SWAT based analysis of multiple GCM models for predicting the long-term effects on various hydrometeorological components of a dam-to-dam river basin
This study explored how the water balance components of the Middle Tapi Basin (MTB) might alter between 2010 and 2100 as an outcome of climate change. We used an approach were Statistically downscaled future predicted data for temperature and rainfall for five different Global circulation models wer...
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description | This study explored how the water balance components of the Middle Tapi Basin (MTB) might alter between 2010 and 2100 as an outcome of climate change. We used an approach were Statistically downscaled future predicted data for temperature and rainfall for five different Global circulation models were employed under two Representative Concentration Pathways (RCP 4.5 and RCP 8.5). The baseline and future scenarios’ monthly analyses of multiple water balance indicators also showed that RCP 4.5 and RCP 8.5 will see an increase in maximum temperature of 5.2% and 9.5%, respectively, by the end of the century. The baseline period contribution from monsoonal rainfall and streamflow was also 89.3% and 90.6%, but in future scenarios, the figures are likely to reduce to 75.2% and 57.8% for RCP 4.5 and 70.8% and 54.7% for RCP 8.5. While the average inflow estimates at the Ukai dam tend to rise by 19.2% and 46.8% till the distant future scenario for RCP 4.5 and RCP 8.5, respectively. In future scenarios, the percentage of groundwater flow and surface runoff contributions will be lesser due to the higher evapotranspiration rate and revaporisation of water to the root zone. Even though the monsoonal rainfall tends to reduce, the flow duration curves for the future scenarios exhibited a consistent increase in water availability compared to their respective historical counterparts, possibly due to more frequent and severe rainfall events. |
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We used an approach were Statistically downscaled future predicted data for temperature and rainfall for five different Global circulation models were employed under two Representative Concentration Pathways (RCP 4.5 and RCP 8.5). The baseline and future scenarios’ monthly analyses of multiple water balance indicators also showed that RCP 4.5 and RCP 8.5 will see an increase in maximum temperature of 5.2% and 9.5%, respectively, by the end of the century. The baseline period contribution from monsoonal rainfall and streamflow was also 89.3% and 90.6%, but in future scenarios, the figures are likely to reduce to 75.2% and 57.8% for RCP 4.5 and 70.8% and 54.7% for RCP 8.5. While the average inflow estimates at the Ukai dam tend to rise by 19.2% and 46.8% till the distant future scenario for RCP 4.5 and RCP 8.5, respectively. In future scenarios, the percentage of groundwater flow and surface runoff contributions will be lesser due to the higher evapotranspiration rate and revaporisation of water to the root zone. Even though the monsoonal rainfall tends to reduce, the flow duration curves for the future scenarios exhibited a consistent increase in water availability compared to their respective historical counterparts, possibly due to more frequent and severe rainfall events.</description><identifier>ISSN: 1436-3240</identifier><identifier>EISSN: 1436-3259</identifier><identifier>DOI: 10.1007/s00477-024-02658-7</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aquatic Pollution ; Basins ; Chemistry and Earth Sciences ; Climate change ; Computational Intelligence ; Computer Science ; Dams ; Earth and Environmental Science ; Earth Sciences ; Environment ; Environmental research ; Evapotranspiration ; Floods ; Flow duration ; Flow duration curves ; Groundwater ; Groundwater flow ; Groundwater runoff ; Hydrology ; Hydrometeorology ; Long-term effects ; Math. Appl. in Environmental Science ; Original Paper ; Physics ; Precipitation ; Probability Theory and Stochastic Processes ; Rainfall ; Risk assessment ; River basins ; Root zone ; Statistics for Engineering ; Stream discharge ; Stream flow ; Surface runoff ; Waste Water Technology ; Water availability ; Water balance ; Water Management ; Water Pollution Control ; Water resources management ; Water shortages ; Water supply ; Watersheds</subject><ispartof>Stochastic environmental research and risk assessment, 2024-05, Vol.38 (5), p.1831-1854</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-bdc2d44579776f8ba0acc9ca9ce813bdaee4dbd95fc5d181fcbd6a2ec27a1653</cites><orcidid>0000-0002-4725-5348</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00477-024-02658-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00477-024-02658-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Sharma, Ankur</creatorcontrib><creatorcontrib>Khare, Ruchi</creatorcontrib><creatorcontrib>Choudhary, Mahendra Kumar</creatorcontrib><title>SWAT based analysis of multiple GCM models for predicting the long-term effects on various hydrometeorological components of a dam-to-dam river basin</title><title>Stochastic environmental research and risk assessment</title><addtitle>Stoch Environ Res Risk Assess</addtitle><description>This study explored how the water balance components of the Middle Tapi Basin (MTB) might alter between 2010 and 2100 as an outcome of climate change. We used an approach were Statistically downscaled future predicted data for temperature and rainfall for five different Global circulation models were employed under two Representative Concentration Pathways (RCP 4.5 and RCP 8.5). The baseline and future scenarios’ monthly analyses of multiple water balance indicators also showed that RCP 4.5 and RCP 8.5 will see an increase in maximum temperature of 5.2% and 9.5%, respectively, by the end of the century. The baseline period contribution from monsoonal rainfall and streamflow was also 89.3% and 90.6%, but in future scenarios, the figures are likely to reduce to 75.2% and 57.8% for RCP 4.5 and 70.8% and 54.7% for RCP 8.5. While the average inflow estimates at the Ukai dam tend to rise by 19.2% and 46.8% till the distant future scenario for RCP 4.5 and RCP 8.5, respectively. In future scenarios, the percentage of groundwater flow and surface runoff contributions will be lesser due to the higher evapotranspiration rate and revaporisation of water to the root zone. Even though the monsoonal rainfall tends to reduce, the flow duration curves for the future scenarios exhibited a consistent increase in water availability compared to their respective historical counterparts, possibly due to more frequent and severe rainfall events.</description><subject>Aquatic Pollution</subject><subject>Basins</subject><subject>Chemistry and Earth Sciences</subject><subject>Climate change</subject><subject>Computational Intelligence</subject><subject>Computer Science</subject><subject>Dams</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environment</subject><subject>Environmental research</subject><subject>Evapotranspiration</subject><subject>Floods</subject><subject>Flow duration</subject><subject>Flow duration curves</subject><subject>Groundwater</subject><subject>Groundwater flow</subject><subject>Groundwater runoff</subject><subject>Hydrology</subject><subject>Hydrometeorology</subject><subject>Long-term effects</subject><subject>Math. Appl. in Environmental Science</subject><subject>Original Paper</subject><subject>Physics</subject><subject>Precipitation</subject><subject>Probability Theory and Stochastic Processes</subject><subject>Rainfall</subject><subject>Risk assessment</subject><subject>River basins</subject><subject>Root zone</subject><subject>Statistics for Engineering</subject><subject>Stream discharge</subject><subject>Stream flow</subject><subject>Surface runoff</subject><subject>Waste Water Technology</subject><subject>Water availability</subject><subject>Water balance</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><subject>Water resources management</subject><subject>Water shortages</subject><subject>Water supply</subject><subject>Watersheds</subject><issn>1436-3240</issn><issn>1436-3259</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kMFKAzEQhhdRsFZfwFPAczTZzW66x1K0ChUPFjyGbDJpU3Y3a5IW-iC-r2krevMwzBz-b2b4suyWkntKCH8IhDDOMclZqqqcYH6WjSgrKlzkZX3-OzNymV2FsCGEcl6yUfb1_jFdokYG0Ej2st0HG5AzqNu20Q4toPnsFXVOQxuQcR4NHrRV0fYrFNeAWtevcATfITAGVExsj3bSW7cNaL3X3nUQwXnXupVVskXKdYProY_HKxJp2eHocGrI2x34wyu2v84ujGwD3Pz0cbZ8elzOnvHibf4ymy6wyjmJuNEq14yVvOa8MpNGEqlUrWStYEKLRksAphtdl0aVmk6oUY2uZA6JlrQqi3F2d1o7ePe5hRDFxm19shBEQVhNyooUVUrlp5TyLgQPRgzedtLvBSXiYF-c7ItkXxztC56g4gSFFO5X4P9W_0N9AyZQi9A</recordid><startdate>20240501</startdate><enddate>20240501</enddate><creator>Sharma, Ankur</creator><creator>Khare, Ruchi</creator><creator>Choudhary, Mahendra Kumar</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-4725-5348</orcidid></search><sort><creationdate>20240501</creationdate><title>SWAT based analysis of multiple GCM models for predicting the long-term effects on various hydrometeorological components of a dam-to-dam river basin</title><author>Sharma, Ankur ; Khare, Ruchi ; Choudhary, Mahendra Kumar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-bdc2d44579776f8ba0acc9ca9ce813bdaee4dbd95fc5d181fcbd6a2ec27a1653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aquatic Pollution</topic><topic>Basins</topic><topic>Chemistry and Earth Sciences</topic><topic>Climate change</topic><topic>Computational Intelligence</topic><topic>Computer Science</topic><topic>Dams</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Environment</topic><topic>Environmental research</topic><topic>Evapotranspiration</topic><topic>Floods</topic><topic>Flow duration</topic><topic>Flow duration curves</topic><topic>Groundwater</topic><topic>Groundwater flow</topic><topic>Groundwater runoff</topic><topic>Hydrology</topic><topic>Hydrometeorology</topic><topic>Long-term effects</topic><topic>Math. Appl. in Environmental Science</topic><topic>Original Paper</topic><topic>Physics</topic><topic>Precipitation</topic><topic>Probability Theory and Stochastic Processes</topic><topic>Rainfall</topic><topic>Risk assessment</topic><topic>River basins</topic><topic>Root zone</topic><topic>Statistics for Engineering</topic><topic>Stream discharge</topic><topic>Stream flow</topic><topic>Surface runoff</topic><topic>Waste Water Technology</topic><topic>Water availability</topic><topic>Water balance</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><topic>Water resources management</topic><topic>Water shortages</topic><topic>Water supply</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sharma, Ankur</creatorcontrib><creatorcontrib>Khare, Ruchi</creatorcontrib><creatorcontrib>Choudhary, Mahendra Kumar</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Stochastic environmental research and risk assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sharma, Ankur</au><au>Khare, Ruchi</au><au>Choudhary, Mahendra Kumar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SWAT based analysis of multiple GCM models for predicting the long-term effects on various hydrometeorological components of a dam-to-dam river basin</atitle><jtitle>Stochastic environmental research and risk assessment</jtitle><stitle>Stoch Environ Res Risk Assess</stitle><date>2024-05-01</date><risdate>2024</risdate><volume>38</volume><issue>5</issue><spage>1831</spage><epage>1854</epage><pages>1831-1854</pages><issn>1436-3240</issn><eissn>1436-3259</eissn><abstract>This study explored how the water balance components of the Middle Tapi Basin (MTB) might alter between 2010 and 2100 as an outcome of climate change. We used an approach were Statistically downscaled future predicted data for temperature and rainfall for five different Global circulation models were employed under two Representative Concentration Pathways (RCP 4.5 and RCP 8.5). The baseline and future scenarios’ monthly analyses of multiple water balance indicators also showed that RCP 4.5 and RCP 8.5 will see an increase in maximum temperature of 5.2% and 9.5%, respectively, by the end of the century. The baseline period contribution from monsoonal rainfall and streamflow was also 89.3% and 90.6%, but in future scenarios, the figures are likely to reduce to 75.2% and 57.8% for RCP 4.5 and 70.8% and 54.7% for RCP 8.5. While the average inflow estimates at the Ukai dam tend to rise by 19.2% and 46.8% till the distant future scenario for RCP 4.5 and RCP 8.5, respectively. In future scenarios, the percentage of groundwater flow and surface runoff contributions will be lesser due to the higher evapotranspiration rate and revaporisation of water to the root zone. Even though the monsoonal rainfall tends to reduce, the flow duration curves for the future scenarios exhibited a consistent increase in water availability compared to their respective historical counterparts, possibly due to more frequent and severe rainfall events.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00477-024-02658-7</doi><tpages>24</tpages><orcidid>https://orcid.org/0000-0002-4725-5348</orcidid></addata></record> |
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subjects | Aquatic Pollution Basins Chemistry and Earth Sciences Climate change Computational Intelligence Computer Science Dams Earth and Environmental Science Earth Sciences Environment Environmental research Evapotranspiration Floods Flow duration Flow duration curves Groundwater Groundwater flow Groundwater runoff Hydrology Hydrometeorology Long-term effects Math. Appl. in Environmental Science Original Paper Physics Precipitation Probability Theory and Stochastic Processes Rainfall Risk assessment River basins Root zone Statistics for Engineering Stream discharge Stream flow Surface runoff Waste Water Technology Water availability Water balance Water Management Water Pollution Control Water resources management Water shortages Water supply Watersheds |
title | SWAT based analysis of multiple GCM models for predicting the long-term effects on various hydrometeorological components of a dam-to-dam river basin |
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