Articles | Volume 20, issue 10
https://doi.org/10.5194/nhess-20-2777-2020
© 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-20-2777-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Oct 2020
Research article |
| 21 Oct 2020
| 21 Oct 2020
Simulation of storm surge inundation under different typhoon intensity scenarios: case study of Pingyang County, China
Xianwu Shi
National Marine Hazard Mitigation Service, Beijing, 100194, China
Ocean College, Zhejiang University, Hangzhou, 310058, China
Key Laboratory of Coastal Disaster and
Protection, Ministry of Education, Hohai University, Nanjing, 210098, China
Pubing Yu
Zhejiang Institute of Hydraulics and Estuary, Hangzhou, 310020, China
Zhixing Guo
National Marine Hazard Mitigation Service, Beijing, 100194, China
Zhilin Sun
Ocean College, Zhejiang University, Hangzhou, 310058, China
Fuyuan Chen
Ocean College, Zhejiang University, Hangzhou, 310058, China
Xiuguang Wu
Ocean College, Zhejiang University, Hangzhou, 310058, China
Wenlong Cheng
Ocean College, Zhejiang University, Hangzhou, 310058, China
Jian Zeng
CORRESPONDING AUTHOR
Ocean College, Zhejiang University, Hangzhou, 310058, China
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Cited
13 citations as recorded by crossref.
- Intensity Estimation of Extreme Meteorological and Hydrological Factors Induced by Tropical Cyclones Affecting Hong Kong S. Tao et al. 10.1007/s11802-023-5120-9
- Improving storm surge simulations by considering wave-steepness-dependent drag coefficient in the northern East China Sea Z. Li et al. 10.1016/j.ocemod.2023.102283
- Quantitative assessment of building risks and loss ratios caused by storm surge disasters: A case study of Xiamen, China S. Xianwu et al. 10.1016/j.apor.2024.103934
- Developing a deep learning-based storm surge forecasting model W. Xie et al. 10.1016/j.ocemod.2023.102179
- Warning water level determination and its spatial distribution in coastal areas of China S. Liu et al. 10.5194/nhess-23-127-2023
- Hazard risk assessment of tropical cyclones based on joint probability theory S. Tao et al. 10.1007/s13131-022-2143-9
- Inundation simulation of different return periods of storm surge based on a numerical model and observational data X. Shi et al. 10.1007/s00477-021-02010-3
- 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
- Combining statistical and hydrodynamic models to assess compound flood hazards from rainfall and storm surge: a case study of Shanghai H. Xu et al. 10.5194/hess-28-3919-2024
- Numerical study of storm surge-induced coastal inundation in Laizhou Bay, China Z. Li et al. 10.3389/fmars.2022.952406
- Rapid Damage Prediction and Risk Assessment for Tropical Cyclones at a Fine Grid in Guangdong Province, South China Y. Ning et al. 10.1007/s13753-023-00485-y
- 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
- Simulation of inundation caused by typhoon-induced probable maximum storm surge based on numerical modeling and observational data S. Xianwu et al. 10.1007/s00477-021-02034-9
13 citations as recorded by crossref.
- Intensity Estimation of Extreme Meteorological and Hydrological Factors Induced by Tropical Cyclones Affecting Hong Kong S. Tao et al. 10.1007/s11802-023-5120-9
- Improving storm surge simulations by considering wave-steepness-dependent drag coefficient in the northern East China Sea Z. Li et al. 10.1016/j.ocemod.2023.102283
- Quantitative assessment of building risks and loss ratios caused by storm surge disasters: A case study of Xiamen, China S. Xianwu et al. 10.1016/j.apor.2024.103934
- Developing a deep learning-based storm surge forecasting model W. Xie et al. 10.1016/j.ocemod.2023.102179
- Warning water level determination and its spatial distribution in coastal areas of China S. Liu et al. 10.5194/nhess-23-127-2023
- Hazard risk assessment of tropical cyclones based on joint probability theory S. Tao et al. 10.1007/s13131-022-2143-9
- Inundation simulation of different return periods of storm surge based on a numerical model and observational data X. Shi et al. 10.1007/s00477-021-02010-3
- 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
- Combining statistical and hydrodynamic models to assess compound flood hazards from rainfall and storm surge: a case study of Shanghai H. Xu et al. 10.5194/hess-28-3919-2024
- Numerical study of storm surge-induced coastal inundation in Laizhou Bay, China Z. Li et al. 10.3389/fmars.2022.952406
- Rapid Damage Prediction and Risk Assessment for Tropical Cyclones at a Fine Grid in Guangdong Province, South China Y. Ning et al. 10.1007/s13753-023-00485-y
- 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
- Simulation of inundation caused by typhoon-induced probable maximum storm surge based on numerical modeling and observational data S. Xianwu et al. 10.1007/s00477-021-02034-9
Latest update: 20 Nov 2024
Short summary
This study presents a method for the calculation of storm surge inundation simulation under different typhoon intensity scenarios. The parameters including typhoon track, radius of maximum wind speed, astronomical tide, and upstream runoff under different typhoon intensity scenarios were set. The inundation extents and depths corresponding to the storm surges under different typhoon intensity scenarios were simulated in combination with the numerical model.
This study presents a method for the calculation of storm surge inundation simulation under...
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