Modeling assessment of storm surge in the Salish Sea

Yang, Zhaoqing; Wang, Taiping; Castrucci, Luca; Miller, Ian

doi:10.1016/j.ecss.2019.106552

Cited by 15 publications

(19 citation statements)

References 48 publications

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“…Third, in terms of the uncertainty of disaster occurrence, the frequency and intensity of typhoons were accumulated in the temporal and spatial dimension in our study. The characteristics of typhoon flood disasters can be further studied with the accessibility of various data such as wind field data and water level data [46], or by using a hurricane tracking model [47] or depth-damage functions [44] to estimate the risk. In addition, a more refined division of land use for production and infrastructure is necessary according to the data availability, in order to analyze the regional vulnerability in the future.…”

Section: Discussionmentioning

confidence: 99%

Direct and Indirect Economic Losses Using Typhoon-Flood Disaster Analysis: An Application to Guangdong Province, China

Gao

Geddes

2020

Sustainability

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Guangdong Province is one of China’s largest and most developed regions. It is home to more than 113 million people and features unique geographical and climatic characteristics. Typhoons that pass through often result in heavy rainfall, which causes flooding. The region’s risk of typhoon and flood disasters, and the resulting indirect economic impacts, have not been fully assessed. The purpose of this paper is to introduce a method for assessing the spatial and temporal cumulative risk of typhoon-induced flood disasters, and the resulting indirect economic impacts, in order to deal with the uncertainty of disasters. We combined an analytic hierarchy process (AHP) and spatial analysis using a geographic information system (GIS) to produce a comprehensive weighted-risk assessment from three different aspects of disaster, vulnerability, and resilience, with 11 indicators. A new method for computing risk based on spatial and temporal cumulative patterns of typhoon-induced flood disasters was introduced. We incorporated those direct impacts into a computable general equilibrium (CGE) model to simulate indirect economic losses in alternative scenarios according to different risk levels. We found that the risk in the coastal area is significantly higher than that in the northern mountainous area. The coastal areas of western Guangdong, Pearl River Delta, and Chaoshan Plain face the greatest risk. Our results indicate that typhoon and flood disasters have negative effects on the real GDP, residents’ income, consumption, and several other macroeconomic indicators. We found differing disaster impacts across industrial sectors, including changes in the output, prices, and flow of labor among industries. Our estimates provide scientific support for environmental planning, spatial planning, and disaster-risk management in this important region. They are also of reference value for the development of disaster management strategies in similar climatic regions around the world.

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Section: Discussionmentioning

confidence: 99%

Direct and Indirect Economic Losses Using Typhoon-Flood Disaster Analysis: An Application to Guangdong Province, China

Gao

Geddes

2020

Sustainability

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“…In reviewing the 5 topics covered in this SI: 1. Effects of typhoons on wave dynamics (Wang et al, 2020a;Xu et al, 2020); 2. tide and storm surge simulations (Chu et al, 2019;Guo et al, 2020;Yang et al, 2020); 3. Wave-current interaction during typhoons (Chen et al, 2019;Song et al, 2020); 4.…”

Section: Discussion and Future Research Directionsmentioning

confidence: 99%

“…In another contribution, Yang et al (2020) mainly present a modeling assessment of 34 major historic storm events from 1980 to 2016 in the Salish Sea, with the application of FVCOM. Their simulations show that the maximum storm surge in the Salish Sea is generally between 0.80 m and 1.03 m, and is spatially heterogeneous.…”

Section: Major Topics In This Si Topic 1: Effects Of Typhoons On Wave Dynamicsmentioning

confidence: 99%

“…In total, the Guest Editors of this SI received 25 submissions of which 12 were accepted for publication. Among these papers, the study areas cover the Atlantic coast (Liu et al, 2020;van der Lugt et al, 2019), the Salish Sea of the Pacific Ocean (Yang et al, 2020), the Arctic archipelago (Guo et al, 2020), the Bohai Sea (Cao et al, 2019;Song et al, 2020), the East China Sea (Chu et al, 2019;Xu et al, 2020;Wang et al, 2020a), and the South China Sea (Chen et al, 2019;Li et al, 2020;Wang et al, 2020b). Some of the presentations from the AGU Natural Hazards sessions were published elsewhere (Hegermiller et al, 2019;Kang and Xia, 2020;Shi et al, 2020).A summary of the articles contained in this SI is given in Table 1.…”

Section: Introductionmentioning

confidence: 99%

“…is used inXu et al (2020); FVCOM (Finite-Volume Community Ocean Model;Chen et al, 2003) is used inGuo et al (2020),Yang et al (2020), andChu et al, (2019); SCHISM (Simi-implicit, Cross-scale, Hydroscience, Integrated System Model;Zhang et al,2016) and ELCIRC-Sub (Eulerian-Lagrangian CIRCulation Sub-grid inundation model;Zhang et al, 2004) are used inLiu et al (2020); a coupled COAWST (Coupled Ocean-Atmosphere-Wave-Sediment-Transport;Warner et al, 2010) system is used inChen et al (2019); coupled POMgcs-SWAN (Princeton Ocean Model with a Generalized Coordinate System + SWAN;McWilliams and Restrepo, 1999;Ezer and …”

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confidence: 99%

See 2 more Smart Citations

Estuarine and coastal natural hazards: An introduction and synthesis

Veeramony

Sheremet

et al. 2020

Estuarine, Coastal and Shelf Science

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Two sessions were organized during the 2018 Fall AGU Meeting entitled, (1) Coastal Response to Extreme Events: Fidelity of Model Predictions of Surge, Inundation, and Morphodynamics and (2) Improved Observational and Modeling Skills to Understand the Hurricane and Winter Storm Induced Surge and Meteotsunami. The focus of these sessions was on examining the impact of natural disasters on estuarine and coastal regions worldwide, including the islands and mainland in the northwestern Atlantic and the northwestern Pacific. The key research interests are the investigations on the regional dynamics of storm surges, coastal inundations, waves, tides, currents, sea surface temperatures, storm inundations and coastal morphology using both numerical models and observations during tropical and extratropical cyclones. This Special Issue (SI) 'Estuarine and coastal natural hazards' in Estuarine Coastal and Shelf Science is an outcome of the talks presented at these two sessions. Five themes are considered (effects of storms on wave dynamics; tide and storm surge simulations; wave-current interaction during typhoons; wave effects on storm surges and hydrodynamics; hydrodynamic and morphodynamic responses to typhoons), arguably reflecting areas of greatest interest to researchers and policy makers. This synopsis of the articles published in the SI allows us to obtain a better understanding of the dynamics of natural hazards (e.g., storm surges, extreme waves, and storm induced inundation) from various physical aspects. The discussion in the SI explores future dimensions to comprehend numerical models with fully coupled wind-wavecurrent-morphology interactions at high spatial resolutions in the nearshore and surf zone during extreme wind events. In addition, it would be worthwhile to design numerical models incorporating climate change projections (sea level rise and global warming temperatures) for storm surges and coastal inundations to allow more precisely informed coastal zone management plans.

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Regional Storm Surge Forecast Method Based on a Neural Network and the Coupled ADCIRC-SWAN Model

Sun,

Hu,

et al. 2024

Adv. Atmos. Sci.

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Modeling assessment of storm surge in the Salish Sea

Cited by 15 publications

References 48 publications

Direct and Indirect Economic Losses Using Typhoon-Flood Disaster Analysis: An Application to Guangdong Province, China

Direct and Indirect Economic Losses Using Typhoon-Flood Disaster Analysis: An Application to Guangdong Province, China

Estuarine and coastal natural hazards: An introduction and synthesis

Regional Storm Surge Forecast Method Based on a Neural Network and the Coupled ADCIRC-SWAN Model

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