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Sustainability of Groundwater Potential Zones in Coastal Areas of Cuddalore District, Tamil Nadu, South India Using Integrated Approach of Remote Sensing, GIS and AHP Techniques

  • Mahenthiran Sathiyamoorthy
  • , Uma Shankar Masilamani
  • , Aaron Anil Chadee
  • , Sreelakhmi Devi Golla
  • , Mohammed Aldagheiri
  • , Parveen Sihag
  • , Upaka Rathnayake
  • , Jyotendra Patidar
  • , Shivansh Shukla
  • , Aryan Kumar Singh
  • , Bimlesh Kumar
  • , Hector Martin
    • Vellore Institute of Technology
    • The University of the West Indies
    • Vignana Bharathi Institute of Technology
    • Qassim University
    • Chandigarh University
    • Indian Institute of Technology Guwahati
    • Queen's University Belfast

    Research output: Contribution to journalArticlepeer-review

    11 Citations (Scopus)

    Abstract

    This paper aims to identify the groundwater-potential zones in coastal zones of the Cuddalore district by integrating remote sensing, Geographic Information System (GIS), and Analytical Hierarchy Process (AHP) techniques. The thematic layers such as geomorphology, landuse/land cover, lineament density, geology, soil, drainage density, rainfall, and slope are considered for the identification of groundwater-potential zones. The groundwater-potential zones are categorized into five zones as ‘very good’, ‘good’, ‘moderate’, ‘poor’, and ‘very poor’. From the study, it is observed that the rainwater/surface water infiltration to the aquifer is high in the eastern region due to flat topography, and thus, these zones possess ‘very good’ and ‘good’ groundwater-potential zones. The groundwater potential in the central region of the study area possesses moderate infiltration capacity, which is suitable for agricultural practices. Moreover, it is also observed that the groundwater potential is ‘poor’ and ‘very poor’ in the northwest region due to steep slopes in which suitable recharge structures should be constructed in these zones to harvest the rainwater. Eventually, the obtained results are validated with existing bore wells in the study area, and it reveals that a GIS-based integrated method is an effective tool for the exploration of groundwater resources with high accuracy.

    Original languageEnglish
    Article number5339
    JournalSustainability (Switzerland)
    Volume15
    Issue number6
    DOIs
    Publication statusPublished - Mar 2023

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 2 - Zero Hunger
      SDG 2 Zero Hunger
    2. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • GIS
    • analytical hierarchy process
    • groundwater-potential zones
    • remote sensing

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