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


Mahar A. S., Solangi G. S., Noonari A. A., Khatri K. L., Pahnwar S., Keerio H. A., ...Daha Fazla

Water Supply, cilt.25, sa.3, ss.545-558, 2025 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 25 Sayı: 3
  • Basım Tarihi: 2025
  • Doi Numarası: 10.2166/ws.2025.033
  • Dergi Adı: Water Supply
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, Compendex, Environment Index, Geobase, ICONDA Bibliographic, Pollution Abstracts, Veterinary Science Database, Directory of Open Access Journals
  • Sayfa Sayıları: ss.545-558
  • Anahtar Kelimeler: GIS, GPI, groundwater, metal analysis, physicochemical analysis, SPI
  • Gazi Üniversitesi Adresli: Evet

Özet

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.