HR: 0830h
AN: H41A-07    [Abstracts]
TI: Sitting of Water Harvesting Structures Based on Remote Sensing, GIS and GPS
AU: * KESIREDDY, K
EM: kiran_kesireddy@yahoo.com
AF: KIRAN KESIREDDY, Center for Environment, IST, Jawaharlal Nehru Technological University, Kukatpally , Hyderabad, A.P 500072 India
AB: Harvesting of runoff is critically important for supporting rain fed agriculture in semi-arid areas. In the present study, Remote Sensing,GIS, GPS technologies are used to analyze the data to provide information about suitable sites for water harvesting structures in Khamam District of Andhra Pradesh, in India . The layers used for site suitability index for water harvesting structures are the canopy density, slope map, soil map and tank buffers which give the required indices. The suitability Index map is generated by integrating the above layers; slope map is derived from DEM; forest density map generated by classifying the satellite data obtained from IRS 1C/1D LISS-III, soil map is from ICAR on 1:500000 scale, tank buffers created at 500m distance. Different weightages are assigned as per the importance of the particular variable and spatially modeled using overlay analysis to generate the site suitability index map and rescaled to suit the requirement. The final suitable index values are reclassified into various classes like highly suitable to CD/PT's, moderately suitable and least suitable,etc. Stream network is digitized for the entire study area. Integrating the above said layers for generating site suitability map for water harvesting structures like CD/PT's are proposed along with latitude, and longitude, information. A model is developed for the integrated management of water resources considering the spatial thematic layers and attribute data base. The micro level management is carried out to suggest the locations of the water harvesting structures. The types of structures are designed in accordance with decision rules developed in this model. The model arriving out of this study may be used elsewhere under similar environment.
DE: 0933 Remote sensing
SC: Hydrology [H]
MN: 2005 Joint Assembly