气候变化领域集成服务门户(CCPortal): Modeling the high-resolution dynamic exposure to flooding in a city region

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DOI	10.5194/hess-23-3353-2019
	Modeling the high-resolution dynamic exposure to flooding in a city region
	Zhu X.; Dai Q.; Han D.; Zhuo L.; Zhu S.; Zhang S.
发表日期	2019
ISSN	1027-5606
起始页码	3353
结束页码	3372
卷号	23 期号:8
英文摘要	Urban flooding exposure is generally investigated with the assumption of stationary disasters and disaster-hit bodies during an event, and thus it cannot satisfy the increasingly elaborate modeling and management of urban floods. In this study, a comprehensive method was proposed to simulate dynamic exposure to urban flooding considering residents' travel behavior. First, a flood simulation was conducted using the LISFLOOD-FP model to predict the spatiotemporal distribution of flooding. Second, an agent-based model was used to simulate residents' movements during the urban flooding period. Finally, to study the evolution and patterns of urban flooding exposure, the exposure of population, roads, and buildings to urban flooding was simulated using Lishui, China, as a case study. The results showed that water depth was the major factor affecting total urban exposure in Lishui. Urban exposure to fluvial flooding was concentrated along the river, while exposure to pluvial flooding was dispersed throughout the area (independent from the river). Additionally, the population distribution on weekends was more variable than on weekdays and was more sensitive to floods. In addition, residents' response behavior (based on their subjective consciousness) may result in increased overall exposure. This study presents the first fully formulated method for dynamic urban flood exposure simulation at a high spatiotemporal resolution. The quantitative results of this study can provide fundamental information for urban flood disaster vulnerability assessment, socioeconomic loss assessment, urban disaster risk management, and emergency response plan establishment. © Author(s) 2019.
语种	英语
scopus关键词	Autonomous agents; Computational methods; Emergency services; Risk assessment; Risk management; Agent-based model; Comprehensive method; Emergency response plans; Quantitative result; Socioeconomic loss; Spatio-temporal resolution; Spatiotemporal distributions; Urban flood disasters; Floods; flood control; flooding; hazard assessment; hydrological modeling; prediction; resident population; travel behavior; urban area; vulnerability; China; Lishui; Zhejiang
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159628
作者单位	Zhu, X., Key Laboratory of VGE, Ministry of Education, Nanjing Normal University, Nanjing, China; Dai, Q., Key Laboratory of VGE, Ministry of Education, Nanjing Normal University, Nanjing, China, WEMRC, Department of Civil Engineering, University of Bristol, Bristol, United Kingdom, Jiangsu Center, Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China; Han, D., WEMRC, Department of Civil Engineering, University of Bristol, Bristol, United Kingdom; Zhuo, L., WEMRC, Department of Civil Engineering, University of Bristol, Bristol, United Kingdom; Zhu, S., College of Geographical and Biological Information, Nanjing University of Posts and Telecommunications, Nanjing, China; Zhang, S., Key Laboratory of VGE, Ministry of Education, Nanjing Normal University, Nanjing, China
推荐引用方式 GB/T 7714	Zhu X.,Dai Q.,Han D.,et al. Modeling the high-resolution dynamic exposure to flooding in a city region[J],2019,23(8).
APA	Zhu X.,Dai Q.,Han D.,Zhuo L.,Zhu S.,&Zhang S..(2019).Modeling the high-resolution dynamic exposure to flooding in a city region.Hydrology and Earth System Sciences,23(8).
MLA	Zhu X.,et al."Modeling the high-resolution dynamic exposure to flooding in a city region".Hydrology and Earth System Sciences 23.8(2019).