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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Main Authors: Yunxia Guo, Yijun Hou, Ze Liu, Mei Du
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/12/11/1731
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spelling 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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