Real-time flood simulations using CA model driven by dynamic observation data

作者:Li, Y (Li, Yi)[ 1,2 ] ; Gong, JH (Gong, Jianhua)[ 1,2 ] ; Liu, H (Liu, Heng)[ 3 ] ; Zhu, J (Zhu, Jun)[ 4 ] ; Song, YQ (Song, Yiquan)[ 5 ] ; Liang, JM (Liang, Jianming)[ 1,2 ]

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

卷: 29  期: 4  页: 523-535

DOI: 10.1080/13658816.2014.977292

出版年: APR 3 2015

摘要

It is difficult to obtain accurate simulation results without observation data. So using real-time dynamic observation data in the simulation process has become an academic frontier of international research. This paper is a probing research on the data-driven adaptive modeling and automatic refactoring methods of flood routing simulation. A cellular automata (CA) data-driven flooding model was developed using the Hunhe River in Shenyang City as a case study. The proposed model can increase the accuracy of simulations by calculating differences in the water stages using high temporal resolution observational data. Meanwhile, corresponding parameter analysis was carried out based on the proposed CA model and the best lagging time between simulation and observation was discussed.

通讯作者地址: Gong, JH (通讯作者)

Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China.

地址:

[ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China

[ 2 ] Zhejiang CAS Applicat Ctr Geoinformat, Jiaxing, Zhejiang, Peoples R China

[ 3 ] Res Inst Water Resources & Hydropower, Shenyang, Liaoning, Peoples R China

[ 4 ] Southwest Jiaotong Univ, Chengdu, Sichuan, Peoples R China

[ 5 ] Tianjin Normal Univ, Coll Urban & Environm Sci, Tianjin, Peoples R China