Risk Assessment and Management Method of Urban Flood Disaster

Li, Jiake; Gao, Jiayu; Li, Ning; Yao, Yutong; Jiang, Yishuo

doi:10.1007/s11269-023-03467-3

Cited by 16 publications

(5 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These subsystems interact and influence each other, forming an organic whole. Safety investment, which encompasses human resources, material resources, and financial resources, directly affects the level of safety in the system [ 30 ].…”

Section: Early Warning Analysis Of Rockburst Accident In Hujiahe Mini...mentioning

confidence: 99%

Mechanism and early warning of coal mine rockburst accident based on SD-STAMP-DEMATEL

Shi,

Wang,

Shao

2024

Heliyon

View full text Add to dashboard Cite

Section: Early Warning Analysis Of Rockburst Accident In Hujiahe Mini...mentioning

confidence: 99%

Mechanism and early warning of coal mine rockburst accident based on SD-STAMP-DEMATEL

Shi,

Wang,

Shao

2024

Heliyon

View full text Add to dashboard Cite

“…Assefa et al evaluated the water resource accessibility based on the accessibility distance of water resources [10]. Li and Gao put forward a water resource accessibility analysis method based on network and water intake cost, considering topography, land use, and road factors [11]. Therefore, topography, water resources, and distance are the key factors affecting the accessibility of water resources.…”

Section: Introductionmentioning

confidence: 99%

Surface Water Resource Accessibility Assessment of Rural Settlements in the Yellow River Basin

Li,

Ma,

Zhang

et al. 2024

Water

View full text Add to dashboard Cite

Analyzing the spatial relationship between humans and water is crucial for regional development and water allocation schemes, particularly in the face of extreme water scarcity in the Yellow River Basin. A quantitative evaluation model of surface water resource accessibility (SWRA) has been developed, with rural settlements serving as the research unit. This model is built upon three key dimensions: topography, distance, and surface water resources within the Yellow River Basin. The results show that: (1) The SWRA range spans from 0.13 to 0.88, with an average value of 0.47 and a standard deviation of 0.05. Higher SWRA values are concentrated in the eastern and western regions, while lower values are predominantly found in the central area. (2) The gradient of SWRA across the 12 catchments, from low to high, is as follows: Sanmenxia station, Lanzhou station, Shizuishan station, Longmen station, Tongguan station, Toudaoguai station, Xiaolangdi station, Huayuankou station, Lijin station, Gaocun station, Ai Shan station, and Tangnaihai station. (3) At the city scale, the SWRA values are generally higher in the eastern areas of 10 cities, with one exception being higher in the west. Conversely, in the western areas of nine cities, the SWRA values are lower. The remaining cities exhibit SWRA values at a medium level. The correlation coefficient between primary industry gross domestic product (GDP) and SWRA is 0.271 (N = 56, Sig = 0.043, in 0.05 level, the correlation is significant), which confirms that SWRA serves as a factor influencing GDP and is appropriately designed for assessing water accessibility. Consequently, managers can utilize SWRA results to make informed decisions regarding regional development and water allocation.

show abstract

“…In the realm of situational simulation models, Suarez et al [25] evaluate the impact of flooding and climate change on Boston's urban transportation system through situational simulation assessments. Utilizing actual measurement data and maximum water depth survey results, Jiake et al [26] establish an accurate coupled model of floods in the study area to simulate current and design scenarios, and evaluate flood disaster vulnerability according to the simulation results.…”

Section: Introductionmentioning

confidence: 99%

A Dual-Layer Complex Network-Based Quantitative Flood Vulnerability Assessment Method of Transportation Systems

Ding,

Wang,

2024

Land

View full text Add to dashboard Cite

Evaluating the vulnerability of urban transportation systems to flood disasters can provide scientific support for urban disaster prevention and mitigation. Current methods for assessing the flood vulnerability of urban roads often overlook the internal relationships within the complex spatial composition of road networks and surface structures. In this study, based on the theory of complex networks, a dual-layer network assessment model is established for evaluating the flood vulnerability of urban transportation systems by coupling basic geographic data with road network vector data. Unlike traditional methods, this model considers the complex relationship between road network structures and ground surfaces, uncovering a correlation between road network structure and road flood vulnerability. By utilizing this model, the flood vulnerability of road networks in Shenzhen, as well as the city’s spatial flood vulnerability, are quantitatively assessed. Based on the quantitative results, we create maps illustrating the distribution of road and spatial flood vulnerability in Shenzhen. The study results reflect that roads highly vulnerable to flooding are mainly located in the central urban area of the southwest, with the flood vulnerability spatially concentrated primarily in the northern and western regions. Using data from government reports, news stories, and other sources over the past five years, we compile recorded instances of urban waterlogging. The quantitative results of the model are consistent with the distribution trend in recorded waterlogging points, indicating that the model’s outcomes are authentic and reliable.

show abstract

Risk Assessment and Management Method of Urban Flood Disaster

Cited by 16 publications

References 26 publications

Mechanism and early warning of coal mine rockburst accident based on SD-STAMP-DEMATEL

Mechanism and early warning of coal mine rockburst accident based on SD-STAMP-DEMATEL

Surface Water Resource Accessibility Assessment of Rural Settlements in the Yellow River Basin

A Dual-Layer Complex Network-Based Quantitative Flood Vulnerability Assessment Method of Transportation Systems

Contact Info

Product

Resources

About