jifara2024/Groundwater-Quality-Modeling-Borena

Geostatistical analysis and groundwater quality modeling using GIS, Remote Sensing, ArcGIS, SPSS, and Python in Borena Zone, Ethiopia. # Groundwater Quality Modeling - Borena Zone, Ethiopia ## Overview This project presents a geostatistical analysis and groundwater quality assessment of Borena Zone, Ethiopia. The study evaluates groundwater suitability for drinking purposes using hydrochemical parameters and spatial interpolation techniques. ## Objectives - Assess groundwater quality - Analyze TDS and EC relationships - Produce groundwater quality maps - Identify salinity hotspots - Support groundwater management ## Study Area Borena Zone, Oromia Region, Ethiopia ## Data Sources - Groundwater laboratory data - Landsat 8 imagery - SRTM DEM - Climate datasets - Geological maps - Soil maps ## Methods - Data preprocessing - Spatial analysis - Geostatistics - Ordinary Kriging - Correlation analysis - Land use classification ## Software - ArcGIS - ENVI - QGIS - SAGA GIS - SPSS - Python # Study Area # Precipitation Map # Geological Map # Land Cover Map # Electrical Conductivity Distribution # Total Dissolved Solids Distribution ## Key Findings - Groundwater quality assessed from 118 samples. - Electrical Conductivity (EC) and Total Dissolved Solids (TDS) showed strong correlation. - Correlation coefficient (R²) = 0.977. - Relationship: EC = 246.56 + 1.32(TDS) - High salinity hotspots identified in: - Teltelle - Dire - Arero - Low salinity groundwater observed in: - Yabello - Moyale - Miyo ## Technical Skills Demonstrated - GIS Analysis - Geostatistics - Ordinary Kriging - Spatial Analysis - Remote Sensing - Groundwater Modeling - Water Quality Assessment - SPSS - ArcGIS - Python - Environmental Data Science Author Jifara Dabessa MSc in Remote Sensing and Geoinformatics BSc in Computer Science Advanced Diploma in Water Resources Engineering Ministry of Water and Energy, Ethiopia ## Full Report The complete research report is available: BorenaWQ_subsurfaceModelling.pdf