Accessing the Differential Suitability of Ganga River Water for Drinking, Irrigation, and Industrial Use: A First-Time Report Based on Index Analysis and Unsupervised Machine Learning, Highlighting the Need for Region-Specific Water Management Approa

One-third of India’s population depends on the Ganga River (also known as Ganges), facing progressive degradation due to industrial effluents, rapid urbanization, and agricultural runoff. From Gaumukh (a glacier) to Gangasagar (a delta), this study offers a spatial assessment of the suitability of Ganga water quality for drinking, irrigation, and industrial use across 26 sites. Sector-specific suitability was measured using the Langelier saturation index (LSI), sodium adsorption ratio (SAR), and National Sanitation Foundation Water Quality Index (NSF-WQI). Between the Upper Ganga Stretch (UGS) and the Lower Ganga Stretch (LGS), the quality of Ganga water decreased, with only 15% meeting safe drinking standards, 38.5% being moderately suitable, and 46.2% being unsuitable as per NSFWQI values. While 38% of total water samples were found only moderately suitable for irrigation purpose as per SAR values. Risks to industrial operations (LSI values) were identified that 30.8% of the sites were severely corrosive, while 69.2% of the sites were slightly corrosive. Principal component analysis (PCA) and hierarchical clustering (HC) further defined distinct usability zones and key pollution drivers, underscoring the need for spatially adaptive and sector-specific water management strategies.

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Publication Details

Journal
ACS ES&T Water
Published
2025-10-24
DOI
https://doi.org/10.1021/acsestwater.5c00574
Citations
1
Primary Topic
Water Quality and Pollution Assessment
Type
article
Field-Weighted Citation Impact
0.82
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article

Accessing the Differential Suitability of Ganga River Water for Drinking, Irrigation, and Industrial Use: A First-Time Report Based on Index Analysis and Unsupervised Machine Learning, Highlighting the Need for Region-Specific Water Management Approa

Divya Joshi, Ajit Kumar Saxena, Durgesh Kumar Jaiswal, Vedpriya Arya et al.
1 citations
ACS ES&T Water
Water Quality and Pollution Assessment
0.82
article

Accessing the Differential Suitability of Ganga River Water for Drinking, Irrigation, and Industrial Use: A First-Time Report Based on Index Analysis and Unsupervised Machine Learning, Highlighting the Need for Region-Specific Water Management Approa

Divya Joshi, Ajit Kumar Saxena, Durgesh Kumar Jaiswal, Vedpriya Arya, Sourav Ghosh, Acharya Balkrishna, Kumud Kannojia, Shelly Singh, Sanyam Taneja, Aswani Nagose
article en
1 citations

Abstract

One-third of India’s population depends on the Ganga River (also known as Ganges), facing progressive degradation due to industrial effluents, rapid urbanization, and agricultural runoff. From Gaumukh (a glacier) to Gangasagar (a delta), this study offers a spatial assessment of the suitability of Ganga water quality for drinking, irrigation, and industrial use across 26 sites. Sector-specific suitability was measured using the Langelier saturation index (LSI), sodium adsorption ratio (SAR), and National Sanitation Foundation Water Quality Index (NSF-WQI). Between the Upper Ganga Stretch (UGS) and the Lower Ganga Stretch (LGS), the quality of Ganga water decreased, with only 15% meeting safe drinking standards, 38.5% being moderately suitable, and 46.2% being unsuitable as per NSFWQI values. While 38% of total water samples were found only moderately suitable for irrigation purpose as per SAR values. Risks to industrial operations (LSI values) were identified that 30.8% of the sites were severely corrosive, while 69.2% of the sites were slightly corrosive. Principal component analysis (PCA) and hierarchical clustering (HC) further defined distinct usability zones and key pollution drivers, underscoring the need for spatially adaptive and sector-specific water management strategies.

ACS ES&T WaterVol. 5(11)
Radiotelevisione Italiana (Italy) (IT), Patanjali Research Foundation (IN), Graphic Era University (IN)
Openalex Percentile: Top 22%
Water Quality and Pollution Assessment
0.82
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