{"title":"开发一个过程驱动的动态海岸堤岸长期演变形态模型","authors":"M. O’Shea, Jimmy Murphy","doi":"10.4236/ojms.2020.103007","DOIUrl":null,"url":null,"abstract":"Numerical modelling of coastal morphology is a complex and sometimes \nunrewarding exercise and often not yielding tangible results. Typically, the \nunderlying drivers of morphology are not properly accounted for in numerical \nmodels. Such inaccuracies combined with a paucity of validation data create a \ndifficulty for coastal planners/engineers who are required to interpret such \nmorphological models to develop coastal management strategies. This study \ndevelops an approach to long term morphological modelling of a barrier beach system \nthat includes the findings of over 10 years of coastal monitoring on a dynamic \ncoastal system. The novel approach to predicting the long term evolution of the \narea combines a mix of short term hydrodynamic monitoring and long term \nmorphological modelling to predict future changes in a breached barrier system. \nA coupled wave, wind, hydrodynamic and sediment transport numerical model was \nused to predict the coastal evolution in the dynamic barrier beach system of \nInner Dingle Bay, Co. Kerry, Ireland. The modelling approach utilizes the \nschematisation of inputs to reflect observed trends. The approach is subject to \ntwo stages of validation both quantitative and qualitative. The study \nhighlights the importance of considering all the parameters responsible for \ndriving coastal evolution and the necessity to have long term monitoring \nresults for trend based validation.","PeriodicalId":65849,"journal":{"name":"海洋科学期刊(英文)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Developing a Process Driven Morphological Model for Long Term Evolution of a Dynamic Coastal Embayment\",\"authors\":\"M. O’Shea, Jimmy Murphy\",\"doi\":\"10.4236/ojms.2020.103007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Numerical modelling of coastal morphology is a complex and sometimes \\nunrewarding exercise and often not yielding tangible results. Typically, the \\nunderlying drivers of morphology are not properly accounted for in numerical \\nmodels. Such inaccuracies combined with a paucity of validation data create a \\ndifficulty for coastal planners/engineers who are required to interpret such \\nmorphological models to develop coastal management strategies. This study \\ndevelops an approach to long term morphological modelling of a barrier beach system \\nthat includes the findings of over 10 years of coastal monitoring on a dynamic \\ncoastal system. The novel approach to predicting the long term evolution of the \\narea combines a mix of short term hydrodynamic monitoring and long term \\nmorphological modelling to predict future changes in a breached barrier system. \\nA coupled wave, wind, hydrodynamic and sediment transport numerical model was \\nused to predict the coastal evolution in the dynamic barrier beach system of \\nInner Dingle Bay, Co. Kerry, Ireland. The modelling approach utilizes the \\nschematisation of inputs to reflect observed trends. The approach is subject to \\ntwo stages of validation both quantitative and qualitative. The study \\nhighlights the importance of considering all the parameters responsible for \\ndriving coastal evolution and the necessity to have long term monitoring \\nresults for trend based validation.\",\"PeriodicalId\":65849,\"journal\":{\"name\":\"海洋科学期刊(英文)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"海洋科学期刊(英文)\",\"FirstCategoryId\":\"1089\",\"ListUrlMain\":\"https://doi.org/10.4236/ojms.2020.103007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"海洋科学期刊(英文)","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.4236/ojms.2020.103007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Developing a Process Driven Morphological Model for Long Term Evolution of a Dynamic Coastal Embayment
Numerical modelling of coastal morphology is a complex and sometimes
unrewarding exercise and often not yielding tangible results. Typically, the
underlying drivers of morphology are not properly accounted for in numerical
models. Such inaccuracies combined with a paucity of validation data create a
difficulty for coastal planners/engineers who are required to interpret such
morphological models to develop coastal management strategies. This study
develops an approach to long term morphological modelling of a barrier beach system
that includes the findings of over 10 years of coastal monitoring on a dynamic
coastal system. The novel approach to predicting the long term evolution of the
area combines a mix of short term hydrodynamic monitoring and long term
morphological modelling to predict future changes in a breached barrier system.
A coupled wave, wind, hydrodynamic and sediment transport numerical model was
used to predict the coastal evolution in the dynamic barrier beach system of
Inner Dingle Bay, Co. Kerry, Ireland. The modelling approach utilizes the
schematisation of inputs to reflect observed trends. The approach is subject to
two stages of validation both quantitative and qualitative. The study
highlights the importance of considering all the parameters responsible for
driving coastal evolution and the necessity to have long term monitoring
results for trend based validation.