Groundwater quality assessment and health risk evaluation for schoolchildren in Mujibnagar, Bangladesh: safe consumption guidelines using artificial neural network modeling.

ABSTRACT: Groundwater is a vital source of drinking water in Bangladesh, with tubewells commonly used, particularly in schools. This study assessed the quality of tubewell water in the southwest region, focusing on iron (Fe), arsenic (As), pH, electrical conductivity (EC), and total dissolved solids (TDS). Using artificial neural network (ANN) modeling, daily safe water intake limits for children were estimated based on Fe and As levels. A total of 75 school-based water samples were collected. Fe and As were measured using a Hanna Iron Checker and Hach Arsenic Test Kit. Findings showed that 68% and 48% of samples exceeded WHO and USEPA limits for Fe and As, respectively. In contrast, only 32% and 26.7% of samples surpassed the Bangladesh Water Quality Standards (BDWS) for Fe and As, respectively. Sp

SUBMITTER: Molla MOF 

PROVIDER: S-EPMC12277229 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature