An Integrated Multi-Factor Coupling Approach for Marine Dynamic Disaster Assessment in China's Coastal Waters
文献类型：期刊论文
| 作者 | Zhou, Lin; Sun, Meng4,5; Liu, Yueming1; Yang, Yongzeng4,5; Su, Tianyun3,5; Jia, Zhen3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-02-01 |
| 卷号 | 15期号:3页码:838 |
| 关键词 | marine dynamic disaster assessment multi-factor coupling weighted index indicator system method Landsat 8 |
| DOI | 10.3390/rs15030838 |
| 文献子类 | Article |
| 英文摘要 | Marine dynamic disasters, such as storm surges and huge waves, can cause large economic and human losses. The assessment of marine dynamic disasters is, thus, important, but improvements to its reliability are needed. The current study improved and integrated the assessment from the perspective of multi-factor coupling. Using a weighted index system, a marine dynamic disaster assessment indicator system suitable for China's coastal waters was established, and a method for calculating the weight of disaster indicators was proposed from the perspective of rapid assessment. To reduce the assessment deviation in coastal waters, a multi-factor coupling algorithm was proposed. This algorithm obtained amplitude variations of wave orbital motion in horizontal and vertical directions, which was used to evaluate the influence of background current and terrain slope on coastal ocean waves. Landsat 8 remote sensing images were used to carry out an object-oriented extraction of raft and cage aquaculture areas in China's coastal waters. The aquaculture density was then used as the main basis for a vulnerability assessment. Finally, the whole assessment system was integrated and verified during a typical storm surge process in coastal waters around the Shandong Peninsula in China. The coupled variations were also added to the assessment process and increased the risk value by an average of 12% in the High Sea States of the case study. |
| WOS关键词 | WAVE-CURRENT INTERACTION ; WIND-DRIVEN CIRCULATION ; FINITE-VOLUME ; GRAVITY-WAVES ; SURFACE ; MODEL ; STORM ; STRESSES ; CURRENTS ; SURGES |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:000930233600001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200875]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Minist Nat Resources, Key Lab Marine Sci & Numer Modeling MASNUM, Qingdao 266061, Peoples R China 2.Natl Engn Lab Integrated Aerosp Ground Ocean Big D, Qingdao 266061, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 4.Lab Reg Oceanog & Numer Modeling, Pilot Natl Lab Marine Sci & Technol, Qingdao 266071, Peoples R China 5.Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Lin,Sun, Meng,Liu, Yueming,et al. An Integrated Multi-Factor Coupling Approach for Marine Dynamic Disaster Assessment in China's Coastal Waters[J]. REMOTE SENSING,2023,15(3):838. |
| APA | Zhou, Lin,Sun, Meng,Liu, Yueming,Yang, Yongzeng,Su, Tianyun,&Jia, Zhen.(2023).An Integrated Multi-Factor Coupling Approach for Marine Dynamic Disaster Assessment in China's Coastal Waters.REMOTE SENSING,15(3),838. |
| MLA | Zhou, Lin,et al."An Integrated Multi-Factor Coupling Approach for Marine Dynamic Disaster Assessment in China's Coastal Waters".REMOTE SENSING 15.3(2023):838. |
入库方式： OAI收割
来源：地理科学与资源研究所
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