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Kshipra Sub Basin - Asian Development Bank

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Support to the National Water Mission NAPCC<br />

Appendix 3 <strong>Kshipra</strong> <strong>Sub</strong> <strong>Basin</strong><br />

are directly modelled by SWAT using these input data. This approach results in major advantages,<br />

such as:<br />

o Un-gauged watersheds with no monitoring data (e.g. stream gauge data) can be successfully<br />

modelled.<br />

o The relative impact of alternative input data (e.g. changes in management practices, climate,<br />

vegetation, etc.) on water quantity, quality or other variables of interest can be quantified.<br />

o The model uses readily available inputs. The minimum data required to make a SWAT run are<br />

the commonly available data from local government agencies.<br />

o The model is computationally efficient. Simulation of very large basins or a variety of<br />

management strategies can be performed without excessive investment of time or money.<br />

o The model enables users to study impacts on account of human interventions which makes it<br />

very suitable for scenario generation.<br />

o The model is also capable of incorporating the climate change conditions to quantify the<br />

impacts of change.<br />

o The model has gained a wide global acceptability. Currently 720 peer reviewed papers have<br />

been published based on the SWAT model (http://swatmodel.tamu.edu ). The current rate of<br />

publication is about 120 peer reviewed papers per year. There are more than 90 countries<br />

using the model for practical applications and at the least, more than 200 graduate students all<br />

over the world are using it as part of their M.S. or Ph.D. research program. In the U.S alone,<br />

more than 25 universities have adopted the model in graduate level teaching classes.<br />

182. SWAT is a public domain model actively supported by the Grassland, Soil and Water Research<br />

Laboratory (Temple, TX, USA) of the USDA Agricultural Research Service.<br />

3. SWAT Model Setup<br />

183. Spatial data used in setting up the SWAT model included:<br />

o Digital Elevation Model: SRTM, of 90 m resolution 42<br />

o Drainage Network – Hydroshed 43<br />

o Soil maps and associated soil characteristics (source: FAO Global soil) 44<br />

o Land use: Global Map of Land Use/Land Cover Areas (GMLULCA), IWMI‘s Global Map of<br />

Irrigated Areas (GMIA) (source: IWMI) 45<br />

184. Hydro-meteorological data pertaining to the river basin required for modelling include daily<br />

rainfall, maximum and minimum temperature, solar radiation, relative humidity and wind speed. These<br />

weather data were available as per following details:<br />

o IMD gridded weather data (1971–2004) – 5 years of weather data was used as<br />

warmup/setup period for the <strong>Kshipra</strong> basin model thus outputs were available from 1976<br />

to 2004<br />

o Climate Change: PRECIS Regional Climate Model outputs for Baseline (1961–1990, BL) ,<br />

near term (2021-2050, MC) and long term or end-century (2071-2098, EC) for A1B IPCC<br />

SRES scenario 46 (Q14 QUMP ensemble)<br />

185. Mapping the <strong>Kshipra</strong> <strong>Basin</strong>: The ArcSWAT (Winchell et al., 2007 47 ) interface was used to preprocess<br />

the spatial data for the <strong>Kshipra</strong> river system. Figure 48 shows the DEM derived from the<br />

42 http://srtm.csi.cgiar.org<br />

43 http://hydrosheds.cr.usgs.gov/<br />

44 http://www.lib.berkeley.edu/EART/fao.html<br />

45 http://www.iwmigiam.org/info/main/index.asp<br />

46 http://www.tropmet.res.in/static_page.php?page_id=51<br />

47 Winchell, M., Srinivasan, R., Di Luzio, M., Arnold, J., 2007. ArcSWAT interface for SWAT2005. User's Guide.<br />

BRC, TAES, USDA-ARS, Temple, TX<br />

82

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