<mets:mets OBJID="eprint_7438" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mets="http://www.loc.gov/METS/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mets:metsHdr CREATEDATE="2023-07-05T12:46:54Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>OAR@ICRISAT</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_7438_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>An Assessment of Climate Change Impacts on Streamflows in the Musi Catchment, India</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">R</mods:namePart><mods:namePart type="family">Nune</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">B</mods:namePart><mods:namePart type="family">George</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">H</mods:namePart><mods:namePart type="family">Malano</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">B</mods:namePart><mods:namePart type="family">Nawarathna</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">B</mods:namePart><mods:namePart type="family">Davidson</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">D</mods:namePart><mods:namePart type="family">Ryu</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>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.</mods:abstract><mods:classification authority="lcc">Agriculture-Farming, Production, Technology, Economics</mods:classification><mods:classification authority="lcc">Climate Change</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2013</mods:dateIssued></mods:originInfo><mods:genre>Conference or Workshop Item</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_7438"><mets:rightsMD ID="rights_eprint_7438_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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