Coupled hydrodynamic modelling approach to assess land use change induced flood characteristics
MIKE 11 rainfall-runoff model and MIKE 21 overland flow model were successfully coupled in the MIKE FLOOD platform for flood simulation in Gin catchment (932 km 2 ) of Sri Lanka to assess land use change induced changes in flood discharge. MIKE 11 Nedbør-Afstrømings-Model (NAM) rainfall-runoff simul...
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| Veröffentlicht in: | Environmental monitoring and assessment 2022-05, Vol.194 (5), p.354-354, Article 354 |
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| description | MIKE 11 rainfall-runoff model and MIKE 21 overland flow model were successfully coupled in the MIKE FLOOD platform for flood simulation in Gin catchment (932 km
2
) of Sri Lanka to assess land use change induced changes in flood discharge. MIKE 11 Nedbør-Afstrømings-Model (NAM) rainfall-runoff simulation depicted a good agreement with the observed discharge at Thawalama and Baddegama gauging stations. MIKE FLOOD, validated against the two major flood events that occurred in May 2003 and in May 2017, showed a reasonable agreement with the observed water depths and peak discharge values displaying more than 70% goodness of fit between the observed and simulated inundated extents. Dominant land use change processes in the catchment between 1999 and 2016 were identified as the forest area and built-up land expansion at the expense of agricultural land and bare land which possessed contradictory impacts on flood generation. The impact of a single factor, 17-year land use change, on flood formation was differentiated. In the upstream sub-catchment having 490 km
2
, despite a 0.74% increase in the built-up land, 2.85% increase in the forest area had significantly contributed to mitigate the overall flood formation with 34% and 40% reduction in the peak discharge and the flood volume, respectively. Overall reduction of the flood discharge attributed to the forest expansion emphasised the importance of preserving forest cover and pervious area. The modelling framework presented in this typical tropical monsoon catchment study could be effectively used to quantify the land use change induced flow regime variations in similar catchments. |
| doi_str_mv | 10.1007/s10661-022-09986-7 |
| format | Article |
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2
) of Sri Lanka to assess land use change induced changes in flood discharge. MIKE 11 Nedbør-Afstrømings-Model (NAM) rainfall-runoff simulation depicted a good agreement with the observed discharge at Thawalama and Baddegama gauging stations. MIKE FLOOD, validated against the two major flood events that occurred in May 2003 and in May 2017, showed a reasonable agreement with the observed water depths and peak discharge values displaying more than 70% goodness of fit between the observed and simulated inundated extents. Dominant land use change processes in the catchment between 1999 and 2016 were identified as the forest area and built-up land expansion at the expense of agricultural land and bare land which possessed contradictory impacts on flood generation. The impact of a single factor, 17-year land use change, on flood formation was differentiated. In the upstream sub-catchment having 490 km
2
, despite a 0.74% increase in the built-up land, 2.85% increase in the forest area had significantly contributed to mitigate the overall flood formation with 34% and 40% reduction in the peak discharge and the flood volume, respectively. Overall reduction of the flood discharge attributed to the forest expansion emphasised the importance of preserving forest cover and pervious area. The modelling framework presented in this typical tropical monsoon catchment study could be effectively used to quantify the land use change induced flow regime variations in similar catchments.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-022-09986-7</identifier><identifier>PMID: 35403914</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Agricultural land ; Agricultural management ; Agriculture ; Atmospheric Protection/Air Quality Control/Air Pollution ; Catchment area ; Catchments ; Discharge measurement ; Earth and Environmental Science ; Ecology ; Ecotoxicology ; Environment ; Environmental Management ; Environmental Monitoring ; Environmental science ; Flood discharge ; Flood peak ; Floods ; Forests ; Gaging stations ; Goodness of fit ; Hydrodynamics ; Hydrologic models ; Hydrology ; Land use ; land use change ; Modelling ; Monitoring/Environmental Analysis ; monsoon season ; Monsoons ; Overland flow ; Rain ; Rainfall ; Rainfall runoff ; Rainfall simulators ; Rainfall-runoff modeling ; Rainfall-runoff relationships ; Reduction ; Rivers ; Runoff ; Simulation ; Sri Lanka ; Stream discharge ; subwatersheds ; Surface runoff ; Tropical climate ; Water depth ; Water discharge ; Wind</subject><ispartof>Environmental monitoring and assessment, 2022-05, Vol.194 (5), p.354-354, Article 354</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022</rights><rights>2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.</rights><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-a177eb7a41dc061aadef410593cf45372263a0fcca1e09ab8c69a9866dc6d1063</citedby><cites>FETCH-LOGICAL-c408t-a177eb7a41dc061aadef410593cf45372263a0fcca1e09ab8c69a9866dc6d1063</cites><orcidid>0000-0002-0274-2169</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/s10661-022-09986-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10661-022-09986-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35403914$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jayapadma, J. M. M. U.</creatorcontrib><creatorcontrib>Wickramaarachchi, T. N.</creatorcontrib><creatorcontrib>Silva, G. H. A. C.</creatorcontrib><creatorcontrib>Ishidaira, H.</creatorcontrib><creatorcontrib>Magome, J.</creatorcontrib><title>Coupled hydrodynamic modelling approach to assess land use change induced flood characteristics</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><addtitle>Environ Monit Assess</addtitle><description>MIKE 11 rainfall-runoff model and MIKE 21 overland flow model were successfully coupled in the MIKE FLOOD platform for flood simulation in Gin catchment (932 km
2
) of Sri Lanka to assess land use change induced changes in flood discharge. MIKE 11 Nedbør-Afstrømings-Model (NAM) rainfall-runoff simulation depicted a good agreement with the observed discharge at Thawalama and Baddegama gauging stations. MIKE FLOOD, validated against the two major flood events that occurred in May 2003 and in May 2017, showed a reasonable agreement with the observed water depths and peak discharge values displaying more than 70% goodness of fit between the observed and simulated inundated extents. Dominant land use change processes in the catchment between 1999 and 2016 were identified as the forest area and built-up land expansion at the expense of agricultural land and bare land which possessed contradictory impacts on flood generation. The impact of a single factor, 17-year land use change, on flood formation was differentiated. In the upstream sub-catchment having 490 km
2
, despite a 0.74% increase in the built-up land, 2.85% increase in the forest area had significantly contributed to mitigate the overall flood formation with 34% and 40% reduction in the peak discharge and the flood volume, respectively. Overall reduction of the flood discharge attributed to the forest expansion emphasised the importance of preserving forest cover and pervious area. The modelling framework presented in this typical tropical monsoon catchment study could be effectively used to quantify the land use change induced flow regime variations in similar catchments.</description><subject>Agricultural land</subject><subject>Agricultural management</subject><subject>Agriculture</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Catchment area</subject><subject>Catchments</subject><subject>Discharge measurement</subject><subject>Earth and Environmental Science</subject><subject>Ecology</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Management</subject><subject>Environmental Monitoring</subject><subject>Environmental science</subject><subject>Flood discharge</subject><subject>Flood peak</subject><subject>Floods</subject><subject>Forests</subject><subject>Gaging stations</subject><subject>Goodness of fit</subject><subject>Hydrodynamics</subject><subject>Hydrologic models</subject><subject>Hydrology</subject><subject>Land use</subject><subject>land use change</subject><subject>Modelling</subject><subject>Monitoring/Environmental Analysis</subject><subject>monsoon season</subject><subject>Monsoons</subject><subject>Overland flow</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Rainfall runoff</subject><subject>Rainfall simulators</subject><subject>Rainfall-runoff modeling</subject><subject>Rainfall-runoff relationships</subject><subject>Reduction</subject><subject>Rivers</subject><subject>Runoff</subject><subject>Simulation</subject><subject>Sri Lanka</subject><subject>Stream discharge</subject><subject>subwatersheds</subject><subject>Surface runoff</subject><subject>Tropical climate</subject><subject>Water depth</subject><subject>Water discharge</subject><subject>Wind</subject><issn>0167-6369</issn><issn>1573-2959</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkUFP3DAQha0KVBboH-ihssSFS8rYTuz1Ea1aioTEBc7WrO3sZpXEW09y2H9fw9JW4lD1ZMn-5nnee4x9FvBVAJgbEqC1qEDKCqxd6sp8YAvRGFVJ29gTtgChTaWVtmfsnGgHANbU9iM7U00Nyop6wdwqzfs-Br49hJzCYcSh83xIIfZ9N2447vc5od_yKXEkikS8xzHwmSL3Wxw3kXdjmH1RaPuUwstlRj_F3NHUebpkpy32FD-9nRfs-fu3p9WP6uHx7n51-1D5GpZThcKYuDZYi-BBC8QQ21pAY5Vv60YZKbVCaL1HEcHieum1xWJZB69DiUFdsOujbln35xxpckNHvpjAMaaZnCxJQSON_R-0trIRxi4LevUO3aU5j8XIKyUaIbUslDxSPieiHFu3z92A-eAEuJem3LEpV5pyr005U4a-vEnP6yGGPyO_qymAOgJUnkrO-e_f_5D9BafKnrc</recordid><startdate>20220501</startdate><enddate>20220501</enddate><creator>Jayapadma, J. 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M. M. U.</au><au>Wickramaarachchi, T. N.</au><au>Silva, G. H. A. C.</au><au>Ishidaira, H.</au><au>Magome, J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Coupled hydrodynamic modelling approach to assess land use change induced flood characteristics</atitle><jtitle>Environmental monitoring and assessment</jtitle><stitle>Environ Monit Assess</stitle><addtitle>Environ Monit Assess</addtitle><date>2022-05-01</date><risdate>2022</risdate><volume>194</volume><issue>5</issue><spage>354</spage><epage>354</epage><pages>354-354</pages><artnum>354</artnum><issn>0167-6369</issn><eissn>1573-2959</eissn><abstract>MIKE 11 rainfall-runoff model and MIKE 21 overland flow model were successfully coupled in the MIKE FLOOD platform for flood simulation in Gin catchment (932 km
2
) of Sri Lanka to assess land use change induced changes in flood discharge. MIKE 11 Nedbør-Afstrømings-Model (NAM) rainfall-runoff simulation depicted a good agreement with the observed discharge at Thawalama and Baddegama gauging stations. MIKE FLOOD, validated against the two major flood events that occurred in May 2003 and in May 2017, showed a reasonable agreement with the observed water depths and peak discharge values displaying more than 70% goodness of fit between the observed and simulated inundated extents. Dominant land use change processes in the catchment between 1999 and 2016 were identified as the forest area and built-up land expansion at the expense of agricultural land and bare land which possessed contradictory impacts on flood generation. The impact of a single factor, 17-year land use change, on flood formation was differentiated. In the upstream sub-catchment having 490 km
2
, despite a 0.74% increase in the built-up land, 2.85% increase in the forest area had significantly contributed to mitigate the overall flood formation with 34% and 40% reduction in the peak discharge and the flood volume, respectively. Overall reduction of the flood discharge attributed to the forest expansion emphasised the importance of preserving forest cover and pervious area. The modelling framework presented in this typical tropical monsoon catchment study could be effectively used to quantify the land use change induced flow regime variations in similar catchments.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>35403914</pmid><doi>10.1007/s10661-022-09986-7</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-0274-2169</orcidid></addata></record> |
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| ispartof | Environmental monitoring and assessment, 2022-05, Vol.194 (5), p.354-354, Article 354 |
| issn | 0167-6369 1573-2959 |
| language | eng |
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| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Agricultural land Agricultural management Agriculture Atmospheric Protection/Air Quality Control/Air Pollution Catchment area Catchments Discharge measurement Earth and Environmental Science Ecology Ecotoxicology Environment Environmental Management Environmental Monitoring Environmental science Flood discharge Flood peak Floods Forests Gaging stations Goodness of fit Hydrodynamics Hydrologic models Hydrology Land use land use change Modelling Monitoring/Environmental Analysis monsoon season Monsoons Overland flow Rain Rainfall Rainfall runoff Rainfall simulators Rainfall-runoff modeling Rainfall-runoff relationships Reduction Rivers Runoff Simulation Sri Lanka Stream discharge subwatersheds Surface runoff Tropical climate Water depth Water discharge Wind |
| title | Coupled hydrodynamic modelling approach to assess land use change induced flood characteristics |
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