Water quality assessment of river Ujh in district Udhampur, J&K for drinking and agricultural purposes

The present study reveals the water quality of River Ujh, which is originating from South of the Kaplas in Seuj Dhar and flowing through the district Udhampur. The water of this river is used for drinking and agricultural purposes. The objective of this study is to assess the river water's potability using WQI and HPI, and its suitability for irrigation through the following parameters such as Na%, SAR, MAR, Kelly’s Ratio, and Wilcox diagram. The water samples were collected from 22 sites (labelled as UD1-UD7) and analysed using fourteen parameters i.e., pH, EC, TDS, TA (as CaCO3), TH (as CaCO3), Ca2+, Mg2+, Na+, K+, Cl−, NO3−, SO42−, PO43−, and F− to determine the Water Quality Index (WQI). The Heavy-metal Pollution Index (HPI) was determined by analyzing the following heavy-metals: As, Cr, Hg, Pb and Cd. Pre-monsoon WQI revealed that the water from location UD4–UD7 was unfit for drinking due to excessive fluoride levels (4.31 ± 2.45 mg/L), while post-monsoon dilution reduced fluoride levels to 0.86 ± 0.41 mg/L, improving water quality except UD5 reflecting poor water quality status. Piper plots and Durov diagrams highlighted the dominance of Ca2⁺ > Mg2⁺ > Na⁺ + K⁺ and Cl⁻ > HCO₃⁻ > SO₄2⁻ in both the seasons (pre-monsoon and post-monsoon). The Na⁺/(Na⁺ + Ca2⁺) and Cl⁻/(Cl⁻ + HCO₃⁻) ratio indicates that rock-water interaction influences water chemistry, while post-monsoon samples show precipitation dominance due to rainfall and snowfall. During pre-monsoon season, Pearson’s correlation showed negative relationships between pH and most parameters (pH, EC, TDS, TA (as CaCO3), TH (as CaCO3), Ca2+, Mg2+, Cl−, NO3−, SO42−, PO43−, and F−) while post-monsoon correlations were predominantly positive except for PO₄3⁻ and Na⁺. As per HPI, the water samples from from all the locations fall under unfit category for drinking purpose during pre-monsoon season whereas, during post-monsoon season 72% of water samples fall under poor to very poor categories. River water analyzed for agricultural purposes indicates that SAR falls below 10 in both the seasons, making the water to fall in the excellent category for irrigation purpose. The MAR values along with Kelly's Ratio and Wilcox diagram for all the water samples from all the locations analyzed and plotted supports the suitability of water use for agricultural purposes.

Authors

Institutions

Publication Details

Journal
Discover Geoscience
Published
2025-06-17
DOI
https://doi.org/10.1007/s44288-025-00158-x
Citations
1
Primary Topic
Water Quality and Pollution Assessment
Type
article
Field-Weighted Citation Impact
0.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Water quality assessment of river Ujh in district Udhampur, J&K for drinking and agricultural purposes

Pankaj Mehta, Ajay Kumar Taloor, Preeti Verma
1 citations
Discover Geoscience
Water Quality and Pollution Assessment
0.82
article

Water quality assessment of river Ujh in district Udhampur, J&K for drinking and agricultural purposes

Pankaj Mehta, Ajay Kumar Taloor, Preeti Verma
article en
1 citations

Abstract

The present study reveals the water quality of River Ujh, which is originating from South of the Kaplas in Seuj Dhar and flowing through the district Udhampur. The water of this river is used for drinking and agricultural purposes. The objective of this study is to assess the river water's potability using WQI and HPI, and its suitability for irrigation through the following parameters such as Na%, SAR, MAR, Kelly’s Ratio, and Wilcox diagram. The water samples were collected from 22 sites (labelled as UD1-UD7) and analysed using fourteen parameters i.e., pH, EC, TDS, TA (as CaCO3), TH (as CaCO3), Ca2+, Mg2+, Na+, K+, Cl−, NO3−, SO42−, PO43−, and F− to determine the Water Quality Index (WQI). The Heavy-metal Pollution Index (HPI) was determined by analyzing the following heavy-metals: As, Cr, Hg, Pb and Cd. Pre-monsoon WQI revealed that the water from location UD4–UD7 was unfit for drinking due to excessive fluoride levels (4.31 ± 2.45 mg/L), while post-monsoon dilution reduced fluoride levels to 0.86 ± 0.41 mg/L, improving water quality except UD5 reflecting poor water quality status. Piper plots and Durov diagrams highlighted the dominance of Ca2⁺ > Mg2⁺ > Na⁺ + K⁺ and Cl⁻ > HCO₃⁻ > SO₄2⁻ in both the seasons (pre-monsoon and post-monsoon). The Na⁺/(Na⁺ + Ca2⁺) and Cl⁻/(Cl⁻ + HCO₃⁻) ratio indicates that rock-water interaction influences water chemistry, while post-monsoon samples show precipitation dominance due to rainfall and snowfall. During pre-monsoon season, Pearson’s correlation showed negative relationships between pH and most parameters (pH, EC, TDS, TA (as CaCO3), TH (as CaCO3), Ca2+, Mg2+, Cl−, NO3−, SO42−, PO43−, and F−) while post-monsoon correlations were predominantly positive except for PO₄3⁻ and Na⁺. As per HPI, the water samples from from all the locations fall under unfit category for drinking purpose during pre-monsoon season whereas, during post-monsoon season 72% of water samples fall under poor to very poor categories. River water analyzed for agricultural purposes indicates that SAR falls below 10 in both the seasons, making the water to fall in the excellent category for irrigation purpose. The MAR values along with Kelly's Ratio and Wilcox diagram for all the water samples from all the locations analyzed and plotted supports the suitability of water use for agricultural purposes.

Discover GeoscienceVol. 3(1)
University of Jammu (IN), Central University of Jammu (IN)
Clean water and sanitation, Zero hunger
Openalex Percentile: Top 26%
Water Quality and Pollution Assessment
0.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.