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        <dc:title>An Assessment of Climate Change Impacts on Streamflows in the Musi Catchment, India</dc:title>
        <dc:creator>Nune, R</dc:creator>
        <dc:creator>George, B</dc:creator>
        <dc:creator>Malano, H</dc:creator>
        <dc:creator>Nawarathna, B</dc:creator>
        <dc:creator>Davidson, B</dc:creator>
        <dc:creator>Ryu, D</dc:creator>
        <dc:subject>Agriculture-Farming, Production, Technology, Economics</dc:subject>
        <dc:subject>Climate Change</dc:subject>
        <dc:description>The long-term impacts of climate change on water resources are expected to be considerable in&#13;
Southern India especially in the semi-arid regions. The effects of the changes on precipitation and&#13;
temperature are expected to alter the hydrology of catchments and ultimately water security. A complicating&#13;
factor in dealing with climate change from a water resource management perspective in India is the current&#13;
government policies that promote watershed development (WSD), a policy that promotes the capture of&#13;
runoff to increase groundwater recharge and irrigation development. In this paper the aim is to quantify the&#13;
impacts climate change and WSD will have on the hydrologic behavior of the Musi catchment Andhra&#13;
Pradesh.&#13;
Global Climate Model (GCM) predictions of future climate are too coarse for hydrological modelling and fail&#13;
to account for the most important influence on the monsoon rainfall patterns over India. In order to increase&#13;
the spatial resolution of the models, a dynamic downscaling approach was used in this research. Three&#13;
climate simulations corresponding to the IPCC-SRES A1B scenario were downscaled for the period 1961-&#13;
2098 using “Providing REgional Climates for Impact Studies” (PRECIS) regional climate modelling system.&#13;
These simulations were based on three versions of the HadCM3 global climate model that showed realistic&#13;
results for the Indian summer monsoon.&#13;
The hydrology of the catchment was modelled using the SWAT hydrologic model. The model was set up for&#13;
the entire Musi catchment in the Krishna Basin for which the model calibration and validation was carried&#13;
out at the Osman Sagar and Himayat Sagar gauging stations. Monthly and annual inflows were used to carry&#13;
out the model calibration. The model calibration and validation yielded Nash-Sutcliffe coefficients ranging&#13;
between 0.65 and 0.75, which indicate a good model performance.&#13;
The downscaled climate data was then used as forcing data in the model to carry out simulations for all three&#13;
versions of the climate projection data ((Q0, Q1 and Q14). An analysis of flows at different time slices shows&#13;
that stream flows decline in the near future (2011-40) and then an increasing trend towards the end of the&#13;
century. Under the Q1 scenario, annual stream flows show a systematic decline over the period of analysis.&#13;
The Q14 scenario shows an increase in stream flows over the next few decades followed by a decline towards&#13;
the end of the century. Potential evapotranspiration is predicted to increase for all the climate scenarios. The&#13;
reservoir component option available in SWAT was used to assess the impact of watershed development&#13;
structures in the catchment and the analysis shows that stream flows have been declining due to the growth&#13;
and impact of these structures in the catchment.</dc:description>
        <dc:date>2013</dc:date>
        <dc:type>Conference or Workshop Item</dc:type>
        <dc:type>PeerReviewed</dc:type>
        <dc:format>application/pdf</dc:format>
        <dc:language>en</dc:language>
        <dc:identifier>http://oar.icrisat.org/7438/1/AnAssesment_CP_ICMS_2013.pdf</dc:identifier>
        <dc:identifier>  Nune, R and George, B and Malano, H and Nawarathna, B and Davidson, B and Ryu, D  (2013) An Assessment of Climate Change Impacts on Streamflows in the Musi Catchment, India.  In: An Assessment of Climate Change Impacts on Streamflows in the Musi Catchment, India, 1–6 December 2013, Adelaide, Australia.     </dc:identifier></oai_dc:dc>
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