Simulation of storm surge inundation under different typhoon intensity scenarios: case study of Pingyang County, China

Shi, Xiaoyan; Yu, Pubing; Guo, Zhixing; Sun, Zhigang; Chen, Fuyuan; Wu, Xi; Cheng, Wenlong; Zeng, Jiye

doi:10.5194/nhess-20-2777-2020

Cited by 14 publications

(4 citation statements)

References 18 publications

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“…Similar results on the effects of different moving paths (Peng et al, 2006;Xia et al, 2008;Du et al, 2020b) and different landfall locations (Peng et al, 2006) on storm inundation have been documented. In addition, the storm intensity and translation speed further contribute to the difference, when the two typhoons passed through the Shandong Peninsula, TY9216 showed a weaker central maximum wind speed but a faster translation speed than TY1909 (Figure 1), and the stronger typhoon intensity (Rego and Li, 2009;Shi et al, 2020;Du et al, 2020b) and slower typhoon translation speed (Peng et al, 2006;Rego and Li, 2009;Sahoo and Bhaskaran, 2018) have been suggested to cause more severe coastal inundation.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, studies on storm inundation have always been popular research topics in recent years. Many factors contributing to storm inundation, such as storm surge barrier installation (Shim et al, 2013), resolution of unstructured mesh (Kress et al, 2016), wave setup (Krien et al, 2017;Murty et al, 2020), storm incident angles (Sahoo and Bhaskaran, 2018;Wu et al, 2018), typhoon translation speed (Sahoo and Bhaskaran, 2018;Wu et al, 2018;Du et al, 2020b), typhoon path (Peng et al, 2006;Du et al, 2020b), typhoon intensity (Shi et al, 2020), radius of maximum winds (Rego and Li, 2009), sea level rise (Zhang et al, 2013;Pan and Liu, 2019;Miller and Shirzaei, 2021), storm surge temporal variability (Höffken et al, 2020) and subsidence (Miller and Shirzaei, 2021), have been explored.…”

Section: Introductionmentioning

confidence: 99%

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Numerical study of storm surge-induced coastal inundation in Laizhou Bay, China

Zhao

et al. 2022

Front. Mar. Sci.

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Storm surge inundation can induce great disasters in coastal regions, and Laizhou Bay (LZB), located in the Bohai Sea, is a bay that frequently experiences coastal storm flooding. In this study, we perform a numerical study of the effects of wind and waves on the storm surge-induced coastal inundation in the LZB using the coupled model ADCIRC+SWAN. Two historical typhoons (No. 9216 Typhoon Polly (TY9216) and No. 1909 Typhoon Lekima (TY1909)) are considered, wave effects in terms of wind-wave-induced surface stress and radiation stress are included, and two widely used wind data sources (CFS and ERA5) are used. The results indicate that the total inundation area and average inundation depth in the LZB during TY1909 are 10.70%-19.16% larger than during TY9216, and the CFS wind field reproduces a 14.31%-23.05% more intense inundation simulation than does the ERA5 wind field. The wave-induced surface stress plays the primary role in increasing the inundation area and average depth by up to 11.42%-18.50% and 5.82%-8.75%, respectively, and the wave-induced radiation stress also increases the inundation area and average depth by 3.80%-6.60% and 3.70%-4.57%, respectively. The results highlight the importance of considering wave effects in storm surge-induced coastal inundation simulations, and we demonstrate that the wave effects on the inundation area can be quite sensitive to the choice of wind field source.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Numerical study of storm surge-induced coastal inundation in Laizhou Bay, China

Zhao

et al. 2022

Front. Mar. Sci.

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“…We tried to separate the impact of the storm surges from the integrated statistics by dividing the study areas into two zones with elevations above 5 m and below 5 m (where storm surges may impact), but the difference was not evident. Therefore, we only took the MWS of TCs as hazard factor, while recognizing that the intensity of rainfall and storm surges are also closely related to MWS (Shi et al 2020). The constructed TC disaster loss curves represent the overall vulnerability of the exposure units to MWS, and indirectly to the intensity of heavy rainfall and even storm surges that larger scale TCs can bring.…”

Section: Vulnerability and Disaster Loss Curvesmentioning

confidence: 99%

Rapid Damage Prediction and Risk Assessment for Tropical Cyclones at a Fine Grid in Guangdong Province, South China

Ning

Wang

et al. 2023

Int J Disaster Risk Sci

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Rapid damage prediction for wind disasters is significant in emergency response and disaster mitigation, although it faces many challenges. In this study, a 1-km grid of wind speeds was simulated by the Holland model using the 6-h interval records of maximum wind speed (MWS) for tropical cyclones (TC) from 1949 to 2020 in South China. The MWS during a TC transit was used to build damage rate curves for affected population and direct economic losses. The results show that the Holland model can efficiently simulate the grid-level MWS, which is comparable to the ground observations with R2 of 0.71 to 0.93 and mean absolute errors (MAEs) of 3.3 to 7.5 m/s. The estimated damage rates were in good agreement with the reported values with R2 = 0.69–0.87 for affected population and R2 = 0.65–0.84 for GDP loss. The coastal areas and the Guangdong-Hong Kong-Macao Greater Bay Area have the greatest risk of wind disasters, mainly due to the region’s high density of population and developed economy. Our proposed method is suitable for rapid damage prediction and supporting emergency response and risk assessment at the community level for TCs in the coastal areas of China.

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“…At the same time, hydrodynamic models have been widely used to simulate flood extent due to single or multiple flood drivers (Yin et al, 2016;Wang et al, 2018;Shi et al, 2020). Hydrodynamic models are effective in simulating the consequences of rainfall-runoff and storm surge during typhoon events (Kumbier et al, 2018;Bevacqua et al, 2019;Zellou and Rahali, 2019) and can improve our understanding of region-specific hydrodynamics and the genesis mechanisms of compound flooding scenarios (Xu et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Combining statistical and hydrodynamic models to assess compound flood hazards from rainfall and storm surge: a case study of Shanghai

Xu,

Ragno,

Jonkman

et al. 2023

Preprint

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Abstract. Coastal regions have experienced significant environmental changes and increased vulnerability to floods caused by the combined effect of multiple flood drivers such as storm surge, heavy rainfall, and river discharge, i.e., compound floods. Hence, for a sustainable development of coastal cities, it is necessary to understand the spatiotemporal dynamics and future trends of compound flood hazard. While the statistical dependence between flood drivers, i.e., rainfall and storm surges, has been extensively studied, the sensitivity of the inundated areas to the relative timing of driver’s individual peaks is less understood and location dependent. To fill this gap, here we propose a framework combining a statistical dependence model for compound event definition and a hydrodynamic model to assess inundation maps of compound flooding from storm surge and rainfall during typhoon season in Shanghai. First, we determine the severity of the joint design event, i.e., peak surge and precipitation, based on the copula model. Second, we use the Same Frequency Amplification (SFA) method to transform the design event values in hourly timeseries so that they represent boundary conditions to force hydrodynamic models. Third, we assess the sensitivity of inundation maps to the time lag between storm surge peak and rainfall. Finally, we define flood zones based on the primary flood driver and we delineate flood zones under the worst compound flood scenario. The study highlights that the temporal delay between storm surge and rainfall plays a pivotal role in shaping the dynamics of flooding events. More specifically, the worst conditions in terms of cumulative inundation depth occur when rainfall precedes the storm surge peak. At the same time, the results show that in Shanghai surge is the primary flood driver. High storm surge at the eastern part of the city (Wusongkou tidal gauge) propagate upstream in the Huangpu River resulting in fluvial flooding in Shanghai city center and several surrounding districts. This calls for a better fluvial flooding control system hinging on the backwater effect during high surge in the upper and middle Huangpu River and in the newly added urbanized areas to ensure flood resilience. The proposed framework is useful to evaluate and predict flood hazard in coastal cities, and the results can provide guidance for urban disaster prevention and mitigation.

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Simulation of storm surge inundation under different typhoon intensity scenarios: case study of Pingyang County, China

Cited by 14 publications

References 18 publications

Numerical study of storm surge-induced coastal inundation in Laizhou Bay, China

Numerical study of storm surge-induced coastal inundation in Laizhou Bay, China

Rapid Damage Prediction and Risk Assessment for Tropical Cyclones at a Fine Grid in Guangdong Province, South China

Combining statistical and hydrodynamic models to assess compound flood hazards from rainfall and storm surge: a case study of Shanghai

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