Storm Surge Inundation Modulated by Typhoon Intensities and Tracks: Simulations Using the Regional Ocean Modeling System (ROMS)

被引:2
|
作者
Qin, Gangri [1 ]
Fang, Zhen [1 ]
Zhao, Shuyu [2 ]
Meng, Yanjiahui [1 ]
Sun, Weiwei [1 ,3 ]
Yang, Gang [1 ,3 ]
Wang, Lihua [1 ,3 ]
Feng, Tian [1 ,3 ]
机构
[1] Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo 315211, Peoples R China
[2] Ningbo Meteorol Bur, Ningbo 315012, Peoples R China
[3] Ningbo Univ, Inst East China Sea, Ningbo 315211, Peoples R China
关键词
ROMS; typhoon storm surges inundation; Holland model; Ningbo; RADIATION STRESS; WAVE; WIND; COAST; HURRICANES; PROJECTION; EQUATIONS; PRESSURE; YUCATAN; IMPACT;
D O I
10.3390/jmse11061112
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Storm surges are one of the most severe marine hazards, causing fatalities and devastating infrastructure. It is important to conduct research on storm surge hazards to achieve disaster avoidance and the protection of local populations. In this study, the Regional Ocean Modeling System (ROMS) was used to develop a framework to simulate the inundation (using the wet/dry method) of land in Ningbo, China during an extreme typhoon storm surge. The baseline simulation with the realistic typhoon intensity and track was well validated by meteorological and ocean tidal observations. Using reanalysis and an asymmetric typhoon wind field from the Holland model as atmospheric forcing, we presented different storm surge inundation scenarios regarding various intensities and tracks. The results revealed that typhoon storm surges are significantly affected by both the intensities and tracks of typhoons. Specifically, when Ningbo was located in the navigable semicircle, increasing the typhoon intensity not only resulted in the total inundation area of the whole study area from 108.57 km(2) to 139.97 km(2), but also led to significant negative storm surges in some sea areas. When Ningbo was exposed to the dangerous semicircle of the intensified typhoon, the storm surge along the coast of the Xiangshan Bay could exceed 4 m, amplifying the total inundation area to 245.41 km(2). Thus, it was evident that the location of the impacted region within the typhoon's wind field plays a critical role in determining the severity of the storm surge. These results provide valuable suggestions for storm surge disaster prevention and mitigation for local governments.
引用
收藏
页数:23
相关论文
共 50 条
  • [21] MAXIMALLY-INFORMATIVE REGIONAL OCEAN MODELING SYSTEM (ROMS) NAVIGATION OF AN AUV IN UNCERTAIN OCEAN CURRENTS
    Anderson, Ross P.
    Dinolov, Georgi S.
    Milutinovic, Dejan
    Moore, Andrew M.
    PROCEEDINGS OF THE ASME 5TH ANNUAL DYNAMIC SYSTEMS AND CONTROL DIVISION CONFERENCE AND JSME 11TH MOTION AND VIBRATION CONFERENCE, DSCC 2012, VOL 3, 2013, : 291 - 297
  • [22] Dependence of submesoscale simulation on turbulence closure schemes in the Regional Ocean Modeling System (ROMS)
    Wang, Yifan
    Dong, Jihai
    Ji, Chengzhen
    Dong, Changming
    OCEAN MODELLING, 2022, 180
  • [24] Predicting Typhoon Induced Storm Surges Using the Operational Ocean Forecast System
    You, Sung Hyup
    TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES, 2010, 21 (01): : 99 - 111
  • [25] Using the Regional Ocean Modelling System (ROMS) to improve the sea surface temperature predictions of the MERCATOR Ocean System
    Costa, Pedro
    Gomez, Breogan
    Venancio, Anabela
    Perez, Eva
    Perez-Munuzuri, Vicente
    SCIENTIA MARINA, 2012, 76 : 165 - 175
  • [26] Study of storm surge due to Typhoon Linda (1997) in the Gulf of Thailand using a three dimensional ocean model
    Aschariyaphotha, N.
    Wongwises, P.
    Humphries, U. W.
    Wongwises, S.
    APPLIED MATHEMATICS AND COMPUTATION, 2011, 217 (21) : 8640 - 8654
  • [27] An evaluation of the performance of vertical mixing parameterizations for tidal mixing in the Regional Ocean Modeling System (ROMS)
    Robin Robertson
    Changming Dong
    Geoscience Letters, 6
  • [28] Dependence of submesoscale simulation on turbulence closure schemes in the Regional Ocean  Modelling Modeling System (ROMS)
    Wang, Yifan
    Dong, Jihai
    Ji, Chengzhen
    Dong, Changming
    Ocean Modelling, 2022, 180
  • [29] Assessing ecosystem response to phosphorus and nitrogen limitation in the Pearl River plume using the Regional Ocean Modeling System (ROMS)
    Gan, Jianping
    Lu, Zhongming
    Cheung, Anson
    Dai, Minhan
    Liang, Linlin
    Harrison, Paul J.
    Zhao, Xiaozheng
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2014, 119 (12) : 8858 - 8877
  • [30] An evaluation of the performance of vertical mixing parameterizations for tidal mixing in the Regional Ocean Modeling System (ROMS)
    Robertson, Robin
    Dong, Changming
    GEOSCIENCE LETTERS, 2019, 6 (01)