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A Localized Evaluation of Surface Water Quality Using GIS-Based Water Quality Index along Satpara Watershed Skardu Baltistan, Pakistan

ISPRS International Journal of Geo-Information, ISSN: 2220-9964, Vol: 13, Issue: 11
2024
  • 1
    Citations
  • 0
    Usage
  • 1
    Captures
  • 1
    Mentions
  • 34
    Social Media
Metric Options:   Counts1 Year3 Year

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  • Citations
    1
  • Captures
    1
  • Mentions
    1
    • Blog Mentions
      1
      • Blog
        1
  • Social Media
    34
    • Shares, Likes & Comments
      34
      • Facebook
        34

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IJGI, Vol. 13, Pages 393: A Localized Evaluation of Surface Water Quality Using GIS-Based Water Quality Index along Satpara Watershed Skardu Baltistan, Pakistan

IJGI, Vol. 13, Pages 393: A Localized Evaluation of Surface Water Quality Using GIS-Based Water Quality Index along Satpara Watershed Skardu Baltistan, Pakistan ISPRS International

Article Description

Surface water quality in Skardu, Gilgit-Baltistan, Pakistan, is of immense importance because of the city’s dependence on these resources for domestic uses, agriculture, and drinking water. The water quality index (WQI) was integrated with the Geographic Information System (GIS) to spatially envision and examine water quality data to facilitate the identification of pollution hotspots, trend analysis, and knowledge-based decision-making for effective water resource management. This study aims to evaluate the physiochemical and bacteriological parameters of the Satpara watershed and to provide the spatial distribution of these parameters. This study endeavors to achieve Sustainable Development Goal 6 (SDG 6) by identifying localities with excellent and unfit water for drinking, sanitation, and hygiene. A total of fifty-one surface water samples were collected from various parts of the Satpara watershed during the fall season of 2023. Well-established laboratory techniques were used to investigate water for parameters like Electrical Conductivity (EC), pH, turbidity, total dissolved solids (TDSs), major cations ((Formula presented.), (Formula presented.), (Formula presented.), (Formula presented.)), major anions ((Formula presented.), (Formula presented.), (Formula presented.), (Formula presented.)), and bacteriological contaminants (E. coli). Spatial distribution maps of all these parameters were created using the Inverse Distance Weighted (IDW) technique in a GIS environment. A significant variation in the quality of water was observed along the study area. The level of Escherichia coli (E. coli) contamination is above the permissible limit at various locations along the watershed, making water unsafe for direct human consumption in these areas. Some regions showed low TDS values, which could adversely affect human health and agricultural yield. From the WQI valuation, 58.82% of the collected samples were “Poor”, 31.8% were “Very poor” and 9.8% were found to be “Unfit for drinking”. The research findings emphasize the pressing need for consistent monitoring and adoption of water management strategies in Skardu City to warrant sustainable soil and water use. The spatial maps generated for various parameters and the water quality index WQI offer critical insights for targeted intercessions.

Bibliographic Details

Ali Muhammad; Donghui Shangguan; Amjad Ali Khan; Asim Qayyum Butt; Muhammad Ahsan Mukhtar; Ghulam Rasool; Ayesha Hussain

MDPI AG

Social Sciences; Earth and Planetary Sciences

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