Evaluation of Groundwater Quality and Potability Based on Land Use Variations: A Case Study from Mahiyanganaya, Sri Lanka

This study evaluates groundwater quality and its suitability for drinking, highlighting the impact of land use patterns on water composition. Groundwater samples from 18 wells were analyzed for essential physicochemical parameters, including pH, dissolved oxygen (DO), electrical conductivity (EC), Total dissolved solids (TDS), Alkalinity, Total hardness (TH), Calcium, Magnesium, Sodium, Potassium, Sulfate, and Chloride. The results were compared to World Health Organization (WHO) guidelines for potable water. Spatial distribution analysis, utilizing ArcGIS Pro and the inverse distance weighting (IDW) method, revealed notable deterioration in groundwater quality in urban and paddy field areas due to anthropogenic influences, while forested regions exhibited superior water quality. The findings revealed that 33% of samples from paddy fields, 58% from urban and residential areas, and 83% from forested regions complied with WHO-recommended limits. Hydro-chemical facies were predominantly Ca–Mg–HCO₃, indicating significant geological and anthropogenic influences on water quality. The study concludes that while groundwater remains largely suitable for drinking, continuous monitoring and targeted management strategies are crucial in urban and paddy regions where elevated hardness levels pose contamination risks, thus ensuring the sustainable protection of this vital resource for drinking purposes.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Applied Science
Published
2025-01-01
DOI
https://doi.org/10.51584/ijrias.2025.100600109
Primary Topic
Water Quality and Pollution Assessment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of Groundwater Quality and Potability Based on Land Use Variations: A Case Study from Mahiyanganaya, Sri Lanka

Ven. Pinnawala Sangasumana, Goveanthan A.S, Patabandi. K.P.L.N
International Journal of Research and Innovation in Applied Science
Water Quality and Pollution Assessment
article

Evaluation of Groundwater Quality and Potability Based on Land Use Variations: A Case Study from Mahiyanganaya, Sri Lanka

Ven. Pinnawala Sangasumana, Goveanthan A.S, Patabandi. K.P.L.N
article en

Abstract

This study evaluates groundwater quality and its suitability for drinking, highlighting the impact of land use patterns on water composition. Groundwater samples from 18 wells were analyzed for essential physicochemical parameters, including pH, dissolved oxygen (DO), electrical conductivity (EC), Total dissolved solids (TDS), Alkalinity, Total hardness (TH), Calcium, Magnesium, Sodium, Potassium, Sulfate, and Chloride. The results were compared to World Health Organization (WHO) guidelines for potable water. Spatial distribution analysis, utilizing ArcGIS Pro and the inverse distance weighting (IDW) method, revealed notable deterioration in groundwater quality in urban and paddy field areas due to anthropogenic influences, while forested regions exhibited superior water quality. The findings revealed that 33% of samples from paddy fields, 58% from urban and residential areas, and 83% from forested regions complied with WHO-recommended limits. Hydro-chemical facies were predominantly Ca–Mg–HCO₃, indicating significant geological and anthropogenic influences on water quality. The study concludes that while groundwater remains largely suitable for drinking, continuous monitoring and targeted management strategies are crucial in urban and paddy regions where elevated hardness levels pose contamination risks, thus ensuring the sustainable protection of this vital resource for drinking purposes.

International Journal of Research and Innovation in Applied ScienceVol. X(VI)
Openalex Percentile: Top 83%
Water Quality and Pollution Assessment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.