GIS-statically-based modelling the groundwater quality assessment coupled with soil and terrain attributes data.

ABSTRACT: In this study, we investigated the application of Geographic Information Systems (GIS) for groundwater quality assessment through the integration of statistical models with soil and topographical data. Our primary objectives were to identify soil parameters and topographical attributes contributing to groundwater quality assessment and to evaluate the potential of geostatistics and GIS for spatial analysis of groundwater resources. Groundwater samples were collected from 43 agricultural wells, and surface soil layer samples (0-20 cm) were obtained near each well. We measured groundwater quality parameters and relevant soil properties. Our approach involved the utilization of multiple linear regression (MLR) and principal component regression (PCR), combined with topographical terrain attri

SUBMITTER: Chen Y 

PROVIDER: S-EPMC10688863 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature