This study evaluates groundwater quality in Kandahar City, Afghanistan, integrating hydrogeochemical characterization with water quality index (WQI), irrigation suitability assessment, and health risk zoning approaches. Groundwater is a critical drinking-water and irrigation resource in hard-rock aquifers, where quality is governed by complex rock-water interactions and can vary markedly across space. This study integrates hydrogeochemical characterization with a decision-oriented water-quality assessment to evaluate groundwater suitability for domestic consumption and agricultural use. Eighty groundwater samples were analyzed, and drinking-water quality was quantified using a Water Quality Index (WQI), complemented by irrigation hazard diagnostics including sodium percentage (Na%), sodium adsorption ratio (SAR), residual sodium carbonate (RSC), permeability index (PI), Kelly’s ratio (KR), and magnesium adsorption ratio (MAR). Spatial heterogeneity in groundwater quality was mapped using two interpolation approaches-Inverse Distance Weighting (IDW) and Ordinary Kriging-to contrast localized versus regional patterns and to identify priority zones for intervention. WQI classification indicates that most samples fall within the Excellent (38.75%) and Good (32.5%) categories, whereas 28.75% of samples are Poor to Undrinkable (15% Poor, 6.25% Very Poor, and 7.5% Undrinkable), highlighting discrete hotspots of degraded quality. Irrigation suitability is generally favorable, with uniformly low SAR (0-6.24; mean 0.91) and KR < 1 for all samples, while localized constraints are indicated by PI and MAR, and by elevated RSC in a subset of samples. A WHO-guideline exceedance-based health risk screening indicates that key concerns are associated with elevated total hardness (48.33% exceedance) and elevated chloride and TDS (40% each), with additional exceedances observed for sulphate (38.33%). Collectively, the findings demonstrate that coupling hydrogeochemical interpretation with WQI-based classification, irrigation indices, and geostatistical mapping provides an actionable framework for prioritizing treatment in high-risk zones, guiding safe allocation of sources for drinking, and sustaining agricultural water use through targeted management measures.
Karimi et al. (Sat,) studied this question.