Mapping Ground Water Quality in Sri Muktsar Sahib District, Punjab Using Geo-statistics

Systematic survey was carried out to assess the ground water quality of Muktsar district of Punjab using geo-statistics during post monsoon season (December–February) 2013–14. Geo-referenced ground water samples were collected in regular grid in post monsoon season; and analysed for pH, electrical conductivity (EC), total hardness (Ca2++Mg2+), sodium (Na+) and potassium (K+), carbonate and bi-carbonate (CO32-, HCO3-), chloride (Cl-) and sulphate (SO4–2). Residual Sodium Carbonate (RSC) and Sodium Adsorption Ratio (SAR) were calculated using standard formula. Ground water quality was evaluated on the basis of EC and RSC. Spatial distribution of ground water quality parameters and overall, ground water quality was assessed and mapped though geostatistical approach. The best semi-variogram model for every parameter varied based on the root mean square error (RMSE) criterion. Salinity hazard in ground water was prominent in the eastern and southern part of the district and 41.1% of total geographic area (TGA) of the district was irrigated with highly to extremely saline ground water (EC>4 and >6 dS m-1, respectively and RSC<2.5 me l-1). Non saline non sodic ground water (EC<2 dS m-1 and RSC<2.5 me l-1) was available only in 10.6% of TGA whereas, slight to moderate sodic ground water prevailed in a very small area (1.6% of TGA of the district). Mixing of canal water with ground water, selection of appropriate crops, salt tolerant varieties may be alternative measures for rational use of water and preventing further deterioration.

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Publication Details

Journal
International Journal of Economic Plants
Published
2025-09-23
DOI
https://doi.org/10.23910/2/2025.6282
Primary Topic
Groundwater and Watershed Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Mapping Ground Water Quality in Sri Muktsar Sahib District, Punjab Using Geo-statistics

Debjani Kundu, Anil K. Sood
International Journal of Economic Plants
Groundwater and Watershed Analysis
article

Mapping Ground Water Quality in Sri Muktsar Sahib District, Punjab Using Geo-statistics

Debjani Kundu, Anil K. Sood
article en

Abstract

Systematic survey was carried out to assess the ground water quality of Muktsar district of Punjab using geo-statistics during post monsoon season (December–February) 2013–14. Geo-referenced ground water samples were collected in regular grid in post monsoon season; and analysed for pH, electrical conductivity (EC), total hardness (Ca2++Mg2+), sodium (Na+) and potassium (K+), carbonate and bi-carbonate (CO32-, HCO3-), chloride (Cl-) and sulphate (SO4–2). Residual Sodium Carbonate (RSC) and Sodium Adsorption Ratio (SAR) were calculated using standard formula. Ground water quality was evaluated on the basis of EC and RSC. Spatial distribution of ground water quality parameters and overall, ground water quality was assessed and mapped though geostatistical approach. The best semi-variogram model for every parameter varied based on the root mean square error (RMSE) criterion. Salinity hazard in ground water was prominent in the eastern and southern part of the district and 41.1% of total geographic area (TGA) of the district was irrigated with highly to extremely saline ground water (EC>4 and >6 dS m-1, respectively and RSC<2.5 me l-1). Non saline non sodic ground water (EC<2 dS m-1 and RSC<2.5 me l-1) was available only in 10.6% of TGA whereas, slight to moderate sodic ground water prevailed in a very small area (1.6% of TGA of the district). Mixing of canal water with ground water, selection of appropriate crops, salt tolerant varieties may be alternative measures for rational use of water and preventing further deterioration.

International Journal of Economic PlantsVol. 12(Sep, 5)
Bidhan Chandra Krishi Viswavidyalaya (IN), Punjab Remote Sensing Centre (IN)
U.S. Department of Agriculture, Agrisearch, University of Oxford
Openalex Percentile: Top 76%
Groundwater and Watershed Analysis
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Mapping Ground Water Quality in Sri Muktsar Sahib District, Punjab Using Geo-statistics — Debjani Kundu, Anil K. Sood · International Journal of Economic Plants (2025) | TGRS Research Map | TGRS