Development of a novel storm surge inundation model framework for efficient prediction

doi:10.5194/gmd-17-5497-2024

IOCAS-IR > 海洋环流与波动重点实验室

	Development of a novel storm surge inundation model framework for efficient prediction
	Gao, Xuanxuan1,3 ; Li, Shuiqing 1,2,3,4; Mo, Dongxue 1,2,3,4; Liu, Yahao 1,2,3,4; Hu, Po1,2,3,4
	2024-07-23
发表期刊	GEOSCIENTIFIC MODEL DEVELOPMENT
ISSN	1991-959X
卷号	17 期号:14 页码:5497-5509
通讯作者	Li, Shuiqing([email protected]) ; Hu, Po([email protected])
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.
DOI	10.5194/gmd-17-5497-2024
收录类别	SCI
语种	英语
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
WOS类目	Geosciences, Multidisciplinary
WOS记录号	WOS:001274224100001
出版者	COPERNICUS GESELLSCHAFT MBH
WOS关键词	FLOOD INUNDATION ; CELLULAR-AUTOMATA ; RESOLUTION ; UNCERTAINTY ; PARALLEL
引用统计
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/186157
专题	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.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Observat & Forecasting, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 2.Qingdao Marine Sci & Technol Ctr, Lab Ocean & Climate Dynam, Qingdao 266237, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China
第一作者单位	中国科学院海洋研究所
通讯作者单位	中国科学院海洋研究所
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.