Risk Prediction of Coastal Hazards Induced by Typhoon: A case study in the Coastal Region of Shenzhen, China
This study presents a risk prediction of coastal hazards induced by typhoons, which are a severe natural hazard that often occur in coastal regions. Taking the coastal hazards happened in Shenzhen as a case study, where is a southeast coastal city of China, we described a methodology to predict the...
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doaj-79a0798465a74ef9a608a6d6270b656e2020-11-25T02:48:58ZengMDPI AGRemote Sensing2072-42922020-05-01121731173110.3390/rs12111731Risk Prediction of Coastal Hazards Induced by Typhoon: A case study in the Coastal Region of Shenzhen, ChinaYunxia Guo0Yijun Hou1Ze Liu2Mei Du3Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, ChinaInstitute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, ChinaInstitute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, ChinaInstitute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, ChinaThis study presents a risk prediction of coastal hazards induced by typhoons, which are a severe natural hazard that often occur in coastal regions. Taking the coastal hazards happened in Shenzhen as a case study, where is a southeast coastal city of China, we described a methodology to predict the typhoon wind-surge-wave hazard. A typhoon empirical tracking model was adopted to construct full-track typhoon events for 1000 years, based on the statistical characteristics of observed typhoons from satellite imageries. For each individual typhoon, a wind-field model is applied to compute the wind speeds, while the Simulating Waves Nearshore and Advanced Circulation (SWAN+ADCIRC) coupled model is applied to simulate the significant wave heights (SWHs) and storm surge heights. By frequency distribution histogram, it is noted that there exhibits a heavy tail in the probability distribution of maximum surge heights and a thin tail of the peak wind speeds and SWHs in the coastal area of Shenzhen, China. Using the Generalized Pareto Distribution (GPD) model, the extreme values of typhoon wind-surge-wave associated with various return periods can be predicted. Taking account into the combined effects of the wind, surge and wave, the joint hazard maps of typhoon wind-surge-wave can be produced for the study area. The methodology of this case study can provide a new reference for risk prediction of coastal hazards induced by typhoon in similar coastal regions like Shenzhen, China.https://www.mdpi.com/2072-4292/12/11/1731coastal hazardsrisk predictionstorm surgewind speedsignificant wave heights |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yunxia Guo Yijun Hou Ze Liu Mei Du |
spellingShingle |
Yunxia Guo Yijun Hou Ze Liu Mei Du Risk Prediction of Coastal Hazards Induced by Typhoon: A case study in the Coastal Region of Shenzhen, China Remote Sensing coastal hazards risk prediction storm surge wind speed significant wave heights |
author_facet |
Yunxia Guo Yijun Hou Ze Liu Mei Du |
author_sort |
Yunxia Guo |
title |
Risk Prediction of Coastal Hazards Induced by Typhoon: A case study in the Coastal Region of Shenzhen, China |
title_short |
Risk Prediction of Coastal Hazards Induced by Typhoon: A case study in the Coastal Region of Shenzhen, China |
title_full |
Risk Prediction of Coastal Hazards Induced by Typhoon: A case study in the Coastal Region of Shenzhen, China |
title_fullStr |
Risk Prediction of Coastal Hazards Induced by Typhoon: A case study in the Coastal Region of Shenzhen, China |
title_full_unstemmed |
Risk Prediction of Coastal Hazards Induced by Typhoon: A case study in the Coastal Region of Shenzhen, China |
title_sort |
risk prediction of coastal hazards induced by typhoon: a case study in the coastal region of shenzhen, china |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2020-05-01 |
description |
This study presents a risk prediction of coastal hazards induced by typhoons, which are a severe natural hazard that often occur in coastal regions. Taking the coastal hazards happened in Shenzhen as a case study, where is a southeast coastal city of China, we described a methodology to predict the typhoon wind-surge-wave hazard. A typhoon empirical tracking model was adopted to construct full-track typhoon events for 1000 years, based on the statistical characteristics of observed typhoons from satellite imageries. For each individual typhoon, a wind-field model is applied to compute the wind speeds, while the Simulating Waves Nearshore and Advanced Circulation (SWAN+ADCIRC) coupled model is applied to simulate the significant wave heights (SWHs) and storm surge heights. By frequency distribution histogram, it is noted that there exhibits a heavy tail in the probability distribution of maximum surge heights and a thin tail of the peak wind speeds and SWHs in the coastal area of Shenzhen, China. Using the Generalized Pareto Distribution (GPD) model, the extreme values of typhoon wind-surge-wave associated with various return periods can be predicted. Taking account into the combined effects of the wind, surge and wave, the joint hazard maps of typhoon wind-surge-wave can be produced for the study area. The methodology of this case study can provide a new reference for risk prediction of coastal hazards induced by typhoon in similar coastal regions like Shenzhen, China. |
topic |
coastal hazards risk prediction storm surge wind speed significant wave heights |
url |
https://www.mdpi.com/2072-4292/12/11/1731 |
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