Mapping Compound Flooding Risks for Urban Resilience in Coastal Zones: A Comprehensive Methodological Review

被引:12
|
作者
Sun, Hai [1 ,2 ,3 ]
Zhang, Xiaowei [1 ]
Ruan, Xuejing [4 ]
Jiang, Hui [5 ]
Shou, Wenchi [3 ]
机构
[1] Ocean Univ China, Coll Engn, Qingdao 266100, Peoples R China
[2] Ocean Univ China, Key Lab Marine Environm & Ecol, Minist Educ, Qingdao 266100, Peoples R China
[3] Western Sydney Univ, Sch Engn Design & Built Environm, Sydney 2745, Australia
[4] Qingdao Agr Univ, Coll Civil Engn & Architecture, Qingdao 266109, Peoples R China
[5] Guangdong Prov Seismol Bur, Guangzhou 510070, Peoples R China
基金
中国国家自然科学基金;
关键词
compound coastal flooding; flooding risk; scenario simulation; statistical modeling; bibliometric analysis; SEA-LEVEL RISE; SEQUENTIAL DATA ASSIMILATION; STORM-SURGE; EXTREME RAINFALL; FREQUENCY-ANALYSIS; NEURAL-NETWORK; CLIMATE-CHANGE; SHALLOW-WATER; INUNDATION; MODELS;
D O I
10.3390/rs16020350
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Coastal regions, increasingly threatened by floods due to climate-change-driven extreme weather, lack a comprehensive study that integrates coastal and riverine flood dynamics. In response to this research gap, we conducted a comprehensive bibliometric analysis and thorough visualization and mapping of studies of compound flooding risk in coastal cities over the period 2014-2022, using VOSviewer and CiteSpace to analyze 407 publications in the Web of Science Core Collection database. The analytical results reveal two persistent research topics: the way to explore the return periods or joint probabilities of flood drivers using statistical modeling, and the quantification of flood risk with different return periods through numerical simulation. This article examines critical causes of compound coastal flooding, outlines the principal methodologies, details each method's features, and compares their strengths, limitations, and uncertainties. This paper advocates for an integrated approach encompassing climate change, ocean-land systems, topography, human activity, land use, and hazard chains to enhance our understanding of flood risk mechanisms. This includes adopting an Earth system modeling framework with holistic coupling of Earth system components, merging process-based and data-driven models, enhancing model grid resolution, refining dynamical frameworks, comparing complex physical models with more straightforward methods, and exploring advanced data assimilation, machine learning, and quasi-real-time forecasting for researchers and emergency responders.
引用
收藏
页数:33
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