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Effects of Climate Change and Human Activities on Surface Runoff in the Luan River Basin
Quantifying the effects of climate change and human activities on runoff changes is the focus of climate change and hydrological research. This paper presents an integrated method employing the Budyko-based Fu model, hydrological modeling, and climate elasticity approaches to separate the effects of...
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Published in: | Advances in meteorology 2015-01, Vol.2015 (2015), p.1-12 |
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description | Quantifying the effects of climate change and human activities on runoff changes is the focus of climate change and hydrological research. This paper presents an integrated method employing the Budyko-based Fu model, hydrological modeling, and climate elasticity approaches to separate the effects of the two driving factors on surface runoff in the Luan River basin, China. The Budyko-based Fu model and the double mass curve method are used to analyze runoff changes during the period 1958~2009. Then two types of hydrological models (the distributed Soil and Water Assessment Tool model and the lumped SIMHYD model) and seven climate elasticity methods (including a nonparametric method and six Budyko-based methods) are applied to estimate the contributions of climate change and human activities to runoff change. The results show that all quantification methods are effective, and the results obtained by the nine methods are generally consistent. During the study period, the effects of climate change on runoff change accounted for 28.3~46.8% while those of human activities contributed with 53.2~71.7%, indicating that both factors have significant effects on the runoff decline in the basin, and that the effects of human activities are relatively stronger than those of climate change. |
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This paper presents an integrated method employing the Budyko-based Fu model, hydrological modeling, and climate elasticity approaches to separate the effects of the two driving factors on surface runoff in the Luan River basin, China. The Budyko-based Fu model and the double mass curve method are used to analyze runoff changes during the period 1958~2009. Then two types of hydrological models (the distributed Soil and Water Assessment Tool model and the lumped SIMHYD model) and seven climate elasticity methods (including a nonparametric method and six Budyko-based methods) are applied to estimate the contributions of climate change and human activities to runoff change. The results show that all quantification methods are effective, and the results obtained by the nine methods are generally consistent. During the study period, the effects of climate change on runoff change accounted for 28.3~46.8% while those of human activities contributed with 53.2~71.7%, indicating that both factors have significant effects on the runoff decline in the basin, and that the effects of human activities are relatively stronger than those of climate change.</description><identifier>ISSN: 1687-9309</identifier><identifier>EISSN: 1687-9317</identifier><identifier>DOI: 10.1155/2015/740239</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Basins ; Climate ; Climate change ; Datasets ; Elasticity ; Freshwater ; Human influences ; Hydrologic cycle ; Hydrology ; Mathematical models ; Methods ; Precipitation ; River basins ; Runoff ; Surface chemistry</subject><ispartof>Advances in meteorology, 2015-01, Vol.2015 (2015), p.1-12</ispartof><rights>Copyright © 2015 Sidong Zeng et al.</rights><rights>Copyright © 2015 Sidong Zeng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c538t-6446c8dad7d46cb20271947b376de09df5863931284aedc4e20ba99e4982a5343</citedby><cites>FETCH-LOGICAL-c538t-6446c8dad7d46cb20271947b376de09df5863931284aedc4e20ba99e4982a5343</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1722855264/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1722855264?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25728,27898,27899,36986,36987,44563,75093</link.rule.ids></links><search><contributor>Hashiguchi, Hiroyuki</contributor><creatorcontrib>Du, Hong</creatorcontrib><creatorcontrib>Sun, Fubao</creatorcontrib><creatorcontrib>Zhan, Chesheng</creatorcontrib><creatorcontrib>Zeng, Sidong</creatorcontrib><creatorcontrib>Wang, Feiyu</creatorcontrib><title>Effects of Climate Change and Human Activities on Surface Runoff in the Luan River Basin</title><title>Advances in meteorology</title><description>Quantifying the effects of climate change and human activities on runoff changes is the focus of climate change and hydrological research. This paper presents an integrated method employing the Budyko-based Fu model, hydrological modeling, and climate elasticity approaches to separate the effects of the two driving factors on surface runoff in the Luan River basin, China. The Budyko-based Fu model and the double mass curve method are used to analyze runoff changes during the period 1958~2009. Then two types of hydrological models (the distributed Soil and Water Assessment Tool model and the lumped SIMHYD model) and seven climate elasticity methods (including a nonparametric method and six Budyko-based methods) are applied to estimate the contributions of climate change and human activities to runoff change. The results show that all quantification methods are effective, and the results obtained by the nine methods are generally consistent. During the study period, the effects of climate change on runoff change accounted for 28.3~46.8% while those of human activities contributed with 53.2~71.7%, indicating that both factors have significant effects on the runoff decline in the basin, and that the effects of human activities are relatively stronger than those of climate change.</description><subject>Basins</subject><subject>Climate</subject><subject>Climate change</subject><subject>Datasets</subject><subject>Elasticity</subject><subject>Freshwater</subject><subject>Human influences</subject><subject>Hydrologic cycle</subject><subject>Hydrology</subject><subject>Mathematical models</subject><subject>Methods</subject><subject>Precipitation</subject><subject>River basins</subject><subject>Runoff</subject><subject>Surface chemistry</subject><issn>1687-9309</issn><issn>1687-9317</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqN0c1rFDEYBvBBLFhqT94l4EWUtfn-ONal2sKC0A_wFrLJm26W2UxNZir-92YcKeJFc0kIPx543rfrXhH8gRAhzigm4kxxTJl51h0TqdXKMKKeP72xedGd1rrH7TAjpFHH3deLGMGPFQ0Rrft0cCOg9c7le0AuB3Q5HVxG535Mj2lM0FhGN1OJzgO6nvIQI0oZjTtAm6nB6_QIBX10NeWX3VF0fYXT3_dJd_fp4nZ9udp8-Xy1Pt-svGB6XEnOpdfBBRXaY0sxVcRwtWVKBsAmRKElazWo5g6C50Dx1hkD3GjqBOPspLtacsPg9vahtArlhx1csr8-hnJvXRmT78EypzyRUXLNONdgjBGaaOOCoEzQgFvW2yXroQzfJqijPaTqoe9dhmGqliiF20S5NP9BqZJKUTKnvvmL7oep5DaUWVEtBJVzj_eL8mWotUB86kKwnfdr5_3aZb9Nv1v0LuXgvqd_4NcLhkYguj-woBob9hOifalJ</recordid><startdate>20150101</startdate><enddate>20150101</enddate><creator>Du, Hong</creator><creator>Sun, Fubao</creator><creator>Zhan, Chesheng</creator><creator>Zeng, Sidong</creator><creator>Wang, Feiyu</creator><general>Hindawi Publishing Corporation</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PCBAR</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope><scope>SOI</scope><scope>DOA</scope></search><sort><creationdate>20150101</creationdate><title>Effects of Climate Change and Human Activities on Surface Runoff in the Luan River Basin</title><author>Du, Hong ; Sun, Fubao ; Zhan, Chesheng ; Zeng, Sidong ; Wang, Feiyu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c538t-6446c8dad7d46cb20271947b376de09df5863931284aedc4e20ba99e4982a5343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Basins</topic><topic>Climate</topic><topic>Climate change</topic><topic>Datasets</topic><topic>Elasticity</topic><topic>Freshwater</topic><topic>Human influences</topic><topic>Hydrologic cycle</topic><topic>Hydrology</topic><topic>Mathematical models</topic><topic>Methods</topic><topic>Precipitation</topic><topic>River basins</topic><topic>Runoff</topic><topic>Surface chemistry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Du, Hong</creatorcontrib><creatorcontrib>Sun, Fubao</creatorcontrib><creatorcontrib>Zhan, Chesheng</creatorcontrib><creatorcontrib>Zeng, Sidong</creatorcontrib><creatorcontrib>Wang, Feiyu</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Advances in meteorology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Du, Hong</au><au>Sun, Fubao</au><au>Zhan, Chesheng</au><au>Zeng, Sidong</au><au>Wang, Feiyu</au><au>Hashiguchi, Hiroyuki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effects of Climate Change and Human Activities on Surface Runoff in the Luan River Basin</atitle><jtitle>Advances in meteorology</jtitle><date>2015-01-01</date><risdate>2015</risdate><volume>2015</volume><issue>2015</issue><spage>1</spage><epage>12</epage><pages>1-12</pages><issn>1687-9309</issn><eissn>1687-9317</eissn><abstract>Quantifying the effects of climate change and human activities on runoff changes is the focus of climate change and hydrological research. This paper presents an integrated method employing the Budyko-based Fu model, hydrological modeling, and climate elasticity approaches to separate the effects of the two driving factors on surface runoff in the Luan River basin, China. The Budyko-based Fu model and the double mass curve method are used to analyze runoff changes during the period 1958~2009. Then two types of hydrological models (the distributed Soil and Water Assessment Tool model and the lumped SIMHYD model) and seven climate elasticity methods (including a nonparametric method and six Budyko-based methods) are applied to estimate the contributions of climate change and human activities to runoff change. The results show that all quantification methods are effective, and the results obtained by the nine methods are generally consistent. During the study period, the effects of climate change on runoff change accounted for 28.3~46.8% while those of human activities contributed with 53.2~71.7%, indicating that both factors have significant effects on the runoff decline in the basin, and that the effects of human activities are relatively stronger than those of climate change.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><doi>10.1155/2015/740239</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Basins Climate Climate change Datasets Elasticity Freshwater Human influences Hydrologic cycle Hydrology Mathematical models Methods Precipitation River basins Runoff Surface chemistry |
title | Effects of Climate Change and Human Activities on Surface Runoff in the Luan River Basin |
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