Development of User Friendly Software for Prediction of Monthly Runoff and Sediment Yield of Upper Damodar Valley Catchment, India

摘要

The accuracy of any hydrological prediction tool depends largely on the accuracy of the datasets used and the methodology adopted. User-friendly software RSP_(Dvc) is developed in this study to predict the monthly runoff and sediment yield generated from ungauged microwatersheds of Upper Damodar Valley Catchment (UDVC). First year monthly records of thirty one microwatersheds and fifteen subwatersheds were selected for modelling from a total of 716 microwatersheds in the catchment. Different soil attributes (particle size distribution, organic matter content, apparent density), topographic attributes (primary, secondary and compound), geomorphologic attributes (basin, relief and network indices) and vegetation attributes (NDVI) were extracted from the selected microwatersheds in GIS and RS platforms. Principal Component Analysis (PCA) was applied to select the most significant input variables. Multiple regression equations were developed from different combinations of the selected inputs added in hierarchy with monthly rainfall. User friendly software was developed in the study based on the best performing regression model for each hierarchy. The developed software has options for either using the default values of selected soil, topographic, geomorphologic and vegetation attributes of all the microwatersheds stored in its database or using updated values based on user input along with the monthly rainfall input given by the user for prediction of monthly runoff and sediment yield for any microwatershed in the catchment. This software could serve as a handy-tool to the users for quick estimations of runoff and sediment yield generated from microwatersheds of UDVC catchment.