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In upland areas, groundwater quality is vital for humans and livestock. Sustainable aquifer use relies on regular monitoring, mainly using water level data. This study used geostatistics and ArcGIS to predict spatial and seasonal changes in groundwater quality in West Godavari district. Thirty samples from thirty villages were collected in pre- and post-monsoon and tested for pH, EC, TDS, TH, Cl-, SO42-, Ca2+, Mg2+, TA, DO, and BOD. IDW interpolation in GIS was used for spatiotemporal analysis. The Water Quality Index (WQI) was calculated to assess potability. The pre-monsoon WQI was 47.91 (fit for drinking), while the post-monsoon WQI was 57.67 (poor quality). In pre-monsoon, 49.99% of samples and in post-monsoon, 66.66% of samples ranged from excellent to good. GIS mapping showed NW and SE areas were good in pre-monsoon and SW in post-monsoon. IDW revealed spatial water quality, while WQI confirmed groundwater suitability, aiding informed water use decisions.
Upland, Groundwater, GIS, IDW, WQI