Waterlogging risk assessment of the Beijing-Tianjin-Hebei urban agglomeration in the past 60 years

Wang, Yujie; Zhai, Jianqing; Song, Lianchun

doi:10.1007/s00704-021-03670-5

Cited by 18 publications

(7 citation statements)

References 27 publications

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“…where POP and GDP are the population and GDP at 1-km grid, respectively. According to the expert scoring method, the weighting coefficients of POP and GDP are equal (Wang et al, 2021b). The expert scoring method is mainly based on the results of questionnaires to determine the weight of each evaluation index through the hundred-mark system (He et al, 2016).…”

Section: Exposure Indexmentioning

confidence: 99%

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Risk Assessment of Typhoon Disaster Chains in the Guangdong–Hong Kong–Macau Greater Bay Area, China

2022

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The typhoon disaster chain is one of the leading climate risks in constructing the Guangdong–Hong Kong–Macau Greater Bay Area (GBA). In this study, the risks of the typhoon disaster chains including typhoon-induced gales, rainstorms, and storm surges in the GBA, as well as the comprehensive risk of typhoon disaster, are investigated at county level by comprehensively analyzing the hazard, exposure, and vulnerability. The results show that the high- and very-high-risk areas of typhoon–gale disaster chain are located in Zhuhai, Zhongshan, Foshan, Dongguan, central-southern Jiangmen, southern Shenzhen, and parts of Huizhou. The high- and very high-risk areas of typhoon–rainstorm disaster chain include Zhuhai, Zhongshan, Shenzhen, central-southern Foshan, northern Dongguan, central Jiangmen, and central Huizhou. Regarding the typhoon–storm surge disaster chain, the areas at high and very high risk are located in Zhuhai, eastern Zhongshan, and the coastal areas of the Pearl River Estuary. In addition, the comprehensive risk of typhoon disaster is very high in Zhuhai and high in Zhongshan, Jiangmen, Dongguan, and Shenzhen. By verifying the spatial correlation between typhoon disaster risk indexes and actual losses, it is found that the comprehensive risk index of typhoon disaster constructed in this study can better reflect the actual losses. Overall, the findings of this study can provide a scientific basis for typhoon disaster prevention and mitigation in the GBA, and it can also serve as a reference for typhoon disaster risk research in other areas.

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Section: Exposure Indexmentioning

confidence: 99%

“…The terrain (T), river network (R), and vegetation coverage (C) are selected as the factors of vulnerability index (V r ) for the typhoon-rainstorm disaster chain in the GBA (Wang et al, 2021b). We considered elevation and slope as terrain factors affecting typhoon-rainstorm disasters (Meraj et al, 2015).…”

Section: Vulnerability Indexmentioning

confidence: 99%

Risk Assessment of Typhoon Disaster Chains in the Guangdong–Hong Kong–Macau Greater Bay Area, China

2022

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“…of transportation network and medical facilities in the urban area of Beijing are much higher than those in the suburbs (Figure 1b). In recent years, with the accelerating process of urbanization in Beijing, the problem of urban rainstorms and waterlogging has become increasingly prominent, and the range of urban waterlogging has been continuously expanded (Wang et al, 2021), which has a serious impact on the efficiency of traffic operation. For example, on July 21, 2012, Beijing was attacked by a rainstorm, with the average cumulative rainfall reaching 170 mm, which caused 1.6 million people to be affected, 79 people to die, more than 10,000 houses to collapse, and 63 roads to be seriously flooded, and the economic loss reached 116.…”

Section: Study Areamentioning

confidence: 99%

Spatial accessibility of emergency medical services under inclement weather: A case study in Beijing, China

Zhang

et al. 2022

Preprint

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Abstract. The accessibility of emergency medical services (EMSs) is not only determined by the distribution of emergency medical facilities but is also very vulnerable to weather conditions. Inclement weather could affect the efficiency of the city's traffic network and further affect the response time of EMSs, which could therefore be an essential impact factor on the safety of human lives. This study proposes an EMS-accessibility quantification method based on selected indicators and explores the influence of inclement weather on EMS accessibility and identifies the hot spots that have difficulty accessing timely EMSs. A case study was implemented in Beijing, which is a typical megacity in China, based on the ground-truth traffic data of the whole city in 2019. The results show that inclement weather has a general negative impact on EMS accessibility. The 15-min EMS coverage rate of the area could have a maximum reduction of 13 % at the citywide scale and could reach over 40 % in some suburban townships. Although on the whole, the urban area would have more traffic speed reduction, towns with lower baseline EMS accessibility is more vulnerable to inclement weather, furthermore, the proportion of elderly population in these towns is also higher than the average level of the whole city. Under the worst scenario in 2019, 12.6 % of population (about 3.5 million) could not get EMS within 15 minutes, compared to 7.5 % with the normal condition. This study could provide a scientific reference for city planning departments to optimize traffic under inclement weather and the site selection of emergency medical facilities.

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“…A significant amount of work on flood impacts in Egypt has not been integrated with spatial planning practices, and spatial planning projects at the local level have not mandated flood risk assessments, resulting in increased flood risk (Esmaiel et al, 2022). What is more, the existent studies also have limitations that can be described as follows: The risk was determined by considering only the hazard and loss components or the vulnerability of social aspects rather than the underlying surface (Alfieri et al, 2017; Anelli et al, 2022; Dong et al, 2020; Li et al, 2020; Merz et al, 2010; Wang, Zhai, & Song, 2021; Wolf & McGregor, 2013; Xu et al, 2016). Absence of spatial analysis and just a part of the city was analyzed instead of city‐wide (Chen et al, 2022; Ciullo et al, 2017; Joyce et al, 2018; Mancini et al, 2020; Martínez‐Solanas & Basagaña, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…1. The risk was determined by considering only the hazard and loss components or the vulnerability of social aspects rather than the underlying surface (Alfieri et al, 2017;Anelli et al, 2022;Dong et al, 2020;Li et al, 2020;Merz et al, 2010;Wang, Zhai, & Song, 2021;Wolf & McGregor, 2013;Xu et al, 2016). 2.…”

Section: Introductionmentioning

confidence: 99%

Rainstorm and high‐temperature disaster risk assessment of territorial space in Beijing, China

Cheng

Fang

et al. 2023

Meteorological Applications

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It is important for territorial spatial planning to master meteorological disaster risk under the conditions of climate change and then carry out risk adaptation planning according to local conditions. Taking Beijing, a large city in China, as an example, a meteorological disaster risk assessment model was established based on the framework of hazard factors, disaster‐bearing body exposure, and vulnerability of underlying surface. Combined with 11 years of observation data from 293 high‐density weather stations, the rainstorm and high‐temperature risks of urban, agriculture, and ecological spaces were studied. The results show that (1) rainstorms and high‐temperature are mainly distributed in the built‐up areas of plain towns, which are the climate risk factors that need to be considered. (2) The central city of Beijing is at a high risk of rainstorms and high temperature, indicating that the underlying surface and disaster‐bearing body are highly vulnerable to meteorological disasters. (3) In suburbs with agricultural land, there is a certain rainstorm risk in Fangshan and Daxing districts, and a risk of high temperatures in the southern part of Tongzhou and Daxing. (4) The risk of high temperatures in the ecological space (eco‐zone) is relatively low, but the rainstorm risk is relatively high in Pinggu and Miyun. (5) The strategies of coping with rainstorm and high‐temperature disaster risk in Beijing's territorial space planning were discussed.

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Waterlogging risk assessment of the Beijing-Tianjin-Hebei urban agglomeration in the past 60 years

Cited by 18 publications

References 27 publications

Risk Assessment of Typhoon Disaster Chains in the Guangdong–Hong Kong–Macau Greater Bay Area, China

Risk Assessment of Typhoon Disaster Chains in the Guangdong–Hong Kong–Macau Greater Bay Area, China

Spatial accessibility of emergency medical services under inclement weather: A case study in Beijing, China

Rainstorm and high‐temperature disaster risk assessment of territorial space in Beijing, China

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