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dc.date.accessioned2021-01-15T20:36:17Z
dc.date.available2021-07-23T22:45:47Z
dc.date.created2020-09-01T20:58:03Z
dc.date.issued2020
dc.identifier.citationLi, Runjie Du, Jinkang Bian, Guodong Wang, Yuefeng Chen, Changchun Zhang, Xueliang Li, Maohua Wang, Shanshan Xie, Shunping Wu, Senyao Yang, Long Xu, Chong-Yu . An Integrated Modelling Approach for Flood Simulation in the Urbanized Qinhuai River Basin, China. Water resources management. 2020, 34, 3967-3984
dc.identifier.urihttp://hdl.handle.net/10852/82249
dc.description.abstractThe accurate simulation and prediction of flood response in urbanized basins remains a great challenge due to the spatial and temporal heterogeneities in land surface properties. We hereby propose an integrated modelling approach that consists of a semi-distributed conceptual hydrological model and a novel parameterization strategy. The modelling approach integrates the Xinanjiang (XAJ) model, Taihu Basin (TB) model, and Nash instantaneous unit hydrograph (IUH) into a framework. Model parameters are calibrated by optimizing their relationships with corresponding physical factors. The proposed modelling approach is applied in the Qinhuai River basin (QRB), China. The modelling approach shows satisfactory performance in flood simulation both for calibration and validation of flood events in the QRB. The approach has temporal and spatial prediction capability by using the established relationships between parameter values and physical factors. Robustness analysis reveals that the different sets of flood events used for parameter relationship calibration led to similar model performance. Numerical experiments show that impervious coverage poses strong influences on the model performance and needs to be considered in flood routing simulations for small- or medium-intensity flood events.
dc.languageEN
dc.titleAn Integrated Modelling Approach for Flood Simulation in the Urbanized Qinhuai River Basin, China
dc.typeJournal article
dc.creator.authorLi, Runjie
dc.creator.authorDu, Jinkang
dc.creator.authorBian, Guodong
dc.creator.authorWang, Yuefeng
dc.creator.authorChen, Changchun
dc.creator.authorZhang, Xueliang
dc.creator.authorLi, Maohua
dc.creator.authorWang, Shanshan
dc.creator.authorXie, Shunping
dc.creator.authorWu, Senyao
dc.creator.authorYang, Long
dc.creator.authorXu, Chong-Yu
cristin.unitcode185,15,22,0
cristin.unitnameInstitutt for geofag
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.cristin1826610
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Water resources management&rft.volume=34&rft.spage=3967&rft.date=2020
dc.identifier.jtitleWater resources management
dc.identifier.volume34
dc.identifier.issue13
dc.identifier.startpage3967
dc.identifier.endpage3984
dc.identifier.doihttps://doi.org/10.1007/s11269-020-02614-4
dc.identifier.urnURN:NBN:no-85160
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0920-4741
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/82249/2/Li%2BRunjie%2B.pdf
dc.type.versionAcceptedVersion
dc.relation.projectNFR/274310


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