Articles | Volume 20, issue 9
https://doi.org/10.5194/nhess-20-2447-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-2447-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Sep 2020
Research article |
| 16 Sep 2020
| 16 Sep 2020
Trends in social vulnerability to storm surges in Shenzhen, China
Huaming Yu
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, 266100, China
Sanya Oceanographic Institution, Ocean University of China, Sanya, 572024, China
Pilot National Laboratory for Marine Science and Technology, Qingdao, 266237, China
Yuhang Shen
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, 266100, China
Ryan M. Kelly
Rykell Scientific Editorial, Los Angeles, CA, USA
Department of Organic Food Quality and Food Culture, Faculty of Organic Agricultural Sciences, University of Kassel, Nordbahnhofstrasse 1A, 37213 Witzenhausen, Germany
Kejian Wu
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, 266100, China
Songlin Li
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, 266100, China
Institute of Marine Science and Technology, Shandong University, Qingdao, 266237, China
Xianwen Bao
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, 266100, China
Pilot National Laboratory for Marine Science and Technology, Qingdao, 266237, China
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Cited
12 citations as recorded by crossref.
- An integrated risk assessment framework for multiple natural disasters based on multi-dimensional correlation analysis W. Yang et al. 10.1007/s11069-023-06159-8
- Assessing the vulnerability and risk of maize to drought in China based on the AquaCrop model X. Zhu et al. 10.1016/j.agsy.2020.103040
- High-accuracy estimation method of typhoon storm surge disaster loss under small sample conditions by information diffusion model coupled with machine learning models X. Du et al. 10.1016/j.ijdrr.2022.103307
- Assessment of social vulnerability to flood, earthquake and fire hazards Case study: districts of Sari city M. Ramzanpour et al. 10.1016/j.envdev.2025.101289
- Assessment and analysis of social vulnerability to island seismic disasters W. Ye & J. Jia 10.1016/j.ijdrr.2023.104008
- Decreasing Vulnerability of Storm Surge Disasters in Coastal Cities of China over the Past 30 Years D. Meng et al. 10.3390/jmse11010128
- Deciphering the Social Vulnerability of Landslides Using the Coefficient of Variation-Kullback-Leibler-TOPSIS at an Administrative Village Scale Y. Wang et al. 10.3390/rs17040714
- Comprehensive Assessment of Vulnerability to Storm Surges in Coastal China: Towards a Prefecture-Level Cities Perspective X. Liu et al. 10.3390/rs15194828
- Vertical spatial optimization design of drainage water treatment facilities in coastal cities under storm surge environment M. Yan et al. 10.5004/dwt.2023.30011
- Mapping recent (1997–2017) and future (2030) county-level social vulnerability to socio-economic conditions and natural hazards throughout Iran D. Mafi-Gholami et al. 10.1016/j.jclepro.2022.131841
- Social vulnerability assessment for an industrial city in Natech accidents: A Bayesian network approach M. Cai et al. 10.1080/10286608.2023.2211516
- Can economic development alleviate storm surge disaster losses in coastal areas of China? X. Yi et al. 10.1016/j.marpol.2021.104531
12 citations as recorded by crossref.
- An integrated risk assessment framework for multiple natural disasters based on multi-dimensional correlation analysis W. Yang et al. 10.1007/s11069-023-06159-8
- Assessing the vulnerability and risk of maize to drought in China based on the AquaCrop model X. Zhu et al. 10.1016/j.agsy.2020.103040
- High-accuracy estimation method of typhoon storm surge disaster loss under small sample conditions by information diffusion model coupled with machine learning models X. Du et al. 10.1016/j.ijdrr.2022.103307
- Assessment of social vulnerability to flood, earthquake and fire hazards Case study: districts of Sari city M. Ramzanpour et al. 10.1016/j.envdev.2025.101289
- Assessment and analysis of social vulnerability to island seismic disasters W. Ye & J. Jia 10.1016/j.ijdrr.2023.104008
- Decreasing Vulnerability of Storm Surge Disasters in Coastal Cities of China over the Past 30 Years D. Meng et al. 10.3390/jmse11010128
- Deciphering the Social Vulnerability of Landslides Using the Coefficient of Variation-Kullback-Leibler-TOPSIS at an Administrative Village Scale Y. Wang et al. 10.3390/rs17040714
- Comprehensive Assessment of Vulnerability to Storm Surges in Coastal China: Towards a Prefecture-Level Cities Perspective X. Liu et al. 10.3390/rs15194828
- Vertical spatial optimization design of drainage water treatment facilities in coastal cities under storm surge environment M. Yan et al. 10.5004/dwt.2023.30011
- Mapping recent (1997–2017) and future (2030) county-level social vulnerability to socio-economic conditions and natural hazards throughout Iran D. Mafi-Gholami et al. 10.1016/j.jclepro.2022.131841
- Social vulnerability assessment for an industrial city in Natech accidents: A Bayesian network approach M. Cai et al. 10.1080/10286608.2023.2211516
- Can economic development alleviate storm surge disaster losses in coastal areas of China? X. Yi et al. 10.1016/j.marpol.2021.104531
Latest update: 24 Jul 2025
Short summary
This study establishes an indicator system for social vulnerability evaluation of storm surges for coastal cities. The indicator system is applied to Shenzhen, China, and socioeconomic impacts are discovered in the results. Exposure, sensitivity, and resilience all show an increasing trend from 1986 to 2016, as resilience accounts for the largest increase and is connected to a decreasing social vulnerability trend.
This study establishes an indicator system for social vulnerability evaluation of storm surges...
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