Development of a novel storm surge inundation model framework for efficient prediction
文献类型：期刊论文
| 作者 | Gao, Xuanxuan1,3 ; Li, Shuiqing1,2,3,4; Mo, Dongxue1,2,3,4; Liu, Yahao1,2,3,4; Hu, Po1,2,3,4
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| 刊名 | GEOSCIENTIFIC MODEL DEVELOPMENT
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| 出版日期 | 2024-07-23 |
| 卷号 | 17期号:14页码:5497-5509 |
| ISSN号 | 1991-959X |
| DOI | 10.5194/gmd-17-5497-2024 |
| 通讯作者 | Li, Shuiqing(lishuiqing@qdio.ac.cn) ; Hu, Po(hupo@qdio.ac.cn) |
| 英文摘要 | Storm surge is a natural process that causes flood disasters in coastal zones and results in massive casualties and property losses. Therefore, storm surge inundation is of major concern in formulating appropriate strategies for disaster prevention and mitigation. However, traditional storm surge hydrodynamic models have large limits with respect to computational efficiency and stability in practical applications. In this study, a novel storm surge inundation model was developed based on a wetting and drying algorithm established from a simplified shallow-water momentum equation. The wetting and drying algorithm was applied to a rectangular grid that iterates through a cellular automata algorithm to improve computational efficiency. The model, referred to as the Hydrodynamical Cellular Automata Flood Model (HCA-FM), was evaluated by comparing the simulations to regional field observations and to a widely used hydrodynamic numerical model. The comparisons demonstrated that HCA-FM can reproduce the observed inundation distributions and predict results that are consistent with the numerical simulation in terms of the inundation extent and submerged depth with much improved computational efficiency (predicting inundation within a few minutes) and high stability. The results reflect significant advancement of HCA-FM toward efficient predictions of storm surge inundation and applications at large spatial scales. |
| WOS关键词 | FLOOD INUNDATION ; CELLULAR-AUTOMATA ; RESOLUTION ; UNCERTAINTY ; PARALLEL |
| 资助项目 | National Key Research and Development Program of China[2023YFC3008200] ; National Natural Science Foundation of China[42076214] ; National Natural Science Foundation of China[41976010] ; National Natural Science Foundation of China[U1706216] |
| WOS研究方向 | Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:001274224100001 |
| 出版者 | COPERNICUS GESELLSCHAFT MBH |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/186156]  |
| 专题 | 海洋研究所_海洋环流与波动重点实验室 |
| 通讯作者 | Li, Shuiqing; Hu, Po |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China 3.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Observat & Forecasting, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 4.Qingdao Marine Sci & Technol Ctr, Lab Ocean & Climate Dynam, Qingdao 266237, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gao, Xuanxuan,Li, Shuiqing,Mo, Dongxue,et al. Development of a novel storm surge inundation model framework for efficient prediction[J]. GEOSCIENTIFIC MODEL DEVELOPMENT,2024,17(14):5497-5509. |
| APA | Gao, Xuanxuan,Li, Shuiqing,Mo, Dongxue,Liu, Yahao,&Hu, Po.(2024).Development of a novel storm surge inundation model framework for efficient prediction.GEOSCIENTIFIC MODEL DEVELOPMENT,17(14),5497-5509. |
| MLA | Gao, Xuanxuan,et al."Development of a novel storm surge inundation model framework for efficient prediction".GEOSCIENTIFIC MODEL DEVELOPMENT 17.14(2024):5497-5509. |
入库方式： OAI收割
来源：海洋研究所
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