Remote Sensing and GIS for Groundwater Potential Zones Ghagger Watershed, Himachal Pradesh

  • Lakhwinder Singh Indian Institute of Technology Roorkee, India
  • Deepak Khare Indian Institute of Technology Roorkee, India
  • Nitin Mishra Department of Civil Engineering, Graphic Era (Deemed to be University), Dehradun, India
Keywords: Overlay Analysis, GIS Groundwater,, Raster Overlay, Watershed Analysis

Abstract

Groundwater is often referred to as the ‘hidden’ component of the hydrological cycle because it is not directly observable. However, in many areas, the groundwater resource is huge, and its occurrence and hydrological significance cannot be neglected in water management and planning. Identification of groundwater potential zone is main objective of present work for Ghagger Watershed, Himachal Pradesh. GIS and Remote Sensing is used for identification of groundwater potential zones in the study area. Landsat 8 satellite data is used to generate land use and land cover maps as well as your Geomorphological maps for the study area. Soil maps are used as available. Digital elevation model are acquired using CartoSAT-1 satellite Data. Weighted overlay method of raster dataset for analysis is used to identify groundwater potential zone of study area. The layers landuse, Elevation, slope, geomorphology, rainfall pattern, drainage pattern and soil were considered and the influence and scale values set to different feature according to their importance in groundwater potential areas. After analysis, five zones of groundwater potential are generated as, very poor, poor, moderate, Good and very good were identified for the study area. It estimated is for study area that 49% and 29% part is lies in moderate to good zone of groundwater.

Downloads

Download data is not yet available.

References

Ballukarya, P. N., & Ravi, R. (1999). Characterization of groundwater in the unconfined aquifer of Chennai city, India. Journal of the Geological Society of India, 54(1), 84-91.

Campbell, M. D., & Lehr, J. H. (1973). Water well technology, McGraw-Hill, New York.

Dile, Y. T., & Srinivasan, R. (2014). Evaluation of CFSR climate data for hydrologic prediction in data-scarce watersheds: an application in the Blue Nile River Basin. Journal of the American Water Resources Association, 50(5), 1226–1241.

Fransworth, R. D., Barrett, E. C., & Dhanju, M. C. (1984). Applications of remote sensing to hydrogeology including groundwater hydrology. Technical document in Hydrology, 2nd Edition ,Unesco, 1-122.

Fuka, D. R., Walter, M. T., MacAlister, C., Degaetano, A. T., Steenhuis, T. S., & Easton, Z. M. (2014). Using the climate forecast system reanalysis as weather input data for watershed models. Hydrological Processes, 28(22), 5613-5623.

Jankowski, P. (1995). Integrating geographical information systems and multiple criteria decision-making methods. International Journal of Geographical Information Systems, 9(3), 251-273.

Jat, M. K., Khare, D., & Garg, P. K. (2009). Urbanization and its impacton groundwater: a remote sensing and GIS-based assessment approach. The Environmentalist, 29, 17-32.

Khare, D., Singh, R., Mishra, N., & Shukla, R. (2015). Assessment of surface runoff in a barinallah watershed using distributed parameter model(SWAT Model). Journal of Water Resources and Environment Engineering, 1(1), 31–38.

Li, X., Wang, W., Li, F., & Deng, X. (1999). GIS based map overlay method for comprehensive assessment of road environmental impact. Transportation Research Part D: Transport and Environment, 4(3), 147-158.

Malczewski, J. (1996). A GIS-based approach to multiple criteria group decision-making. International Journal of Geographical Information Systems, 10(8), 955-971.

Raneesh, K. Y., & Thampi, S. G. (2013). A Simple Semi-distributed hydrologic model to estimate groundwater recharge in a humid tropical basin. Water Resources Management, 27(5), 1517-1532.

Sinha, D. D., Mohapatra, S. N., & Pani, P. (2012). Mapping and assessment of groundwater potential in bilrai watershed (Shivpuri District, M.P.)—A Geomatics Approach. Journal of the Indian Society of Remote Sensing, 40(4), 649-668.

Xie, X., & Cui, Y. (2011). Development and test of SWAT for modeling hydrological processes in irrigation districts with paddy rice. Journal of Hydrology, 396(1-2), 61-71.

Published
2018-03-15
Section
Articles