Evaluation of Comprehensive Emergency Capacity to Urban Flood Disaster: An Example from Zhengzhou City in Henan Province, China

Li, Xianghai; Li, Mengjie; Cui, Kaikai; Lü, Tao; Xie, Yanli; Liu, Delin

doi:10.3390/su142113710

Cited by 10 publications

(10 citation statements)

References 25 publications

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“…In July 2021, the rainstorm in Zhengzhou, China caused 380 deaths and a direct economic loss of 120.06 billion yuan. Urban flood disaster has become a crucial problem restricting the healthy development of China's economy and society (Duan et al, 2022;Li et al, 2022). Urban floods can cause huge economic losses and casualties, and countries all over the world attach great importance to urban flood warning and mitigation.…”

Section: Open Access Edited Bymentioning

confidence: 99%

Urban waterlogging prediction and risk analysis based on rainfall time series features: A case study of Shenzhen

Zhang

Jian

Chen

et al. 2023

Front. Environ. Sci.

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In recent years, the frequency of extreme weather has increased, and urban waterlogging caused by sudden rainfall has occurred from time to time. With the development of urbanization, a large amount of land has been developed and the proportion of impervious area has increased, intensifying the risk of urban waterlogging. How to use the available meteorological data for accurate prediction and early warning of waterlogging hazards has become a key issue in the field of disaster prevention and risk assessment. In this paper, based on historical meteorological data, we combine domain knowledge and model parameters to experimentally extract rainfall time series related features for future waterlogging depth prediction. A novel waterlogging depth prediction model that applies only rainfall data as input is proposed by machine learning algorithms. By analyzing a large amount of historical flooding monitoring data, a “rainfall-waterlogging amplification factor” based on the geographical features of monitoring stations is constructed to quantify the mapping relationship between rainfall and waterlogging depths at different locations. After the model is trained and corrected by the measured data, the prediction error for short-time rainfall basically reaches within 2 cm. This method improves prediction performance by a factor of 2.5–3 over featureless time series methods. It effectively overcomes the limitations of small coverage of monitoring stations and insufficient historical waterlogging data, and can achieve more accurate short-term waterlogging prediction. At the same time, it can provide reference suggestions for the government to conduct waterlogging risk analysis and add new sensor stations by counting the amplification factor of other locations.

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Section: Open Access Edited Bymentioning

confidence: 99%

Urban waterlogging prediction and risk analysis based on rainfall time series features: A case study of Shenzhen

Zhang

Jian

Chen

et al. 2023

Front. Environ. Sci.

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“…The weighted comprehensive evaluation method is a common disaster risk assessment method, with the advantages of systematicness and clear results. According to the contribution degree of each evaluation index to the overall goal, a corresponding weight coefficient was assigned, the value was multiplied by the quantitative value of each index corresponding to the evaluation index, and the results were summed [52]. The forest fire spread hazard index at the subcompartment scale in the Mountainous District of Beijing was calculated by the weighted comprehensive evaluation method, and the forest fire spread hazard index at the township scale was calculated by the weighted average area method.…”

Section: Forest Fire Spread Hazard Index Calculationmentioning

confidence: 99%

Forest Fire Spread Hazard and Landscape Pattern Characteristics in the Mountainous District, Beijing

Wang,

Li,

Lai

et al. 2023

Forests

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Objective: This study established an index system for assessing forest fire spread hazards and conducted a forest fire spread hazard assessment in the mountainous district of Beijing (including Fangshan, Mentougou, Changping, Yanqing, Huairou, Miyun, and Pinggu). The relationship between forested landscape spatial pattern and forest fire spread hazard was explored; this method provided the basis for the establishment of a landscape forest fire security guarantee system. Methods: The forest fire spread hazard assessment index system was constructed from four aspects: forest fuel, meteorological factors, topographic factors, and fire behavior. The weighted comprehensive evaluation method and area-weighted average method were used to calculate the forest fire spread hazard indices at the subcompartment scale and township scale. Moran’s I index was selected as the spatial autocorrelation index to analyze the autocorrelation degree and spatial distribution of the forest fire spread hazard index. Eleven representative landscape pattern indices were selected to analyze the main landscape spatial pattern affecting forest fire spread hazard by correlation analysis and principal component analysis. Results: (1) The areas with high, medium–high, medium-low, and low forest fire spread hazard grades accounted for 39.87%, 33.10%, 11.37%, and 15.66% of the study area, respectively, at the subcompartment scale and for 52.36%, 22.58%, 18.39%, and 6.67% of the study area, respectively, at the township scale. (2) The forest fire spread hazard index results obtained at the subcompartment and township scales in the Mountainous District of Beijing showed a spatial agglomeration distribution law. (3) The forest fire spread hazard was influenced mainly by landscape diversity (SHDI and PRD), landscape aggregation (AI, CONTAG, and PD), and landscape area (TA). Conclusions: The overall forest fire spread hazard in the mountainous district of Beijing showed a gradual increase from plains to mountainous areas. The land types of the high-spread hazard subcompartment mainly included general shrubbery and coniferous forestlands, and the dominant species in the high-spread hazard arbor forest subcompartment were mainly Platycladus orientalis, Pinus tabuliformis, and Quercus mongolica.

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“…Urban waterlogging disaster is an extremely complex engineering problem with many dimensions [5][6][7][8][9] (pp. 1-2; pp.…”

Section: Introductionmentioning

confidence: 99%

The Role of Geological Methods in the Prevention and Control of Urban Flood Disaster Risk: A Case Study of Zhengzhou

Wang,

Sun,

Wang

et al. 2024

Applied Sciences

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The frequent occurrence of urban flood disasters is a major and persistent problem threatening the safety of cities in China and elsewhere in the world. As this issue is so pervasive, exploring new methods for more effective risk prevention and urban flood disaster control is now being prioritized. Taking the case of the city of Zhengzhou as an example, this paper proposes using geological, hydrogeological, ecological, and environmental conditions together with appropriate engineering designs to address the problem of urban flooding. The strategy includes integrating urban sponge–hydrogeological conditions, ecological engineering, and the construction of deep underground water storage facilities. Field investigations, data collection and analysis, in situ observations, testing, and laboratory experiments, are analyzed to explain the formation mechanism and means to mitigate flood disasters in Zhengzhou. Our results suggest that the appropriate use of geological, ecological, and hydrogeological aspects, combined with effective engineering practices, can significantly improve the city’s flood control capacity. These measures can solve the problem of the “once-in-a-millennium” occurrence of torrential rain disasters such as the “720” torrential rainstorm that has affected the city of Zhengzhou.

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Evaluation of Comprehensive Emergency Capacity to Urban Flood Disaster: An Example from Zhengzhou City in Henan Province, China

Cited by 10 publications

References 25 publications

Urban waterlogging prediction and risk analysis based on rainfall time series features: A case study of Shenzhen

Urban waterlogging prediction and risk analysis based on rainfall time series features: A case study of Shenzhen

Forest Fire Spread Hazard and Landscape Pattern Characteristics in the Mountainous District, Beijing

The Role of Geological Methods in the Prevention and Control of Urban Flood Disaster Risk: A Case Study of Zhengzhou

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