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Assessment of groundwater vulnerability using water quality index and solute transport model in Poiney sub-basin of south India.
Madhavan, Shanmugam; Kolanuvada, Srinivasa Raju; Sampath, Vinothkumar; Roy, Priyadarsi Debajyoti; Moorthy, Prabhakaran; Natarajan, Logesh; Chokkalingam, Lakshumanan.
Afiliação
  • Madhavan S; Institute of Remote Sensing (IRS), CEG, Anna University, Chennai, 600025, India.
  • Kolanuvada SR; Institute of Remote Sensing (IRS), CEG, Anna University, Chennai, 600025, India. ksrajuirs@gmail.com.
  • Sampath V; Institute of Remote Sensing (IRS), CEG, Anna University, Chennai, 600025, India.
  • Roy PD; Instituto de Geología, Universidad Nacional Autónoma de México (UNAM), Ciudad Universitaria, 04510, Ciudad de Mexico, CP, Mexico.
  • Moorthy P; Centre for Disaster Management and Coastal Research, Department of Remote Sensing, Bharathidasan University, Tiruchirappalli, 620023, India.
  • Natarajan L; Centre for Disaster Management and Coastal Research, Department of Remote Sensing, Bharathidasan University, Tiruchirappalli, 620023, India.
  • Chokkalingam L; Centre for Disaster Management and Coastal Research, Department of Remote Sensing, Bharathidasan University, Tiruchirappalli, 620023, India.
Environ Monit Assess ; 195(2): 272, 2023 Jan 06.
Article em En | MEDLINE | ID: mdl-36607446
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.
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Texto completo: 1 Temas: ECOS / Aspectos_gerais Bases de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Água Subterrânea Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: Environ Monit Assess Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Índia

Texto completo: 1 Temas: ECOS / Aspectos_gerais Bases de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Água Subterrânea Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: Environ Monit Assess Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Índia