Characteristics and evaluation of coastal erosion vulnerability of typical coast on Hainan Island

Coastal erosion vulnerability assessment is widely used to assess the loss degree of coastal zone caused by erosion, and plays an important role in coastal natural resources protection, planning, management and decision-making. Based on the natural and social characteristics of the east coast of Qiongdong and the coastal erosion vulnerability index (CVI) method, this study selected 8 assessment indicators, such as shoreline change rate (U1). The Delphi method and the entropy weight method were used to calculate the comprehensive index weight, combined with CVI method and geographic information system (GIS) technology, to quantitatively evaluate the temporal and spatial distribution characteristics of typical coastal erosion vulnerability such as coral reefs in the east of Hainan Island. The study area was divided into 5 grades: very low (31%), low (10%), moderate (28%), high (24%) and high vulnerability (7%), and the overall performance was moderate erosion vulnerability. The research showed that the interannual downward rate erosion of beach (U3) and the rate of change of the isobath (U2) of the beach were the main controlling factors affecting the vulnerability of coastal erosion in the study area, and the coastal dynamic factor had a greater impact than the other two factors. As a natural barrier, the coral reefs in the study area had good wave absorption and energy reduction, and the coral reef coasts showed low coastal erosion vulnerability, due to the complex hydrodynamic characteristics, estuary coasts is the most vulnerable areas. The verification results of the ROC-AUC method showed that the accuracy of erosion vulnerability was 68.9%, which provided an important reference for the ecological restoration of tropical coral reef biological coasts and the development and management of the Hainan Qiongdong coastal zone.

[1]  F. Cai,et al.  Rapid migration of mainland China's coastal erosion vulnerability due to anthropogenic changes. , 2022, Journal of environmental management.

[2]  Y. Pan,et al.  An experimental study on the evolution of a submerged berm under the effects of regular waves in low-energy conditions , 2022, Coastal Engineering.

[3]  F. Cai,et al.  Vulnerability Evolution of Coastal Erosion in the Pearl River Estuary Great Bay Area Due to the Influence of Human Activities in the Past Forty Years , 2022, Frontiers in Marine Science.

[4]  F. Cai,et al.  Coastal Erosion Vulnerability in Mainland China Based on Fuzzy Evaluation of Cloud Models , 2022, Frontiers in Marine Science.

[5]  N. Lam,et al.  Assessment of coastal erosion vulnerability and socio-economic impact along the Yangtze River Delta , 2021, Ocean & Coastal Management.

[6]  A. Sharaky,et al.  Coastal erosion risk assessment and applied mitigation measures at Ezbet Elborg village, Egyptian delta , 2021, Ain Shams Engineering Journal.

[7]  M. Koetse,et al.  Angry waves that eat the coast: An economic analysis of nature-based and engineering solutions to coastal erosion , 2021, Ocean & Coastal Management.

[8]  Sanjoy Roy,et al.  Coastal erosion risk assessment in the dynamic estuary: The Meghna estuary case of Bangladesh coast , 2021, International Journal of Disaster Risk Reduction.

[9]  A. Dastgheib,et al.  A methodological framework of quantifying the cost of environmental degradation driven by coastal flooding and erosion: A case study in West Africa , 2021 .

[10]  D. Parthasarathy,et al.  Dynamics of exposure, sensitivity, adaptive capacity and agricultural vulnerability at district scale for Maharashtra, India , 2021 .

[11]  B. Pradhan,et al.  Cyclone vulnerability assessment of the western coast of Bangladesh , 2021 .

[12]  B. Pradhan,et al.  Agricultural drought risk assessment of Northern New South Wales, Australia using geospatial techniques. , 2020, The Science of the total environment.

[13]  Milad Jasemi,et al.  Measuring the effectiveness of AHP and fuzzy AHP models in environmental risk assessment of a gas power plant , 2020 .

[14]  Han Soo Lee,et al.  Flood risk assessment for Davao Oriental in the Philippines using geographic information system‐based multi‐criteria analysis and the maximum entropy model , 2020, Journal of Flood Risk Management.

[15]  B. Ahmed,et al.  Cyclone risk assessment of the Cox's Bazar district and Rohingya refugee camps in southeast Bangladesh. , 2019, The Science of the total environment.

[16]  B. Pradhan,et al.  Tropical cyclone risk assessment using geospatial techniques for the eastern coastal region of Bangladesh. , 2019, The Science of the total environment.

[17]  Han Soo Lee,et al.  Flood-Prone Area Assessment Using GIS-Based Multi-Criteria Analysis: A Case Study in Davao Oriental, Philippines , 2019, Water.

[18]  Mahfuzur Rahman,et al.  Flood Susceptibility Assessment in Bangladesh Using Machine Learning and Multi-criteria Decision Analysis , 2019, Earth Systems and Environment.

[19]  Saowanee Wijitkosum,et al.  Fuzzy AHP Integrated with GIS Analyses for Drought Risk Assessment: A Case Study from Upper Phetchaburi River Basin, Thailand , 2019, Water.

[20]  M. Escudero,et al.  Coastal Hazard Assessments for Sandy Coasts: Appraisal of Five Methodologies , 2019, Journal of Coastal Research.

[21]  E. Siegle,et al.  Vulnerability to beach erosion based on a coastal processes approach , 2019, Applied Geography.

[22]  Pietro P. C. Aucelli,et al.  Sensing the Submerged Landscape of Nisida Roman Harbour in the Gulf of Naples from Integrated Measurements on a USV , 2018, Water.

[23]  Frances Drake,et al.  Modelling land susceptibility to erosion in the coastal area of Bangladesh: A geospatial approach , 2018, Geomorphology.

[24]  Shaofeng Xu,et al.  Flood risk assessment and mapping based on a modified multi-parameter flood hazard index model in the Guanzhong Urban Area, China , 2018, Stochastic Environmental Research and Risk Assessment.

[25]  Francisco Sancho,et al.  CERA: An open-source tool for coastal erosion risk assessment , 2017 .

[26]  Intensitas,et al.  Analytical Hierarchy Process , 2017 .

[27]  M. Piccolo,et al.  Hazard, vulnerability and coastal erosion risk assessment in Necochea Municipality, Buenos Aires Province, Argentina , 2016, Journal of Coastal Conservation.

[28]  H. Das,et al.  Vulnerability of Coastal Communities from Storm Surge and Flood Disasters , 2016, International journal of environmental research and public health.

[29]  J. Barragán,et al.  Analysis and trends of the world's coastal cities and agglomerations , 2015 .

[30]  R. Kasperson,et al.  World Atlas of Natural Disaster Risk , 2015 .

[31]  Rodger Tomlinson,et al.  Comparison of Fuzzy-AHP and AHP in a spatial multi-criteria decision making model for urban land-use planning , 2015, Comput. Environ. Urban Syst..

[32]  S. Hadi,et al.  A methodology to assess environmental vulnerability in a coastal city: Application to Jakarta, Indonesia , 2014 .

[33]  K. S. Jayappa,et al.  Shoreline change rate estimation and its forecast: remote sensing, geographical information system and statistics-based approach , 2014, International Journal of Environmental Science and Technology.

[34]  K. A. Addo.  Shoreline morphological changes and the human factor. Case study of Accra Ghana , 2013 .

[35]  A. Bhattacharya,et al.  Assessment of Coastal Erosion Vulnerability around Midnapur-Balasore Coast, Eastern India using Integrated Remote Sensing and GIS Techniques , 2013, Journal of the Indian Society of Remote Sensing.

[36]  Yang Zhi-xiang.  Monitoring Coastline Changes and Tidal Flat Reclaimation in Jiangsu Using Remote Sensing Technology , 2013 .

[37]  Ma Zhen.  Vulnerability evaluation of the Caofeidian coastal area based on coastal vulnerability index method , 2013 .

[38]  Md. Golam Mahabub Sarwar.  Sea-Level Rise Along the Coast of Bangladesh , 2013 .

[39]  Fuad Mallick,et al.  Disaster Risk Reduction Approaches in Bangladesh , 2013 .

[40]  Eduardo Sarmento Ferreira.  DISAPPEARING DESTINATIONS: CLIMATE CHANGE AND FUTURE CHALLENGES FOR COASTAL TOURISM , 2012 .

[41]  P. Aucelli,et al.  Historical Shoreline Change of the Sele Plain (Southern Italy): The 1870–2009 Time Window , 2012 .

[42]  Pravin D. Kunte,et al.  Coastal vulnerability assessment for Chennai, east coast of India using geospatial techniques , 2012, Natural Hazards.

[43]  M. Phillips,et al.  Disappearing Destinations: Climate Change and Future Challenges for Coastal Tourism , 2010 .

[44]  R. Shaw,et al.  Coastal hazards and community-coping methods in Bangladesh , 2008 .

[45]  Tol,et al.  Understanding Vulnerability of Coastal Communities to Climate Change Related Risks , 2007 .

[46]  Jing-nan Sun,et al.  Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment. , 2006, Journal of environmental sciences.

[47]  Jan E. Vermaat,et al.  Coastal erosion and mangrove progradation of Southern Thailand , 2006 .

[48]  S. Cutter,et al.  Erosion Hazard Vulnerability of US Coastal Counties , 2005 .

[49]  Ian L Turner,et al.  Shoreline Definition and Detection: A Review , 2005 .

[50]  G. Anfuso,et al.  Vulnerability assessment of a retreating coast in SW Spain , 2005 .

[51]  Gao Shu.  Risk and Safety Evaluation Methodologies for Coastal Systems: a Review , 2005 .

[52]  K. Mangor.  Shoreline management guidelines , 2004 .

[53]  South S. Carolina,et al.  National Assessment of Coastal Vulnerability to Sea-Level Rise: Preliminary Results for the U.S. Atlantic Coast , 1999 .

[54]  V. Gornitz.  Research paperGlobal coastal hazards from future sea level rise , 1991 .

[55]  J. Rodgers,et al.  Thirteen ways to look at the correlation coefficient , 1988 .

[56]  P. Bruun.  Sea-Level Rise as a Cause of Shore Erosion , 1962 .