Urban flood risk differentiation under land use scenario simulation

被引：28
|
作者：
Zhao, Hongbo [1 ,2 ]
Gu, Tianshun [1 ,2 ]
Tang, Junqing [1 ,2 ]
Gong, Zhaoya [1 ,2 ]
Zhao, Pengjun [1 ,2 ,3 ]
机构：
[1] Henan Univ, Key Res Inst Yellow River Civilizat & Sustainable, Kaifeng 475001, Peoples R China
[2] Henan Univ, Collaborat Innovat Ctr Yellow River Civilizat Join, Minist Educ, Kaifeng 475001, Peoples R China
[3] Peking Univ, Sch Urban Planning & Design, Shenzhen Grad Sch, Shenzhen, Peoples R China
来源：
ISCIENCE | 2023年 / 26卷 / 04期
关键词：
BAYESIAN NETWORK; COVER CHANGE; POPULATION; MANAGEMENT; PATTERN; IMPACT; BASIN;
D O I：
10.1016/j.isci.2023.106479
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
The frequent urban floods have seriously affected the regional sustainable devel-opment in recent years. It is significant to understand the characteristics of urban flood risk and reasonably predict urban flood risk under different land use sce-narios. This study used the random forest and multi-criteria decision analysis models to assess the spatiotemporal characteristics of flood risk in Zhengzhou City, China, from 2005 to 2020, and proposed a robust method coupling Bayesian network and patch-generating land use simulation models to predict future flood risk probability. We found that the flood risk in Zhengzhou City presented an up-ward trend from 2005 to 2020, and its spatial pattern was "high in the middle and low in the surrounding areas". In addition, land use patterns under the sustainable development scenario would be more conducive to reducing flood risk. Our results can provide theoretical support for scientifically optimizing land use to improve urban flood risk management.
引用
收藏
页数：29
相关论文
共 50 条
  • [1] Risk assessment of shanghai extreme flooding under the land use change scenario
    Shan, Xinmeng
    Yin, Jie
    Wang, Jun
    NATURAL HAZARDS, 2022, 110 (02) : 1039 - 1060
  • [2] Reconstruction of Historical Land Use and Urban Flood Simulation in Xi'an, Shannxi, China
    Wang, Shuangtao
    Luo, Pingping
    Xu, Chengyi
    Zhu, Wei
    Cao, Zhe
    Ly, Steven
    REMOTE SENSING, 2022, 14 (23)
  • [3] Resilient urban expansion: Identifying critical conflict patches by integrating flood risk and land use predictions: A case study of Min Delta Urban Agglomerations in China
    Wang, Qianwen
    Zhao, Guangyu
    Zhao, Runze
    INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2024, 100
  • [4] Scenario-based urban growth simulation by incorporating ecological-agricultural-urban suitability into a Future Land Use Simulation model
    Li, Long
    Huang, Xianjin
    Yang, Hong
    CITIES, 2023, 137
  • [5] The Role of Urban Growth in Resilience of Communities Under Flood Risk
    Hemmati, Mona
    Ellingwood, Bruce R.
    Mahmoud, Hussam N.
    EARTHS FUTURE, 2020, 8 (03)
  • [6] Identification of Inefficient Urban Land for Urban Regeneration Considering Land Use Differentiation
    Jin, Rui
    Huang, Chunyuan
    Wang, Pei
    Ma, Junyong
    Wan, Yiliang
    LAND, 2023, 12 (10)
  • [7] Evaluating the effects of land-use strategies on future flood risk reduction in urban areas
    Ku, Chia-An
    CITIES, 2024, 150
  • [8] Multi-Scenario Simulation of Land Use and Habitat Quality in the Guanzhong Plain Urban Agglomeration, China
    Ye, Hao
    Song, Yongyong
    Xue, Dongqian
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (14)
  • [9] Urban rainstorm and waterlogging scenario simulation based on SWMM under changing environment
    Wang, Simin
    Jiang, Rengui
    Yang, Mingxiang
    Xie, Jiancang
    Wang, Yinping
    Li, Wen
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (59) : 123259 - 123273
  • [10] Effect of zoning plans on urban land-use change: A multi-scenario simulation for supporting sustainable urban growth
    Domingo, Dario
    Palka, Gaetan
    Hersperger, Anna M.
    SUSTAINABLE CITIES AND SOCIETY, 2021, 69
12345