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作者:

Wang Hao (Wang Hao.) | Zhou Jinjun (Zhou Jinjun.) | Tang Ying (Tang Ying.) | Liu Zilong (Liu Zilong.) | Kang Aiqing (Kang Aiqing.) | Chen Bin (Chen Bin.)

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摘要:

Flood disasters have appeared more frequently in recent years because of climate change and urbanization, and Integrated Flood Risk Management (IFRM) has emerged as an effective method to reduce damage from these floods. This research studies IFRM methods in three aspects: flood risk identification of high-risk areas, flood risk assessment to quantify economic losses, and flood risk management to identify structural measures with the greatest engineering benefits. These methods were applied to Beijing as a case study, and the results showed that the Zuoan-Road area was a high-risk area with economic losses ranging from 0.7 million to 35.9 million euros over different return periods. There are five structural measures in Zuoan-Road area, with engineering benefits ranging from 0.97 to 1.60 over different return periods, and the one with the greatest engineering benefits had a fifty-year return period. The results of this research can be used to support urban flood risk management in Beijing.

关键词:

Integrated flood risk management Flood disaster Structural measures Engineering/economic benefits

作者机构:

  • [ 1 ] [Wang Hao]College of Architecture and Civil Engineering, Beijing University of Technology, 100124, China
  • [ 2 ] [Zhou Jinjun]College of Architecture and Civil Engineering, Beijing University of Technology, 100124, China. Electronic address: zhoujj@bjut.edu.cn
  • [ 3 ] [Tang Ying]Urban Construction School, Beijing City University, 100083, Beijing, China
  • [ 4 ] [Liu Zilong]Beijing Municipal Institute of city Planning and Design, 100045, Beijing, China
  • [ 5 ] [Kang Aiqing]China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
  • [ 6 ] [Chen Bin]School of Environment, Beijing Normal University, 100875, China

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来源 :

Journal of environmental management

ISSN: 1095-8630

年份: 2021

卷: 280

页码: 111701

8 . 7 0 0

JCR@2022

ESI学科: ENVIRONMENT/ECOLOGY;

ESI高被引阀值:94

JCR分区:1

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WoS核心集被引频次:

SCOPUS被引频次: 50

ESI高被引论文在榜: 0 展开所有

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