Studies on marine dynamic disasters

Hu, Po; Liu, Yahao; Hou, Yijun

doi:10.1007/s00343-019-1791-x

Cited by 5 publications

(4 citation statements)

References 22 publications

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“…Therefore, the application of an advanced and comprehensive vulnerability assessment model that incorporates essential elements is fundamental for robust and accurate vulnerability mapping. In this study, after conducting an extensive literature review, we adopted the vulnerability assessment model described by Equation (1), which defines vulnerability as a function of exposure, sensitivity, and adaptability [12,18,[53][54][55][56].…”

Section: Vulnerability Assessment Modelmentioning

confidence: 99%

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Comprehensive Assessment of Vulnerability to Storm Surges in Coastal China: Towards a Prefecture-Level Cities Perspective

Liu,

Wang

et al. 2023

Remote Sensing

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China is one of the countries that suffers severe damage from storm surges. Assessing the vulnerability to storm surges holds great significance for promoting sustainable development and minimizing disaster losses in coastal areas. This study first developed a vulnerability index by integrating 15 indicators from three components (exposure, sensitivity, and adaptability) that provide a comprehensive portrayal of the multidimensional structure of vulnerability. Subsequently, the vulnerability of Chinese coastal areas was comprehensively evaluated from the perspective of prefecture-level cities using a weight combination strategy. Furthermore, spatial statistical techniques were utilized to analyze the spatial heterogeneity of vulnerability. The results show that 64% of coastal cities are classified as being in the very high and high vulnerability categories, with Zhanjiang, Lingao, Dalian, Yancheng, and Shanwei exhibiting the highest vulnerability levels. Among the provinces, Guangxi and Hainan Provinces demonstrate the highest vulnerability, with more than 90% of their coastal cities facing high vulnerability. Additionally, the vulnerability of Chinese coastal cities exhibits significant spatial heterogeneity. Specifically, coastal cities located in the Yangtze River Delta and the Pearl River Delta regions are identified as low–low (LL) vulnerability clusters, whereas high–high (HH) vulnerability clusters are observed in coastal cities within the Beibu Gulf region. These results provide valuable insights for the formulation of disaster reduction policies at the provincial level and the focus for action at the local level.

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Section: Vulnerability Assessment Modelmentioning

confidence: 99%

“…Marine dynamic disasters, including storm surges, huge waves, tsunami, and sea ice, are the most harmful natural disasters for the world's coastal countries [1]. Among them, storm surges have gained increasing attention in recent decades as the most economically devastating marine dynamic disaster affecting coastal countries worldwide.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Assessment of Vulnerability to Storm Surges in Coastal China: Towards a Prefecture-Level Cities Perspective

Liu,

Wang

et al. 2023

Remote Sensing

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“…Numerical models for storm surges have matured in terms of grid technology, dynamic frameworks, and parameterization schemes [3,11]. In the past ten years, with the rapid economic and population development in estuarine areas, simulations of storm surge inundation in estuarine areas have attracted the attention of many scholars, who have established fine grids for small regions (50-300 km) along the coast and developed storm surge inundation simulation and forecast models to support storm surge disaster prevention in coastal areas [12][13][14][15]. With enhanced computational capabilities, the land resolution in storm surge inundation models has increased from several hundred meters to 10 m, enabling block-level resolution and providing more detailed storm surge inundation simulation results [16,17].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Storm Surge Inundation in Estuarine Area Considering Multiple Influencing Factors

Fu,

Liu,

Gao

et al. 2024

Sustainability

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With global climate change, the risk of extreme storms and storm surges in estuarine areas is increasing; thus, storm surge inundation research and prediction have become important issues to ensure sustainable development in estuarine areas. The Jitimen estuary in Guangdong Province, China, was chosen as our study area. In this study, a numerical model for simulating storm surge inundation in small regions based on unstructured triangular grids was established, and the model accuracy was validated. The typhoon characteristics in the study area were statistically analyzed based on historical data. Three experimental schemes, involving factors influencing storm surge inundation, such as typhoon landfall location, intensity, and direction, were used to evaluate the differences in the numerical results. The results showed that when the typhoon landfall direction remained unchanged and the highest tide levels at the Sanzao tide gauge station were similar, the differences between the numerical results for the typhoon landfall location and typhoon intensity schemes were less than 5%, and the inundation characteristics were similar. However, when the typhoon location and intensity were unchanged and the highest tide levels at the Sanzao tide gauge station were similar, the numerical results for the typhoon landfall direction scheme significantly differed; this result was caused by the difference in the duration of the high tide level (exceeding 3 m); these results indicated that the topographic characteristics and the typhoon landing direction had a greater impact on storm surge inundation. The results from this study can aid in the prediction of storm surge inundation information for the Jitimen estuary area when the typhoon landing direction and the maximum tide level are known.

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“…The South China Sea (SCS), a primary source of water vapor for summer rainfall in China (Chow et al 2008;Lu and Hao 2017), is one of the most sensitive areas for climate change (Ose et al 1997;Yan et al 2010). The occurrence frequency of marine disasters (Fang et al 2017) and extreme weather around SCS raised rapidly in recent years (Huang et al 2021;Hu et al 2019;Proag 2021), modulating the climate in East Asia (Yao-Dong et al 2012). There are two rainy seasons in South China: the early one is from April to June, and the late one is from July to September (Yihui and Zunya 2008).…”

Section: Introductionmentioning

confidence: 99%

Assessment on the Water Vapor Flux from Atmospheric Reanalysis Data in the South China Sea on 2019 Summer

Deng

Zhang

Liu

et al. 2022

Journal of Hydrometeorology

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This paper assesses the water vapor flux performance of three reanalysis datasets (ERA5, JRA55, NCEP2) on the South China Sea. The radiosonde data was from the South China Sea Scientific Expedition organized by Sun Yat-sen University in the 2019 summer (SCSEX2019). The comparison shows that all reanalyses underestimate the temperature and specific humidity under 500 hPa. As for wind profile, the most significant difference appeared at 1800 UTC when there was no conventional radiosonde observation around the experiment area. As for the water vapor flux, ERA5 seems to give the best zonal flux but the worst meridional one. A deeper analysis shows that the bias in the wind mainly caused the difference in water vapor flux from ERA5. As for JRA55 and NCEP2, the humidity and wind field bias coincidentally canceled each other, inducing a much smaller bias, especially in meridional water vapor flux. Therefore, to get a more realistic water vapor flux, a correction in wind profile was most needed for ERA5. In contrast, the simultaneous improvement on both wind and humidity fields might produce a better water vapor flux for JRA55 and NCEP2.

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Studies on marine dynamic disasters

Cited by 5 publications

References 22 publications

Comprehensive Assessment of Vulnerability to Storm Surges in Coastal China: Towards a Prefecture-Level Cities Perspective

Comprehensive Assessment of Vulnerability to Storm Surges in Coastal China: Towards a Prefecture-Level Cities Perspective

Numerical Simulation of Storm Surge Inundation in Estuarine Area Considering Multiple Influencing Factors

Assessment on the Water Vapor Flux from Atmospheric Reanalysis Data in the South China Sea on 2019 Summer

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