A generalized regression model of arsenic variations in the shallow groundwater of Bangladesh.

ABSTRACT: Localized studies of arsenic (As) in Bangladesh have reached disparate conclusions regarding the impact of irrigation-induced recharge on As concentrations in shallow (≤50 m below ground level) groundwater. We construct generalized regression models (GRMs) to describe observed spatial variations in As concentrations in shallow groundwater both (i) nationally, and (ii) regionally within Holocene deposits where As concentrations in groundwater are generally high (>10 μg L^-1). At these scales, the GRMs reveal statistically significant inverse associations between observed As concentrations and two covariates: (1) hydraulic conductivity of the shallow aquifer and (2) net increase in mean recharge between predeveloped and developed groundwater-fed irrigation periods. Further, the GRM

SUBMITTER: Shamsudduha M 

PROVIDER: S-EPMC4964952 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature