Articles | Volume 21, issue 1
https://doi.org/10.5194/nhess-21-439-2021
© Author(s) 2021. 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-21-439-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Jan 2021
Research article |
| 29 Jan 2021
| 29 Jan 2021
Assessing and zoning of typhoon storm surge risk with a geographic information system (GIS) technique: a case study of the coastal area of Huizhou
College of Marine Science and Technology, China University of
Geosciences, Wuhan, 430074, China
College of Marine Science and Technology, China University of
Geosciences, Wuhan, 430074, China
Shenzhen Research Institute, China University of Geosciences,
Shenzhen, 518057, China
College of Life Sciences and Oceanography, Shenzhen University,
Shenzhen, 518060, China
Zhenfeng Yao
Department of Natural Resources of Huizhou Bureau, Huizhou, 516001,
China
Jia Gao
College of Marine Science and Technology, China University of
Geosciences, Wuhan, 430074, China
Enjin Zhao
College of Marine Science and Technology, China University of
Geosciences, Wuhan, 430074, China
Lizhe Wang
College of Computer Science, China University of Geosciences, Wuhan, 430074, China
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Cited
21 citations as recorded by crossref.
- A Question and Answering Service of Typhoon Disasters Based on the T5 Large Language Model Y. Xia et al. 10.3390/ijgi13050165
- Quantitative study of storm surge risk assessment in an undeveloped coastal area of China based on deep learning and geographic information system techniques: a case study of Double Moon Bay L. Yu et al. 10.5194/nhess-24-2003-2024
- A quantitative method for the similarity assessment of typhoon tracks Y. Di et al. 10.1007/s11069-021-05195-6
- Improved elasticity estimation model for typhoon storm surge losses in China X. Sui et al. 10.1007/s11069-022-05768-z
- Warning water level determination and its spatial distribution in coastal areas of China S. Liu et al. 10.5194/nhess-23-127-2023
- Assessing storm surge compound disasters risk: A case study of the coastal area of Qingdao S. Tian et al. 10.1016/j.ocecoaman.2025.107593
- Comprehensive economic losses assessment of storm surge disasters using open data: a case study of Zhoushan, China B. Chen et al. 10.2166/wcc.2024.731
- Numerical study of storm surge-induced coastal inundation in Laizhou Bay, China Z. Li et al. 10.3389/fmars.2022.952406
- Assessment of future flood risk induced by sea level rise and tropical cyclones under global warming in the Xiamen Bay, Fujian, China W. Guo et al. 10.3389/fmars.2023.1103279
- Potential impacts of storm surge-induced flooding based on refined exposure estimation: a case study in Zhoushan island, China B. Chen et al. 10.1080/19475705.2023.2232080
- A global analysis of coastal flood risk to the petrochemical distribution network in a changing climate K. Capshaw & J. Padgett 10.1016/j.rcns.2022.10.002
- From risk to resilience: geospatial decision support tool and adaptation strategies for coastal flooding in Rodrigues Island J. Doorga et al. 10.1007/s10584-025-03930-7
- Risk assessment for typhoon storm surges using geospatial techniques for the coastal areas of Guangdong, China C. Zhang et al. 10.1016/j.ocecoaman.2021.105880
- Development of black ice prediction model using GIS-based multi-sensor model validation S. Hong et al. 10.5194/nhess-22-3435-2022
- The utilization of physically based models and GIS techniques for comprehensive risk assessment of storm surge: A case study of Huizhou S. Wang et al. 10.3389/fmars.2022.939380
- Surging seas, rising sea levels, and sinking communities: The urgent need for climate adaptation in small island states J. Doorga et al. 10.1016/j.envsci.2024.103788
- Typhoon and Storm Surge Hazard Analysis Along the Coast of Zhejiang Province in China Using TCRM and Machine Learning Y. Fang et al. 10.3390/jmse13061017
- Geospatial modeling of the tropical cyclone risk in the Guangdong Province, China M. Zhou et al. 10.1080/19475705.2021.1972046
- Storm Surge Risk Assessment Based on LULC Identification Utilizing Deep Learning Method and Multi-Source Data Fusion: A Case Study of Huizhou City L. Yu et al. 10.3390/rs17040657
- Application of Convolutional Neural Network to GIS and Physics J. Liu et al. 10.1155/2022/8559343
- Quantitative risk assessment of storm surge using GIS techniques and open data: A case study of Daya Bay Zone, China S. Wang et al. 10.1016/j.jenvman.2021.112514
21 citations as recorded by crossref.
- A Question and Answering Service of Typhoon Disasters Based on the T5 Large Language Model Y. Xia et al. 10.3390/ijgi13050165
- Quantitative study of storm surge risk assessment in an undeveloped coastal area of China based on deep learning and geographic information system techniques: a case study of Double Moon Bay L. Yu et al. 10.5194/nhess-24-2003-2024
- A quantitative method for the similarity assessment of typhoon tracks Y. Di et al. 10.1007/s11069-021-05195-6
- Improved elasticity estimation model for typhoon storm surge losses in China X. Sui et al. 10.1007/s11069-022-05768-z
- Warning water level determination and its spatial distribution in coastal areas of China S. Liu et al. 10.5194/nhess-23-127-2023
- Assessing storm surge compound disasters risk: A case study of the coastal area of Qingdao S. Tian et al. 10.1016/j.ocecoaman.2025.107593
- Comprehensive economic losses assessment of storm surge disasters using open data: a case study of Zhoushan, China B. Chen et al. 10.2166/wcc.2024.731
- Numerical study of storm surge-induced coastal inundation in Laizhou Bay, China Z. Li et al. 10.3389/fmars.2022.952406
- Assessment of future flood risk induced by sea level rise and tropical cyclones under global warming in the Xiamen Bay, Fujian, China W. Guo et al. 10.3389/fmars.2023.1103279
- Potential impacts of storm surge-induced flooding based on refined exposure estimation: a case study in Zhoushan island, China B. Chen et al. 10.1080/19475705.2023.2232080
- A global analysis of coastal flood risk to the petrochemical distribution network in a changing climate K. Capshaw & J. Padgett 10.1016/j.rcns.2022.10.002
- From risk to resilience: geospatial decision support tool and adaptation strategies for coastal flooding in Rodrigues Island J. Doorga et al. 10.1007/s10584-025-03930-7
- Risk assessment for typhoon storm surges using geospatial techniques for the coastal areas of Guangdong, China C. Zhang et al. 10.1016/j.ocecoaman.2021.105880
- Development of black ice prediction model using GIS-based multi-sensor model validation S. Hong et al. 10.5194/nhess-22-3435-2022
- The utilization of physically based models and GIS techniques for comprehensive risk assessment of storm surge: A case study of Huizhou S. Wang et al. 10.3389/fmars.2022.939380
- Surging seas, rising sea levels, and sinking communities: The urgent need for climate adaptation in small island states J. Doorga et al. 10.1016/j.envsci.2024.103788
- Typhoon and Storm Surge Hazard Analysis Along the Coast of Zhejiang Province in China Using TCRM and Machine Learning Y. Fang et al. 10.3390/jmse13061017
- Geospatial modeling of the tropical cyclone risk in the Guangdong Province, China M. Zhou et al. 10.1080/19475705.2021.1972046
- Storm Surge Risk Assessment Based on LULC Identification Utilizing Deep Learning Method and Multi-Source Data Fusion: A Case Study of Huizhou City L. Yu et al. 10.3390/rs17040657
- Application of Convolutional Neural Network to GIS and Physics J. Liu et al. 10.1155/2022/8559343
- Quantitative risk assessment of storm surge using GIS techniques and open data: A case study of Daya Bay Zone, China S. Wang et al. 10.1016/j.jenvman.2021.112514
Latest update: 30 Jun 2025
Short summary
The study provides a comprehensive assessment and zonation of hazard, vulnerability, and risk of storm surge caused by the designed typhoon scenarios in the coastal area of Huizhou. The risk maps can help decision-makers to develop evacuation strategies to minimize civilian casualties. The risk analysis can be utilized to identify risk regions to reduce economic losses. The proposed methodology and procedure can be applied to any coastal city in China for making risk assessments.
The study provides a comprehensive assessment and zonation of hazard, vulnerability, and risk of...
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