A grid-based rainfall-runoff model for flood simulation including paddy fields
A grid-based, KIneMatic wave STOrm Runoff Model (KIMSTORM) is described. The model adopts the single flow-path algorithm and routes the water balance during the storm period. Manning’s roughness coefficient adjustment function of the paddy cell was applied to simulate the flood mitigation effect of...
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| Veröffentlicht in: | Paddy and water environment 2011-09, Vol.9 (3), p.275-290 |
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| creator | Jung, In-Kyun Park, Jong-Yoon Park, Geun-Ae Lee, Mi-Seon Kim, Seong-Joon |
| description | A grid-based, KIneMatic wave STOrm Runoff Model (KIMSTORM) is described. The model adopts the single flow-path algorithm and routes the water balance during the storm period. Manning’s roughness coefficient adjustment function of the paddy cell was applied to simulate the flood mitigation effect of the paddy fields for the grid-based, distributed rainfall-runoff modeling. The model was tested in 2296 km
2
dam watershed in South Korea using six typhoon storm events occurring between 2000 and 2007 with 500 m spatial resolution, and the results were tested through the automatic model evaluation functions in the model. The average values of the Nash–Sutcliffe model efficiency (ME), the volume conservation index (VCI), the relative error of peak runoff rate (EQ
p
), and the absolute error of peak runoff (ET
p
) were 0.974, 1.016, 0.019, and 0.45 h for calibrated storm events and 0.975, 0.951, 0.029, and 0.50 h for verified storm events, respectively. In the simulation of the flood mitigation effect of the paddy fields, the average values of the percentage changes for peak runoff, total runoff volume, and time to peak runoff were only −1.95, −0.93, and 0.19%, respectively. |
| doi_str_mv | 10.1007/s10333-010-0232-4 |
| format | Article |
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2
dam watershed in South Korea using six typhoon storm events occurring between 2000 and 2007 with 500 m spatial resolution, and the results were tested through the automatic model evaluation functions in the model. The average values of the Nash–Sutcliffe model efficiency (ME), the volume conservation index (VCI), the relative error of peak runoff rate (EQ
p
), and the absolute error of peak runoff (ET
p
) were 0.974, 1.016, 0.019, and 0.45 h for calibrated storm events and 0.975, 0.951, 0.029, and 0.50 h for verified storm events, respectively. In the simulation of the flood mitigation effect of the paddy fields, the average values of the percentage changes for peak runoff, total runoff volume, and time to peak runoff were only −1.95, −0.93, and 0.19%, respectively.</description><identifier>ISSN: 1611-2490</identifier><identifier>EISSN: 1611-2504</identifier><identifier>DOI: 10.1007/s10333-010-0232-4</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Agriculture ; Biomedical and Life Sciences ; Ecotoxicology ; Flood control ; Floods ; Geoecology/Natural Processes ; Hydrogeology ; Hydrologic modeling ; Hydrology/Water Resources ; Kinematic waves ; Life Sciences ; Rain ; Rainfall-runoff relationships ; Rice ; Roughness coefficient ; Runoff ; Runoff volume ; Soil Science & Conservation ; Storm runoff ; Typhoons ; Water balance</subject><ispartof>Paddy and water environment, 2011-09, Vol.9 (3), p.275-290</ispartof><rights>Springer-Verlag 2010</rights><rights>Springer-Verlag 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c413t-fce0267188966f0846b425eea613d3e28762687d8e2b3e3142e96aedb6c9d8ad3</citedby><cites>FETCH-LOGICAL-c413t-fce0267188966f0846b425eea613d3e28762687d8e2b3e3142e96aedb6c9d8ad3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10333-010-0232-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10333-010-0232-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Jung, In-Kyun</creatorcontrib><creatorcontrib>Park, Jong-Yoon</creatorcontrib><creatorcontrib>Park, Geun-Ae</creatorcontrib><creatorcontrib>Lee, Mi-Seon</creatorcontrib><creatorcontrib>Kim, Seong-Joon</creatorcontrib><title>A grid-based rainfall-runoff model for flood simulation including paddy fields</title><title>Paddy and water environment</title><addtitle>Paddy Water Environ</addtitle><description>A grid-based, KIneMatic wave STOrm Runoff Model (KIMSTORM) is described. The model adopts the single flow-path algorithm and routes the water balance during the storm period. Manning’s roughness coefficient adjustment function of the paddy cell was applied to simulate the flood mitigation effect of the paddy fields for the grid-based, distributed rainfall-runoff modeling. The model was tested in 2296 km
2
dam watershed in South Korea using six typhoon storm events occurring between 2000 and 2007 with 500 m spatial resolution, and the results were tested through the automatic model evaluation functions in the model. The average values of the Nash–Sutcliffe model efficiency (ME), the volume conservation index (VCI), the relative error of peak runoff rate (EQ
p
), and the absolute error of peak runoff (ET
p
) were 0.974, 1.016, 0.019, and 0.45 h for calibrated storm events and 0.975, 0.951, 0.029, and 0.50 h for verified storm events, respectively. In the simulation of the flood mitigation effect of the paddy fields, the average values of the percentage changes for peak runoff, total runoff volume, and time to peak runoff were only −1.95, −0.93, and 0.19%, respectively.</description><subject>Agriculture</subject><subject>Biomedical and Life Sciences</subject><subject>Ecotoxicology</subject><subject>Flood control</subject><subject>Floods</subject><subject>Geoecology/Natural Processes</subject><subject>Hydrogeology</subject><subject>Hydrologic modeling</subject><subject>Hydrology/Water Resources</subject><subject>Kinematic waves</subject><subject>Life Sciences</subject><subject>Rain</subject><subject>Rainfall-runoff relationships</subject><subject>Rice</subject><subject>Roughness coefficient</subject><subject>Runoff</subject><subject>Runoff volume</subject><subject>Soil Science & Conservation</subject><subject>Storm runoff</subject><subject>Typhoons</subject><subject>Water balance</subject><issn>1611-2490</issn><issn>1611-2504</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kEtLAzEUhYMoWKs_wF1w4yqaVzOZZSm-oOhG1yEzuSkpmUlNOov-e6eMIgiu7ll853D5ELpm9I5RWt0XRoUQhDJKKBecyBM0Y4oxwhdUnv5kWdNzdFHKllJeScFm6HWJNzk40tgCDmcbem9jJHnok_e4Sw4i9iljH1NyuIRuiHYfUo9D38bBhX6Dd9a5A_YBoiuX6GzsF7j6vnP08fjwvnom67enl9VyTVrJxJ74FihXFdO6VspTLVUj-QLAKiacAK4rxZWunAbeCBBMcqiVBdeotnbaOjFHt9PuLqfPAcredKG0EKPtIQ3F6LpmUi2kHMmbP-Q2DbkfnzNas0pUVNYjxCaozamUDN7scuhsPhhGzdGvmfya0a85-jXHYT51ysj2G8i_w_-XvgDZMXx-</recordid><startdate>20110901</startdate><enddate>20110901</enddate><creator>Jung, In-Kyun</creator><creator>Park, Jong-Yoon</creator><creator>Park, Geun-Ae</creator><creator>Lee, Mi-Seon</creator><creator>Kim, Seong-Joon</creator><general>Springer-Verlag</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7ST</scope><scope>7UA</scope><scope>7X2</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H95</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>M0K</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>7TG</scope><scope>H97</scope><scope>KL.</scope></search><sort><creationdate>20110901</creationdate><title>A grid-based rainfall-runoff model for flood simulation including paddy fields</title><author>Jung, In-Kyun ; Park, Jong-Yoon ; Park, Geun-Ae ; Lee, Mi-Seon ; Kim, Seong-Joon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c413t-fce0267188966f0846b425eea613d3e28762687d8e2b3e3142e96aedb6c9d8ad3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Agriculture</topic><topic>Biomedical and Life Sciences</topic><topic>Ecotoxicology</topic><topic>Flood control</topic><topic>Floods</topic><topic>Geoecology/Natural Processes</topic><topic>Hydrogeology</topic><topic>Hydrologic modeling</topic><topic>Hydrology/Water Resources</topic><topic>Kinematic waves</topic><topic>Life Sciences</topic><topic>Rain</topic><topic>Rainfall-runoff relationships</topic><topic>Rice</topic><topic>Roughness coefficient</topic><topic>Runoff</topic><topic>Runoff volume</topic><topic>Soil Science & Conservation</topic><topic>Storm runoff</topic><topic>Typhoons</topic><topic>Water balance</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jung, In-Kyun</creatorcontrib><creatorcontrib>Park, Jong-Yoon</creatorcontrib><creatorcontrib>Park, Geun-Ae</creatorcontrib><creatorcontrib>Lee, Mi-Seon</creatorcontrib><creatorcontrib>Kim, Seong-Joon</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Agricultural Science Database</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>Paddy and water environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jung, In-Kyun</au><au>Park, Jong-Yoon</au><au>Park, Geun-Ae</au><au>Lee, Mi-Seon</au><au>Kim, Seong-Joon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A grid-based rainfall-runoff model for flood simulation including paddy fields</atitle><jtitle>Paddy and water environment</jtitle><stitle>Paddy Water Environ</stitle><date>2011-09-01</date><risdate>2011</risdate><volume>9</volume><issue>3</issue><spage>275</spage><epage>290</epage><pages>275-290</pages><issn>1611-2490</issn><eissn>1611-2504</eissn><abstract>A grid-based, KIneMatic wave STOrm Runoff Model (KIMSTORM) is described. The model adopts the single flow-path algorithm and routes the water balance during the storm period. Manning’s roughness coefficient adjustment function of the paddy cell was applied to simulate the flood mitigation effect of the paddy fields for the grid-based, distributed rainfall-runoff modeling. The model was tested in 2296 km
2
dam watershed in South Korea using six typhoon storm events occurring between 2000 and 2007 with 500 m spatial resolution, and the results were tested through the automatic model evaluation functions in the model. The average values of the Nash–Sutcliffe model efficiency (ME), the volume conservation index (VCI), the relative error of peak runoff rate (EQ
p
), and the absolute error of peak runoff (ET
p
) were 0.974, 1.016, 0.019, and 0.45 h for calibrated storm events and 0.975, 0.951, 0.029, and 0.50 h for verified storm events, respectively. In the simulation of the flood mitigation effect of the paddy fields, the average values of the percentage changes for peak runoff, total runoff volume, and time to peak runoff were only −1.95, −0.93, and 0.19%, respectively.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><doi>10.1007/s10333-010-0232-4</doi><tpages>16</tpages></addata></record> |
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| subjects | Agriculture Biomedical and Life Sciences Ecotoxicology Flood control Floods Geoecology/Natural Processes Hydrogeology Hydrologic modeling Hydrology/Water Resources Kinematic waves Life Sciences Rain Rainfall-runoff relationships Rice Roughness coefficient Runoff Runoff volume Soil Science & Conservation Storm runoff Typhoons Water balance |
| title | A grid-based rainfall-runoff model for flood simulation including paddy fields |
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