Mapping compound flooding risks for urban resilience in coastal zones : a comprehensive methodological review

H. Sun, X. Zhang, X. Ruan, H. Jiang, Wenchi Shou

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

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.
Original languageEnglish
Article number350
Number of pages33
JournalRemote Sensing
Volume16
Issue number2
DOIs
Publication statusPublished - Jan 2024

Bibliographical note

Publisher Copyright:
© 2024 by the authors.

Open Access - Access Right Statement

© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)

Keywords

  • bibliometric analysis
  • compound coastal flooding
  • flooding risk
  • scenario simulation
  • statistical modeling

Fingerprint

Dive into the research topics of 'Mapping compound flooding risks for urban resilience in coastal zones : a comprehensive methodological review'. Together they form a unique fingerprint.

Cite this