Vol. 4, Issue 2, Part C (2018)

Abstract
The average annual rainfall of the Nalgonda district is 751 mm, which ranges from 2.0mm in February to 171 mm in July. July is the wettest months of the year contributing about 23% of annual rainfall. The mean seasonal rainfall is 562 mm in southwest monsoon(June-September), 139 mm in northeast monsoon( Oct-Dec), 7 mm rainfall in Winter (Jan-Feb) and 43 mm in summer (March – May). The percentage distribution of rainfall, season-wise, is 74.8% in southwest monsoon, 18.5% in northeast monsoon, 0.93% in winter and 5.73% in summer. Groundwater is one among the most precious natural resources. The occurrence and movement of groundwater is directly controlled by the local geological formations. Major volume of water is located in oceans, glaciers and in deeper subsurface openings (Ralph, 1983). Optimal management of natural resources has become a critical requirement in these days of increased industrial development and growing population natural resource management therefore has to be the key pin for an effective strategy for rural development. Where, Water is the prime natural resource for human beings and hence precious natural asset. The easy and cheaply available ground water is the most important resource for domestic, industrial and agricultural uses. However, rapid growth of Population, vagaries in monsoon, expansion in irrigation, increased industrialization etc. have resulted into enhanced demand for ground water in various parts of the country. As a result, the ground water prospecting, exploration and management have become a big task in India in general, and certain drought prone areas in particular. Hence, in the current scenario, it has become crucial not only to find ground water potential zones, but also to monitor and conserve this important natural resource. Hydro-geomorphological mapping is carried out at Mothkuri Mandal in Nalgonda District, Telangana State using integrated remote sensing and GIS based techniques. The study is to assess the natural resource potential and their spatial variability of geology, hydro-geomorphology, surface water resources, ground water resources, at study area using high resolution satellite data (IRS-P6-LISS-III) generation of natural resource information on 1:50,000 scale. Data is analyzed using GIS and preparation of action plans were suggested based on the geo-hydrological characteristics and agricultural needs.