Review of the status of urban flood monitoring and forecasting in TC region

被引:8
|
作者
Liu, Jinping [1 ]
Cho, Hyo-Seob [2 ]
Osman, Sazali [3 ]
Jeong, Hyeon-Gyo [2 ]
Lee, Kwonmin [4 ]
机构
[1] UNESCAP, WMO Typhoon Committe, Macau, Peoples R China
[2] Minist Environm, Han River Flood Control Off, Seoul, South Korea
[3] Minist Nat Resources & Water, Dept Irrigat & Drainage, Putrajaya, Malaysia
[4] Ewha Womans Univ, Dept Climate & Energy Syst Engn, Seoul, South Korea
关键词
Urban flood; Monitoring; Forecasting;
D O I
10.1016/j.tcrr.2022.07.001
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
With the impacts of rapid urbanization and climate change, the urban flood has increasingly become a major hazard risk faced by human being in recent decades. The catastrophic urban flood events appear every year in the world, especially in Asia and Pacific region due to its geographical composition, density population and un-even economic and social development. To reduce the urban flood risk and enhance the resilience of vulnerable communities, especially coastal communities, the Members of ESCAP/WMO Typhoon Committee (TC) have made their great efforts including engineering and non-engineering measures based on their different national conditions. As a key part of non-engineering measures, it is recognized that improving urban flood monitoring and forecasting is a measure with high benefit related to cost on urban flood risk reduction. In recent years, TC Members enhanced their capacity building on urban flood monitoring, forecasting and simulation, inundation mapping, etc. In order to enhance the technical cooperation and exchange on this aspect, Typhoon Committee Working Group on Hydrology (WGH) conducted two projects on "Urban Flood Risk Management in Typhoon Committee Area (UFRM)" and "Operation System for Urban Flood Forecasting and Inundation Mapping (OSUFFIM)" in the past years. This paper generally reviewed the situation and causes of urban flood in TC region; briefly summarized the progresses and shortages on urban flood monitoring and forecasting in TC Members; and initially discussed the areas to be enhanced in future for improvement of urban flood monitoring, forecasting and simulation, and inundation mapping with up-to-date development of weather radar and satellite monitoring, image-based monitoring, information technology (IT), Internet of Things (IoT), big data and artificial intelligence (AI).(c) 2022 The Shanghai Typhoon Institute of China Meteorological Administration. Publishing services by Elsevier B.V. on behalf of KeAi Communication Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:103 / 119
页数:17
相关论文
共 50 条
  • [21] Flood4castRTF: A Real-Time Urban Flood Forecasting Model
    Craninx, Michel
    Hilgersom, Koen
    Dams, Jef
    Vaes, Guido
    Danckaert, Thomas
    Bronders, Jan
    SUSTAINABILITY, 2021, 13 (10)
  • [22] Modelling and monitoring of integrated urban wastewater systems: review on status and perspectives
    Benedetti, Lorenzo
    Langeveld, Jeroen
    Comeau, Adrien
    Corominas, Lluis
    Daigger, Glen
    Martin, Cristina
    Mikkelsen, Peter Steen
    Vezzaro, Luca
    Weijers, Stefan
    Vanrolleghem, Peter A.
    WATER SCIENCE AND TECHNOLOGY, 2013, 68 (06) : 1203 - 1215
  • [23] Sensitivity analysis of surface runoff generation in urban flood forecasting
    Simoes, N. E.
    Leitao, J. P.
    Maksimovic, C.
    Marques, A. Sa
    Pina, R.
    WATER SCIENCE AND TECHNOLOGY, 2010, 61 (10) : 2595 - 2601
  • [24] Review on Urban Flood Risk Assessment
    Li, Cailin
    Sun, Na
    Lu, Yihui
    Guo, Baoyun
    Wang, Yue
    Sun, Xiaokai
    Yao, Yukai
    SUSTAINABILITY, 2023, 15 (01)
  • [25] A review on applications of urban flood models in flood mitigation strategies
    Qi, Wenchao
    Ma, Chao
    Xu, Hongshi
    Chen, Zifan
    Zhao, Kai
    Han, Hao
    NATURAL HAZARDS, 2021, 108 (01) : 31 - 62
  • [27] A review on applications of urban flood models in flood mitigation strategies
    Wenchao Qi
    Chao Ma
    Hongshi Xu
    Zifan Chen
    Kai Zhao
    Hao Han
    Natural Hazards, 2021, 108 : 31 - 62
  • [28] A review of flood modeling methods for urban pluvial flood application
    Dejene Tesema Bulti
    Birhanu Girma Abebe
    Modeling Earth Systems and Environment, 2020, 6 : 1293 - 1302
  • [29] A Web-based flood forecasting system for Shuangpai region
    Li, XY
    Chau, KW
    Cheng, CT
    Li, YS
    ADVANCES IN ENGINEERING SOFTWARE, 2006, 37 (03) : 146 - 158
  • [30] A review of flood modeling methods for urban pluvial flood application
    Bulti, Dejene Tesema
    Abebe, Birhanu Girma
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2020, 6 (03) : 1293 - 1302