A method for estimating the risk of fishery ports against typhoon: a case study on Dongsha fishery port
After standard seawalls have been built successfully, fishery ports become the structures most easily damaged during a typhoon. Estimating the risk of fishery ports against typhoons would be useful for identifying weaknesses and implementing corrective measures to protect fishing boats from a typhoo...
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Veröffentlicht in: | Stochastic environmental research and risk assessment 2022-07, Vol.36 (7), p.1993-2013 |
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container_title | Stochastic environmental research and risk assessment |
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creator | Zhang, Yachao Zhang, Xiaojie Qiu, Jufei Tao, Aifeng Deng, Yanfen Zhao, Jianli Wang, Jianfeng Huang, Wentao |
description | After standard seawalls have been built successfully, fishery ports become the structures most easily damaged during a typhoon. Estimating the risk of fishery ports against typhoons would be useful for identifying weaknesses and implementing corrective measures to protect fishing boats from a typhoon. This study describes a versatile methodology for conducting this type of quantitative assessment at fishery ports. The Dongsha fishery port in Zhejiang Province was selected as a case study to test the results derived from a high-precision Hydrodynamic Flexible Mesh model coupled with the Spectral Wave model. First, typhoon characteristics were assessed based on historical typhoons in the study area, and then, the wind, tide, storm surge, and waves were modeled and tide-surge interactions were investigated. Through comparisons of the destructive parameters from the typhoon assessment with the design and structural parameters of the fishery port, the level of the Dongsha fishery port against typhoons was determined to be 12, and the main weaknesses of the port’s defenses were found to be located near feature points T2, T3, T8, and T15. The results obtained demonstrate that the proposed methodology can be used to acquire valuable information on the risk of fishery ports against typhoons. |
doi_str_mv | 10.1007/s00477-022-02243-w |
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Estimating the risk of fishery ports against typhoons would be useful for identifying weaknesses and implementing corrective measures to protect fishing boats from a typhoon. This study describes a versatile methodology for conducting this type of quantitative assessment at fishery ports. The Dongsha fishery port in Zhejiang Province was selected as a case study to test the results derived from a high-precision Hydrodynamic Flexible Mesh model coupled with the Spectral Wave model. First, typhoon characteristics were assessed based on historical typhoons in the study area, and then, the wind, tide, storm surge, and waves were modeled and tide-surge interactions were investigated. Through comparisons of the destructive parameters from the typhoon assessment with the design and structural parameters of the fishery port, the level of the Dongsha fishery port against typhoons was determined to be 12, and the main weaknesses of the port’s defenses were found to be located near feature points T2, T3, T8, and T15. The results obtained demonstrate that the proposed methodology can be used to acquire valuable information on the risk of fishery ports against typhoons.</description><identifier>ISSN: 1436-3240</identifier><identifier>EISSN: 1436-3259</identifier><identifier>DOI: 10.1007/s00477-022-02243-w</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aquatic Pollution ; Boats ; Breakwaters ; Case studies ; Chemistry and Earth Sciences ; Computational Intelligence ; Computer Science ; Design parameters ; Earth and Environmental Science ; Earth Sciences ; Environment ; Finite element method ; Fisheries ; Fishing vessels ; Math. 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Estimating the risk of fishery ports against typhoons would be useful for identifying weaknesses and implementing corrective measures to protect fishing boats from a typhoon. This study describes a versatile methodology for conducting this type of quantitative assessment at fishery ports. The Dongsha fishery port in Zhejiang Province was selected as a case study to test the results derived from a high-precision Hydrodynamic Flexible Mesh model coupled with the Spectral Wave model. First, typhoon characteristics were assessed based on historical typhoons in the study area, and then, the wind, tide, storm surge, and waves were modeled and tide-surge interactions were investigated. Through comparisons of the destructive parameters from the typhoon assessment with the design and structural parameters of the fishery port, the level of the Dongsha fishery port against typhoons was determined to be 12, and the main weaknesses of the port’s defenses were found to be located near feature points T2, T3, T8, and T15. The results obtained demonstrate that the proposed methodology can be used to acquire valuable information on the risk of fishery ports against typhoons.</description><subject>Aquatic Pollution</subject><subject>Boats</subject><subject>Breakwaters</subject><subject>Case studies</subject><subject>Chemistry and Earth Sciences</subject><subject>Computational Intelligence</subject><subject>Computer Science</subject><subject>Design parameters</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environment</subject><subject>Finite element method</subject><subject>Fisheries</subject><subject>Fishing vessels</subject><subject>Math. Appl. in Environmental Science</subject><subject>Mathematical models</subject><subject>Original Paper</subject><subject>Physics</subject><subject>Probability Theory and Stochastic Processes</subject><subject>Risk</subject><subject>Statistics for Engineering</subject><subject>Storm surges</subject><subject>Typhoons</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><issn>1436-3240</issn><issn>1436-3259</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kE1LAzEQhoMoWGr_gKeA59V87W7irdRPKHjRc8hmsx9qNzWTUvbfm7qieJFhmDm8zwzvi9A5JZeUkPIKCBFlmRHGDi14tj9CMyp4kXGWq-OfXZBTtADoqwTlXClKZqhd4o2Lna9x4wN2EPuNif3Q4tg5HHp4w77BTQ-dCyPe-hABm9b0A0Qcx23n_XCNDbYGHIa4q0fsB3zjhxY68wc7QyeNeQe3-J5z9HJ3-7x6yNZP94-r5TqznIqYFYbbQkpLBVNMCcsqVjlLq1zkslKVVdRQrrhQLlVlGiKlFIxLxl1ZO1HzObqY7m6D_9glP_rV78KQXmpWSCJEQRI_R2xS2eABgmv0NiTjYdSU6EOmespUpzz1V6Z6nyA-QZDEQ-vC7-l_qE-aR3pZ</recordid><startdate>20220701</startdate><enddate>20220701</enddate><creator>Zhang, Yachao</creator><creator>Zhang, Xiaojie</creator><creator>Qiu, Jufei</creator><creator>Tao, Aifeng</creator><creator>Deng, Yanfen</creator><creator>Zhao, Jianli</creator><creator>Wang, Jianfeng</creator><creator>Huang, Wentao</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7XB</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>KR7</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0W</scope><scope>SOI</scope></search><sort><creationdate>20220701</creationdate><title>A method for estimating the risk of fishery ports against typhoon: a case study on Dongsha fishery port</title><author>Zhang, Yachao ; Zhang, Xiaojie ; Qiu, Jufei ; Tao, Aifeng ; Deng, Yanfen ; Zhao, Jianli ; Wang, Jianfeng ; Huang, Wentao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c314t-6a3c688c1429294c2b2bec1b5458b9bc91a139349e9e9baf0888423823e7de4d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aquatic Pollution</topic><topic>Boats</topic><topic>Breakwaters</topic><topic>Case studies</topic><topic>Chemistry and Earth Sciences</topic><topic>Computational Intelligence</topic><topic>Computer Science</topic><topic>Design parameters</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Environment</topic><topic>Finite element method</topic><topic>Fisheries</topic><topic>Fishing vessels</topic><topic>Math. Appl. in Environmental Science</topic><topic>Mathematical models</topic><topic>Original Paper</topic><topic>Physics</topic><topic>Probability Theory and Stochastic Processes</topic><topic>Risk</topic><topic>Statistics for Engineering</topic><topic>Storm surges</topic><topic>Typhoons</topic><topic>Waste Water Technology</topic><topic>Water Management</topic><topic>Water Pollution Control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Yachao</creatorcontrib><creatorcontrib>Zhang, Xiaojie</creatorcontrib><creatorcontrib>Qiu, Jufei</creatorcontrib><creatorcontrib>Tao, Aifeng</creatorcontrib><creatorcontrib>Deng, Yanfen</creatorcontrib><creatorcontrib>Zhao, Jianli</creatorcontrib><creatorcontrib>Wang, Jianfeng</creatorcontrib><creatorcontrib>Huang, Wentao</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Science Journals</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>DELNET Engineering & Technology Collection</collection><collection>Environment Abstracts</collection><jtitle>Stochastic environmental research and risk assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Yachao</au><au>Zhang, Xiaojie</au><au>Qiu, Jufei</au><au>Tao, Aifeng</au><au>Deng, Yanfen</au><au>Zhao, Jianli</au><au>Wang, Jianfeng</au><au>Huang, Wentao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A method for estimating the risk of fishery ports against typhoon: a case study on Dongsha fishery port</atitle><jtitle>Stochastic environmental research and risk assessment</jtitle><stitle>Stoch Environ Res Risk Assess</stitle><date>2022-07-01</date><risdate>2022</risdate><volume>36</volume><issue>7</issue><spage>1993</spage><epage>2013</epage><pages>1993-2013</pages><issn>1436-3240</issn><eissn>1436-3259</eissn><abstract>After standard seawalls have been built successfully, fishery ports become the structures most easily damaged during a typhoon. Estimating the risk of fishery ports against typhoons would be useful for identifying weaknesses and implementing corrective measures to protect fishing boats from a typhoon. This study describes a versatile methodology for conducting this type of quantitative assessment at fishery ports. The Dongsha fishery port in Zhejiang Province was selected as a case study to test the results derived from a high-precision Hydrodynamic Flexible Mesh model coupled with the Spectral Wave model. First, typhoon characteristics were assessed based on historical typhoons in the study area, and then, the wind, tide, storm surge, and waves were modeled and tide-surge interactions were investigated. Through comparisons of the destructive parameters from the typhoon assessment with the design and structural parameters of the fishery port, the level of the Dongsha fishery port against typhoons was determined to be 12, and the main weaknesses of the port’s defenses were found to be located near feature points T2, T3, T8, and T15. The results obtained demonstrate that the proposed methodology can be used to acquire valuable information on the risk of fishery ports against typhoons.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00477-022-02243-w</doi><tpages>21</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aquatic Pollution Boats Breakwaters Case studies Chemistry and Earth Sciences Computational Intelligence Computer Science Design parameters Earth and Environmental Science Earth Sciences Environment Finite element method Fisheries Fishing vessels Math. Appl. in Environmental Science Mathematical models Original Paper Physics Probability Theory and Stochastic Processes Risk Statistics for Engineering Storm surges Typhoons Waste Water Technology Water Management Water Pollution Control |
title | A method for estimating the risk of fishery ports against typhoon: a case study on Dongsha fishery port |
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