Assessment of groundwater vulnerability using water quality index and solute transport model in Poiney sub-basin of south India

This paper demarcated the most vulnerable regions within the Poiney sub-basin (Tamil Nadu state in India) with respect to the groundwater quality. An index-based vulnerability assessment was carried out by measuring the physico-chemical variables such as pH, electrical conductivity, total dissolved...

Full description

Saved in:
Bibliographic Details
Published in:Environmental monitoring and assessment 2023-02, Vol.195 (2), p.272-272, Article 272
Main Authors: Madhavan, Shanmugam, Kolanuvada, Srinivasa Raju, Sampath, Vinothkumar, Roy, Priyadarsi Debajyoti, Moorthy, Prabhakaran, Natarajan, Logesh, Chokkalingam, Lakshumanan
Format: Article
Language:English
Subjects:
Algorithms
Anthropogenic factors
Aquifers
Atmospheric Protection/Air Quality Control/Air Pollution
Bicarbonates
Contaminants
Dissolved solids
Earth and Environmental Science
Ecology
Ecotoxicology
Electrical conductivity
Electrical resistivity
Environment
Environmental Management
Environmental monitoring
Environmental science
Fluorides
Geographic information systems
Groundwater
Groundwater quality
Land use
Leather
Magnesium
Monitoring/Environmental Analysis
Monsoons
Pollution transport
Quality assessment
Quality standards
Remote sensing
Sodium
Solute transport
Solutes
Sulfates
Tanneries
Tanning industry
Total dissolved solids
Transport
Vulnerability
Water quality
Wind
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper demarcated the most vulnerable regions within the Poiney sub-basin (Tamil Nadu state in India) with respect to the groundwater quality. An index-based vulnerability assessment was carried out by measuring the physico-chemical variables such as pH, electrical conductivity, total dissolved solids, magnesium, sodium, chloride, sulphate, bicarbonate and fluoride in the pre-monsoon and post-monsoon samples. Water quality index varied across the sub-basin due to differences in the water quality induced by anthropogenic activities related to land use practices and presence of industries. The MT3D engine coupled with visual MODFLOW identified that sulphate released from tanneries and leather factories is the main effluent contaminating the groundwater. Model reveals that both the flow and contaminant transport is towards southeast with maximum and minimum calculated head of 201.82 mg/l and 265.92 mg/l and calculated sulphate concentration of 394.40 mg/l and 46.79 mg/l respectively.
ISSN:0167-6369
1573-2959
DOI:10.1007/s10661-022-10883-2