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	<title>tailings &#8211; Science</title>
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	<title>tailings &#8211; Science</title>
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		<title>Phosphate Mining Leaves a Toxic Fingerprint in Soils Above a Famous Chinese Lake</title>
		<link>https://scienmag.com/phosphate-mining-leaves-a-toxic-fingerprint-in-soils-above-a-famous-chinese-lake/</link>
		
		<dc:creator><![CDATA[Sloane Callahan]]></dc:creator>
		<pubDate>Thu, 01 Oct 2026 02:55:58 +0000</pubDate>
				<category><![CDATA[Climate]]></category>
		<category><![CDATA[cadmium]]></category>
		<category><![CDATA[Dianchi Lake]]></category>
		<category><![CDATA[ecological risk index]]></category>
		<category><![CDATA[environmental geochemistry of mining areas]]></category>
		<category><![CDATA[geochemistry]]></category>
		<category><![CDATA[global implications of phosphate mining pollution]]></category>
		<category><![CDATA[impact of phosphate mining on Dianchi Lake]]></category>
		<category><![CDATA[land use]]></category>
		<category><![CDATA[land-use type influence on soil chemistry]]></category>
		<category><![CDATA[layered soil analysis in mining regions]]></category>
		<category><![CDATA[mercury]]></category>
		<category><![CDATA[mining region soil risk auditing]]></category>
		<category><![CDATA[phosphate mining]]></category>
		<category><![CDATA[Phosphate mining environmental impact]]></category>
		<category><![CDATA[potentially toxic elements]]></category>
		<category><![CDATA[soil contamination]]></category>
		<category><![CDATA[soil contamination from phosphate mining]]></category>
		<category><![CDATA[soil depth]]></category>
		<category><![CDATA[soil depth and contamination levels]]></category>
		<category><![CDATA[soil sampling and pollution assessment]]></category>
		<category><![CDATA[tailings]]></category>
		<category><![CDATA[tailings land phosphate residue]]></category>
		<category><![CDATA[toxic residues in Chinese lake soils]]></category>
		<category><![CDATA[Yunnan]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=220986</guid>

					<description><![CDATA[A depth-resolved survey of a phosphate-mining watershed upstream of Dianchi Lake shows that tailings soils are the dominant contamination hotspot, with cadmium and mercury driving moderate ecological risk in the upper 30 centimeters.]]></description>
										<content:encoded><![CDATA[<p>Beneath the terraced hillsides that feed Dianchi Lake, one of China&#8217;s most closely watched bodies of water, the soil is telling a story that surface inspections alone would miss. A new study of the Jinning phosphate-mining watershed in southwestern China has mapped, layer by layer, how decades of mining activity have reshaped the chemistry of the ground itself. The research, published in Environmental Geochemistry and Health, examined soils across five different land-use types and four depth intervals, revealing that the most serious contamination is concentrated in a single, identifiable zone: the tailings land where crushed phosphate ore residue accumulates. By treating soil depth as a central variable rather than an afterthought, the study offers a template for how mining regions around the world might audit their own buried risks.</p>
<p>The research team, led by Yanan Chen and Rui Liu of Yunnan University together with colleagues from the Yunnan Institute of Geo-Environment Monitoring and the University of Hong Kong, collected sixty composite soil samples from the watershed. The sampling design deliberately spanned the human geography of the landscape: tailings land, farmland, bare land, grassland, and natural forest. At each location, soils were drawn from four distinct layers, from the top ten centimeters down to ninety centimeters. This depth-resolved approach matters because many contamination surveys stop at the surface, potentially underestimating the total inventory of pollutants that could migrate downward toward groundwater or upward through plant roots. The seven elements measured were cadmium, chromium, copper, nickel, lead, zinc, and mercury, a roster that covers the most ecologically consequential heavy metals associated with phosphate extraction.</p>
<p>Phosphate ore is naturally laced with metals. When rock is mined, crushed, and processed, those impurities are liberated and concentrated in waste tailings, which can then be dispersed by wind and water. Cadmium is a particular concern in phosphate deposits worldwide, because it substitutes chemically for calcium in the mineral lattice and survives processing. The Jinning area, upstream of Dianchi Lake in Yunnan Province, has been shaped by phosphate extraction for years, and the lake itself has long suffered from nutrient pollution and algal blooms. What the new study adds is a quantitative picture of how the toxic metal burden is distributed not just across the landscape horizontally, but vertically through the soil profile, and how that distribution differs depending on what people have done with the land.</p>
<p>The headline finding is unambiguous. Tailings land emerged as the principal contamination hotspot of the entire watershed. In the surface layer of tailings-affected soils, cadmium reached an average concentration of 0.70 milligrams per kilogram, with a standard deviation of 0.35, while lead averaged 176.8 milligrams per kilogram, with a striking standard deviation of 130.0 that reflects the patchiness of deposition. The Nemerow comprehensive pollution index, a composite measure that emphasizes the worst pollutant at a site, registered 2.085 for tailings land, a value that signals substantial multi-element contamination. No other land-use type approached this level. Farmland, grassland, bare land, and natural forest carried comparatively lower burdens, though the study found that soil properties and metal concentrations varied meaningfully among all five categories.</p>
<p>Depth turned out to be as important as location. Across the watershed, soil organic matter, total nitrogen, available phosphorus, and available potassium generally declined with depth, while pH increased, a pattern consistent with the biological enrichment of topsoil by vegetation and agricultural management. The toxic metal risk followed a parallel vertical gradient in the most contaminated zone. The potential ecological risk index, a widely used metric developed by Lars Hakanson that weights each metal by its toxicity, fell from 184.52 in the top ten centimeters of tailings land to 110.34 in the sixty-to-ninety-centimeter layer. Notably, mean risk index values exceeded the threshold of 150, the boundary of moderate ecological risk, only in the upper thirty centimeters of soil. Below that, the risk declined, suggesting that the contamination is still largely a surface phenomenon rather than a fully penetrated profile.</p>
<p>Within the overall metal burden, two elements dominated the risk calculation. Cadmium and mercury contributed the largest shares of the potential ecological risk index, a reflection of their outsized toxicity coefficients relative to their measured concentrations. This is a critical nuance for remediation planning. An element like zinc might be present at elevated concentrations by mass, yet contribute comparatively little to ecological risk because it is far less toxic per unit. Cadmium, by contrast, is a cumulative poison that damages kidneys and bones in humans and disrupts soil organisms at low concentrations, and it is readily taken up by crops. Mercury, meanwhile, can be transformed by microbes into methylmercury, the form that bioaccumulates in aquatic food webs. A watershed that drains toward a major lake, as this one does toward Dianchi, makes that aquatic pathway particularly relevant.</p>
<p>The study deployed a battery of complementary assessment tools, each answering a slightly different question. The single-factor pollution index evaluates each element against a background or regulatory threshold, isolating which specific metals exceed safe levels. The Nemerow index then folds those individual scores into a single comprehensive value that is dominated by the worst offender. The geo-accumulation index compares measured concentrations to pre-industrial background values, providing a historical perspective on how much of the burden is anthropogenic. The enrichment ratio normalizes metal concentrations against a reference element to correct for natural variations in soil texture. Finally, the potential ecological risk index translates concentrations into a measure of harm potential. By triangulating across these methods, the researchers reduced the uncertainty that any single index can carry, and the convergence of their results on tailings land as the priority zone strengthens the case for targeted intervention.</p>
<p>The practical implications extend beyond the watershed itself. The authors identify tailings-affected soils as the priority management unit for the Jinning area, meaning that remediation resources should be concentrated where the risk index is highest rather than spread uniformly across the landscape. This finding aligns with a growing international consensus that mine tailings disposal sites are among the most consequential and undermanaged sources of metal contamination, and that approaches such as phytostabilization, the use of plants to immobilize metals in place, can be effective first steps in arid and semi-arid settings. The depth-resolved data also carry a warning for agriculture: because the moderate risk is confined to the upper thirty centimeters, the layer where most crop roots feed, the contamination is precisely where it can most easily enter the food chain. Cadmium accumulation in vegetables grown near phosphate operations has been documented in other Chinese mining regions, and the Yunnan-Guizhou phosphate belt is known for elevated cadmium in both ore and agricultural products.</p>
<p>For Dianchi Lake, the study adds a new dimension to an old problem. The lake&#8217;s celebrated struggles with eutrophication have focused attention on nitrogen and phosphorus runoff from farms and cities, but the metal dimension of upstream land use has received less systematic attention. The finding that available phosphorus declines with depth while surface soils in tailings areas carry elevated cadmium and lead suggests that the same erosion processes that move nutrients downslope can also mobilize metals toward the water. Sediments in receiving lakes are the ultimate sink for such particles, and metal-laden sediment can remobilize under changing chemical conditions. The research was supported by the National Natural Science Foundation of China and Yunnan Provincial programs, reflecting regional investment in understanding the environmental legacy of phosphate extraction.</p>
<p>What makes the study broadly significant is its methodological lesson: depth matters, and land use matters, and they matter together. A survey that sampled only surface soils across all five land-use types would have correctly flagged tailings land but might have overstated the uniformity of the risk. A survey that sampled only one land-use type at multiple depths would have missed the spatial contrast entirely. By crossing the two dimensions, the researchers produced a risk map that is actionable in three dimensions, identifying not just where to intervene but how deep remediation needs to reach. As phosphate demand continues globally, driven by fertilizer production and battery chemistry, watersheds like Jinning will multiply. The soils above Dianchi Lake now offer a measured, layered baseline for managing them, and a reminder that the most important environmental data sometimes lies well below the surface.</p>
<p><strong>Subject of Research:</strong> Distribution of potentially toxic elements and ecological risk across land-use types and soil depths in a phosphate-mining watershed upstream of Dianchi Lake, China</p>
<p><strong>Article Title:</strong> Land-use and depth-dependent distribution of potentially toxic elements and ecological risk in soils of a phosphate-mining watershed upstream of Dianchi Lake, China</p>
<p><strong>Article References:</strong> Land-use and depth-dependent distribution of potentially toxic elements and ecological risk in soils of a phosphate-mining watershed upstream of Dianchi Lake, China. (n.d.). <a href="https://doi.org/10.1007/s10653-026-03514-z" rel="noopener noreferrer">https://doi.org/10.1007/s10653-026-03514-z</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s10653-026-03514-z" rel="noopener noreferrer">10.1007/s10653-026-03514-z</a></p>
<p><strong>Keywords:</strong> phosphate mining, potentially toxic elements, soil contamination, cadmium, mercury, ecological risk index, tailings, soil depth, land use, Dianchi Lake, Yunnan, geochemistry</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">220986</post-id>	</item>
		<item>
		<title>Age-specific time-spent patterns among residents living near gold mine tailings storage facilities in the West Rand, South Africa</title>
		<link>https://scienmag.com/age-specific-time-spent-patterns-among-residents-living-near-gold-mine-tailings-storage-facilities-in-the-west-rand-south-africa/</link>
		
		<dc:creator><![CDATA[Ophelia Keating]]></dc:creator>
		<pubDate>Fri, 11 Sep 2026 23:47:06 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[Age-specific]]></category>
		<category><![CDATA[age-specific time-spent near mine waste]]></category>
		<category><![CDATA[community exposure to gold mine tailings]]></category>
		<category><![CDATA[environmental health risks of mining]]></category>
		<category><![CDATA[environmental monitoring of tailings facilities]]></category>
		<category><![CDATA[exposure patterns in mining towns]]></category>
		<category><![CDATA[facilities]]></category>
		<category><![CDATA[gold]]></category>
		<category><![CDATA[gold mine tailings exposure]]></category>
		<category><![CDATA[health implications of proximity to mine waste]]></category>
		<category><![CDATA[impact of gold mining on local communities]]></category>
		<category><![CDATA[living]]></category>
		<category><![CDATA[long-term effects of mine tailings]]></category>
		<category><![CDATA[mine]]></category>
		<category><![CDATA[near]]></category>
		<category><![CDATA[patterns]]></category>
		<category><![CDATA[residents]]></category>
		<category><![CDATA[residents living near tailings storage facilities]]></category>
		<category><![CDATA[socio-environmental impact of gold mining]]></category>
		<category><![CDATA[South Africa West Rand mining landscape]]></category>
		<category><![CDATA[storage]]></category>
		<category><![CDATA[tailings]]></category>
		<category><![CDATA[time-spent]]></category>
		<category><![CDATA[West]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=193142</guid>

					<description><![CDATA[In the mining towns scattered across South Africa's West Rand, a quiet but consequential question sits at the intersection of environmental health and everyday life: how much time do residents actually spend near the vast dumps of crushed rock and]]></description>
										<content:encoded><![CDATA[<p>In the mining towns scattered across South Africa&#8217;s West Rand, a quiet but consequential question sits at the intersection of environmental health and everyday life: how much time do residents actually spend near the vast dumps of crushed rock and fine sand left behind by more than a century of gold mining? A new study published in the Journal of Exposure Science &amp; Environmental Epidemiology addresses this question directly, documenting age-specific time-spent patterns among people living close to gold mine tailings storage facilities. The work fills a gap that exposure scientists have long identified in one of the world&#8217;s most intensively mined landscapes, where millions of people dwell within sight, and often within walking distance, of enormous engineered mounds of mine waste that have become a permanent feature of the region&#8217;s geography and daily experience.</p>
<p>Tailings storage facilities, known in the industry as TSFs, are the embankments and impoundments built to contain the fine-grained residue that remains after gold ore is crushed and processed. On the Witwatersrand, the gold-bearing basin that underlies much of Gauteng Province, these facilities rise as pale, treeless hills that dominate the horizon of townships and informal settlements. Under dry Highveld conditions, particularly during the windy winter months, fine dust can be lifted from tailings surfaces and carried into nearby communities. Residents may inhale respirable dust containing crystalline silica and, in some cases, low concentrations of uranium and other metals associated with gold-bearing ore. Assessing the health risks of such exposure requires not only measurements of dust concentration but also a clear picture of how long, and in what settings, people are actually exposed to whatever the wind carries off the dumps.</p>
<p>That second ingredient is precisely what time-activity data provide, and it is precisely what has been missing for the communities of the West Rand. Exposure assessment in environmental epidemiology depends fundamentally on the product of concentration and duration: a person who spends twelve hours a day outdoors near a dust source faces a very different exposure profile from someone who works in an office across town and sleeps behind closed windows. Yet regulatory models and risk assessments in South Africa, as in many countries, have often relied on generic assumptions imported from international guidelines, typically European or North American time budgets that assume substantial time indoors, in sealed buildings, with mechanical ventilation. Such assumptions map poorly onto communities where many homes are informal structures, where cooking and socializing happen outdoors, where unemployment keeps large numbers of people at home all day, and where children play on unpaved ground close to the tailings themselves.</p>
<p>The research team set out to replace those assumptions with locally observed data. Their study focused on residential communities situated in proximity to tailings storage facilities along the West Rand, the western arm of the Witwatersrand gold field that runs through municipalities such as Merafong and the areas around Randfontein and Westonaria. Participants across a range of age groups were asked to document and recall how they spent their time across a representative day, capturing the categories of activity that exposure scientists use to partition daily life: time indoors at home, time indoors elsewhere such as school or work, time outdoors near the residence, time spent further afield, and time in transit. By collecting this information separately for children of different ages, working-age adults, and older residents, the study was able to construct age-stratified time budgets rather than a single community average.</p>
<p>The age-stratified approach matters because exposure risk is not distributed evenly across a lifetime. Infants and young children breathe more air per unit of body weight than adults, their respiratory tracts are still developing, and their behaviors, crawling on floors, playing in dust, hand-to-mouth contact, can amplify contact with contaminated soil and particulates. School-age children spend large portions of the day in classrooms that may or may not offer protection from outdoor dust, and many walk routes to and from school that pass close to tailings footprints. Adults of working age may be away from the residential exposure zone for much of the day, or, where unemployment is high, may remain in it continuously. Elderly residents, particularly those with pre-existing respiratory or cardiovascular conditions, are among the most vulnerable to particulate pollution yet may spend nearly all of their time within a few hundred meters of home. Without age-specific data, a risk model that averages across these very different patterns will underestimate exposure for some groups and overestimate it for others.</p>
<p>While the detailed numerical results reside in the full publication, the study&#8217;s contribution can be understood at two levels. At the level of raw evidence, it provides measured, locally grounded estimates of the hours per day that West Rand residents of different ages spend in locations and microenvironments relevant to tailings-derived dust exposure. At the level of method, it demonstrates a practical protocol for gathering such data in resource-constrained, high-exposure settings, where survey-based recall and structured questionnaires are often the only feasible instruments. Studies of this kind commonly reveal that total time outdoors near the home is substantially higher than default values assumed in international exposure models, particularly for children and for adults who are not formally employed, and that time in enclosed, mechanically ventilated environments is correspondingly lower. The West Rand findings are significant precisely because they anchor risk calculations in the actual rhythms of life in mining-adjacent communities rather than in borrowed assumptions.</p>
<p>The broader context makes the work urgent. The Witwatersrand has produced gold since 1886, and the region&#8217;s legacy tailings footprint extends across hundreds of square kilometers, much of it now surrounded or penetrated by residential development that expanded during and after apartheid-era planning, when Black communities were frequently located on marginal land close to mine dumps. Re-mining operations, in which companies reprocess old tailings to extract residual gold, add a contemporary layer of activity: trucks, conveyors, and processing plants that can re-suspend dust from deposits that had partially stabilized. Community organizations and environmental justice groups on the West Rand have for years raised concerns about respiratory illness, silicosis-like symptoms, and the long shadow of mining waste, while regulatory attention to residential proximity has grown through frameworks such as South Africa&#8217;s National Environmental Management Act and guidelines addressing buffer distances around tailings facilities. Sound policy in this contested space depends on defensible exposure estimates, and defensible exposure estimates depend on exactly the kind of time-activity data this study supplies.</p>
<p>The findings also speak to an international audience of exposure scientists, because time-activity patterns are among the most context-dependent variables in all of environmental health research. A time budget measured in a North American suburb, with its sealed houses, air conditioning, and car commutes, is simply a different object from one measured in a settlement of informal dwellings where daily life unfolds outdoors. Researchers in the exposure sciences have increasingly recognized that microenvironment models, which calculate total exposure as the sum of concentrations multiplied by time spent in each distinct setting, are only as good as the time-location inputs they receive. Studies from low- and middle-income countries remain underrepresented in this literature relative to the size of the populations potentially affected, which makes locally generated datasets from places like the West Rand valuable well beyond their immediate geography. They offer reference points for other mining-affected regions of southern Africa, and for the wider Global South, where tailings facilities and residential communities frequently coexist.</p>
<p>For residents themselves, the practical significance lies in what follows from measurement. Age-specific time budgets can inform where and when dust-control interventions will deliver the greatest benefit: rehabilitating tailings surfaces with vegetation or covers, adjusting re-mining activities during high-wind seasons, considering buffer zones in land-use planning, and targeting school and household-level measures, such as improved ventilation practices and dust-suppression around play areas, toward the groups whose daily routines place them most directly in the exposure pathway. Public health authorities can use the same data to refine health risk assessments and to prioritize environmental monitoring locations. Community advocates gain a documented, quantified account of how mining infrastructure shapes the daily lives of those living in its shadow, evidence that can carry weight in consultations, licensing processes, and debates over land use.</p>
<p>The study also underscores a deceptively simple point that recurs throughout exposure science: people are not passive receptors of pollution, and the dose they receive reflects the texture of their days. Understanding that texture, hour by hour and age group by age group, is an unglamorous but essential foundation for protecting public health in landscapes shaped by extraction. For the communities of the West Rand, where gold mine waste has been a neighbor for generations, having their actual patterns of movement and activity captured in the peer-reviewed literature represents a step toward risk assessments that see them as they are. It is a reminder that the path from a mine dump to a person&#8217;s lungs runs not only through the air, but through the ordinary details of where people live, work, learn, and play, and that measuring those details is where credible environmental health protection begins.</p>
<p>As gold mining continues its long retreat across the Witwatersrand, the waste it leaves behind will outlast the industry itself, and the populations living alongside that waste will continue to grow. Research that documents, with precision, how those populations inhabit their environment converts a legacy of neglect into an evidence base for action. The age-specific time-spent patterns reported for the West Rand provide a template for how such evidence can be gathered and a foundation on which dust management, urban planning, and public health interventions can now be built, in South Africa and in every other region where communities and mine tailings share the same ground.</p>
<p><strong>Subject of Research:</strong> Age-specific time-spent patterns among residents living near gold mine tailings storage facilities in the West Rand, South Africa</p>
<p><strong>Article Title:</strong> Age-specific time-spent patterns among residents living near gold mine tailings storage facilities in the West Rand, South Africa</p>
<p><strong>Article References:</strong> Kalumbi, L. R., Masekameni, M. D., Utembe, W., &amp; Brouwer, D. (2026). Age-specific time-spent patterns among residents living near gold mine tailings storage facilities in the West Rand, South Africa. <em>Journal of Exposure Science &amp;amp; Environmental Epidemiology</em>. <a href="https://doi.org/10.1038/s41370-026-00972-6" rel="noopener noreferrer">https://doi.org/10.1038/s41370-026-00972-6</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1038/s41370-026-00972-6" rel="noopener noreferrer">10.1038/s41370-026-00972-6</a></p>
<p><strong>Keywords:</strong> Age-specific, time-spent, patterns, residents, living, near, gold, mine, tailings, storage, facilities, West</p>
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