ORIGINAL RESEARCH article

Front. Mar. Sci.

Sec. Coastal Ocean Processes

Volume 12 - 2025 | doi: 10.3389/fmars.2025.1635902

Quantitative Assessment of Coastal Geomorphological and Ecological Damage Risks: A Case Study of Sheyang Coast

Provisionally accepted
Dong  LiangDong Liang1Na  GaoNa Gao1*Mingli  ZhaoMingli Zhao1*Mianrun  ChenMianrun Chen1Dongmei  LiDongmei Li2Haobing  CaoHaobing Cao3Zhaoyuan  ZhangZhaoyuan Zhang2Huamei  HuangHuamei Huang1Huaguo  ZhangHuaguo Zhang2
  • 1South China Sea Development Research Institute, Ministry of Natural Resources, Guangzhou, China
  • 2Second Institute of Oceanography Ministry of Natural Resources, Hangzhou, China
  • 3The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing, China

The final, formatted version of the article will be published soon.

As critical zones of land-sea interaction, coastal areas serve as core regions for dense populations, developed economies, and social sustainability. However, coastal erosion poses significant challenges in China, with a notable lack of quantifiable classification standards for coastal risk management. This study analyzed data spanning two decades from the Sheyang estuary, including shoreline changes, nearshore mean wave height, nearshore mean current velocity, salt marsh vegetation area, mudflat area, and coastal slope. By applying game theory to reconcile conflicts between subjective and objective weights of evaluation indicators, final combined weights were derived to quantify the risk values of the Sheyang coast over the past 20 years. Critical thresholds demarcating coastal status from "excellent" to "poor" were identified as follows: Shoreline siltation, shoreline stability, shoreline erosion coupled with disappearance of salt marsh vegetation, and steep slope formation with near-complete loss of mudflat. These thresholds corresponded to low, moderate, and high risk levels, respectively. Using a cloud transformation algorithm, the risk values

Keywords: coastal damage risk, Jiangsu coastal area, Game theory, Cloud model, Quantitative assessment

Received: 27 May 2025; Accepted: 01 Jul 2025.

Copyright: © 2025 Liang, Gao, Zhao, Chen, Li, Cao, Zhang, Huang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Na Gao, South China Sea Development Research Institute, Ministry of Natural Resources, Guangzhou, China
Mingli Zhao, South China Sea Development Research Institute, Ministry of Natural Resources, Guangzhou, China

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