Assessment of groundwater quality in Piryaloi, Pakistan: integrating GPI, SPI, and GIS for comprehensive analysis

ABSTRACT At present, the groundwater quality in various parts of the world is under serious threat. As a result, human health is highly affected. Thus, the present study analyzed and mapped the groundwater quality of Piryaloi, Pakistan using two widely applied indices, i.e., groundwater pollution index (GPI), synthetic pollution index (SPI), and GIS. Water samples were analyzed for various physicochemical parameters such as pH, turbidity, total dissolved solids (TDS), electrical conductivity (EC), chloride (Cl−), calcium (Ca2+), magnesium (Mg2+), total hardness (TH), carbonates (CO32−), bicarbonates (HCO31−), fluoride (F), and heavy metals such as sodium (Na), potassium (K), iron (Fe), manganese (Mn), nickel (Ni), zinc (Zn), molybdenum (Mo), boron (B), arsenic (As), cobalt (Co), copper (Cu), cadmium (Cd), palladium (Pd), and chromium (Cr). According to the GPI, 46.67, 40 and 13.33% of samples were excellent, good, and poor, respectively. Whereas, according to the SPI, 33.3, 40, 20, and 6.7% of samples were suitable, slightly polluted, moderately polluted, and highly polluted respectively. Despite the different inputs to the indices, the proportionate ranking showed a moderate correlation (R2 = 0.62) between the results of both indices. Interpolated maps also depicted that in some areas, groundwater is contaminated, and thus it should be treated well before drinking.

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Journal
Water Science & Technology Water Supply
Published
2025-03-01
DOI
https://doi.org/10.2166/ws.2025.033
Citations
1
Primary Topic
Groundwater and Watershed Analysis
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article
Field-Weighted Citation Impact
0.80
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Assessment of groundwater quality in Piryaloi, Pakistan: integrating GPI, SPI, and GIS for comprehensive analysis

Naila Gul, Rabia Soomro, Ghulam Shabir Solangi, Kanya L. Khatri et al.
1 citations
Water Science & Technology Water Supply
Groundwater and Watershed Analysis
0.80
article

Assessment of groundwater quality in Piryaloi, Pakistan: integrating GPI, SPI, and GIS for comprehensive analysis

Naila Gul, Rabia Soomro, Ghulam Shabir Solangi, Kanya L. Khatri, Altaf Alam Noonari, Hareef Ahmed Keerio, Ali Dino Mahar, Sallahuddin Pahnwar, Jahanzeb Khaskheli
article en
1 citations

Abstract

ABSTRACT At present, the groundwater quality in various parts of the world is under serious threat. As a result, human health is highly affected. Thus, the present study analyzed and mapped the groundwater quality of Piryaloi, Pakistan using two widely applied indices, i.e., groundwater pollution index (GPI), synthetic pollution index (SPI), and GIS. Water samples were analyzed for various physicochemical parameters such as pH, turbidity, total dissolved solids (TDS), electrical conductivity (EC), chloride (Cl−), calcium (Ca2+), magnesium (Mg2+), total hardness (TH), carbonates (CO32−), bicarbonates (HCO31−), fluoride (F), and heavy metals such as sodium (Na), potassium (K), iron (Fe), manganese (Mn), nickel (Ni), zinc (Zn), molybdenum (Mo), boron (B), arsenic (As), cobalt (Co), copper (Cu), cadmium (Cd), palladium (Pd), and chromium (Cr). According to the GPI, 46.67, 40 and 13.33% of samples were excellent, good, and poor, respectively. Whereas, according to the SPI, 33.3, 40, 20, and 6.7% of samples were suitable, slightly polluted, moderately polluted, and highly polluted respectively. Despite the different inputs to the indices, the proportionate ranking showed a moderate correlation (R2 = 0.62) between the results of both indices. Interpolated maps also depicted that in some areas, groundwater is contaminated, and thus it should be treated well before drinking.

Water Science & Technology Water SupplyVol. 25(3)
Jiangsu University (CN), Mehran University of Engineering and Technology (PK), Shaikh Zayed Medical College and Hospital (PK), Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology (PK), Balochistan University of Engineering and Technology (PK), Sukkur IBA University (PK), Gazi University (TR)
Clean water and sanitation
Openalex Percentile: Top 32%
Groundwater and Watershed Analysis
0.80
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