Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 127-132, 2014
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-8/127/2014/
doi:10.5194/isprsarchives-XL-8-127-2014
© Author(s) 2014. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
27 Nov 2014
Geospatial Modelling Approach for Interlinking of Rivers: A Case Study of Vamsadhara and Nagavali River Systems in Srikakulam, Andhra Pradesh
A. Swathi Lakshmi, S. Saran, S. K. Srivastav, and Y. V. N. Krishna Murthy Indian Institute of Remote Sensing, Dehradun, India
Keywords: Geospatial Modelling, Majority Rule Based (MRB) aggregation, Analytical Hierarchy Process (AHP) based Multi-Criteria Decision Making (MCDM), Network Routing, and Interlinking of Rivers Abstract. India is prone to several natural disasters such as floods, droughts, cyclones, landslides and earthquakes on account of its geoclimatic conditions. But the most frequent and prominent disasters are floods and droughts. So to reduce the impact of floods and droughts in India, interlinking of rivers is one of the best solutions to transfer the surplus flood waters to deficit/drought prone areas. Geospatial modelling provides a holistic approach to generate probable interlinking routes of rivers based on existing geoinformatics tools and technologies. In the present study, SRTM DEM and AWiFS datasets coupled with land-use/land -cover, geomorphology, soil and interpolated rainfall surface maps have been used to identify the potential routes in geospatial domain for interlinking of Vamsadhara and Nagavali River Systems in Srikakulam district, Andhra Pradesh. The first order derivatives are derived from DEM and road, railway and drainage networks have been delineated using the satellite data. The inundation map has been prepared using AWiFS derived Normalized Difference Water Index (NDWI). The Drought prone areas were delineated on the satellite image as per the records declared by Revenue Department, Srikakulam. Majority Rule Based (MRB) aggregation technique is performed to optimize the resolution of obtained data in order to retain the spatial variability of the classes. Analytical Hierarchy Process (AHP) based Multi-Criteria Decision Making (MCDM) is implemented to obtain the prioritization of parameters like geomorphology, soil, DEM, slope, and land use/land-cover. A likelihood grid has been generated and all the thematic layers are overlaid to identify the potential grids for routing optimization. To give a better routing map, impedance map has been generated and several other constraints are considered. The implementation of canal construction needs extra cost in some areas. The developed routing map is published into OGC WMS services using open source GeoServer and proposed routing service can be visualized over Bhuvan portal (http://www.bhuvan.nrsc.gov.in/).Thus the obtained routing map of proposed canals focuses on transferring the surplus waters to drought prone areas to solve the problem of water scarcity, to properly utilize the flood waters for irrigational purposes and also help in recharging of groundwater. Similar methodology can be adopted in other interlinking of river systems.
Conference paper (PDF, 1189 KB)


Citation: Swathi Lakshmi, A., Saran, S., Srivastav, S. K., and Krishna Murthy, Y. V. N.: Geospatial Modelling Approach for Interlinking of Rivers: A Case Study of Vamsadhara and Nagavali River Systems in Srikakulam, Andhra Pradesh, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 127-132, doi:10.5194/isprsarchives-XL-8-127-2014, 2014.

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