DATA BASE GENERATION FOR VARIABLE INFILTRATION CAPACITY (VIC) HYDROLOGIC BASED MODEL - REMOTE SENSING AND GIS APPROACH
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Date
2005
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Indira Gandhi Krishi Vishwavidyalaya, Raipur
Abstract
Hydrologists 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.
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