Use of earth observation images and GIS techniques for groundwater exploration in hard rock terrain

P. Mohana, S. Muthusamy

Article ID: 904
Vol 4, Issue 2, 2021, Article identifier:27-35

VIEWS - 1392 (Abstract) 244 (PDF)

Abstract


It increased the demands on ground-water supplies that prolonged drought and improper maintenance of water resources. So it is necessary to evaluate ground-water resources in the hard rock terrain. In recent years, Remote-Sensing methods have been increasingly recognized as a means of obtaining crucial geoscientific data for both regional and site-specific investigations. This work aims to develop and apply integrated methods combining the information obtained by geo-hydrological field mapping and those obtained by analyzing multi-source remotely sensed data in a GIS environment for better understanding the Groundwater condition in hard rock terrain. In this study, digitally enhanced Landsat ETM+ data was used to extract information on geology, geomorphology. The Hill-Shading techniques are applied to SRTM DEM data to enhance terrain perspective views, and extract Geomorphological features and morphologically defined structures through the means of lineament analysis. A combination of Spectral information from Landsat ETM+ data plus spatial information from SRTM-DEM data is used to address the groundwater potential of alluvium, colluvium, and fractured crystalline rocks in the study area. The spatial distribution of groundwater potential zones shows regional patterns related to lithologies, lineaments, drainage systems, and landforms. High-yielding wells and springs are often related to large lineaments and corresponding structural features such as dykes. The results show that the combination of remote sensing, GIS, traditional fieldwork, and models provide a powerful tool for water resources assessment and management, and groundwater exploration planning.


Keywords


Remote Sensing; GIS; ETM+; SRTM; Groundwater Potential Zones

Full Text:

PDF

References


Nag SK, Kundu A. Delineation of groundwater potential zones in hard rock terrain in Kashipur block, Purulia District, west Bengal using geospatial techniques. International Journal of Waste Resources 2016; 6(1): 1000201.

Kavitha M, Naidu, Mohana P. Delinational of groundwater potential zones of Thurinjapuram watershed using geospatial technology. Indian Journal of Science and Technology 2011; 4(11): 1470–1476.

Saraf AK, Choudhury PR. Integrated remote sensing and GIS for groundwater exploration and identification of artificial recharge sites. International Journal of Remote Sensing 1998; 19(10):1825–1841.

Tahir AG, Garba ML, Hassan C. Lineaments analysis to identify favourable areas for groundwater in Kano City, Northwestern Nigeria. Journal of Environment and Earth Science 2015; 5(2): 1–6.

Mondal MS, Pandey AC, Garg RD. Groundwater prospect evaluation based on hydrogeomorphological mapping using high resolution satellite images: A case study in Uttarakahand. Journal of the Indian Society of Remote Sensing 2007; 36(1): 69–76.

Drury SA, Peart RJ, Deller MEA. Hydrogeological potential of major fractures in Eritrea. Journal of African Earth Sciences 2001; 32(2): 163–177.

Mogaji KA, Aboyehi OS, Omosuyi GO. Mapping of lineaments for groundwater targeting in the basement complex region of Ondo State, Nigeria, using remote sensing and GIS Techniques. International Journal of Water Resources and Environemental Engineering 2011; 3(7): 150–160.

Murugesan B, Thirunavukkarasu R, Senapathi V, et al. Application of remote sensing and GIS analysis for groundwater potential zone in kodaikanal Taluka, South India. Earth Science 2012; 7(1): 65–75.

Waikar ML, Nilawar AP. Identification of groundwater potential zone using remote sensing and GIS technique. International Journal of Innovative Research in Science, Engineering and Technology 2014; 3(5): 66–75.

Ravindran KV, Jeyaram A. Groundwater prospects of shahbad tehsil, baran district, eastern rajasthan: A remote sensing approach. Journal of the Indian Society of Remote Sensing 1997; 25: 239–246.

Sameena M, Ranganna G, Krishnamurtty J, et al. Targeting Groundwater Zones and Artificial Recharge sets using Remote Sensing and GIS techniques. Abs. 12th Convention IGC 2000. p. 113–114.

Solomon S. Applications for groundwater potential assessment in Eritrea. Remote Sensing and GIS 2003.




DOI: http://dx.doi.org/10.24294/jgc.v4i2.904

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License

This site is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.