GIS-based methodology for erosion risk assessment of the muddy coast in the Yangtze Delta

Muddy coasts are widely distributed around the world, especially adjacent to large estuaries. These regions are highly susceptible to coastal erosion with its dense population, developed economy and low-lying land. Due to immense natural and human pressures, there is an urgent need for a more compre...

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Bibliographic Details
Published in:Ocean & coastal management 2015-05, Vol.108, p.97-108
Main Authors: Li, Xing, Zhou, Yunxuan, Tian, Bo, Kuang, Runyuan, Wang, Lihua
Format: Article
Language:English
Subjects:
Assessment
Brackish
Coastal erosion
Coastal zone management
Estuaries
Hazard
Indexes
Land
Marine
Population
Risk
Socioeconomic status
The Yangtze Delta
Vulnerability
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Summary:Muddy coasts are widely distributed around the world, especially adjacent to large estuaries. These regions are highly susceptible to coastal erosion with its dense population, developed economy and low-lying land. Due to immense natural and human pressures, there is an urgent need for a more comprehensive understanding of coastal erosion risk in such areas. Various models have been established, but most of them focused on sandy coasts and physical factors that influence coastal erosion while socioeconomic factors were usually ignored. Accordingly, this study presents a GIS-based risk assessment of coastal erosion for muddy coasts by combining both the physical and socioeconomic aspects of erosion. The method is used to assess coastal erosion risk in the Yangtze Delta. Based on the DPSIR (Driving forces, Pressure, State, Impact, and Response) framework, 10 vulnerability indicators and 3 impact indicators corresponding to physical and socioeconomic aspects, respectively, are identified to constitute an indicator system. These indicators are weighted using the Analytic Hierarchy Process (AHP) technique, and then are combined into a Vulnerability Index and a Hazard Index, which then are merged into a Risk Index. Then, these indexes are normalized to 0%–100%. Finally, the normalized values are ranked into 5 levels: very low (
ISSN:0964-5691
1873-524X
DOI:10.1016/j.ocecoaman.2014.09.028