A5067946062- Arsenic contamination and mitigation
- Heavy metals in environment
- Heavy Metal Exposure and Toxicity
- Groundwater and Isotope Geochemistry
- Water Quality and Pollution Assessment
- Geochemistry and Geologic Mapping
- Water resources management and optimization
- Mine drainage and remediation techniques
- Water-Energy-Food Nexus Studies
- Soil Geostatistics and Mapping
University of Manchester
2020-2023
Groundwater is a critical resource in India for the supply of drinking water and irrigation. Its usage limited not only by its quantity but also quality. Among most important contaminants groundwater arsenic, which naturally accumulates some aquifers. In this study we create random forest model with over 145,000 arsenic concentration measurements two dozen predictor variables surface environmental parameters to produce hazard exposure maps areas populations potentially exposed high...
Abstract Geogenic arsenic contamination in groundwaters poses a severe health risk to hundreds of millions people globally. Notwithstanding the particular risks exposed populations Indian sub-continent, at time writing, there was paucity geostatistically based models spatial distribution groundwater hazard India. In this study, we used logistic regression secondary data with research-informed soil, climate and topographic variables as principal predictors generate maps resolution 1 km across...
Groundwater arsenic in Uruguay is an important environmental hazard, hence, predicting its distribution to inform stakeholders. Furthermore, occurrences are known variably show dependence on depth and geology, arguably reflecting different processes controlling groundwater concentrations. Here, we present the of modelled by a variety machine learning, basic expert systems, hybrid approaches. A pure random forest approach, using 26 potential predictor variables, gave rise model with very high...
Cardiovascular diseases (CVDs) have been recognized as the most serious non-carcinogenic detrimental health outcome arising from chronic exposure to arsenic. Drinking arsenic contaminated groundwaters is a critical and common pathway for arsenic, notably in India other countries circum-Himalayan region. Notwithstanding this, there has hitherto dearth of data on likely impacts this CVD India. In study, mortality risks drinking groundwater with high (>10 μg/L) its constituent states,...
Abstract Although there are an increasing number of artificial intelligence/machine learning models various hazardous chemicals (e.g. As, F, U, NO 3 − , radon) in environmental media groundwater, soil), these most commonly use arbitrarily selected cutoff criteria to balance model specificity and sensitivity. This results hazard distribution that, whilst often considerable interest utility, not designed optimize cost benefits the mitigation those hazards. In this case study, building upon...
Groundwater arsenic (As) still poses a massive public health threat, especially in South Asia, including Bangladesh. The removal efficiency of various technologies may be strongly dependent on groundwater composition. Previously, others have reported that the molar ratio [Fe]−1.8[P][As], particular, can usefully predict potential As by widespread sorption/co-precipitation-based remediation systems. Here, we innovatively extended application artificial intelligence (AI) machine learning...