DATA BASE GENERATION FOR VARIABLE INFILTRATION CAPACITY (VIC) HYDROLOGIC BASED MODEL - REMOTE SENSING AND GIS APPROACH

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dc.contributor.advisorTripathi, M.P.
dc.contributor.advisorSahu, R.K.
dc.contributor.advisorPandey, V.K.
dc.contributor.advisorSingh, A.P.
dc.contributor.advisorTuteja, S.S.
dc.contributor.authorKant, Shashi
dc.date.accessioned2017-02-17T08:15:54Z
dc.date.available2017-02-17T08:15:54Z
dc.date.issued2005
dc.description.abstractHydrologists need hydrological information for watershed management planning and for making numerous analyses like predictions and forecasting. At the same time, the advent of satellite-based remote sensing and GIS along with computer simulation techniques provides a powerful tool for hydrological modeling. The Variable Infiltration Capacity (VIC) model is one of the semi-distributed, grid-based land surface models that parameterize the dominant hydro-metrological processes by considering the sub-grid variability. In the present research soil and vegetation and topographic datasets for the VIC-2L model were generated for India and part of its sub continent with the geographic extent of the region is from 65.51° to 100.65°E longitude to 2.45° to 37.45°N latitude The datasets are typically based on recent information acquired from USGS GTOPO 30 elevation data, MM5V3 Terrain soil texture data, land use/cover data of central south Asia (propriety of IIRS) and the LDAS project information. The digital maps of soil showing its textural classes were derived using the MM5 V3 terrain data for the two layer depths viz. 0-30cm and 30-100cm. The 45-class land cover data of south central Asia at 1km resolution was recoded to UMD vegetation classes in order to extract the LDAS information. The significant soil and vegetation parameter for the VIC model were attributed to the derived soil and land cover data for the corresponding raster data generation at the selected model grid resolution of 10x10 km in Albers conical equal area projection. The DEM for the entire region was extracted from USGS GTOPO 30 data and the corresponding per cent slope map was derived at model grid resolution. The generated data sets are defined for the 12187500 km2 area having 121875 grid-cells. The ASCII files of the datasets serve as the input for the VIC-2L model.en_US
dc.identifier.urihttp://krishikosh.egranth.ac.in/handle/1/5810001429
dc.keywordsDATA BASE GENERATION, VARIABLE INFILTRATION CAPACITY (VIC), HYDROLOGIC BASED MODEL , REMOTE SENSING, GIS APPROACHen_US
dc.language.isoenen_US
dc.pages129 p.en_US
dc.publisherIndira Gandhi Krishi Vishwavidyalaya, Raipuren_US
dc.subFisheriesen_US
dc.subject---en_US
dc.themeInland Fisheriesen_US
dc.these.typeM.Scen_US
dc.titleDATA BASE GENERATION FOR VARIABLE INFILTRATION CAPACITY (VIC) HYDROLOGIC BASED MODEL - REMOTE SENSING AND GIS APPROACHen_US
dc.typeThesisen_US
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