{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1363670318923883264.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1111/jfr3.12147"}},{"identifier":{"@type":"URI","@value":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fjfr3.12147"}},{"identifier":{"@type":"URI","@value":"https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfr3.12147"}}],"dc:title":[{"@value":"An emergency response‐type rainfall‐runoff‐inundation simulation for 2011 Thailand floods"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:title>Abstract</jats:title><jats:p>A devastating flood disaster occurred in Thailand in 2011. In case of such large‐scale flooding, it is important to predict the dynamics of inundation on a near real‐time basis for safe evacuation. To predict widespread inundation, where both rainfall‐runoff from surrounding mountains and rainfall on floodplains contribute to the event, this paper applied a rainfall‐runoff‐inundation (<jats:styled-content style=\"fixed-case\">RRI</jats:styled-content>) model to the entire Chao Phraya River basin (160 000 km<jats:sup>2</jats:sup>). Near real‐time simulation was conducted for emergency responses with globally available dataset including satellite‐based topography (<jats:styled-content style=\"fixed-case\">HydroSHEDS</jats:styled-content> derived from <jats:styled-content style=\"fixed-case\">SRTM</jats:styled-content>) and rainfall (<jats:styled-content style=\"fixed-case\">TRMM</jats:styled-content> 3<jats:styled-content style=\"fixed-case\">B42RT</jats:styled-content>) during the disaster. Post‐flood simulation was also carried out with more local information. The <jats:styled-content style=\"fixed-case\">RRI</jats:styled-content> model was found capable of representing the peak inundation extent with an acceptable accuracy and correctly predicting a 1‐month lasting inundation in the lower part of the basin. On the other hand, the prediction overestimated the river discharge by 40% and the inundation water level by 2 m mainly due to the neglect of the evapotranspiration effect. The post‐flood simulation improved its accuracy by up to 10% for river discharges and 1 m for peak inundation water levels, but it did not lead to better agreement of flood extents with those based on the remote sensing. Further study is recommended to improve accuracy for modelling of spatial extent of flooding. Furthermore, sensitivity analysis with different input suggested what information should be prioritised for emergency response‐type flood simulations.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1380294643844030723","@type":"Researcher","foaf:name":[{"@value":"T. Sayama"}],"jpcoar:affiliationName":[{"@value":"International Centre for Water Hazard and Risk Management Public Works Research Institute  Tsukuba Japan"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670318923883266","@type":"Researcher","foaf:name":[{"@value":"Y. Tatebe"}],"jpcoar:affiliationName":[{"@value":"International Centre for Water Hazard and Risk Management Public Works Research Institute  Tsukuba Japan"},{"@value":"now at CTI Engineering Co.  Fukuoka Japan"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670318923883264","@type":"Researcher","foaf:name":[{"@value":"S. Tanaka"}],"jpcoar:affiliationName":[{"@value":"International Centre for Water Hazard and Risk Management Public Works Research Institute  Tsukuba Japan"},{"@value":"now at Disaster Prevention Research Institute Kyoto University  Kyoto Japan"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"1753318X"},{"@type":"EISSN","@value":"1753318X"}],"prism:publicationName":[{"@value":"Journal of Flood Risk Management"}],"dc:publisher":[{"@value":"Wiley"}],"prism:publicationDate":"2015-03-12","prism:volume":"10","prism:number":"1","prism:startingPage":"65","prism:endingPage":"78"},"reviewed":"false","dcterms:accessRights":"http://purl.org/coar/access_right/c_abf2","dc:rights":["http://onlinelibrary.wiley.com/termsAndConditions#vor"],"url":[{"@id":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fjfr3.12147"},{"@id":"https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfr3.12147"}],"createdAt":"2015-01-22","modifiedAt":"2023-09-09","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1050293246444066048","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Identification of the spatio-temporal and fluvial-pluvial sources of flood inundation in the Lower Mekong Basin"}]},{"@id":"https://cir.nii.ac.jp/crid/1050856196397568384","@type":"Article","resourceType":"学術雑誌論文(journal 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Control"}]},{"@id":"https://cir.nii.ac.jp/crid/1360568466976736512","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Development of water and energy Budget-based Rainfall-Runoff-Inundation model (WEB-RRI) and its verification in the Kalu and Mundeni River Basins, Sri Lanka"}]},{"@id":"https://cir.nii.ac.jp/crid/1360580230581517184","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Quantitative assessment of flood risk with evaluation of the effectiveness of dam operation for flood control: A case of the Bago River Basin of Myanmar"}]},{"@id":"https://cir.nii.ac.jp/crid/1360869854361508992","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Long‐term flood exposure assessment using satellite‐based land use change detection and inundation simulation: A 30‐year case study of the <scp>Bangkok Metropolitan Region</scp>"}]},{"@id":"https://cir.nii.ac.jp/crid/1390001288049738112","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Effectiveness of the Submersible Embankment in Haor Area in Bangladesh"}]},{"@id":"https://cir.nii.ac.jp/crid/1390001288151366784","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Inundation Process in the Lower Mekong River Basin"}]},{"@id":"https://cir.nii.ac.jp/crid/1390001288153523968","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"INFLUENCE ANALYSIS OF OBSERVED RIVER CHANNEL CONDITIONS ON THE INUNDATION PROCESS IN THE LOWER MEKONG RIVER BASIN"}]},{"@id":"https://cir.nii.ac.jp/crid/1390002184889102848","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Development of Flood Damage Estimation Model for Agriculture – Case Study in the Bago Floodplain, Myanmar"}]},{"@id":"https://cir.nii.ac.jp/crid/1390012158460898176","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"An Approach to Flood Hazard Mapping for the Chao Phraya River Basin Using Rainfall-Runoff-Inundation Model"}]},{"@id":"https://cir.nii.ac.jp/crid/1390285300162025472","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Inundation analysis using coupling storage function model with a distributed hydrological model in Kushiro marsh, Japan"}]},{"@id":"https://cir.nii.ac.jp/crid/1390291767823441408","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"The Effect of Incorporation of Embankment Information for Flood Simulation of the Gin River, Sri 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