BetaBetaDataset
To determine if the relationship between NH4+ and As (geogenic arsenic) can be used to develop a reliable predictive model for As in floodplains; To apply the model to the Jiangbei Plain, which is adjacent to the Jianghan Plain and has been reported to contain NH4+ concentrations but unknown As levels; and, to assess the transferability of the model to other floodplains.
Long-term exposure to geogenic arsenic (As)-contaminated groundwater poses a severe threat to public health problems. With elevated As concentrations observed with high amounts of ammonium in groundwater of floodplains, the study conducted an extreme gradient boosting algorithm to develop a probability model based on hydrogeochemical data, which predicted the occurrence rates of groundwater As on a regional scale.
HTML tables with summaries on XGB model hyperparameters and performance metrics, hydrochemical characteristics and hydrogeological conditions of high arsenic groundwater in Southeast Asia. Map of results of the chemicals transferred to typical floodplain in South Asia. Maps of groundwater sites across regions in China.
Data were collected from testing water from shallow confined aquifers, generally considered less affected by human activity.