Skip to content
Research Article Open access CC BY 4.0

Identification of Groundwater Potential Zones in Wakawali Watershed Using Remote Sensing and Geographic Information System (GIS)

Sagar B. Gavit, H. N. Bhange, B. L. Ayare, S. T. Patil, P. R. Kolhe

International Journal of Environment and Climate Change · pp. 333–346 · Published 10 Aug 2024

10.9734/ijecc/2024/v14i84354

Abstract

Groundwater is a crucial source of fresh water that is stored below the Earth's surface in the saturated zone, filling gaps and spaces in soil and geological formations.  Groundwater is a hidden natural resource that cannot be directly detected, therefore mapping of this resource can be challenging task. In the present study, remote sensing and geographic information systems techniques were collectively used to categorize groundwater potential zones in the Wakawali watershed of Ratnagiri District.  In this study, SRTM DEM of 30 m resolution and conventional data was used to generate thematic layers such as slope, drainage density, lithology, geomorphology, soil and rainfall. Weightage percentages to each thematic layer were assigned according to their relative importance to groundwater potentiality using AHP technique. Further, integrated using “weighted sum” tool in Arc-GIS software. The outcomes of the groundwater potential map of the study area were classified into five zones viz., very poor, poor, moderately poor, good, very good contributing to 3.18%, 17.68%, 30.86%, 31.18% and 17.11% respectively. The study conclude that the remote sensing and Geographic Information System is a significant tool for land and water resource studies as well as preparation of water resources development plans, so as to prepare economically viable plans.

DEM groundwater potential zone GIS remote sensing

References (17)

  1. 1 Assessment of Groundwater Potential in a Semi-Arid Region of India Using Remote Sensing, GIS and MCDM Techniques [DOI]
  2. 2 Identification of Groundwater Potential Zones Using RS, GIS and AHP Techniques: A Case Study in a Part of Deccan Volcanic Province (DVP), Maharashtra, India [DOI]
  3. 3 Competition for water for the food system [DOI]
  4. 4 Remote sensing and GIS for artificial recharge study, runoff estimation and planning in Ayyar basin, Tamil Nadu, India [DOI]
  5. 5 Horton, R.E. 1945: Erosional development of streams and their drainage basins: hydrophysical approach to quantitative morphology. Bulletin of the Geological Society of America 56, 2 75-3 70 [DOI]
  6. 6 Identification of Groundwater Potential Zoneusing Remote Sensing and GIS Technique
  7. 7 Applications of Remote Sensing and GIS Technologies in Groundwater Hydrology: Past, Present and Future.
  8. 8 Integration of Hydrogeological Factors for Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques [DOI]
  9. 9 Identification of groundwater potential zones in southern India using geospatial and decision-making approaches [DOI]
  10. 10 Comparative evaluation of models to estimate direct runoff volume from an agricultural watershed [DOI]
  11. 11 Groundwater Potential Zoning in Tikamgarh District of Bundelkhand Using Remote Sensing and GIS [DOI]
  12. 12 Delineation of Groundwater Potential Zones using Remote Sensing and GIS Techniques: A Case Study of Sarada Gedda Sub Watershed [DOI]
  13. 13 Household water security: An overview
  14. 14 A Review of Integrated RS and GIS Technique in Groundwater Potential Zone Mapping
  15. 15 Nutrient content, quality and yield of yam bean as affected by different levels of inorganic and organic manure in coastal region of Maharashtra [DOI]
  16. 16 Analytic Hierarchy Process [DOI]
  17. 17 D. K. Todd 1980. Groundwater Hydrology, 2nd edition. xiii + 535 pp., numerous figs and tables. New York, Chichester, Brisbane, Toronto: John Wiley. ISBN 0 471 87616 X. Price £13.00. [DOI]

Cited by 0

No indexed citations yet.

Related research

Article metrics

Real usage data collected on this platform.

29

Page views

0

PDF downloads

5

Outbound clicks

0

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.