Subscribe

Subscribe to our Newsletter and get informed about new publication regulary and special discounts for subscribers!

ILNS > ILNS Volume 78 > Remote Sensing and GIS for Integrated Modeling and...
< Back to Volume

Remote Sensing and GIS for Integrated Modeling and Analysis for Mapping of Groundwater Potential Zones in Sarada River Basin, Visakhapatnam, India

Full Text PDF

Abstract:

The study aimed at identifying and mapping groundwater potential zones in agricultural intensive Sarada river basin using Remote sensing and GIS technology. Zones of water potentiality were mapped integrating various information layers in GIS environment which eventually helped weighted modeling to arrive at the final outcome. Hydrogeomorphic units such as alluvial plains, valley fills, shallow weathered pediplains and deeply weathered pediplainswere mapped. Eventually water potential zones in the basin were mapped and categorised them in to ‘excellent’, ‘good’, ‘moderate’ and ‘poor’. The study highlighted the effective use of Remote sensing and GIS technology for integrated analysis, identification and mapping of the groundwater potential zones in the Sarada river basin.

Info:

Periodical:
International Letters of Natural Sciences (Volume 78)
Pages:
1-13
Citation:
N. R. Kinthada and M. K. Gurram, "Remote Sensing and GIS for Integrated Modeling and Analysis for Mapping of Groundwater Potential Zones in Sarada River Basin, Visakhapatnam, India", International Letters of Natural Sciences, Vol. 78, pp. 1-13, 2020
Online since:
April 2020
Export:
Distribution:
References:

[1] Gold, D.P. (1980). Structural Geology, Chapter 14 in Remote Sensing in Geology, edit by Siegal, B. S. and Gillespie, A. R. John Wiley, New York. pp.410-483.

[2] Nooka Ratnam K., Murali Krishna G., Amminedu E. and Venkateswara Rao V. (2013). Remote Sensing and GIS in the Geomorphometric Analysis of Micro-Watersheds for Hydrological Scenario Assessment and Characterisation - A Study on Sarada River Basin, Visakhapatnam District, India, International Journal of Geomatics and Geosciences, Vol. 4, No. 1, pp.195-212.

DOI: https://doi.org/10.4172/2329-6755.1000146

[3] Nooka Ratnam K., Murali Krishna G., Amminedu E. and Venkateswara Rao V. (2014). Land Use/Land Cover and NDVI Analysis for Monitoring the Health of Micro-watersheds of Sarada River Basin, Visakhapatnam District, India, Journal of Geology & Geosciences, Vol. 3, issue 2, pp.146-153.

DOI: https://doi.org/10.4172/2329-6755.1000146

[4] Mangrulkar, A.D., Kondawar, V.K. and Krishnamurty, Y.V.N. (1993). Geo-environmental Characteristics and Identification of Hydro-potential Zones in Tansa and Bhatsi Reservoir Catchments, pp.23-33.

[5] Prudhvi Raju, K.N. and Vaidyanathan, R. (1984). Photohydrogeomorphology of the Sarada River Basin in Visakhapatnam District, A.P. J. Assoc. Expl. Geophysicists, Vol. 4(3), pp.31-39.

[6] Ravi Prakash, S. and Mishra, D. (1993). Identification of groundwater Prospective Zones by Using Remote Sensing and Geoelectrical Methods in and around Saidnagar Area, Dakor Block, Jalaun District, Uttar Pradesh, Photonirvachak, Journal of the Indian Society of Remote Sensing, Vol. 21, No.4.

DOI: https://doi.org/10.1007/bf03016721

[7] Ray and Raina (1973). Hydro-Geomorphological Units coupled with Geological Parameters in Kotipally Catchment Area of Hyderabad. Indian Journal of Remote Sensing.

[8] Sahai, Baldev, Kalubarme, M.H. and Jadav, K.L., (1983). Ecological Studies in Ukai Command Area, International Journal of Remote Sensing, 6(3), p.pp.401-409.

DOI: https://doi.org/10.1080/01431168508948462

[9] Srivastava, P. K. and Bhattcharya, A. K. (2000). Delineation of Groundwater potential zones in a hard rock terrain of Bargarh district, Orissa using IRS Data. Photonirvachak, Journal of the Indian Society of Remote Sensing, Vol. 17, pp.35-42.

DOI: https://doi.org/10.1007/bf02989897

[10] Subba Rao, N. (2000). Important considerations for the success of rainwater harvesting. Current Science, Vol. 79, p.7.

[11] Waters, P., D., Greenbaum, P. Smart and H. Osmaston (1990). Applications of Remote Sensing to Groundwater Hydrology, Remote Sensing Reviews, Vol. 4, no. 2, pp.223-264.

DOI: https://doi.org/10.1080/02757259009532107
Show More Hide
Cited By:
This article has no citations.