Articles | Volume 20, issue 6
https://doi.org/10.5194/nhess-20-1617-2020
© 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-20-1617-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimation of tropical cyclone wind hazards in coastal regions of China
Genshen Fang
State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji
University, Shanghai 200092, China
Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634, USA
Lin Zhao
CORRESPONDING AUTHOR
State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji
University, Shanghai 200092, China
Key Laboratory of Transport Industry of Wind Resistant Technology for Bridge Structures, Tongji University, Shanghai 200092, China
Shuyang Cao
State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji
University, Shanghai 200092, China
Key Laboratory of Transport Industry of Wind Resistant Technology for Bridge Structures, Tongji University, Shanghai 200092, China
Ledong Zhu
State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji
University, Shanghai 200092, China
Key Laboratory of Transport Industry of Wind Resistant Technology for Bridge Structures, Tongji University, Shanghai 200092, China
Yaojun Ge
State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji
University, Shanghai 200092, China
Key Laboratory of Transport Industry of Wind Resistant Technology for Bridge Structures, Tongji University, Shanghai 200092, China
Viewed
Total article views: 2,439 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Jan 2020)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,764 | 630 | 45 | 2,439 | 31 | 40 |
- HTML: 1,764
- PDF: 630
- XML: 45
- Total: 2,439
- BibTeX: 31
- EndNote: 40
Total article views: 1,632 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Jun 2020)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,167 | 424 | 41 | 1,632 | 27 | 34 |
- HTML: 1,167
- PDF: 424
- XML: 41
- Total: 1,632
- BibTeX: 27
- EndNote: 34
Total article views: 807 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Jan 2020)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
597 | 206 | 4 | 807 | 4 | 6 |
- HTML: 597
- PDF: 206
- XML: 4
- Total: 807
- BibTeX: 4
- EndNote: 6
Viewed (geographical distribution)
Total article views: 2,439 (including HTML, PDF, and XML)
Thereof 2,133 with geography defined
and 306 with unknown origin.
Total article views: 1,632 (including HTML, PDF, and XML)
Thereof 1,515 with geography defined
and 117 with unknown origin.
Total article views: 807 (including HTML, PDF, and XML)
Thereof 618 with geography defined
and 189 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
24 citations as recorded by crossref.
- Typhoon wind hazard estimation by full-track simulation with various wind intensity models M. Huang et al. 10.1016/j.jweia.2021.104792
- A comprehensive review on the modeling of tropical cyclone boundary layer wind field Y. Chang et al. 10.1063/5.0188832
- Stochastic model of tropical cyclones along China coast including the effects of spatial heterogeneity and ocean feedback Z. Shen & K. Wei 10.1016/j.ress.2021.108000
- Stochastic power spectra models for typhoon and non-typhoon winds: A data-driven algorithm Z. Liu et al. 10.1016/j.jweia.2022.105214
- A tropical cyclone intensity prediction model using conditional generative adversarial network X. Hong et al. 10.1016/j.jweia.2023.105515
- Toward a refined estimation of typhoon wind hazards: Parametric modeling and upstream terrain effects G. Fang et al. 10.1016/j.jweia.2020.104460
- Quantitative Risk Assessment of Population Affected by Tropical Cyclones Through Joint Consideration of Extreme Precipitation and Strong Wind—A Case Study of Hainan Province C. Meng et al. 10.1029/2021EF002365
- 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
- Parallel assessment of the tropical cyclone wind hazard at multiple locations using the probability density evolution method integrated with the change of probability measure X. Hong et al. 10.1016/j.ress.2023.109351
- Uncertainty propagation of flutter derivatives and structural damping in buffeting fragility analysis of long-span bridges using surrogate models X. Hu et al. 10.1016/j.strusafe.2023.102410
- Tropical-cyclone-wind-induced flutter failure analysis of long-span bridges G. Fang et al. 10.1016/j.engfailanal.2021.105933
- Extreme Typhoon Wind Speed Mapping for Coastal Region of China: Geographically Weighted Regression–Based Circular Subregion Algorithm G. Fang et al. 10.1061/(ASCE)ST.1943-541X.0003122
- An improved azimuth-dependent Holland model for typhoons along the Zhejiang coast prior to landfall based on WRF–ARW simulations X. Zhong et al. 10.1007/s11069-023-05944-9
- Simplified models for uncertainty quantification of extreme events using Monte Carlo technique X. Hu et al. 10.1016/j.ress.2022.108935
- Observed Surface Wind Field Structure of Severe Tropical Cyclones and Associated Precipitation R. Du et al. 10.3390/rs15112808
- Typhoon track simulations in the North West Pacific: Informing a new wind map for Vietnam C. Nguyen et al. 10.1016/j.jweia.2020.104441
- Typhoon Loss Assessment in Rural Housing in Ningbo Based on Township-Level Resolution Q. Li et al. 10.3390/app12073463
- Tropical cyclone full track simulation in the western North Pacific based on random forests M. Huang et al. 10.1016/j.jweia.2022.105119
- The Typhoon Wind Hazard Assessment Considering the Correlation among the Key Random Variables Using the Copula Method X. Hong et al. 10.1061/AJRUA6.RUENG-1018
- Enhanced Circular Subregion Method in Typhoon Hazard Analysis F. Wu et al. 10.1061/(ASCE)ST.1943-541X.0003003
- Typhoon hazard analysis based on the probability density evolution theory J. Li & X. Hong 10.1016/j.jweia.2021.104796
- Machine Learning-Based Prediction of Dynamic Responses of a Tower Crane under Strong Coastal Winds Q. Li et al. 10.3390/jmse11040803
- Aerodynamic stability evolution tendency of suspension bridges with spans from 1000 to 5000 m Y. Ding et al. 10.1007/s11709-023-0980-z
- Probabilistic Simulations for Seasonal Typhoon Genesis over the South China Sea D. Hong & T. Vinh 10.1007/s41748-021-00255-0
23 citations as recorded by crossref.
- Typhoon wind hazard estimation by full-track simulation with various wind intensity models M. Huang et al. 10.1016/j.jweia.2021.104792
- A comprehensive review on the modeling of tropical cyclone boundary layer wind field Y. Chang et al. 10.1063/5.0188832
- Stochastic model of tropical cyclones along China coast including the effects of spatial heterogeneity and ocean feedback Z. Shen & K. Wei 10.1016/j.ress.2021.108000
- Stochastic power spectra models for typhoon and non-typhoon winds: A data-driven algorithm Z. Liu et al. 10.1016/j.jweia.2022.105214
- A tropical cyclone intensity prediction model using conditional generative adversarial network X. Hong et al. 10.1016/j.jweia.2023.105515
- Toward a refined estimation of typhoon wind hazards: Parametric modeling and upstream terrain effects G. Fang et al. 10.1016/j.jweia.2020.104460
- Quantitative Risk Assessment of Population Affected by Tropical Cyclones Through Joint Consideration of Extreme Precipitation and Strong Wind—A Case Study of Hainan Province C. Meng et al. 10.1029/2021EF002365
- 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
- Parallel assessment of the tropical cyclone wind hazard at multiple locations using the probability density evolution method integrated with the change of probability measure X. Hong et al. 10.1016/j.ress.2023.109351
- Uncertainty propagation of flutter derivatives and structural damping in buffeting fragility analysis of long-span bridges using surrogate models X. Hu et al. 10.1016/j.strusafe.2023.102410
- Tropical-cyclone-wind-induced flutter failure analysis of long-span bridges G. Fang et al. 10.1016/j.engfailanal.2021.105933
- Extreme Typhoon Wind Speed Mapping for Coastal Region of China: Geographically Weighted Regression–Based Circular Subregion Algorithm G. Fang et al. 10.1061/(ASCE)ST.1943-541X.0003122
- An improved azimuth-dependent Holland model for typhoons along the Zhejiang coast prior to landfall based on WRF–ARW simulations X. Zhong et al. 10.1007/s11069-023-05944-9
- Simplified models for uncertainty quantification of extreme events using Monte Carlo technique X. Hu et al. 10.1016/j.ress.2022.108935
- Observed Surface Wind Field Structure of Severe Tropical Cyclones and Associated Precipitation R. Du et al. 10.3390/rs15112808
- Typhoon track simulations in the North West Pacific: Informing a new wind map for Vietnam C. Nguyen et al. 10.1016/j.jweia.2020.104441
- Typhoon Loss Assessment in Rural Housing in Ningbo Based on Township-Level Resolution Q. Li et al. 10.3390/app12073463
- Tropical cyclone full track simulation in the western North Pacific based on random forests M. Huang et al. 10.1016/j.jweia.2022.105119
- The Typhoon Wind Hazard Assessment Considering the Correlation among the Key Random Variables Using the Copula Method X. Hong et al. 10.1061/AJRUA6.RUENG-1018
- Enhanced Circular Subregion Method in Typhoon Hazard Analysis F. Wu et al. 10.1061/(ASCE)ST.1943-541X.0003003
- Typhoon hazard analysis based on the probability density evolution theory J. Li & X. Hong 10.1016/j.jweia.2021.104796
- Machine Learning-Based Prediction of Dynamic Responses of a Tower Crane under Strong Coastal Winds Q. Li et al. 10.3390/jmse11040803
- Aerodynamic stability evolution tendency of suspension bridges with spans from 1000 to 5000 m Y. Ding et al. 10.1007/s11709-023-0980-z
1 citations as recorded by crossref.
Latest update: 28 Mar 2024
Short summary
Coastal regions of China feature high population densities as well as flexible structures and are therefore vulnerable to tropical cyclone (TC) damage. A TC is a moving rotating storm with a small occurrence rate at a specific site. Wind anemometers are usually damaged during strong typhoon events, making the record of observed winds an unreliable predictor for design wind speed. This study uses the Monte Carlo simulation to investigate the typhoon wind hazards in coastal regions of China.
Coastal regions of China feature high population densities as well as flexible structures and...
Altmetrics
Final-revised paper
Preprint