Study of storm surge trends in typhoon-prone coastal areas based on observations and surge-wave coupled simulations
文献类型：期刊论文
| 作者 | Feng, Xingru1,2; Li, Mingjie4; Yin, Baoshu1,2,3; Yang, Dezhou1,2; Yang, Hongwei5 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2018-06-01 |
| 卷号 | 68页码:272-278 |
| 关键词 | Storm surge Trends Typhoon Coupled model Chinese typhoon-prone areas |
| ISSN号 | 0303-2434 |
| DOI | 10.1016/j.jag.2018.01.006 |
| 通讯作者 | Yin, Baoshu(bsyin@ms.qdio.ac.cn) |
| 英文摘要 | This is a study of the storm surge trends in some of the typhoon-prone coastal areas of China. An unstructured grid, storm surge-wave-tide coupled model was established for the coastal areas of Zhejiang, Fujian and Guangdong provinces. The coupled model has a high resolution in coastal areas, and the simulated results compared well with the in situ observations and satellite altimeter data. The typhoon-induced storm surges along the coast of the study areas were simulated based on the established coupled model for the past 20 years (1997-2016). The simulated results were used to analyze the trends of the storm surges in the study area. The extreme storm surge trends along the central coast of Fujian Province reached up to 0.06 m/y, significant at the 90% confidence level. The duration of the storm surges greater than 1.0 and 0.7 m had an increasing trend along the coastal area of northern Fujian Province, significant at confidence levels of 70%-91%. The simulated trends of the extreme storm surges were also validated by observations from two tide gauge stations. Further studies show that the correlation coefficient (Rim) between the duration of the storm surge greater than 1 m and the annual ENSO index can reach as high as 0.62, significant at the 99% confidence level. This occurred in a location where the storm surge trend was not significant. For the areas with significant increasing storm surge trends, R-TE was small and not significant. This study identified the storm surge trends for the full complex coastline of the study area. These results are useful both for coastal management by the government and for coastal engineering design. |
| 资助项目 | National Key Research and Development Program of China[2016YFC1402000] ; National Key Research and Development Program of China[2016YFC1401500] ; National Natural Science Foundation of China[41406018] ; National Natural Science Foundation of China[41476019] ; Foundation for Innovative Research Groups of the National Natural Science Foundation of China[41421005] ; NSFC-Shandong Joint Fund for Marine Science Research Centers[U1406401] ; High Performance Computing Center, IOCAS |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000429398500024 |
| 出版者 | ELSEVIER SCIENCE BV |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/158732]  |
| 专题 | 海洋研究所_海洋环流与波动重点实验室 |
| 通讯作者 | Yin, Baoshu |
| 作者单位 | 1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 2.Qingdao Natl Lab Marine Sci Technol, Funct Lab Ocean Dynam & Climate, Qingdao 266237, Peoples R China 3.Univ Chinese Acad Sci, Beying 100029, Peoples R China 4.Natl Marine Environm Forecasting Ctr, Beijing 100081, Peoples R China 5.Shandong Univ Sci & Technol, Qingdao 266590, Peoples R China |
| 推荐引用方式 GB/T 7714 | Feng, Xingru,Li, Mingjie,Yin, Baoshu,et al. Study of storm surge trends in typhoon-prone coastal areas based on observations and surge-wave coupled simulations[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2018,68:272-278. |
| APA | Feng, Xingru,Li, Mingjie,Yin, Baoshu,Yang, Dezhou,&Yang, Hongwei.(2018).Study of storm surge trends in typhoon-prone coastal areas based on observations and surge-wave coupled simulations.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,68,272-278. |
| MLA | Feng, Xingru,et al."Study of storm surge trends in typhoon-prone coastal areas based on observations and surge-wave coupled simulations".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 68(2018):272-278. |
入库方式： OAI收割
来源：海洋研究所
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