Mapping Sea Level Rise Behavior in an Estuarine Delta System: A Case Study along the Shanghai Coast

Cheng, Heqin; Chen, J.Y.; Chen, Z.J.; Ruan, R.; Xu, Guoce; Zeng, Gang; Jian, Zhu; Dai, Zhijun; Chen, X.Y.; Gu, Sen; Zhang, X.L.; Wang, H.M.

doi:10.1016/j.eng.2018.02.002

Cited by 25 publications

(20 citation statements)

References 47 publications

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“…(2) The city center on both sides of the Huangpu River: Climate change and sea level rise will increase the intensity of storm surges, causing the Huangpu River to fill with saltwater and influence the urban areas [60]. (3) The southeast corner of the coast: Consistent with the results of related research [61], the increases in the seawater temperature and the dissolved CO 2 concentration in seawater will lead to acidification of marine water, changing the composition of the water. In recent years, typhoons have occurred, and the rising water level will result in increases in the frequency and intensity of storm tides, which will significantly affect the ecological safety of this region.…”

Section: Distribution Of Areas Of High Vulnerability To Climate Changsupporting

confidence: 73%

Spatial Assessment of Urban Climate Change Vulnerability during Different Urbanization Phases

Zhou

et al. 2019

Sustainability

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In urban areas, concentrated populations and societal changes intensify the influence of climate change. However, few studies have focused on vulnerability to climate-related risks on the scale of a single urban area. Against this backdrop, we reconstructed a spatial vulnerability framework based on the drivers-pressures-state-impact-response (DPSIR) model to reflect the complex interactions between urbanization and climate change and to integrate the natural and socio-economic factors of urban areas into this framework. Furthermore, to explore the relationship between rapid urbanization and climate change, we studied data from two years that represented different stages of urbanization. The results showed that the index framework was able to reconcile these two concepts to reflect the complex interactions between urbanization and climate change. The assessment results indicate that the overall degree of climate change vulnerability exhibits a generally increasing and dispersing trend after rapid urbanization. The increasing trend is influenced by an increase in low-vulnerability areas, and the dispersing trend is influenced by anthropogenic activities caused by rapid urbanization. The changes are reflected in the following observations: 1. The suburbs are affected by their own natural environmental characteristics and rapid urbanization; the vulnerability level has risen in most areas but has declined in certain inland areas. 2. High-vulnerability regions show minor changes during this stage due to the lasting impact of climate change. Finally, the main environmental problems faced by high-vulnerability areas are discussed based on existing research.

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Section: Distribution Of Areas Of High Vulnerability To Climate Changsupporting

confidence: 73%

Spatial Assessment of Urban Climate Change Vulnerability during Different Urbanization Phases

Zhou

et al. 2019

Sustainability

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“…计算公式为 [37] . 未来气候变化、海平面上升、地面沉降和社会经济发展将使上海所面临的极端风暴洪水风险持续上升 [33,57,61,62] . 理解和降低极端风暴洪水风险, 增强城市洪水韧性是上海城市可持续发展面临的严峻挑战.…”

Section: 式中 Ead为年期望损失; X为洪灾损失(或风险值); F(x)unclassified

Flood risk dynamics and adaptation analyses for coastal cities based on internet big data and hydrology-hydrodynamic models

Shan

Wang

et al. 2021

Chin. Sci. Bull.

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“…The loss of household appliances and furniture H [CNY] is closely related to water depth and can be calculated according to Equation (9).…”

Section: Loss Analysis Of Wall Coatingmentioning

confidence: 99%

“…Located at the mouth of the Yangtze River, Shanghai is one of the most exposed coastal megacities to extreme flooding, caused by a typhoon induced storm surge in combination with a high astronomic tide, heavy rain, and a fluvial flood [1][2][3][4][5][6][7][8]. Moreover, climate change, sea level rise, land subsidence and rapid urban growth will significantly increase the risk of extreme flooding for Shanghai in the future [1,2,4,5,[9][10][11][12]. Therefore, understanding the risk and implementing effective risk-reduction measures to manage and mitigate the risk are urgently needed for urban sustainable development in Shanghai.…”

Section: Introductionmentioning

confidence: 99%

Scenario-Based Extreme Flood Risk of Residential Buildings and Household Properties in Shanghai

et al. 2019

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Extreme flooding usually causes huge losses of residential buildings and household properties, which is critical to flood risk analysis and flood resilience building in Shanghai. We developed a scenario-based multidisciplinary approach to analyze the exposure, losses and risks of residential buildings and household properties, and their spatial patterns at the neighborhood committee level in Shanghai, based on extreme storm flood scenarios of 1/200, 1/500, 1/1000 and 1/5000-year. Our findings show that the inundation area of the residential buildings caused by a 1/200-year storm flood reaches 24.9 km2, and the total loss of residential buildings and household properties is 29.7 billion CNY (Chinese Yuan) (or 4.4 billion USD), while the inundation area of residential buildings and the total loss increases up to 162.4 km2 and 366.0 billion CNY (or 54.2 billion USD), respectively for a 1/5000-year storm flood. The estimated average annual loss (AAL) of residential buildings and household properties for Shanghai is 590 million CNY/year (or 87.4 million USD/year), with several hot spots distributed around the main urban area and on the bank of the Hangzhou Bay. Among sixteen districts, Pudong has the highest exposure and annual expected loss, while the inner city is also subject to extreme flooding with an AAL up to near half of the total. An analysis of flood risk in each of 209 subdistricts/towns finds that those most vulnerable to storm flooding are concentrated in Pudong, Jiading, Baoshan Districts and the inner city. Our work can provide meaningful information for risk-sensitive urban planning and resilience building in Shanghai. The methodology can also be used for risk analysis in other coastal cities facing the threat of storm flooding.

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Mapping Sea Level Rise Behavior in an Estuarine Delta System: A Case Study along the Shanghai Coast

Cited by 25 publications

References 47 publications

Spatial Assessment of Urban Climate Change Vulnerability during Different Urbanization Phases

Spatial Assessment of Urban Climate Change Vulnerability during Different Urbanization Phases

Flood risk dynamics and adaptation analyses for coastal cities based on internet big data and hydrology-hydrodynamic models

Scenario-Based Extreme Flood Risk of Residential Buildings and Household Properties in Shanghai

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