Machine Learning and Entropy Indices Reveal Most Mahanadi Water Near Paradip Unfit to Drink
A three-year geospatial study of the Mahanadi River near Paradip, Odisha, found that most monsoon-season surface water samples were unfit ...
A three-year geospatial study of the Mahanadi River near Paradip, Odisha, found that most monsoon-season surface water samples were unfit ...
A remote sensing and multi-criteria modeling study mapped groundwater recharge potential across Pakistan's Pishin River Basin, with the fuzzy AHP ...
A GIS-based multi-criteria study of Ramadi District found that over 95% of its 46 sports complexes sit in urban areas, ...
A GIS and AHP-based study identifies 1,155.25 square kilometers of northern Iran as suitable for hybrid solar-geothermal power plants, with ...
A GIS-based multi-criteria decision analysis framework maps physical flood vulnerability across Alappuzha District, Kerala, and its predictions align strongly with ...
An AHP-GIS study of Sunamganj district in Bangladesh finds that roughly 37 percent of the area falls within high or ...
A survey of 100 geography students at al-Farabi Kazakh National University found that 67 percent of future teachers reported readiness ...
Researchers modified the TOBIA index to include wedge-failure geometry and mapped kinematic landslide susceptibility along an 80-kilometre stretch of NH-7 ...
A computational framework scores 1,454 Istanbul office buildings and shopping malls on 15-minute-city measures of urban-context readiness for residential conversion.
A GIS-based reanalysis of historical maps and excavated remains shows that structures on Lima's Rímac riverbank are hydraulic tajamares, not ...
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© 2026 Scienmag - Science Magazine