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	<title>health risk assessment &#8211; Science</title>
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	<title>health risk assessment &#8211; Science</title>
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		<title>Uranium levels in Iranian drinking water were below guidelines, with modeled health risks varying by age</title>
		<link>https://scienmag.com/uranium-levels-in-iranian-drinking-water-were-below-guidelines-with-modeled-health-risks-varying-by-age/</link>
		
		<dc:creator><![CDATA[Denise Maddox]]></dc:creator>
		<pubDate>Tue, 20 Oct 2026 19:16:01 +0000</pubDate>
				<category><![CDATA[Technology and Engineering]]></category>
		<category><![CDATA[age-specific health risks drinking water]]></category>
		<category><![CDATA[Arsanjan County]]></category>
		<category><![CDATA[Cancer risk]]></category>
		<category><![CDATA[cesium]]></category>
		<category><![CDATA[children's water exposure health risks]]></category>
		<category><![CDATA[concentrations]]></category>
		<category><![CDATA[drinking]]></category>
		<category><![CDATA[drinking water]]></category>
		<category><![CDATA[environmental health risk modeling]]></category>
		<category><![CDATA[Hazard Quotient]]></category>
		<category><![CDATA[health risk assessment]]></category>
		<category><![CDATA[Iran]]></category>
		<category><![CDATA[lifetime cancer risk from drinking water]]></category>
		<category><![CDATA[Monte Carlo simulation]]></category>
		<category><![CDATA[Monte Carlo simulation water risk]]></category>
		<category><![CDATA[non-carcinogenic and carcinogenic water risk]]></category>
		<category><![CDATA[rubidium]]></category>
		<category><![CDATA[uranium]]></category>
		<category><![CDATA[uranium and radioactive elements in drinking water]]></category>
		<category><![CDATA[uranium concentration impact on health]]></category>
		<category><![CDATA[uranium guidelines and safety standards]]></category>
		<category><![CDATA[Uranium levels in Iranian drinking water]]></category>
		<category><![CDATA[water safety risk assessment]]></category>
		<category><![CDATA[water sample analysis Iran]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=321065</guid>

					<description><![CDATA[A drinking-water study in Arsanjan County, Iran, reported uranium concentrations below a 30 µg/L guideline and modeled age-specific health risks using Monte Carlo simulation.]]></description>
										<content:encoded><![CDATA[<p>A study of drinking-water supplies in Arsanjan County, Iran, reported uranium, cesium, and rubidium concentrations and used Monte Carlo simulation to estimate age-specific uranium health risks. According to the article abstract, uranium concentrations were consistently below the U.S. Environmental Protection Agency and World Health Organization guideline of 30 µg/L. The maximum measured cesium concentration was 0.63 µg/L, while rubidium ranged from 2.04 to 13.94 µg/L.</p>
<p>The researchers assessed uranium through non-carcinogenic and carcinogenic risk calculations. In the modeled non-carcinogenic assessment, hazard quotient values were below 1 for every age group. Children younger than 2 years had the highest values, with a median hazard quotient of 0.028 and a 5th–95th percentile range of 0.012–0.061. These results are modeled estimates rather than observed health outcomes or evidence that the study directly measured adverse effects.</p>
<p>The simulations also produced an estimated median excess lifetime cancer morbidity risk of 1.58 × 10−6 and a median excess lifetime cancer mortality risk of 1.02 × 10−6 across all age groups. Sensitivity analysis identified uranium concentration as the most influential factor for both non-carcinogenic and excess cancer risk in the model. The abstract does not provide the sampling design, number of water samples, exposure assumptions, or uncertainty associated with the cancer-risk estimates beyond the reported percentile information for hazard quotients.</p>
<p>The authors said the results highlight the value of continued monitoring and age-specific risk assessment in regional drinking-water management. The available summary does not establish whether the modeled risks changed over time, whether the measured concentrations represent all drinking-water sources in the county, or whether the findings can be generalized beyond Arsanjan County. It also does not report health outcomes in residents, so the study should be interpreted as a concentration survey coupled with a probabilistic risk assessment rather than a clinical or epidemiological study.</p>
<p><strong>Subject of Research:</strong> Monte Carlo assessment of uranium-related health risks in Arsanjan County drinking water</p>
<p><strong>Article Title:</strong> Concentrations of uranium, cesium, and rubidium in drinking water and Monte Carlo–based age-specific health risk assessment of uranium</p>
<p><strong>Article References:</strong> Mohammadpour, A., Golmohammadi, A.-M., Dehbandi, R., Shahrokh, M., Hashemi, H., &amp; Gharaghani, M. A. (2026). Concentrations of uranium, cesium, and rubidium in drinking water and Monte Carlo–based age-specific health risk assessment of uranium. <em>Scientific Reports</em>. <a href="https://doi.org/10.1038/s41598-026-74880-y" rel="noopener noreferrer">https://doi.org/10.1038/s41598-026-74880-y</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1038/s41598-026-74880-y" rel="noopener noreferrer">10.1038/s41598-026-74880-y</a></p>
<p><strong>Keywords:</strong> drinking water, uranium, cesium, rubidium, Monte Carlo simulation, health risk assessment, hazard quotient, cancer risk, Iran, Arsanjan County, Concentrations, drinking</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">321065</post-id>	</item>
		<item>
		<title>Toxic Metals Lurk in Everyday Vegetables Sold in Pakistan&#8217;s Twin Cities, Study Warns</title>
		<link>https://scienmag.com/toxic-metals-lurk-in-everyday-vegetables-sold-in-pakistans-twin-cities-study-warns/</link>
		
		<dc:creator><![CDATA[Russell Cooper]]></dc:creator>
		<pubDate>Mon, 19 Oct 2026 00:40:01 +0000</pubDate>
				<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[cadmium]]></category>
		<category><![CDATA[cadmium and chromium in produce]]></category>
		<category><![CDATA[children's health and metal exposure]]></category>
		<category><![CDATA[chromium]]></category>
		<category><![CDATA[copper]]></category>
		<category><![CDATA[cumulative health risks from vegetable consumption]]></category>
		<category><![CDATA[dietary exposure]]></category>
		<category><![CDATA[environmental monitoring and assessment]]></category>
		<category><![CDATA[environmental pollution in Pothohar region]]></category>
		<category><![CDATA[food safety]]></category>
		<category><![CDATA[food safety in South Asia]]></category>
		<category><![CDATA[health risk assessment]]></category>
		<category><![CDATA[health risks of metal exposure]]></category>
		<category><![CDATA[heavy metal analysis in food]]></category>
		<category><![CDATA[heavy metal contamination in Pakistan]]></category>
		<category><![CDATA[heavy metals]]></category>
		<category><![CDATA[impact of industrial pollution on food safety]]></category>
		<category><![CDATA[nickel]]></category>
		<category><![CDATA[Pakistan]]></category>
		<category><![CDATA[pesticide and pollutant regulation Pakistan]]></category>
		<category><![CDATA[Pothohar region]]></category>
		<category><![CDATA[Toxic metals in vegetables]]></category>
		<category><![CDATA[urban vegetable market contamination]]></category>
		<category><![CDATA[vegetables]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=308704</guid>

					<description><![CDATA[A new study of nine vegetables from Islamabad and Rawalpindi wholesale markets found cadmium, chromium, nickel, and copper at levels exceeding permissible limits, with cumulative risk indices signaling potential non-carcinogenic and carcinogenic health risks, especially for children.]]></description>
										<content:encoded><![CDATA[<p>A trip to the vegetable market in Islamabad or Rawalpindi may deliver more than fresh produce. A new study from researchers at Fatima Jinnah Women University, published in Environmental Monitoring and Assessment, reports that nine commonly consumed vegetables bought from major wholesale markets in Pakistan&#8217;s twin cities carried measurable burdens of cadmium, chromium, nickel, and copper, with several samples exceeding internationally recognized permissible limits. The findings, drawn from samples collected over two months in 2025, add the Pothohar region of Punjab to a growing list of South Asian locations where the everyday act of eating vegetables carries a quantifiable chemical exposure, and they point to cumulative risks that fall hardest on children.</p>
<p>The research team, led by Aleeza Jalil with Mehwish Jamil Noor as corresponding author, set out to answer a deceptively simple question: how much toxic metal do consumers actually ingest when they eat vegetables purchased from local markets, and does that dose matter for health? To find out, they obtained nine vegetable species from wholesale markets in Islamabad and Rawalpindi, cities that together anchor the Pothohar plateau and supply a large urban population. The vegetables were analyzed using Flame Atomic Absorption Spectrophotometry, a well-established analytical technique in which a sample is ashed, dissolved, and aspirated into a flame that excites metal atoms; the wavelength and intensity of the light those atoms absorb reveal which metals are present and at what concentration. This method allowed the team to quantify four target metals: cadmium, chromium, nickel, and copper.</p>
<p>The numbers the spectrophotometer returned were striking. Cadmium ranged from 0.103 milligrams per kilogram in spearmint, Mentha spicata, sampled in Islamabad, to 2.28 milligrams per kilogram in potato, Solanum tuberosum, from Rawalpindi. Chromium varied from 0.09 milligrams per kilogram in Islamabad samples to a high of 7.52 milligrams per kilogram in coriander, Coriandrum sativum, purchased in Rawalpindi. Nickel spanned from 1.24 milligrams per kilogram in coriander from Islamabad to 21.18 milligrams per kilogram in bitter gourd, Momordica charantia, from Rawalpindi. Copper, the least toxic of the four but still problematic in excess, ranged from 1.37 milligrams per kilogram in bitter gourd from Rawalpindi to 24.98 milligrams per kilogram in tomato, Solanum lycopersicum, from Islamabad. Several vegetables, the authors report, exceeded permissible limits particularly for cadmium, chromium, and nickel.</p>
<p>What makes these figures concerning is the toxicology of the metals themselves. Cadmium, ranked among the highest on the United States Agency for Toxic Substances and Disease Registry&#8217;s substance priority list, accumulates in the kidneys and skeleton over decades and is classified as a human carcinogen; there is no beneficial biological role for it in the human body. Chromium, depending on its oxidation state, can range from an essential trace nutrient to the highly toxic hexavalent form that damages DNA. Nickel exposure is associated with dermatitis, respiratory irritation, and carcinogenic outcomes in certain compounds. Copper, in contrast, is an essential micronutrient required for enzyme function, but chronic overexposure damages the liver and gastrointestinal tract. Because plants take up these metals from soil and irrigation water and concentrate them in edible tissues, vegetables act as a direct conduit from contaminated growing environments to the human dinner plate.</p>
<p>The Pothohar region&#8217;s contamination profile has plausible sources rooted in its rapid urbanization. Rawalpindi and Islamabad host dense traffic corridors and industrial activity, and earlier work by some of the same research community has documented air pollution in the twin cities linked to heavy transportation and industry. Atmospheric deposition of metal particles onto leafy surfaces, irrigation with contaminated water, and application of fertilizers or sewage-derived amendments to peri-urban fields are all recognized pathways by which metals enter vegetable crops. Leafy herbs such as coriander and mint are particularly efficient accumulators because their large surface areas intercept airborne particles, while their fine root systems mine the soil intensively. The fact that some of the highest concentrations in this study appeared in coriander and bitter gourd from Rawalpindi is consistent with that pattern, although the study&#8217;s market-based design means it captures the produce supply as a whole rather than tracing individual farms.</p>
<p>To translate concentrations into health consequences, the team deployed the standard battery of dietary risk metrics used by environmental health agencies worldwide. The Estimated Daily Intake, or EDI, multiplies the measured metal concentration by the amount of vegetable a typical person eats each day, divided by body weight, yielding a dose in milligrams per kilogram of body weight per day. The Target Hazard Quotient, or THQ, compares that dose against a reference dose, the level below which regulatory agencies assume no appreciable harm over a lifetime of exposure. A THQ below one is considered acceptable; values above one signal potential non-carcinogenic risk. Summing the THQs across metals and vegetables produces the Hazard Index, or HI, which captures the cumulative burden of exposure to a mixture of metals. Finally, the Target Cancer Risk, or TCR, estimates the incremental lifetime probability of developing cancer from carcinogenic metals such as cadmium and chromium.</p>
<p>The results of this risk calculus reveal an important nuance. When each metal was evaluated on its own through the Estimated Daily Intake, exposures remained within acceptable limits, suggesting that no single vegetable delivers a dangerous dose of any one metal in a typical serving. But the cumulative indices told a different story. The Hazard Index and the Target Cancer Risk both suggested potential non-carcinogenic and carcinogenic risks, especially among children. The reason is arithmetic: children eat more food per kilogram of body weight than adults, so the same metal concentration in a vegetable translates into a higher dose for a smaller body. Their developing organs and longer remaining lifetimes further amplify both non-carcinogenic effects and lifetime cancer probability. A diet built around multiple contaminated vegetables, consumed daily over years, quietly stacks exposures that individually look tolerable but collectively cross thresholds.</p>
<p>This distinction between individual and cumulative risk is where the study&#8217;s significance lies, and it echoes a broader shift in how food safety is being assessed globally. Recent probabilistic assessments of dietary heavy metal exposure in China, Bangladesh, India, and Nigeria have converged on the same conclusion: single-metal, single-food evaluations systematically underestimate real-world risk because diets are diverse and contaminants co-occur. A companion systematic review by members of the same team, also published in Environmental Monitoring and Assessment, documented the global trend of rising heavy metal concentrations in vegetables and the spread of health risk assessment frameworks to quantify them. The Pothohar findings slot into that international picture while adding locally specific data from a region where such measurements had been sparse.</p>
<p>The authors frame their results as a call for action on three fronts. First, continuous monitoring of food quality is needed, since market surveillance of vegetables for metal contamination is not currently routine in Pakistan, and contaminated produce can move through wholesale channels without detection. Second, agricultural practices require improved regulation, including controls on irrigation water quality, fertilizer composition, and the siting of vegetable plots near roads and industry, because preventing uptake at the source is far more effective than testing finished produce. Third, public awareness must increase, so that consumers understand which vegetables and which markets carry higher burdens and how washing, peeling, and dietary diversification can modestly reduce exposure. The research was funded by Fatima Jinnah Women University under grant ORIC/FJWU/2025/308 as part of a project evaluating heavy metal dietary exposure and health risks from vegetable consumption in the twin cities.</p>
<p>For the millions of people who shop in the bazaars of Rawalpindi and Islamabad, the study does not mean vegetables should be abandoned; plant foods remain central to nutrition and disease prevention, and the authors themselves emphasize food safety rather than dietary avoidance. What it does mean is that the safety of those foods depends on environmental conditions far upstream of the market stall, in the soil, water, and air of the farms that supply them. As urbanization intensifies across South Asia and demand for fresh produce grows, the invisible chemistry of contamination will increasingly determine public health outcomes. Studies like this one, which convert parts-per-million measurements into concrete risk estimates for adults and children, provide the evidence base that regulators, farmers, and consumers need to act before cumulative exposure becomes cumulative harm.</p>
<p><strong>Subject of Research:</strong> Heavy metal contamination of market vegetables and associated dietary health risks in the Pothohar region of Punjab, Pakistan</p>
<p><strong>Article Title:</strong> Dietary exposure and health risks associated with selected vegetables from Pothohar Region of Punjab, Pakistan</p>
<p><strong>Article References:</strong> Jalil, A., Noor, M. J., Bukhari, A. L., Shaban, A., &amp; Iram, S. (2026). Dietary exposure and health risks associated with selected vegetables from Pothohar Region of Punjab, Pakistan. <em>Environmental Monitoring and Assessment, 198</em>(9), Article 1020. <a href="https://doi.org/10.1007/s10661-026-15848-3" rel="noopener noreferrer">https://doi.org/10.1007/s10661-026-15848-3</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s10661-026-15848-3" rel="noopener noreferrer">10.1007/s10661-026-15848-3</a></p>
<p><strong>Keywords:</strong> heavy metals, cadmium, chromium, nickel, copper, vegetables, food safety, dietary exposure, health risk assessment, Pakistan, Pothohar region, Environmental Monitoring and Assessment</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">308704</post-id>	</item>
		<item>
		<title>Lead Isotopes Reveal Coal and Traffic as the Hidden Sources of Urban Dust Pollution</title>
		<link>https://scienmag.com/lead-isotopes-reveal-coal-and-traffic-as-the-hidden-sources-of-urban-dust-pollution/</link>
		
		<dc:creator><![CDATA[Russell Cooper]]></dc:creator>
		<pubDate>Sun, 18 Oct 2026 20:58:13 +0000</pubDate>
				<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[Baoding]]></category>
		<category><![CDATA[carcinogenic risk]]></category>
		<category><![CDATA[coal combustion]]></category>
		<category><![CDATA[coal combustion contribution to urban dust]]></category>
		<category><![CDATA[dust fall]]></category>
		<category><![CDATA[enrichment factor]]></category>
		<category><![CDATA[environmental monitoring of particulate matter]]></category>
		<category><![CDATA[forensic geochemistry in pollution studies]]></category>
		<category><![CDATA[geochemical forensic techniques for air quality]]></category>
		<category><![CDATA[health risk assessment]]></category>
		<category><![CDATA[heavy metal pollution]]></category>
		<category><![CDATA[impact of coal and traffic on city air quality]]></category>
		<category><![CDATA[industrial emissions and dust contamination]]></category>
		<category><![CDATA[lead isotope analysis in environmental pollution]]></category>
		<category><![CDATA[lead isotopes]]></category>
		<category><![CDATA[origin tracing of urban dust particles]]></category>
		<category><![CDATA[source apportionment]]></category>
		<category><![CDATA[spatial distribution of urban dust sources]]></category>
		<category><![CDATA[trace element pollution in Chinese cities]]></category>
		<category><![CDATA[trace elements]]></category>
		<category><![CDATA[traffic emissions]]></category>
		<category><![CDATA[traffic-related particulate pollution]]></category>
		<category><![CDATA[urban air quality]]></category>
		<category><![CDATA[urban dust sources]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=307854</guid>

					<description><![CDATA[Lead isotope fingerprints in dust fall from Baoding, China, reveal that coal combustion and traffic emissions together supply over half of the lead pollution in most urban zones, with residential areas showing the highest contamination and carcinogenic risk.]]></description>
										<content:encoded><![CDATA[<p>The dust that settles quietly on windowsills, sidewalks, and park benches in China&#8217;s northern cities carries a chemical memory of everything that floats through the urban air. A new study of Baoding, a rapidly developing city in Hebei Province, has now decoded part of that memory using one of geochemistry&#8217;s most powerful forensic tools: lead isotope analysis. By measuring the isotopic fingerprints of lead trapped in settled dust across residential neighborhoods, busy roads, parks, and industrial zones, researchers have traced the origins of the city&#8217;s trace element pollution with unprecedented clarity, and the results point squarely at two culprits that together dominate the lead burden in most of the city&#8217;s functional areas.</p>
<p>The research, published in Environmental Monitoring and Assessment, was conducted by a team from North China Electric Power University and the Hebei Academy of Sciences led by Hao Zhao and Chun-Gang Yuan. The investigators collected dust fall samples from sixteen strategically chosen sites spanning four distinct functional areas of Baoding: residential areas, busy roads, park areas, and industrial areas. Dust fall, the fraction of atmospheric particulate matter that gravitationally settles out of the air, represents a significant portion of the total atmospheric particulate load, and the trace elements embedded within it pose well-documented risks to human health and urban ecosystems. Because dust fall integrates pollution over time and across sources, it serves as an ideal archive of a city&#8217;s airborne contamination history.</p>
<p>The team measured the concentrations of ten trace elements in each sample: vanadium, manganese, cobalt, chromium, nickel, copper, zinc, arsenic, cadmium, and lead. The analysis revealed significant spatial variation in trace element concentrations across the city, with four elements standing out as the most problematic. Copper, lead, zinc, and cadmium all presented considerable pollution levels relative to background values, a pattern consistent with their common association with anthropogenic activities such as fossil fuel combustion, brake and tire wear, and industrial processing. The remaining elements, while detectable, showed less pronounced enrichment, suggesting that natural sources such as soil and crustal material still contribute meaningfully to the overall dust load.</p>
<p>To quantify the degree of contamination, the researchers employed two complementary geochemical indices. The enrichment factor compares the ratio of a trace element to a reference element in the dust against the same ratio in background soil, flagging elements whose concentrations exceed what natural weathering could explain. The geo-accumulation index provides a similar assessment on a logarithmic scale, classifying pollution intensity from unpolluted to extremely polluted. When these indices were computed for each functional area, a clear and somewhat counterintuitive hierarchy emerged. Pollution levels followed the order residential areas greater than busy roads greater than industrial areas greater than park areas. The finding that residential zones topped the list, even ahead of traffic corridors and factory districts, underscores how thoroughly combustion-derived and traffic-derived contaminants have permeated the environments where people spend most of their lives.</p>
<p>The health implications of this distribution were assessed using standard risk assessment frameworks developed by the United States Environmental Protection Agency, which estimate exposure through ingestion, inhalation, and dermal contact pathways. The results delivered a mixed verdict. The total non-carcinogenic risk, which aggregates the potential of the trace elements to cause harm other than cancer, remained below the accepted threshold across the city. However, the total carcinogenic risk, driven primarily by elements such as arsenic, cadmium, chromium, and nickel that the International Agency for Research on Cancer classifies as carcinogenic hazards, exceeded the acceptable threshold in several functional areas. Busy roads and residential areas were singled out as the zones of greatest concern, meaning that the places where people commute and where children play and families live carry the highest cumulative cancer risk from dust-borne metals.</p>
<p>The most technically innovative component of the study was its use of lead isotope ratios to apportion the sources of lead pollution. Lead in nature exists as a mixture of four stable isotopes, and the ratios among them vary depending on the geological origin of the lead ore from which any given emission derives. Because lead isotope ratios are not significantly altered by chemical or physical processes in the environment, they act as immutable fingerprints that can be matched against known source signatures. Coal combustion, traffic emissions, industrial metallurgy, and natural soil each carry distinctive isotopic compositions, and the relative contributions of these sources to a dust sample can be calculated using isotope mixing models. The measurements were performed using inductively coupled plasma mass spectrometry instrumentation, including an ICP-MS 7900 and an ICP-QQQ 8900, with technical support from Agilent Technologies in China.</p>
<p>The isotopic analysis produced an unambiguous conclusion: the dominant combined source group for lead in Baoding&#8217;s dust fall was coal combustion together with traffic emissions, which jointly accounted for more than fifty percent of the total lead contribution in most of the functional areas examined. This dual signature reflects the particular character of northern Chinese cities, where winter heating has historically relied heavily on coal and where vehicle fleets continue to grow even after the nationwide phase-out of leaded gasoline. Traffic-related lead today derives largely from non-exhaust sources such as brake pad wear, tire degradation, and the resuspension of historically deposited lead from past leaded fuel use, a legacy contamination problem that studies in cities like London and Singapore have shown can persist for decades in urban soils and dusts.</p>
<p>The Baoding findings fit into a broader body of research demonstrating the power of lead isotopes for environmental forensics. Previous studies have used isotope ratios to identify lead sources in the atmosphere of Beijing, to track pollution in megacities after the phasing out of leaded petrol, and even to trace the origins of atmospheric lead reaching the Arctic. The technique has also been applied closer to Baoding&#8217;s context, with earlier work by members of the same research group using lead isotope-based multi-source mixing models to decrypt the sources of antimony pollution in fine particulate matter. What distinguishes the new study is its systematic comparison across functional areas within a single mid-sized city, providing a spatially resolved picture of how different urban land uses accumulate pollution from different source mixes.</p>
<p>The study&#8217;s authors argue that their results carry direct policy implications. Because coal combustion and traffic emissions together dominate the lead burden, and because carcinogenic risk thresholds are exceeded along busy roads and in residential areas, mitigation efforts should be targeted with precision rather than applied uniformly. Measures such as continued conversion from coal heating to cleaner energy sources, stricter controls on vehicle emissions and non-exhaust particulate generation, enhanced street cleaning to reduce dust resuspension, and green buffers between traffic corridors and housing could all reduce exposure in the highest-risk zones. The researchers emphasize that focused pollution mitigation policies are urgently required, particularly along busy roads and in residential areas, to minimize the adverse health impacts linked to trace element exposure.</p>
<p>Beyond its immediate findings for Baoding, the study offers a template for environmental management in the many rapidly developing cities across northern China and beyond that face similar combinations of coal-based energy systems, growing traffic, and dense residential populations. The work was funded by the National Natural Science Foundation of China. By combining classical contamination indices and health risk assessment with the source-resolving power of isotope geochemistry, the researchers have shown how a city can move beyond simply measuring pollution to understanding where it comes from, which neighborhoods bear the greatest burden, and which interventions will deliver the greatest public health return. As urban populations continue to grow, that kind of actionable, source-specific intelligence may prove to be one of the most valuable byproducts of the dust settling on our cities.</p>
<p><strong>Subject of Research:</strong> Lead isotope source apportionment of trace element pollution in urban dust fall across functional areas of a northern Chinese city</p>
<p><strong>Article Title:</strong> Lead isotope characteristics and source analysis of dust fall in different functional areas of a typical city in northern China</p>
<p><strong>Article References:</strong> Zhao, H., Yuan, C.-G., Shen, Y.-W., Xie, J.-J., &amp; Zhao, C.-X. (2026). Lead isotope characteristics and source analysis of dust fall in different functional areas of a typical city in northern China. <em>Environmental Monitoring and Assessment, 198</em>(9), Article 1022. <a href="https://doi.org/10.1007/s10661-026-15859-0" rel="noopener noreferrer">https://doi.org/10.1007/s10661-026-15859-0</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s10661-026-15859-0" rel="noopener noreferrer">10.1007/s10661-026-15859-0</a></p>
<p><strong>Keywords:</strong> dust fall, lead isotopes, trace elements, source apportionment, heavy metal pollution, health risk assessment, coal combustion, traffic emissions, urban air quality, Baoding, enrichment factor, carcinogenic risk</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">307854</post-id>	</item>
		<item>
		<title>Bus Stop Dust and Soil Reveal Two-Way Migration of Heavy Metals in Xi&#8217;an Study</title>
		<link>https://scienmag.com/bus-stop-dust-and-soil-reveal-two-way-migration-of-heavy-metals-in-xian-study/</link>
		
		<dc:creator><![CDATA[Violet Maxwell]]></dc:creator>
		<pubDate>Sun, 18 Oct 2026 09:45:48 +0000</pubDate>
				<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[bus stops]]></category>
		<category><![CDATA[children's health]]></category>
		<category><![CDATA[coupling coordination analysis]]></category>
		<category><![CDATA[environmental monitoring methods]]></category>
		<category><![CDATA[environmental sampling at bus stops]]></category>
		<category><![CDATA[geo-accumulation index]]></category>
		<category><![CDATA[health risk assessment]]></category>
		<category><![CDATA[heavy metal toxicology]]></category>
		<category><![CDATA[heavy metals]]></category>
		<category><![CDATA[heavy metals in dust and soil]]></category>
		<category><![CDATA[impact of transportation emissions]]></category>
		<category><![CDATA[long-term metal accumulation]]></category>
		<category><![CDATA[Nemerow pollution index]]></category>
		<category><![CDATA[particulate matter from traffic and industry]]></category>
		<category><![CDATA[pollution transfer mechanisms]]></category>
		<category><![CDATA[soil pollution]]></category>
		<category><![CDATA[source apportionment]]></category>
		<category><![CDATA[street dust]]></category>
		<category><![CDATA[traffic pollution]]></category>
		<category><![CDATA[two-way heavy metal migration]]></category>
		<category><![CDATA[urban pollution]]></category>
		<category><![CDATA[urban soil and dust contamination]]></category>
		<category><![CDATA[Xi'an]]></category>
		<category><![CDATA[Xi'an environmental study]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=305124</guid>

					<description><![CDATA[A study of 104 dust and soil samples from Xi'an bus stops shows for the first time that heavy metals migrate interactively between the two media, as quantified by coupling coordination analysis.]]></description>
										<content:encoded><![CDATA[<p>Every bus stop in a busy city is more than a place to wait for a ride. It is a small environmental sampling station, constantly collecting particles shed by brakes, tires, industry, and the surrounding soil. A new study from Xi&#8217;an, China, has turned these unassuming transit points into a laboratory for answering a question that has long troubled environmental scientists: when heavy metals accumulate in street dust and in soil, are the two reservoirs independent, or are they actively exchanging their chemical burdens? The answer, published in Environmental Monitoring and Assessment, is that dust and soil are locked in a measurable, two-way conversation.</p>
<p>The research team, led by Xi Wang and colleagues at Shaanxi University of Science and Technology, collected 52 paired samples of surface dust and soil from bus stops across Weiyang District in Xi&#8217;an, yielding 104 individual samples for analysis. Their targets were six heavy metals with well-documented toxicological profiles: chromium, manganese, copper, zinc, arsenic, and lead. These elements are staples of urban pollution studies because they are emitted by traffic, industry, and natural weathering alike, and because once deposited they persist for decades in the environments where people live, walk, and wait for buses.</p>
<p>To quantify how contaminated the sites were, the researchers deployed two of the most widely used tools in environmental geochemistry. The first was the geo-accumulation index, a metric introduced by German geochemist Gerhard Müller in 1969, which compares measured concentrations against regional background values and assigns pollution classes ranging from unpolluted to extremely polluted. The second was the Nemerow Comprehensive Pollution Index, which aggregates multiple contaminants into a single score that reflects the worst-case burden at a site. Together, these indices allowed the team to translate raw concentration data into a standardized picture of pollution severity across the district.</p>
<p>The results painted a chemically distinctive portrait of Weiyang District. Average concentrations of most of the six metals in both dust and soil exceeded the established background values for soils in Shaanxi Province, with the telling exceptions of arsenic and manganese. This pattern is significant because arsenic and manganese are typically dominated by natural geological sources, whereas elements like lead, zinc, copper, and chromium are classic fingerprints of human activity, particularly vehicular traffic and industrial processes. In other words, the bus stops of Xi&#8217;an are carrying an anthropogenic metal signature superimposed on the region&#8217;s natural geochemistry.</p>
<p>Just as striking was the spatial structure the team uncovered. Heavy metal concentrations in dust rose toward the east of the district and fell toward the west, while in soil the pattern was reversed, with higher values in the south and lower values in the north. Such opposing gradients are exactly what one would expect if the two media were being fed by different combinations of local sources, wind patterns, and land uses, rather than simply mirroring one another. The finding underscores a point that has become increasingly clear in urban pollution research: dust and soil are not interchangeable proxies for each other, and treating them as such can obscure the true geography of contamination.</p>
<p>To probe the relationship between the two media more rigorously, the researchers borrowed a mathematical framework from systems science known as coupling coordination analysis. Originally developed to evaluate how well paired systems, such as regional economies and their environments, evolve in harmony, the method computes a coordination degree that ranges from disorder to high synchronization. Applied here for what the authors describe as the first time to heavy metal concentrations in dust and soil, the analysis produced a moderate coordination value, indicating that the metal burdens in the two media are neither fully independent nor perfectly matched.</p>
<p>That moderate coupling carries a substantive interpretation. It suggests that heavy metals are actively migrating between surface dust and underlying soil, moving through processes such as wet and dry deposition, particle resuspension by wind and traffic turbulence, and rain-driven leaching from dust into the ground. The practical consequence is that pollution sources affecting one medium are likely to be similar to those affecting the other, which means remediation strategies that target only dust or only soil will miss part of the problem. The authors argue that their findings provide a reference framework for building both single-medium and multi-medium heavy metal migration models, a step toward treating urban contamination as a connected system rather than a collection of isolated compartments.</p>
<p>The study also quantified who is most at risk from the contamination it documented. Using standard exposure models aligned with guidance from the United States Environmental Protection Agency and China&#8217;s Ministry of Environmental Protection, the team evaluated three principal exposure pathways: hand-to-mouth ingestion of particles, inhalation of resuspended dust, and dermal contact with contaminated surfaces. For both adults and children, ingestion emerged as the dominant route of exposure, a finding consistent with the behavior of particles in the size ranges typical of street dust, which adhere readily to hands and are easily transferred to the mouth during eating, touching the face, or handling objects.</p>
<p>The health risk calculations revealed a familiar but sobering hierarchy. Non-carcinogenic risk, expressed as a hazard index comparing estimated intake against reference doses, was higher for children than for adults at every stage of the analysis. Children are more vulnerable for well-understood reasons: they ingest more material per unit of body weight, they spend more time in contact with ground-level surfaces, and their developing physiology is more sensitive to toxic insult. While the study did not report carcinogenic risk exceeding acceptable thresholds, the elevated hazard indices for children reinforce a message that urban planners and public health officials have been internalizing for years, namely that the populations most exposed to street-level contamination are often the least equipped to tolerate it.</p>
<p>Source apportionment, the process of tracing contaminants back to their origins, identified three principal contributors to the metal burden at Xi&#8217;an&#8217;s bus stops: traffic, natural sources, and industrial activity. This tripartite signature is common in rapidly developing cities, where vehicle fleets, construction, manufacturing, and the underlying geology all leave overlapping chemical traces. The identification of traffic as a leading source is particularly relevant to the study&#8217;s setting, since bus stops concentrate idling vehicles, frequent braking, and pedestrian activity in small areas, creating localized hotspots of metal deposition that would be diluted in citywide averages.</p>
<p>Beyond its specific findings for Weiyang District, the study represents a methodological contribution with potentially wide reach. Coupling coordination analysis has been applied to problems ranging from regional sustainability to healthcare resource allocation, but its adaptation to paired environmental media is new. By demonstrating that the technique can detect and quantify the degree of interaction between dust and soil metal reservoirs, the authors have opened a pathway for researchers in other cities to test whether similar migration dynamics hold elsewhere. If the moderate coupling observed in Xi&#8217;an proves to be a general feature of urban environments, it would justify a shift in how heavy metal monitoring is designed, moving from single-medium snapshots toward integrated assessments that track contaminants as they cycle between the ground and the air at the scale of a city block.</p>
<p>For the millions of people who wait at bus stops every day, the study offers a reminder that the dust settling on benches, pavement, and clothing is not inert. It is part of an active exchange with the soil beneath, driven by the same traffic and industry that make urban air difficult to breathe. Understanding that exchange, the authors suggest, is a prerequisite for designing interventions, whether more frequent street cleaning, greener transit infrastructure, or targeted soil remediation, that actually reduce the metal loads to which urban residents, and especially children, are exposed.</p>
<p><strong>Subject of Research:</strong> Heavy metal pollution and dust-soil migration at urban bus stops in Xi&#x27;an, China</p>
<p><strong>Article Title:</strong> Interactive migration of heavy metals between dust and soil demonstrated by the coupling coordination analysis</p>
<p><strong>Article References:</strong> Wang, X., Li, S., Liu, P., Xu, Y., Cao, X., Wu, Z., Miao, Z., &amp; Guo, J. (2026). Interactive migration of heavy metals between dust and soil demonstrated by the coupling coordination analysis. <em>Environmental Monitoring and Assessment, 198</em>(9), Article 1031. <a href="https://doi.org/10.1007/s10661-026-15820-1" rel="noopener noreferrer">https://doi.org/10.1007/s10661-026-15820-1</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s10661-026-15820-1" rel="noopener noreferrer">10.1007/s10661-026-15820-1</a></p>
<p><strong>Keywords:</strong> heavy metals, street dust, soil pollution, coupling coordination analysis, bus stops, Xi&#x27;an, health risk assessment, geo-accumulation index, Nemerow pollution index, traffic pollution, source apportionment, children&#x27;s health</p>
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		<title>Wealth, Not Population, Is Draining a North African Coastal Aquifer, Study Finds</title>
		<link>https://scienmag.com/wealth-not-population-is-draining-a-north-african-coastal-aquifer-study-finds/</link>
		
		<dc:creator><![CDATA[Violet Maxwell]]></dc:creator>
		<pubDate>Fri, 16 Oct 2026 11:38:00 +0000</pubDate>
				<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[Science News]]></category>
		<category><![CDATA[Algeria]]></category>
		<category><![CDATA[aquifer sustainability and management]]></category>
		<category><![CDATA[artificial intelligence in water resource management]]></category>
		<category><![CDATA[artificial neural networks]]></category>
		<category><![CDATA[coastal aquifer]]></category>
		<category><![CDATA[DPSIR framework]]></category>
		<category><![CDATA[effects of coastal tourism on groundwater]]></category>
		<category><![CDATA[Falkenmark index and water scarcity thresholds]]></category>
		<category><![CDATA[groundwater]]></category>
		<category><![CDATA[groundwater depletion]]></category>
		<category><![CDATA[health risk assessment]]></category>
		<category><![CDATA[heavy metal contamination]]></category>
		<category><![CDATA[human health risk assessment of aquifer decline]]></category>
		<category><![CDATA[impact of rising income and tourism on groundwater]]></category>
		<category><![CDATA[Mediterranean]]></category>
		<category><![CDATA[Mediterranean region water stress]]></category>
		<category><![CDATA[North African coastal aquifer]]></category>
		<category><![CDATA[population versus economic growth in water depletion]]></category>
		<category><![CDATA[seawater intrusion]]></category>
		<category><![CDATA[tourism]]></category>
		<category><![CDATA[water management]]></category>
		<category><![CDATA[water scarcity]]></category>
		<category><![CDATA[water scarcity in Algeria]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=284874</guid>

					<description><![CDATA[An integrated AI and health-risk study of Algeria's Annaba coastal aquifer finds that rising per capita income and tourism, not population growth, are the main drivers of groundwater overexploitation, while cadmium and lead contamination pose severe health risks.]]></description>
										<content:encoded><![CDATA[<p>Beneath the coastal plain of Annaba in northeastern Algeria lies an aquifer that has quietly sustained one of North Africa&#8217;s most productive agricultural and urban regions for decades. Today, that hidden reservoir is in trouble. A new study published in Frontiers in Earth Science combines artificial intelligence, multivariate statistics, and human health risk assessment to deliver an unusually complete diagnosis of the aquifer&#8217;s decline, and its central finding is striking: the biggest threat to this groundwater system is not population growth, as long assumed, but rising per capita income and booming coastal tourism. The research, led by Samir Hani and Nabil Harrat of Badji Mokhtar Annaba University together with colleagues, offers a template that could reshape how water-stressed Mediterranean regions manage their most fragile resource.</p>
<p>The numbers behind the study tell a stark story of shrinking margins. Per capita water availability in the Annaba region has collapsed from 1,500 cubic meters per year in 1962 to roughly 500 cubic meters today, placing the area below the absolute water scarcity threshold defined by the Falkenmark index. A population of approximately two million people depends heavily, and often exclusively, on the coastal aquifer, which is being pumped at an estimated 250 to 280 cubic hectometers per year, a rate that approaches or exceeds the estimated renewable resource. The consequences are visible in the data: piezometric levels are falling by one to two meters per year in central sectors, seawater has pushed inland across a 10 to 15 kilometer coastal band, and nitrate concentrations from inadequate wastewater treatment and agricultural inputs exceed World Health Organization drinking water standards in multiple areas.</p>
<p>Geologically, the Annaba plain is a subsiding tectonic graben wedged between the Edough metamorphic massif, the Numidian fold-and-thrust belt, and the Mediterranean Sea. Its aquifer consists of Quaternary sands, gravels, and clays reaching thicknesses of up to 150 meters in the central plain, resting on Miocene marls that act as a regional aquitard. With mean annual rainfall of 600 to 800 millimeters and potential evapotranspiration exceeding 1,200 millimeters, the hydrological balance is delicate: recharge is limited, and human abstraction increasingly captures water that would naturally discharge toward the sea. This configuration makes the system acutely sensitive to any sustained increase in pumping, and it explains why the authors argue that understanding who is using the water, and why, matters as much as mapping the aquifer itself.</p>
<p>To capture the interplay between economics and hydrogeology, the team built a framework called CWIMSAM, the Conceptual Water Integrated Model for Semi-Arid Mediterranean basins. It organizes the problem using the Driver-Pressure-State-Impact-Response logic adopted by the European Environment Agency: socioeconomic drivers such as income growth and tourism generate abstraction pressures that alter the physical state of the aquifer, producing drawdown, seawater intrusion, and nitrate accumulation, which in turn create health and economic impacts that demand institutional responses. Crucially, the framework closes the loop, feeding observed degradation back into governance levers such as leak reduction, treated wastewater reuse, and progressive water pricing, so that management decisions continuously adjust to changing conditions.</p>
<p>The quantitative heart of the study is a Multi-Layer Perceptron neural network with a 14-7-1 architecture: fourteen socioeconomic input variables, seven hidden neurons, and a single output representing groundwater abstraction. The inputs ranged from population and per capita income to tourism, water pricing, agricultural consumption, and unaccounted-for water losses. Because only 21 municipalities were available as training cases, the researchers took unusual care to avoid overfitting. They tested 500 candidate network configurations, enforced a structural constraint limiting the number of trainable weights relative to sample size, applied automated early stopping, and then subjected the final model to leave-one-out cross-validation, in which each municipality was held out in turn and predicted by a network trained on the other twenty. The cross-validated coefficient of determination of 0.929 and correlation of 0.967 confirmed that the model generalizes genuinely rather than memorizing its small dataset.</p>
<p>The sensitivity analysis that followed produced the study&#8217;s most policy-relevant result. Per capita income emerged as the single most influential driver of groundwater withdrawal, with tourism ranked second, followed by agricultural water consumption and per capita consumption. This finding overturns the conventional attribution of overexploitation to population growth and agricultural expansion. The authors interpret the income-abstraction link through multiple demand pathways: greater household appliance ownership, swimming pools, expansion of the commercial and hospitality sector, and the replacement of traditional water-efficient practices with water-intensive modern lifestyles. Tourism is particularly problematic because Algeria&#8217;s post-hydrocarbon economic diversification agenda promotes coastal development precisely in the municipalities most vulnerable to seawater intrusion, creating a direct tension between economic strategy and aquifer sustainability that is currently not addressed in Algerian water governance.</p>
<p>Multivariate statistics then translated these findings into a spatial management map. Principal component analysis reduced thirteen variables to three factors explaining 71 percent of the variance, dominated by an abstraction factor linking water withdrawal with stormwater coverage, population, income, and tourism. Hierarchical cluster analysis split the 21 municipalities into two sharply contrasting zones. An inland cluster of 18 municipalities faces vulnerability dominated by diffuse agricultural runoff and urban land-use pressures. A coastal cluster of just three municipalities, Bouteldja, Pont Bouchet, and Salines, forms what the authors call a coastal abstraction and salinization hotspot. These towns sit atop highly permeable unconfined dune sands with hydraulic conductivities of 10 to the minus 4 to 10 to the minus 3 meters per second and no protective clay cover, host the public wellfields supplying the city of Annaba with abstraction exceeding 150 cubic hectometers per year, and show electrical conductivity above 4,000 microsiemens per centimeter and chloride concentrations above 1,000 milligrams per liter, signatures of aggressive seawater intrusion.</p>
<p>The study&#8217;s health risk component adds an alarming human dimension. Drawing on the most spatially exhaustive multi-element monitoring dataset available, a 2019 baseline of 20 sampling points around an unlined landfill that receives roughly 200 tons of waste daily, the team quantified cadmium, copper, lead, and zinc exposure under agricultural and livestock scenarios following USEPA and WHO methodologies. The results are sobering. Cadmium ingestion via root vegetables yielded hazard quotients of 31.9 for children and 13.7 for adults, against an acceptable threshold of 1, while lead reached 6.64 in children. In the livestock pathway, zinc exposure through milk consumption exceeded safety limits with hazard quotients of 5.23 for children and 2.61 for adults. Even dermal contact with cadmium-contaminated sludge during agricultural work produced an unacceptable non-carcinogenic risk of 1.59 alongside a carcinogenic excess lifetime risk of 9.67 times 10 to the minus 7. The authors caution that these values represent a conservative baseline profile rather than real-time exposure, since geochemical conditions in coastal aquifers shift over time, but they underscore an urgent need for remediation and continuous monitoring.</p>
<p>What distinguishes this work is its insistence that the findings translate directly into differentiated policy. The authors propose a five-step institutional roadmap for Algerian water authorities, beginning with a shared spatial data platform among the basin agency, water directorate, and utility, then embedding the neural network into an operational decision-support system that triggers early-warning alerts when projected abstraction exceeds sustainable yield. The two management zones would then receive tailored regulation: strict moratoria on new private wells, mandatory metering, and priority allocation of desalinated supplies in the vulnerable coastal cluster, versus managed aquifer recharge with treated wastewater and agricultural best practices inland. Because unaccounted-for water losses run at 30 to 45 percent across the study area, well above the Mediterranean average, network rehabilitation alone could recover an estimated 75 to 105 cubic hectometers per year of supply without asking consumers to reduce demand at all.</p>
<p>The broader significance extends well beyond Annaba. North African coastal aquifers, from Tunisia&#8217;s Jeffara plain to Morocco&#8217;s agricultural basins, face the same convergence of semi-arid climate, rapid socioeconomic change, and fragile geology, and roughly 70 percent of the region&#8217;s agricultural production and domestic supply depends on groundwater. The authors argue that the CWIMSAM framework, with its modular design allowing local recalibration of the neural network and cluster structure, is transferable across these systems, and its explicit linkage to Sustainable Development Goal 6 indicators positions it as a practical instrument for national water security reporting. Future work will integrate CMIP6 climate projections, expand monitoring to sub-municipal resolution, and apply isotope tracers to quantify seawater mixing. But the core message is already clear: in water-scarce coastal regions, managing demand means managing prosperity itself, and the tools to do so now exist.</p>
<p><strong>Subject of Research:</strong> Integrated hydrogeological and socioeconomic assessment of groundwater vulnerability in the Annaba coastal aquifer, northeastern Algeria</p>
<p><strong>Article Title:</strong> Groundwater resource vulnerability in the annaba coastal aquifer, northeastern Algeria: integrating hydrogeological and socio-economic drivers for sustainable management</p>
<p><strong>Article References:</strong> Hani, S., Harrat, N., Hamzaoui, W., &amp; Reghais, A. (2026). Groundwater resource vulnerability in the annaba coastal aquifer, northeastern Algeria: integrating hydrogeological and socio-economic drivers for sustainable management. <em>Frontiers in Earth Science, 14</em>, Article 1888646. <a href="https://doi.org/10.3389/feart.2026.1888646" rel="noopener noreferrer">https://doi.org/10.3389/feart.2026.1888646</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.3389/feart.2026.1888646" rel="noopener noreferrer">10.3389/feart.2026.1888646</a></p>
<p><strong>Keywords:</strong> groundwater, coastal aquifer, seawater intrusion, Algeria, artificial neural networks, water scarcity, heavy metal contamination, health risk assessment, DPSIR framework, tourism, water management, Mediterranean</p>
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		<title>Bonfire Night for Holi Doubles Fine Particle Pollution in Lucknow&#8217;s Air</title>
		<link>https://scienmag.com/bonfire-night-for-holi-doubles-fine-particle-pollution-in-lucknows-air/</link>
		
		<dc:creator><![CDATA[Russell Cooper]]></dc:creator>
		<pubDate>Wed, 14 Oct 2026 17:12:48 +0000</pubDate>
				<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[AERMOD]]></category>
		<category><![CDATA[Air pollution]]></category>
		<category><![CDATA[Air pollution measurement in Indian cities]]></category>
		<category><![CDATA[Air quality monitoring during Holi celebrations]]></category>
		<category><![CDATA[biomass burning]]></category>
		<category><![CDATA[Bonfire Night environmental impact]]></category>
		<category><![CDATA[Cancer risk]]></category>
		<category><![CDATA[Environmental health hazards of traditional festivals]]></category>
		<category><![CDATA[environmental monitoring and assessment]]></category>
		<category><![CDATA[fine particulate matter PM2.5 health risks]]></category>
		<category><![CDATA[Fireworks and waste burning air pollution]]></category>
		<category><![CDATA[health risk assessment]]></category>
		<category><![CDATA[Holi festival]]></category>
		<category><![CDATA[Holi festival air pollution]]></category>
		<category><![CDATA[Holika Dahan]]></category>
		<category><![CDATA[HYSPLIT]]></category>
		<category><![CDATA[Impact of Holi bonfires on respiratory health]]></category>
		<category><![CDATA[Indian festival pollution and public health]]></category>
		<category><![CDATA[Lucknow]]></category>
		<category><![CDATA[Lucknow air quality study]]></category>
		<category><![CDATA[PM2.5]]></category>
		<category><![CDATA[PM2.5 pollution spike during cultural celebrations]]></category>
		<category><![CDATA[source apportionment]]></category>
		<category><![CDATA[Urban pollution during Indian festivals]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=271587</guid>

					<description><![CDATA[A new study in Lucknow, India, found that Holika Dahan bonfires doubled PM2.5 levels on the night before Holi and pushed estimated cancer risk beyond US EPA safety limits.]]></description>
										<content:encoded><![CDATA[<p>On the night before Holi, one of India&#8217;s most vibrant festivals, communities across the country light enormous bonfires known as Holika Dahan, burning wood, dung cakes, and an assortment of waste materials in a ritual that symbolizes the victory of good over evil. The spectacle is ancient and deeply cherished, but it also releases a dense plume of smoke into urban air that is already among the most polluted in the world. A new study from Lucknow, in the northern Indian state of Uttar Pradesh, has now measured exactly what those fires do to the city&#8217;s air, tracing fine particulate matter through three consecutive nights and calculating the health risks that follow. The results show a sharp, measurable spike in pollution that doubles fine particle concentrations in some neighborhoods and pushes cancer risk estimates beyond safety thresholds set by the United States Environmental Protection Agency.</p>
<p>The research, led by Sreekanth Bojjagani of the CSIR-Indian Institute of Toxicology Research together with colleagues S. S. Kalikinkar Mahanta and Hari Om Prasad, was published in the journal Environmental Monitoring and Assessment. The team focused on fine particulate matter, or PM2.5, particles no wider than 2.5 micrometers that are small enough to slip past the body&#8217;s natural defenses in the nose and throat and lodge deep in the lungs. Because these particles can carry toxic metals and organic compounds on their surfaces, they are considered among the most dangerous forms of air pollution, linked in large epidemiological studies to cardiovascular disease, respiratory illness, and premature death.</p>
<p>To capture the festival&#8217;s fingerprint, the researchers sampled air at two contrasting urban sites in Lucknow, one residential and one commercial, across three sequential nights: before Holika Dahan, the night of the bonfires themselves, and the night after. This before-during-after design allowed them to isolate the festival&#8217;s contribution from the city&#8217;s usual background of traffic, industry, and cooking smoke. The comparison was striking. On the night of the bonfires, PM2.5 concentrations rose to twice the pre-festival level at the residential site and 1.4 times the pre-festival level at the commercial site, a rapid degradation of air quality within a single evening.</p>
<p>But the team went beyond simply measuring how much particulate matter was in the air; they wanted to know what it was made of and where it came from. Using sophisticated chemical analysis, they identified tracer signatures characteristic of biomass combustion, the mixed fuel of wood, agricultural residue, and waste that feeds the Holika Dahan fires. These tracers were elevated by factors ranging from 1.2 to 2.7 on the festival night compared with the night before, providing a chemical receipt of what had been burned. The researchers also employed attenuated total reflectance Fourier transform infrared spectroscopy, or ATR-FTIR, a technique that probes the molecular functional groups on the surface of collected particles. The spectra revealed peaks in markers associated with biomass burning, confirming at the molecular level that the bonfires had left a measurable imprint on the local aerosol chemistry.</p>
<p>To pin down the source definitively, the team applied two statistical tools commonly used in air quality forensics: principal component analysis and hierarchical cluster analysis. Both methods group chemical species that behave together, allowing researchers to infer which emission sources dominate a given air sample. In this case, the statistics converged on a single conclusion: biomass burning from Holika Dahan was the predominant source of PM2.5 at both study sites on the festival night, outweighing the usual urban contributors during those hours. It is a rare example of a single cultural event overwhelming the everyday pollution profile of a city of millions.</p>
<p>Where did all that smoke go? To answer this, the researchers turned to two complementary modeling tools. The HYSPLIT trajectory model, developed by the National Oceanic and Atmospheric Administration, simulates the paths that air parcels travel, and its simulations showed the festival emissions drifting primarily eastward and southeastward away from the burning sites. Meanwhile, the AERMOD dispersion model, a regulatory standard for estimating how pollutants spread from their sources, generated hotspot maps showing that the bonfire emissions remained locally concentrated, propagating up to about 1.2 kilometers from the residential area and 1.5 kilometers from the commercial area. In other words, the smoke did not simply vanish into the regional haze; it settled over nearby streets and homes, exposing residents who lived closest to the fires.</p>
<p>The final step was translating these concentrations into health risk. Using the framework of the United States Environmental Protection Agency, the team calculated two distinct metrics. The first, the hazard index, estimates the risk of non-cancerous health effects such as respiratory irritation from inhaling the particle-bound toxic substances. Encouragingly, the hazard index values remained below the EPA&#8217;s permissible limit at both sites, even on the festival night when pollution peaked, suggesting that a single night of exposure does not pose an acute non-carcinogenic threat. The second metric, the cancer risk estimate, tells a more sobering story. At both sites, the calculated cancer risk exceeded the EPA&#8217;s safe limits due to the festival&#8217;s impact, with the peak occurring on the night of Holika Dahan itself. While a single night&#8217;s exposure is brief, the finding points to a cumulative concern: festivals like this recur annually, and their emissions add to a lifetime burden of inhaling carcinogenic compounds carried on fine particles.</p>
<p>The study&#8217;s findings sit within a broader and growing body of research on festival pollution in India. Previous work has documented aerosol spikes during Holi color play, Diwali fireworks, and crop residue burning episodes across the Indo-Gangetic Plain, the heavily populated corridor in which Lucknow lies. Earlier studies have shown that Holi colors themselves contain inhalable coarse particles capable of triggering inflammatory responses, and that bonfires during the Holika festival alter the optical and radiative properties of the atmosphere. What distinguishes the new research is its comprehensive approach: rather than measuring a single pollutant, the team combined chemical speciation, spectroscopic fingerprinting, statistical source apportionment, trajectory modeling, dispersion modeling, and formal health risk assessment into one integrated picture of a single night&#8217;s air quality crisis.</p>
<p>The implications extend beyond Lucknow. Millions of bonfires are lit across India on the same night, meaning the aggregate emissions from Holika Dahan represent a substantial, recurring pulse of fine particulate matter into an atmosphere that already exceeds national air quality standards for much of the year. The researchers emphasize that their findings highlight both short-term air quality degradation and potential long-term health concerns tied specifically to Holi festival-related combustion. Because the pollution hotspots are localized within a kilometer or so of the fires, residents living near large community bonfires bear a disproportionate share of the exposure, raising questions about where such fires should be lit in dense urban neighborhoods and what cleaner alternatives might exist.</p>
<p>There is no suggestion in the study that the tradition itself should end, and the authors frame their work as evidence for informed management rather than prohibition. Understanding precisely how much pollution the fires generate, which chemical tracers identify them, how far the smoke travels, and what health risks it carries gives city planners and public health officials the tools to mitigate harm, whether through better siting of bonfires, restrictions on burning plastic and other hazardous waste within the fuel mix, or advance public advisories for vulnerable populations such as children, the elderly, and those with respiratory conditions. As India grapples with some of the world&#8217;s most severe urban air pollution, even a single night of celebration, the study makes clear, is a night that leaves a measurable mark on the lungs of the city.</p>
<p><strong>Subject of Research:</strong> Air quality and health impacts of Holika Dahan bonfire emissions on PM2.5 in Lucknow, India</p>
<p><strong>Article Title:</strong> Impact of Holika Dahan on ambient PM2.5 and associated health risks in an urban environment of Lucknow, India</p>
<p><strong>Article References:</strong> Bojjagani, S., Mahanta, S. S. K., &amp; Prasad, H. O. (2026). Impact of Holika Dahan on ambient PM2.5 and associated health risks in an urban environment of Lucknow, India. <em>Environmental Monitoring and Assessment, 198</em>(11), Article 1194. <a href="https://doi.org/10.1007/s10661-026-16041-2" rel="noopener noreferrer">https://doi.org/10.1007/s10661-026-16041-2</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s10661-026-16041-2" rel="noopener noreferrer">10.1007/s10661-026-16041-2</a></p>
<p><strong>Keywords:</strong> Holika Dahan, PM2.5, air pollution, biomass burning, Lucknow, Holi festival, health risk assessment, HYSPLIT, AERMOD, cancer risk, source apportionment, Environmental Monitoring and Assessment</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">271587</post-id>	</item>
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		<title>Landfill Leachate Is Quietly Poisoning Soil and Water in Northeast India, Study Finds</title>
		<link>https://scienmag.com/landfill-leachate-is-quietly-poisoning-soil-and-water-in-northeast-india-study-finds/</link>
		
		<dc:creator><![CDATA[Violet Maxwell]]></dc:creator>
		<pubDate>Wed, 14 Oct 2026 12:04:41 +0000</pubDate>
				<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[cadmium]]></category>
		<category><![CDATA[carcinogenic risk]]></category>
		<category><![CDATA[chemical analysis of leachate]]></category>
		<category><![CDATA[environmental assessment of waste management facilities]]></category>
		<category><![CDATA[environmental pollution]]></category>
		<category><![CDATA[environmental risks of unmanaged landfill leachate]]></category>
		<category><![CDATA[health implications of contaminated water sources]]></category>
		<category><![CDATA[health risk assessment]]></category>
		<category><![CDATA[heavy metals]]></category>
		<category><![CDATA[heavy metals in landfill leachate]]></category>
		<category><![CDATA[impact of municipal waste on water quality]]></category>
		<category><![CDATA[landfill leachate]]></category>
		<category><![CDATA[landfill leachate contamination]]></category>
		<category><![CDATA[Manipur]]></category>
		<category><![CDATA[municipal solid waste]]></category>
		<category><![CDATA[Northeast India]]></category>
		<category><![CDATA[pollution monitoring in landfill sites]]></category>
		<category><![CDATA[pollution of farmland and fisheries by landfill leachate]]></category>
		<category><![CDATA[soil and water pollution in Northeast India]]></category>
		<category><![CDATA[soil pollution from waste leachate]]></category>
		<category><![CDATA[soil salinity]]></category>
		<category><![CDATA[surface water contamination]]></category>
		<category><![CDATA[sustainable waste management challenges]]></category>
		<category><![CDATA[Water Quality Index]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=270835</guid>

					<description><![CDATA[A new study of the Lamdeng landfill in Manipur, Northeast India, finds that leachate infiltration has rendered nearby surface water unsuitable for drinking, salinized agricultural soils, and produced cadmium-related carcinogenic risks above accepted thresholds for local residents.]]></description>
										<content:encoded><![CDATA[<p>In the rolling hills outside Imphal, the capital of the northeastern Indian state of Manipur, a municipal waste facility meant to solve one environmental problem may be quietly creating several others. A new study from researchers at Manipur University, published in Environmental Science and Pollution Research, reports that leachate—the dark, chemically rich liquid that forms when rainwater percolates through decomposing garbage—is degrading both soil and surface water quality around the Lamdeng Municipal Solid Waste Management Plant. The work, led by Ningombam Sharda Devi and Maibam Dhanaraj Meitei, is being described by the authors as a pioneering assessment of the facility&#8217;s environmental footprint, and its findings paint a sobering picture of how unmanaged waste infrastructure can ripple outward into farmland, fisheries, and drinking water supplies.</p>
<p>The research team spent 2022 and 2023 systematically sampling leachate, soil, and surface water in and around the Lamdeng site. Their analytical approach combined standard physicochemical characterization—measuring electrical conductivity, total dissolved solids, turbidity, dissolved oxygen, alkalinity, total hardness, and major ions such as calcium, magnesium, sodium, nitrate, and phosphate—with targeted quantification of four heavy metals: iron, copper, zinc, and cadmium. This dual strategy matters because physicochemical parameters reveal the overall stress imposed on an aquatic system, while heavy metal concentrations point to specific toxicological hazards that can accumulate in crops, fish, and ultimately human tissue. By tracking the same suite of variables across leachate, soil, and water, the researchers could trace the chemical signature of the landfill as it migrated into the surrounding environment.</p>
<p>The results for surface water were unambiguous. Nearly every key indicator—electrical conductivity, total dissolved solids, turbidity, dissolved oxygen, alkalinity, total hardness, calcium, magnesium, sodium, nitrate, and phosphate—registered values beyond the thresholds set by the World Health Organization for safe drinking water. Elevated electrical conductivity and dissolved solids signal a heavy load of ionized contaminants; depressed dissolved oxygen points to organic enrichment that can suffocate aquatic life; and excess nitrate and phosphate indicate nutrient loading capable of triggering algal blooms and eutrophication. Together, these deviations describe a water body under sustained chemical assault, consistent with leachate infiltration from an inadequately contained waste site.</p>
<p>To translate these measurements into a form that regulators and residents can act on, the team calculated a Water Quality Index, or WQI, a composite score that condenses multiple parameters into a single number. The values they obtained for surface waters near the facility ranged from 130.56 to 511.74—figures that fall squarely into the category deemed unsuitable for drinking. For context, a WQI below 100 is generally required for water to be considered acceptable for human consumption, and scores climb as contamination worsens. The upper end of the observed range, exceeding 500, represents water so degraded that direct use would pose serious health concerns. That such readings occur in a region where communities depend on streams and ponds for daily needs makes the numbers more than an academic abstraction.</p>
<p>The soil story is equally consequential, particularly for agriculture. The study found that crops cultivated in fields near the facility are being exposed to high levels of electrical conductivity, total dissolved solids, salinity, and magnesium ions. Salinity stress is a well-documented constraint on crop physiology: excess dissolved salts interfere with a plant&#8217;s ability to take up water through its roots, a phenomenon known as osmotic stress, while specific ions such as sodium and magnesium can disrupt nutrient balance, impair enzyme function, and damage root architecture. Research on rice and other staple crops has shown that salt-affected soils reduce germination, stunt growth, and lower yields, and prolonged exposure can permanently alter soil structure and microbial communities. In Manipur, where smallholder farming is central to local livelihoods, the slow salinization of fields adjacent to a waste facility represents a threat to both food security and income.</p>
<p>Heavy metals add a more insidious dimension. The researchers quantified iron, copper, zinc, and cadmium in leachate, soil, and surface water, and then used those concentrations to estimate human health risks for local residents. Cadmium emerged as the element of greatest concern. This transition metal, which enters leachate from discarded batteries, electronics, plastics, and pigments, is notorious for its persistence in soils and its capacity to accumulate in the kidneys and bones of exposed individuals. It is also classified as a human carcinogen. Unlike organic pollutants that may degrade over time, cadmium binds to soil particles and can be taken up by crops, entering the food chain in a form that the human body excretes only very slowly.</p>
<p>The formal health risk assessment quantified the carcinogenic risk from cadmium exposure at 1.77 × 10⁻⁶ for adults and 7.08 × 10⁻⁶ for children. In plain terms, these figures exceed the widely used benchmark of one additional cancer case per one million people, which the study describes as indicating an acceptable carcinogenic risk level. Notably, the estimated risk for children is roughly four times that for adults, a pattern that reflects children&#8217;s higher relative intake of water and food per unit of body weight, as well as their developing physiology. Risk assessments of this kind do not predict individual cancer cases; rather, they estimate the statistical probability of excess cancer incidence across an exposed population, providing a standardized basis for comparison against regulatory limits.</p>
<p>What makes the situation particularly troubling is the disconnect between the measured hazard and the community&#8217;s awareness. According to the study, local residents—largely oblivious to the contamination documented by the researchers—continue to practice agriculture and fishing in the affected areas, harvest wild edible plants, and rely on surface water from the surroundings of the waste management facility. This pattern is common in many developing regions, where environmental monitoring is sparse and the invisible nature of chemical contamination allows daily routines to continue unchanged even as exposure accumulates. Wild edibles and fish are especially effective vectors for metal uptake, since aquatic organisms and plants can bioaccumulate cadmium and other metals to concentrations far exceeding those in the water or soil itself.</p>
<p>The Lamdeng findings sit within a broader and rapidly growing global problem. Municipal solid waste generation is rising across Asia and Africa faster than treatment infrastructure can keep pace, and landfills without engineered liners and leachate collection systems are the norm rather than the exception in many cities. When leachate escapes containment, it migrates through soil as a contaminant plume, following groundwater flow paths and discharging into streams and wetlands. Manipur&#8217;s landscape, dotted with ecologically significant wetlands including the Ramsar-listed Loktak Lake, heightens the stakes: contaminated surface flows from sites like Lamdeng can travel considerable distances and affect ecosystems of regional and international conservation value.</p>
<p>The study&#8217;s authors frame their work as a first step, and its implications point toward several practical interventions. Engineered leachate collection and treatment, impermeable liners, routine monitoring of soil and water around waste facilities, and public health communication to affected communities are all standard components of modern landfill management that appear to be lacking or insufficient at Lamdeng. The research also underscores the value of tools like the Water Quality Index and formal risk assessment for making contamination legible to policymakers. Without such measurements, the slow chemical erosion of soil and water around a waste site proceeds silently, borne by farmers, fishers, and children who have no way of seeing what is dissolved in the water they drink. The Manipur team&#8217;s work brings that hidden burden into the open, offering both a warning and a baseline against which future remediation efforts can be judged.</p>
<p><strong>Subject of Research:</strong> Landfill leachate contamination of soil and surface water quality and associated human health risks near a municipal solid waste site in Manipur, Northeast India</p>
<p><strong>Article Title:</strong> Evaluation of the effect of landfill leachate on soil and surface water quality: a case study of the Lamdeng landfill site, Manipur, Northeast India</p>
<p><strong>Article References:</strong> Devi, N. S., Meitei, M. D., Meitei, K. S., Rabina, P., &amp; Shaiza, C. (2026). Evaluation of the effect of landfill leachate on soil and surface water quality: a case study of the Lamdeng landfill site, Manipur, Northeast India. <em>Environmental Science and Pollution Research</em>. <a href="https://doi.org/10.1007/s11356-026-38200-1" rel="noopener noreferrer">https://doi.org/10.1007/s11356-026-38200-1</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s11356-026-38200-1" rel="noopener noreferrer">10.1007/s11356-026-38200-1</a></p>
<p><strong>Keywords:</strong> landfill leachate, municipal solid waste, water quality index, heavy metals, cadmium, soil salinity, surface water contamination, health risk assessment, Manipur, Northeast India, carcinogenic risk, environmental pollution</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">270835</post-id>	</item>
		<item>
		<title>Toxic Metals Lurk in Ghana&#8217;s Greater Amanzule Wetlands, Testing the Safety of Local Seafood</title>
		<link>https://scienmag.com/toxic-metals-lurk-in-ghanas-greater-amanzule-wetlands-testing-the-safety-of-local-seafood/</link>
		
		<dc:creator><![CDATA[Russell Cooper]]></dc:creator>
		<pubDate>Wed, 14 Oct 2026 01:27:43 +0000</pubDate>
				<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[bioconcentration]]></category>
		<category><![CDATA[cadmium]]></category>
		<category><![CDATA[conservation challenges in Ghana's ecologically sensitive wetlands]]></category>
		<category><![CDATA[cross-national environmental research collaboration]]></category>
		<category><![CDATA[ecological significance]]></category>
		<category><![CDATA[effects of pollution on local fishing communities]]></category>
		<category><![CDATA[Environmental Monitoring]]></category>
		<category><![CDATA[environmental monitoring methodologies for coastal ecosystems]]></category>
		<category><![CDATA[environmental pollution assessment in mangrove and lagoon habitats]]></category>
		<category><![CDATA[Ghana]]></category>
		<category><![CDATA[Greater Amanzule Wetland]]></category>
		<category><![CDATA[health risk assessment]]></category>
		<category><![CDATA[Heavy metal contamination in Ghana's Greater Amanzule Wetlands]]></category>
		<category><![CDATA[heavy metals]]></category>
		<category><![CDATA[heavy metals in aquatic food chains]]></category>
		<category><![CDATA[human health risk analysis from toxic metals in seafood]]></category>
		<category><![CDATA[impact of industrial and agricultural runoff on coastal wetlands]]></category>
		<category><![CDATA[lead]]></category>
		<category><![CDATA[mercury]]></category>
		<category><![CDATA[seafood safety]]></category>
		<category><![CDATA[seafood safety testing in West African coastal ecosystems]]></category>
		<category><![CDATA[seafood safety thresholds and public health implications]]></category>
		<category><![CDATA[water contamination]]></category>
		<category><![CDATA[wetland conservation]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=269591</guid>

					<description><![CDATA[A new study of Ghana's Greater Amanzule Wetland finds widespread heavy metal contamination in the water, though seafood metal levels remain below immediate health-risk thresholds.]]></description>
										<content:encoded><![CDATA[<p>Deep in southwestern Ghana, where the Greater Amanzule Wetland threads its way through mangrove forests, lagoons, and fishing villages along the Atlantic coast, scientists have been quietly taking the pulse of one of West Africa&#8217;s most ecologically valuable coastal ecosystems. What they found is a story of contamination that is both reassuring and alarming at the same time. A new study published in Environmental Monitoring and Assessment reports widespread heavy metal pollution in the wetland&#8217;s waters, yet the levels of toxic metals in the seafood that local communities depend on remain below thresholds that would signal immediate harm to human health. The tension between those two findings is precisely what makes the research so important.</p>
<p>The research team, led by Francis Adarkwah of the Institute of Environment and Sanitation Studies at the University of Ghana, together with colleagues from institutions in Ghana, the Czech Republic, and beyond, set out to answer a deceptively simple question: how contaminated is the water in the Greater Amanzule Wetland, and does that contamination find its way into the fish and shrimp that people eat? To do this, they collected 126 water samples from communities across the wetland during three separate sampling periods in 2024, analysing each for six metals of concern: cadmium, copper, arsenic, lead, nickel, and mercury. They also gathered 36 samples of seafood, including Bagrid catfish (Chrysichthys nigrodigitatus), black-chinned tilapia (Sarotherodon melanotheron), and black tiger shrimp (Penaeus monodon), testing them for cadmium, lead, and mercury.</p>
<p>The results paint a detailed picture of a wetland under pressure. Across most of the sampling communities, the researchers detected heavy metal contamination, with the average concentrations of the six metals in the water following a consistent pattern: arsenic was the least abundant, followed by mercury, cadmium, lead, nickel, and finally copper, which was the most prevalent. That ordering matters, because copper and nickel, while less notorious than lead or mercury, can still exert toxic effects on aquatic organisms and human health when concentrations climb high enough. The fact that copper topped the list suggests that sources such as domestic waste, small-scale industry, and agricultural runoff may be playing a significant role in shaping the wetland&#8217;s chemistry.</p>
<p>To move beyond simple concentration measurements, the team deployed a battery of analytical tools that are standard in environmental monitoring but rarely combined in a single study of a West African wetland. The heavy metal pollution index and the heavy metal evaluation index are composite metrics that translate raw concentration data into a single score reflecting how contaminated a water body is relative to guideline values. Principal component analysis, a statistical technique that identifies hidden patterns in complex datasets, was used to trace which metals varied together and therefore likely shared common sources. And the bioconcentration factor measured how efficiently metals moved from the water into the tissues of fish and shrimp, a key step in understanding how contamination travels through the food web.</p>
<p>The pollution indices revealed a striking gradient across the wetland. In some communities, contamination was moderate, while in others it reached very high levels, indicating that the problem is not uniform but concentrated in specific, impacted locations. The principal component analysis added a crucial layer of interpretation: copper, nickel, lead, cadmium, arsenic, and mercury all contributed substantially to the variation in water quality across sites. This pattern points to a mixture of anthropogenic influences, meaning human activities such as waste discharge and land-use change, and geochemical influences, meaning the natural release of metals from underlying rocks and soils. In other words, the wetland&#8217;s contamination story is not one single villain but a cast of interacting sources.</p>
<p>The bioconcentration findings and the seafood analysis then allowed the team to ask the question that matters most to the people who live around the wetland: is it safe to eat what you catch? Using the estimated daily intake approach, the researchers calculated how much of each metal a typical consumer would ingest through a diet of local catfish, tilapia, and shrimp. They then compared those intakes against reference doses, the toxicological benchmarks that define how much of a substance can be consumed daily over a lifetime without appreciable risk. Every estimated daily intake value fell below its corresponding reference dose.</p>
<p>The team went further, computing the hazard quotient for each metal and the hazard index, which sums the individual quotients to capture the combined effect of exposure to multiple metals. In every case, the values came in below unity, the threshold beyond which non-carcinogenic health effects would be expected. Under the exposure conditions evaluated in the study, the researchers found no immediate non-carcinogenic health risk from eating seafood drawn from the Greater Amanzule Wetland. For fishing families whose livelihoods and nutrition depend on the daily catch, that conclusion offers genuine reassurance, at least for now.</p>
<p>Yet the researchers are careful not to let that reassurance become complacency. The persistent occurrence of toxic metals, including lead, cadmium, and mercury, in both the water and the seafood signals potential ecological and public health concerns that cannot be dismissed. Lead exposure, even at low levels, is associated with neurodevelopmental harm, while cadmium accumulates in the kidneys over years of chronic exposure and mercury is a potent neurotoxin, particularly dangerous to developing foetuses and young children. The hazard index framework used in this study captures non-carcinogenic risks under current exposure conditions, but it does not eliminate the possibility of longer-term, chronic effects, especially if contamination continues to rise or if consumption patterns change.</p>
<p>The study&#8217;s recommendations reflect that caution. The authors call for integrated wetland management strategies that treat the Greater Amanzule as a single connected ecosystem rather than a patchwork of separate communities. They urge strengthened regulation of pollution sources, arguing that the mixed anthropogenic signature identified by the principal component analysis demands attention to the human activities driving contamination. They also recommend routine monitoring of heavy metal levels in aquatic ecosystems, so that trends can be detected before they become crises, and increased community awareness about sustainable seafood consumption, empowering residents to make informed choices about the fish and shrimp they eat.</p>
<p>Looking ahead, the researchers identify two critical gaps in the current picture. First, the study focused on water and seafood, but sediments, the muddy floors of lagoons and channels where metals tend to accumulate over time, were not assessed. Because sediments can act as both sinks and secondary sources of contamination, releasing stored metals back into the water under changing chemical conditions, future work that includes sediment analysis will be essential for understanding the full contaminant dynamics of the wetland. Second, the study captured a snapshot in time during 2024, whereas chronic health implications unfold over years and decades. Long-term monitoring studies will be needed to determine whether the contamination documented today is stable, worsening, or improving, and whether the communities that depend on the Greater Amanzule Wetland face accumulating risks that today&#8217;s hazard indices cannot yet reveal. For now, the wetland&#8217;s waters carry a warning that is quiet but unmistakable: the metals are there, the ecosystem is under strain, and the time to act is before the numbers cross the line.</p>
<p><strong>Subject of Research:</strong> Heavy metal contamination of water and seafood in the Greater Amanzule Wetland in southwestern Ghana and its ecological and human health risks</p>
<p><strong>Article Title:</strong> Heavy metal contamination in the Greater Amanzule Wetlands: a public health concern and a threat to seafood provision</p>
<p><strong>Article References:</strong> Adarkwah, F., Odoom, E. S., Afful, R., Baidoo, E. K., Awuni, S., &amp; Mattah, M. M. (2026). Heavy metal contamination in the Greater Amanzule Wetlands: a public health concern and a threat to seafood provision. <em>Environmental Monitoring and Assessment, 198</em>(10), Article 1044. <a href="https://doi.org/10.1007/s10661-026-15855-4" rel="noopener noreferrer">https://doi.org/10.1007/s10661-026-15855-4</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s10661-026-15855-4" rel="noopener noreferrer">10.1007/s10661-026-15855-4</a></p>
<p><strong>Keywords:</strong> Greater Amanzule Wetland, Ghana, heavy metals, water contamination, seafood safety, cadmium, lead, mercury, health risk assessment, wetland conservation, bioconcentration, environmental monitoring</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">269591</post-id>	</item>
		<item>
		<title>Plastic Tea Bags Shed Thousands of Microplastic Particles Into Every Cup, Study Finds</title>
		<link>https://scienmag.com/plastic-tea-bags-shed-thousands-of-microplastic-particles-into-every-cup-study-finds/</link>
		
		<dc:creator><![CDATA[Alan Morgan]]></dc:creator>
		<pubDate>Tue, 13 Oct 2026 20:33:30 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[ATR-FTIR]]></category>
		<category><![CDATA[bisphenol A]]></category>
		<category><![CDATA[bisphenol A and phthalate esters in tea]]></category>
		<category><![CDATA[bulk tea]]></category>
		<category><![CDATA[chemical migration]]></category>
		<category><![CDATA[chemical migration from plastic tea bags]]></category>
		<category><![CDATA[comparison of bagged versus loose-leaf tea safety]]></category>
		<category><![CDATA[effects of high-temperature brewing on plastic leaching]]></category>
		<category><![CDATA[environmental and health risks of microplastics in tea]]></category>
		<category><![CDATA[food safety]]></category>
		<category><![CDATA[food-contact packaging]]></category>
		<category><![CDATA[food-contact plastics and microplastic pollution]]></category>
		<category><![CDATA[GC-MS/MS]]></category>
		<category><![CDATA[health risk assessment]]></category>
		<category><![CDATA[impact of plastic debris in beverages]]></category>
		<category><![CDATA[Microplastic contamination in tea]]></category>
		<category><![CDATA[microplastics]]></category>
		<category><![CDATA[peer-reviewed study on microplastics in food]]></category>
		<category><![CDATA[phthalate esters]]></category>
		<category><![CDATA[plastic tea bags and microplastics release]]></category>
		<category><![CDATA[polyamide]]></category>
		<category><![CDATA[public health implications of plastic tea bags]]></category>
		<category><![CDATA[tea bags]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=269003</guid>

					<description><![CDATA[A new study in npj Science of Food finds that plastic tea bags release up to 2,498 microplastic particles per cup along with measurable bisphenol A, while bulk tea releases only a fraction of that contamination.]]></description>
										<content:encoded><![CDATA[<p>A single cup of tea brewed in a plastic tea bag can contain thousands of microplastic particles, while tea brewed from loose leaves carries only a tiny fraction of that load, according to a new peer-reviewed study published in npj Science of Food. Researchers Necla Pehlivan and Kenan Gedik of Recep Tayyip Erdogan University in Türkiye set out to answer a deceptively simple question: when we steep tea at near-boiling temperatures, how much plastic debris and how many plastic-associated chemicals end up in the cup? Their findings, published on 13 October 2026, suggest that polymeric tea bags act as active sources of contamination rather than passive containers, releasing both microscopic fragments and chemical migrants such as bisphenol A and phthalate esters into the infusion. The work arrives at a moment of growing public scrutiny of food-contact plastics, and it offers one of the most direct comparisons to date between bagged and bulk tea under realistic brewing conditions.</p>
<p>The experimental design was straightforward but rigorous. The team purchased 14 brands of bagged tea and 14 brands of bulk, or loose-leaf, tea and prepared infusions under a controlled brewing simulation designed to mimic everyday practice: water at 95 degrees Celsius, steeped for three minutes. That temperature matters, because hot water accelerates both the physical breakdown of polymer surfaces and the diffusion of small molecules out of plastic matrices. After brewing, the researchers isolated and counted microplastic particles in each infusion and identified their polymer types using attenuated total reflectance Fourier-transform infrared spectroscopy, or ATR-FTIR, a technique that reads the characteristic vibrational fingerprint of a polymer. In parallel, they quantified leached bisphenol A and phthalate esters, two widely studied classes of plastic-related chemicals, using tandem gas chromatography mass spectrometry, a highly sensitive method capable of detecting trace organic contaminants in complex matrices such as tea.</p>
<p>The headline result is stark. Plastic tea bags released between 555 and 2,498 microplastic particles per cup, whereas bulk tea infusions contained between 0.3 and 2.4 particles per cup. In other words, the bag itself, not the tea leaves, was overwhelmingly the dominant source of plastic debris. The difference spans roughly three orders of magnitude, which means a consumer switching from bagged to bulk tea would reduce their microplastic exposure from tea by a factor of hundreds to thousands. The authors describe polymeric tea bags as dynamic vectors for micro-particle shedding and chemical leaching, a framing that positions the bag not as a neutral filter holding leaves but as an actively degrading polymer object immersed in near-boiling water.</p>
<p>Just as revealing as the quantities was the identity of the particles. In the bagged tea infusions, debris larger than 100 micrometers consisted exclusively of polyamide fibers, a polymer commonly used in the woven or nonwoven mesh of so-called plastic tea bags, which are often marketed as premium pyramid-style sachets. The researchers interpret this uniform polyamide signature as evidence of hydrolytic degradation of the bag material itself: hot water breaks the chemical bonds of the polymer chain, weakening the mesh until fibers and fragments detach into the infusion. Bulk tea told a different story. Its particle population was heterogeneous, containing polyethylene, polypropylene, polyethylene terephthalate, and polyamide, and was dominated by fragments rather than fibers, at roughly 70 to 80 percent of the total. That mixed profile points to background contamination of the tea itself, picked up during environmental exposure, harvesting, processing, or industrial handling, rather than a single identifiable source.</p>
<p>The chemical migration results add a second dimension to the exposure picture. Alongside the physical particles, the team measured bisphenol A, an industrial chemical used in some polycarbonate plastics and epoxy resins, and phthalate esters, a family of plasticizers added to soften polymers. Both classes of compounds are of regulatory interest because they can interact with endocrine systems, and both can migrate from food-contact materials into hot, aqueous foods. Tea is a particularly effective extraction medium in this respect: it is brewed hot, often near the maximum temperature food packaging experiences in use, and steeped for minutes at a time. The study quantified these migrants in infusions from both bagged and bulk products and then fed the measured concentrations into standard health risk models to estimate what the exposures mean for consumers.</p>
<p>On the risk side, the picture is nuanced rather than alarming. The researchers calculated cumulative Hazard Index values, a toxicological tool that sums the contributions of multiple substances relative to their respective safety thresholds, and found that the values remained below 1, the conventional threshold below which no adverse effects are expected. In plain terms, the estimated combined exposure to microplastics, bisphenol A, and phthalate esters from a cup of tea did not exceed established safety limits. However, the authors highlight a figure that gives the result real weight: bisphenol A intake from bagged tea reached 21.7 percent of the tolerable daily intake set by the European Food Safety Authority. That means a single daily habit, drinking bagged tea, can account for roughly a fifth of the amount of BPA that regulators consider acceptable per day, before any other dietary sources are counted.</p>
<p>That 21.7 percent figure is likely to resonate widely, because tea is one of the most consumed beverages on Earth and bagged formats dominate many markets. EFSA&#8217;s tolerable daily intake for bisphenol A was dramatically lowered in recent years following reassessments of the chemical&#8217;s immunological and developmental effects, which means that even modest contributions from individual food sources now occupy a larger share of the allowable budget. A consumer who drinks several cups of bagged tea a day, or who combines that habit with canned foods, thermal paper receipts, or other BPA sources, could approach or exceed the threshold through ordinary dietary choices. The study does not claim that drinking bagged tea is dangerous at observed exposure levels, but it does demonstrate that the bag is a meaningful and previously underappreciated contributor to total chemical intake.</p>
<p>The microplastic findings carry their own scientific significance, even though the health effects of ingested microplastics remain an area of active research and unresolved uncertainty. Particles in the size range released by tea bags can be ingested, and smaller fragments may cross biological barriers, though the toxicology at realistic exposure levels is still being mapped out. What this study contributes is a clean source attribution: by comparing bagged and bulk tea under identical brewing conditions, the authors isolated the bag itself as the dominant particle source, ruling out the leaves, the water, and the brewing vessel as major contributors. The exclusive polyamide signature of the larger bag-derived debris provides a mechanistic link between material choice and contamination, and it suggests that manufacturers could reduce shedding by reformulating bag materials or reinforcing them against hydrolytic degradation.</p>
<p>The authors draw two practical conclusions from their data. First, they support a shift toward bulk tea consumption, since loose-leaf tea delivered microplastic exposures three orders of magnitude lower and correspondingly smaller chemical burdens. For consumers who prefer the convenience of bags, the findings underscore that the material of the bag matters, and that polymeric mesh bags in particular behave as degrading polymers in boiling water. Second, the researchers call for stricter regulatory oversight of food-contact packaging materials, arguing that the combined particulate and chemical release documented here justifies closer scrutiny of polymeric food packaging under realistic use conditions. As global tea consumption continues to rise, the study reframes an everyday ritual as a measurable exposure pathway, and it adds tea bags to the growing list of food-contact plastics whose behavior in hot water deserves systematic evaluation.</p>
<p><strong>Subject of Research:</strong> Microplastic release and chemical migration from plastic tea bags compared with bulk tea</p>
<p><strong>Article Title:</strong> Microplastic release from plastic tea bags versus bulk tea and migration of bisphenol A and plasticizer esters</p>
<p><strong>Article References:</strong> Pehlivan, N., &amp; Gedik, K. (2026). Microplastic release from plastic tea bags versus bulk tea and migration of bisphenol A and plasticizer esters. <em>npj Science of Food</em>. <a href="https://doi.org/10.1038/s41538-026-01175-x" rel="noopener noreferrer">https://doi.org/10.1038/s41538-026-01175-x</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1038/s41538-026-01175-x" rel="noopener noreferrer">10.1038/s41538-026-01175-x</a></p>
<p><strong>Keywords:</strong> microplastics, tea bags, bisphenol A, phthalate esters, polyamide, food-contact packaging, chemical migration, bulk tea, health risk assessment, ATR-FTIR, GC-MS/MS, food safety</p>
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		<title>Cadmium and Lead Push a Kerala River Beyond Safe Drinking Limits</title>
		<link>https://scienmag.com/cadmium-and-lead-push-a-kerala-river-beyond-safe-drinking-limits/</link>
		
		<dc:creator><![CDATA[Violet Maxwell]]></dc:creator>
		<pubDate>Tue, 13 Oct 2026 19:14:38 +0000</pubDate>
				<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[bioremediation]]></category>
		<category><![CDATA[cadmium and lead contamination in Kerala]]></category>
		<category><![CDATA[cadmium contamination]]></category>
		<category><![CDATA[carcinogenic risk]]></category>
		<category><![CDATA[Chaliyar river]]></category>
		<category><![CDATA[Chaliyar river pollution study]]></category>
		<category><![CDATA[ecological risk assessment]]></category>
		<category><![CDATA[ecological risks of industrial pollutants]]></category>
		<category><![CDATA[environmental risk assessment of river systems]]></category>
		<category><![CDATA[geoaccumulation index]]></category>
		<category><![CDATA[health risk assessment]]></category>
		<category><![CDATA[heavy metal contamination in riverbank soils]]></category>
		<category><![CDATA[heavy metal pollution]]></category>
		<category><![CDATA[human health risk from polluted water]]></category>
		<category><![CDATA[industrial discharge impact on water quality]]></category>
		<category><![CDATA[Kerala]]></category>
		<category><![CDATA[lead contamination]]></category>
		<category><![CDATA[long-term effects of industrial pollution on rivers]]></category>
		<category><![CDATA[post-industrial water pollution analysis]]></category>
		<category><![CDATA[river pollution]]></category>
		<category><![CDATA[riverbank soil]]></category>
		<category><![CDATA[toxic heavy metals in Indian rivers]]></category>
		<category><![CDATA[water quality]]></category>
		<category><![CDATA[water safety standards for heavy metals]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=268811</guid>

					<description><![CDATA[A new study of Kerala's Chaliyar river finds lead and cadmium concentrations far above drinking water standards, with ingestion posing significant carcinogenic and non-carcinogenic risks to riverside communities.]]></description>
										<content:encoded><![CDATA[<p>A river in the southern Indian state of Kerala that was once so polluted by industrial discharges that local factories were shut down is still carrying a heavy load of toxic metals, according to a new open-access study published in Discover Geoscience. Researchers led by N. P. Chandni and Sushmitha Baskar of Indira Gandhi National Open University, working with colleagues at the DRDO Industry Academia Centre of Excellence at Bharathiar University, assessed surface water and riverbank soils from thirteen sites along the downstream stretch of the Chaliyar river in Kozhikode district. Their integrated analysis, combining pollution indices, ecological and biological risk metrics, and human health exposure modelling, paints a detailed picture of a river system in which cadmium and lead concentrations far exceed drinking water standards, even decades after the major industrial sources were closed.</p>
<p>The Chaliyar flows through the districts of Wayanad, Malappuram and Kozhikode before draining into the Arabian Sea, and its lower reaches pass through urbanised and industrially influenced terrain. The team sampled thirteen sites spanning upstream, midstream and downstream reaches, covering roughly 27 kilometres of river, during the post-monsoon season in February 2023. Water was collected in sterile polyethylene bottles and soils in airtight bags, transported at 4 degrees Celsius, and digested with reverse aqua regia before analysis by inductively coupled plasma optical emission spectrometry. Quality control was rigorous: calibration curves showed correlation coefficients of 0.99, spike recoveries fell between 92 and 105 percent, and every sample was analysed in triplicate. Seven metals were targeted: arsenic, cadmium, chromium, copper, nickel, lead and zinc.</p>
<p>The headline finding concerns lead and cadmium in the water column. Lead concentrations ranged from 1.75 to 1.93 milligrams per litre, roughly one hundred times the Indian drinking water limit of 0.01 milligrams per litre, while cadmium measured between 0.05 and 0.1 milligrams per litre against a permissible limit of just 0.003. Arsenic exceeded permissible limits at every sampling transect, and zinc at two sites was more than twice the acceptable drinking water standard. Yet when the same waters were judged against irrigation criteria, only lead remained within bounds, with a baseline of 5 milligrams per litre. The practical implication is stark: the water is unsuitable for drinking but still usable for irrigation, a distinction the authors quantify through the Heavy Metal Evaluation Index, which scored between 202.94 and 241.13 against drinking standards, placing all samples in the high pollution category, but only 10.95 to 21.93 against irrigation standards, indicating low pollution for that use.</p>
<p>The riverbank soils told a more nuanced story. Lead concentrations of 30 to 59 milligrams per kilogram exceeded the average shale baseline of 20, and cadmium exceeded its 0.3 milligram per kilogram baseline at every location, with a mean of 0.654. Zinc surpassed its baseline at three sites. The geoaccumulation index, which compares measured concentrations against background values while correcting for natural lithogenic variation, placed most metals in the unpolluted class, but cadmium reached the moderately polluted category at sites 7, 12 and 13, with index values ranging from 0.152 to 1.152 across the study area. Contamination factors reinforced the pattern: cadmium registered considerable contamination at those same three sites, lead showed moderate contamination everywhere, and arsenic, chromium, copper and nickel remained in the low contamination range throughout.</p>
<p>Cadmium emerged as the dominant ecological threat. The Ecological Risk Index, which weights contamination factors by metal-specific toxic response factors, ranged from 60.17 to 124.47 across locations, a mild risk status overall, but the individual contribution of cadmium reached the high-risk category at four sites. The authors attribute this to a combination of wastewater discharge, small-scale industrial activity and agricultural runoff, with possible geogenic contributions from the region&#8217;s charnockite, granite gneiss and quartzite geology, which naturally host trace levels of these elements. Biological risk, assessed with the mean effect range median quotient, was less alarming: 61.5 percent of soil samples fell into the slightly toxic category and the rest were non-toxic, with nickel rather than cadmium acting as the dominant contributor to that particular metric.</p>
<p>The human health assessment is where the findings become most consequential. Using standard exposure equations with a 70-kilogram adult, a 2.2 litre per day water ingestion rate and a 70-year exposure duration, the team calculated hazard indices for ingestion and dermal pathways. For surface water, ingestion hazard indices ranged from 22.5 to 31.4, far above the threshold value of 1 that marks acceptable non-carcinogenic risk, with lead the single largest contributor at hazard index values of 15.7 to 17.4. Dermal hazard indices for water ranged from 3.49 to 5.07, also above 1 but substantially lower. In contrast, the riverbank soils posed negligible non-carcinogenic risk, with all hazard indices orders of magnitude below 1 for both pathways.</p>
<p>Carcinogenic risk calculations for arsenic, chromium and lead revealed a more troubling picture. For chromium and lead in surface water, ingestion-based cancer risks exceeded the 10 to the minus 4 upper bound of the acceptable range at every location, with chromium values reaching 7.07 times 10 to the minus 3, meaning a potential cancer incidence approaching seven cases per thousand exposed individuals under the study&#8217;s assumptions. Dermal risks were lower but still elevated for chromium. In soils, ingestion risks for chromium reached 4.11 times 10 to the minus 5, within the acceptable band, while dermal soil risks were negligible. The consistent pattern, that ingestion dominates over skin contact as the exposure route of concern, aligns with findings from other Indian river systems such as the Gomti and with international studies, and it matters practically because the downstream Chaliyar supports active fishing communities whose residents depend on the river daily.</p>
<p>To translate contamination into actionable numbers, the researchers applied a heavy metal toxicity load model that estimates the percentage of each metal that would need to be removed to bring concentrations back to baseline. For surface water judged against drinking standards, lead required a modelled 99 percent removal at every site, while cadmium needed 80 to 90 percent removal. In soils, cadmium required 40 to 70 percent removal and lead 33 to 65 percent. The authors point to bioremediation as a promising strategy, citing prior work on a cadmium-resistant Klebsiella planticola strain that precipitates cadmium sulfide, alongside options such as phytoremediation, biochar amendment and clay mineral immobilisation.</p>
<p>Statistical source apportionment added spatial texture to the picture. Principal component analysis of the water data, with two components explaining 61.81 percent of variance, linked arsenic, copper and nickel to a widespread anthropogenic factor consistent with urban wastewater, agricultural runoff and industrial activity, while cadmium and zinc loaded on a separate component suggesting a partly geogenic zinc source. For soils, two components explained 82.47 percent of variance, with lead and chromium dominating the first factor, pointing to mixed natural and human origins. Hierarchical cluster analysis grouped upstream, midstream and downstream water sites into distinct clusters reflecting their metal profiles, whereas soil clusters mixed locations from different reaches, indicating heterogeneous bank contamination.</p>
<p>The authors are candid about limitations: the study relies on a single post-monsoon sampling campaign, so seasonal variability, which monsoon dynamics can strongly influence, remains unquantified, and thirteen sites confined to the Kozhikode stretch cannot represent the entire basin. Nevertheless, the work establishes a valuable baseline and a set of management priorities, from hotspot identification and source control through stricter effluent regulation and improved waste management, to long-term monitoring, riverbank vegetation restoration and the development of local geochemical background values. For a river whose industrial polluters were closed in the late 1990s, the persistence of cadmium and lead at levels that threaten both ecosystems and human health is a sobering reminder that shutting a factory does not clean a river; legacy contamination, changing land use, sand mining and diffuse runoff continue to shape the water that flows to the Arabian Sea.</p>
<p><strong>Subject of Research:</strong> Trace metal contamination and associated ecological and human health risks in the surface water and riverbank soils of the Chaliyar river basin, Kerala, India</p>
<p><strong>Article Title:</strong> Assessment of trace metal contamination and associated health risks in the Chaliyar river basin, Kerala</p>
<p><strong>Article References:</strong> Chandni, N. P., Baskar, S., Subramanian, A., &amp; Kadirvelu, K. (2026). Assessment of trace metal contamination and associated health risks in the Chaliyar river basin, Kerala. <em>Discover Geoscience, 4</em>(1), Article 400. <a href="https://doi.org/10.1007/s44288-026-00769-y" rel="noopener noreferrer">https://doi.org/10.1007/s44288-026-00769-y</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44288-026-00769-y" rel="noopener noreferrer">10.1007/s44288-026-00769-y</a></p>
<p><strong>Keywords:</strong> heavy metal pollution, Chaliyar river, cadmium contamination, lead contamination, water quality, riverbank soil, ecological risk assessment, carcinogenic risk, health risk assessment, Kerala, geoaccumulation index, bioremediation</p>
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