ArticleEnvironmental monitoring and assessment2019
Application of water quality index, synthetic pollution index, and geospatial tools for the assessment of drinking water quality in the Indus Delta, Pakistan.
Article in Environmental monitoring and assessment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Hydrogeochemical Fingerprinting and Integrated Groundwater Quality Assessment in Northern Nansi Lake.Water environment research : a research publication of the Water Environment Federation · 2026Article
- Evaluation of groundwater quality in the bouanane plain using the groundwater pollution index, nitrate pollution index, and microbiological indicators.Scientific reports · 2026Article
- Water quality index and human health risk analysis in urban drinking water sources.Scientific reports · 2026Article
- Assessment of groundwater pollution using PIG index and microbiological indicators in the Angads plain, Morocco.Scientific reports · 2025Article
- Data-driven soft computing modeling of groundwater quality parameters in southeast Nigeria: comparing the performances of different algorithms.Environmental science and pollution research international · 2022Article
- Multivariate analysis of water quality parameters in Lake Palic, Serbia.Environmental monitoring and assessment · 2021Article
- Hydrogeochemical characteristics and groundwater quality assessment in the plain area of Yarkant River Basin in Xinjiang, P.R. China.Environmental science and pollution research international · 2021Article
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Authors and funding
4 authors.
Funding
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Abstract
Seawater intrusion into the Indus Delta, Pakistan, has spoiled groundwater aquifers in the area. In the delta, the groundwater is widely used by residents for drinking. Considering the gravity of the problem, and concerns expressed by affected communities, the present study was conducted to assess and map the quality of groundwater, based on the physico-chemical properties of 180 samples, using two standard numerical indices, geospatial and statistical techniques. The analysis of water samples revealed that several parameters exceeded the drinking water quality guidelines suggested by the World Health Organization (WHO). The water quality index (WQI) identified that about 1.7%, 1.1%, 27.8%, 42.8%, and 26.6% of the water samples were excellent, good, poor, very poor, and unsuitable for drinking purposes, respectively. However, the synthetic pollution index (SPI) ranked the quality of 2.8%, 2.2%, 23.9%, 41.7%, and 29.4% as suitable, slightly polluted, moderately polluted, highly polluted, and unsuitable, respectively. Though the numerical model's input is different, the proportionate ranking revealed a fair correlation (R
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