Assessing groundwater quality in Nand Samand catchment, Rajasthan, India: a GIS-based multi indices approach for drinking and irrigation water suitability

Author:

Dimple 12ORCID,Singh Pradeep Kumar2,Kothari Mahesh2,Yadav Kamal Kishore3,Bhakar Sita Ram2,Rajput Jitendra4ORCID,Anvesha 5

Affiliation:

1. a College of Agriculture, Kishangarhbas, SKNAU, Jobner, Rajasthan 303329, India

2. b Soil and Water Engineering Department, College of Technology and Engineering, MPUAT, Udaipur, Rajasthan 313001, India

3. c Department of Agricultural Chemistry and Soil Science, Rajasthan College of Agriculture, MPUAT, Udaipur, Rajasthan 313001, India

4. d Division of Agricultural Engineering, ICAR-Indian Agricultural Research Institute-110012, New Delhi, India

5. e Department of Soil Science and Agricultural Chemistry, School of Agriculture, Lovely Professional University, Punjab, India

Abstract

Abstract Consistently monitoring groundwater quality (GWQ) is essential to reduce the risk of geochemical contaminants and ensure its suitability for agriculture and human consumption. The current investigation aims to assess groundwater (GW) acceptability in the Nand Samand catchment (NSC), utilizing the water quality index (WQI) and irrigation water quality indices (IWQIs) for domestic and irrigation purposes. To achieve this, GW samples were collected from 95 open wells which were located spatially in the catchment, during the pre-monsoon (PRM) and post-monsoon (POM) seasons of 2019 and 2020, and subsequently analysed for 11 physico-chemical parameters. Electrical conductivity (EC) varied from 1.25 to 6.61 dS/m and 0.58 to 7.42 dS/m during the PRM and POM seasons, respectively. Total dissolved solids of the study area ranged between 180 and 1,180 (27%) to 1,180 and 2,180 (62%) during PRM 1,180 (63%) to 1,180–2,180 (31%) during POM, respectively. The study also computed the ‘sodium adsorption ratio’ (SAR) and ‘residual sodium carbonate’ (RSC) to estimate GW's appropriateness for agriculture, finding it suitable in most locations due to its balanced composition. Based on WQI, varying percentages of samples were classified as ‘good’ and ‘poor’ for potable water quality in both seasons.

Publisher

IWA Publishing

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