Research on the Risk Assessment of Qingdao Marine Disaster Based on Flooding

Liao, Qi; Yu, Ge; Jiang, Wensheng; Lu, Chunxia; Ma, Yan; Liu, Kexiu; Lin, Qun; Wang, Yanping

doi:10.3390/su11020468

Cited by 8 publications

(2 citation statements)

References 41 publications

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“…Due to the serious threat of coastal flooding in the CCZ, various studies have assessed the CFR in the CCZ at various scales (Huang et al, 2017;Liao et al, 2019;Xu et al, 2021). For example, Fang et al (2016) created a GIS-based dataset of major coastal tourist attractions in the coastal area of Zhejiang province, China, to assess their potential flood risk by using a simple inundation model and a risk matrix.…”

Section: Introductionmentioning

confidence: 99%

Spatial assessment of coastal flood risk due to sea level rise in China’s coastal zone through the 21st century

Hou

Liu

et al. 2022

Front. Mar. Sci.

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Among the climate change-induced threats to coastal regions, coastal flooding caused by sea level rise (SLR) is considered one of the most serious and presents an intensifying trend over time. The negative impacts and risks associated with coastal flooding are difficult to visualize spatially and cause great inconvenience to policy-makers in understanding the distribution of different risk levels and developing adaptation policies. Our study proposes a framework for coastal flood risk (CFR) based on the hazard, exposure & sensitivity, and adaptive capacity of China’s coastal zone (CCZ) and maps the spatial distribution of CFR by GIS in 2030, 2050, and 2100 under RCP2.6-SSP1, RCP4.5-SSP2, and RCP8.5-SSP5, respectively. Our results reveal that (1) low-lying coastal areas with densely populated, economically developed, or industrially diverse are faced with serious CFRs, such as the Yellow River Delta, the Yangtze River Delta, the Pearl River Delta, and the coastal areas in Jiangsu. (2) The area of “Very high” CFR level in the CCZ reaches a peak of 44.10×103 km2 in 2100 under RCP8.5-SSP5. And under the higher emission scenario, the areas of five CFR levels would change dramatically in the future. (3) The coastal area of Guangdong is significantly faced with the massive expected population and GDP affected due to CFR among scenarios and years. (4) As threatened by CFR mostly, built-up and farmland are particularly required to guard against the negative impact of coastal flooding, especially in Guangdong and Jiangsu. Results in this study are expected to provide the intuitive information and basis for governments, policy-makers, and local communities in addressing the increased CFR over the CCZ. Besides, our framework of CFR and methodology are flexible and can be adapted for other countries facing the threat of SLR.

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Section: Introductionmentioning

confidence: 99%

Spatial assessment of coastal flood risk due to sea level rise in China’s coastal zone through the 21st century

Hou

Liu

et al. 2022

Front. Mar. Sci.

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“…Under the influence of global climate warming and human activities, the water cycle of the ecosystem speeds up and its stability decreases, leading to a sharp increase in the occurrence frequency of abnormal precipitation disasters, such as rainstorm disaster, drought disaster, flood disaster and snow disaster [1][2][3][4]. Dryness/wetness are the most common natural disasters in the world, which occur frequently, cause great losses and affect a wide range of areas [5][6][7][8][9][10]. Dryness/wetness disasters will damage the regional ecological environment, endanger the safety of human life and property, hinder social and economic development, and have a great impact on agricultural production in particular [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Characteristics of Dry–Wet Events Abrupt Alternation in Northern Shaanxi, China

Zhang

Rong

et al. 2021

Water

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In this study, Yulin city and Yan’an city in northern Shaanxi Province were taken as the study area. Based on the diurnal dry–wet events abrupt alternation index DWAAI, the joint probability distribution of two characteristic variables of “urgency” and “alternation” of dry–wet events abrupt alternation was established by using copula function, and the characteristics of dry–wet events abrupt alternation were analyzed. DWAAI was calculated from daily precipitation data and the applicability of the index was verified. On this basis, the two characteristic variables of “urgency” and “alternation” were separated, and the appropriate marginal distribution function was selected to fit them, and the correlation between the two variables was evaluated. Finally, the appropriate copula function was selected to fit the bivariate of each station, and the joint cumulative probability and recurrence period of the two variables were calculated. The results show that the DWAAI index is suitable for the identification of dry–wet events abrupt alternation in the study area. Light and moderate dry–wet events abrupt alternation occurs more frequently, while severe events rarely occur in the study area. The frequency of severe dry–wet events abrupt alternation in Jingbian station and its northern area is greater than that in the southern area, and the risk of dry–wet events abrupt alternation of disasters in the northern area is higher. The greater the degree of “urgency” and “alternation”, the greater the joint cumulative probability and the greater the return period. The return period of severe dry–wet events abrupt alternation was more than five years, while the return period of light and moderate dry–wet events abrupt alternation was less than five years.

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Flood risk assessment model combining hierarchy process and variable fuzzy set theory: a case study in Zhejiang province, China

Shen

2022

Arab J Geosci

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Research on the Risk Assessment of Qingdao Marine Disaster Based on Flooding

Cited by 8 publications

References 41 publications

Spatial assessment of coastal flood risk due to sea level rise in China’s coastal zone through the 21st century

Spatial assessment of coastal flood risk due to sea level rise in China’s coastal zone through the 21st century

Analysis of Characteristics of Dry–Wet Events Abrupt Alternation in Northern Shaanxi, China

Flood risk assessment model combining hierarchy process and variable fuzzy set theory: a case study in Zhejiang province, China

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