Characterization, geostatistical modeling and health risk assessment of potentially toxic elements in groundwater resources of northeastern Iran
نویسندگان
چکیده
• Random forest model is used to identify the sources of groundwater contamination. Both geogenic and anthropogenic processes affect quality. The source As, Cr, Fe Se in predominantly geogenic. As Cr pose significant health risks through drinking pathway. Northeastern Iran. In northeastern Iran, water needed for municipal agricultural activities mainly comes from resources. However, it subject substantial We characterize contamination by employing an integrated approach that can be applied identification large-scale other regions. An existing dataset georeferenced quality parameters 676 locations northeast Iran was analyzed investigate geochemical properties groundwater. Gridding graphically illustrates areas affected high concentrations Cl ? , Fe, Mg 2+ Na + NO 3 Se, SO 4 2- . then identified potential random (RF) regression modeling. models show major ions, content are determined geology study area. Modeling also links with sewage discharge into aquifers as well application nitrogenous animal-waste fertilizers. Areas salinity result evaporate deposits irrigation return flow. Medium non-carcinogenic risk found Our elsewhere analyze regional associated
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ژورنال
عنوان ژورنال: Journal of Hydrology: Regional Studies
سال: 2021
ISSN: ['2214-5818']
DOI: https://doi.org/10.1016/j.ejrh.2021.100885