Assessment of groundwater quality in Vavuniya and Mullaitivu, Sri Lanka using multivariate statistical techniques and a Water Quality Index

Abstract

Groundwater has become the primary source of potable water in the Northern province of Sri Lanka and extensive development projects, comprising resettlements after the civil war resulted in more extraction of groundwater. This study focused to assess water quality from the perspective of drinking by developing a Water Quality Index (WQI), applying Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA), and developing spatial distribution maps. Findings revealed more than 50% of samples reported higher total dissolved solid (TDS), hardness, and alkalinity values above the Sri Lankan drinking water quality standards (SLS 614:2013). 7 and 13% of sampling sites were in the ‘Excellent’ and ‘Poor’ subclasses, respectively. PCA results explained >77% of variability by the first four principal components (PCs). PC1 and PC2 reflect geogenic processes while PC3 reflects natural processes like high rainfall and PC4 indicates anthropogenic pollution sources. HCA rendered 122 sampling sites into three clusters. An integrated map of the WQI and three clusters discovers a predominant analysis of potable water quality highlighting the deterioration of groundwater quality mainly in the 18 Grama Niladhari Divisions (GNDs) of the study area. Artificial recharging at a household level and introducing proper sanitation facilities and regulations in agricultural practices shall be implemented to improve the WQI further.

Water quality monitoring and assessment in coastal lagoons: Developing a protocol using a case study in Sainthamaruthu lagoon, Sri Lanka

“…Though the multivariate statistics method is used as an imperative tool in designing water quality monitoring program, its application mainly focuses on monitoring and assessing the water quality in groundwater in the context of Sri Lanka (Balasooriya et al, 2021;Ganegoda et al, 2018;Karangoda & Nanayakkara, 2023;Meegahakumbura et al, 2023). Furthermore, multivariate analysis was employed to a certain extent in monitoring the surface water.…”

Groundwater quality characterization using an integrated water quality index and multivariate statistical techniques

“…The GWQ is affected by a wide variety of natural and anthropogenic factors [10]. The rock-water interaction, mineral concentration, and ion exchange are some natural factors [11][12][13]. According to a UN report, 22% of deaths are directly connected to the waterborne [14,15].…”