Abstract: This paper investigates the potential of CROPWAT to model the crop water assessment using field data. A dataset consisting of 2007 to 2011 each for maximum temperature, minimum temperature, relative humidity, sunshine hour, wind speed and rainfall data taken from CSSRI (Central Soil Salinity Research Institute), Karnal, Haryana and MC (Meteorological Centre), Dehradun, Uttarakhand for the plain and hilly region were used for this analysis. Besides, information on crop and soil were collected from different literature review. Results obtained by CROPWAT model were compared between plain and hilly region for rice and wheat crop to meet the irrigation demand of crops. Results were found that reference evapotranspiration of rice and wheat crop is more for the plain region as compared to the hilly region while crop evapotranspiration of rice crop is more for the hilly region as compared to plain region and for wheat crop it is more for the plain region as compared to the hilly region. Irrig

• Publication Date: 25-May-2014
• DOI: 10.15224/978-1-63248-028-6-03-59
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Abstract: In large reservoirs, the water column alters in-situ stress state along an existing fault or fracture. The load of the water column is often so intense that it can significantly change the stress state leading to induced seismicity. Various empirical and calculative techniques are in place to predict the probable occurrence and magnitude of such seismic variations. This paper utilizes the Relevance Vector Machine (RVM) approach for prediction of Magnitude (M) of reservoir induced earthquake. RVM is developed in probabilistic framework. It produces sparse solution. RVM uses two input parameters namely depth of the reservoir and the other being a comprehensive parameter representing reservoir geometry for prediction of M.

• Publication Date: 25-May-2014
• DOI: 10.15224/978-1-63248-028-6-03-60
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