Measuring the accessibility of emergency shelters based on an improved two-step floating catchment area model

International Journal of Digital Earth, Год журнала: 2025, Номер 18(1)

Опубликована: Март 18, 2025

Язык: Английский

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Selection of urban flood shelter locations based on risk assessment

Water-Energy Nexus, Год журнала: 2024, Номер 7, С. 151 - 162

Опубликована: Май 3, 2024

Within the framework of global climate change, there is a recurring occurrence floods and waterlogging disasters, which pose significant risks to human lives overall safety. The phenomenon urbanization has led an increased vulnerability cities flood disasters. Evacuation serves as viable strategy for adapting managing intense precipitation events, mitigating impact Hence, meticulous choice shelters emerged crucial element in enhancing effectiveness evacuations. Nevertheless, process choosing sometimes neglects consider potential flooding not undergone thorough testing. objective this research systematically choose within central metropolitan region, incorporate risk considerations into shelter site model, assist consequences resulting from change. To begin with, employ two-dimensional shallow water model order replicate instances produce data on inundation. Subsequently, simulation results are utilized assess using entropy weight approach. This then incorporated multi-objective optimization determine optimal placement. Ultimately, ABM was employed create crowd evacuation urban areas, confirming efficacy selection thoroughly examining influence various efficiency community emergency evacuation. study's findings indicate that total 26 were chosen study area methodology, ensuring inclusion all affected populations. utilization models places been shown enhance efficiency, confirmed by model. decline population's death rate 1.94% 0.98%, increase 97.4% 98.4%, reduction number casualties 133 individuals.

Язык: Английский

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Assessing the Catastrophic Environmental Impacts on Dam Breach Using Remote Sensing and Google Earth Engine

Water Resources Management, Год журнала: 2024, Номер 38(13), С. 5079 - 5095

Опубликована: Май 31, 2024

Язык: Английский

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Multi-criteria decision-making method for emergency shelter site selection considering flood risk: A case study of Zhuhai, China

Cleaner Engineering and Technology, Год журнала: 2025, Номер unknown, С. 100892 - 100892

Опубликована: Янв. 1, 2025

Язык: Английский

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Integrating river channel flood diversion strategies into dynamic urban flood risk assessment and multi-objective optimization of emergency shelters

Physics of Fluids, Год журнала: 2025, Номер 37(3)

Опубликована: Март 1, 2025

With the continuous advancement of urbanization, risk urban flooding is increasing, making establishment emergency shelters crucial for mitigating flood disasters. This study uses Jinshui River diversion pipeline project in Zhengzhou as a case to systematically investigate effect measures on reducing risks and optimize site selection based assessments. First, InfoWorks integrated catchment management model used simulate under different rainfall scenarios. Second, integrating multi-source data, technique order preference by similarity an ideal solution with four weighting methods applied identify high-risk areas. Finally, results assessment are weights multi-objective model, which solved particle swarm optimization algorithm determine optimal shelter locations. The show that: (1) In 10, 50, 200-years scenarios, significantly reduce depth inundated areas; however, limited extreme “7·20” event. (2) High-risk areas primarily concentrated highly urbanized northeast, although alleviates risk, overall remains high events. (3) Under scenario after diversion, 13 locations identified, average evacuation distance 471.9 meters, covering 97.3% population area. These findings provide scientific evidence management.

Язык: Английский

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Trade-Off and Synergy Mechanism of Agricultural Water Resource Spatial Allocation in Monsoon Climate Areas Based on Machine Learning: A Case Study of Reservoir Layout Optimization in Shandong Province, China

Agronomy, Год журнала: 2024, Номер 14(9), С. 1902 - 1902

Опубликована: Авг. 25, 2024

Influenced by increasing global extreme weather and the uneven spatiotemporal distribution of water resources in monsoon climate areas, balance agricultural supply demand currently faces significant challenges. Conducting research on spatial allocation trade-offs synergistic mechanisms areas is extremely important. This study takes layout reservoir site selection conservancy projects as an example, focusing Shandong Province area. During process, concept resource introduced, suitability siting integrated. It clarifies ten influencing factors for degree five demand. A bi-objective optimization model that includes established. Utilizing machine learning methods such GA_BP neural network GA-bi-objective to coordinate relationship region. The found that: (1) prediction degree, are most strongly correlated with regulatory storage capacity (regulatory > total regulating coefficient); (2) compared single-objective difference between can be reduced 74.3% after optimization; (3) according analysis, utilization central western parts not sufficient, construction reservoirs should carried out a targeted manner. provides new ideas promoting efficient use zones coordinated development humans nature, reflecting importance resources, reducing risk production being affected droughts floods.

Язык: Английский

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Cascade failure risk analysis of mixed reservoirs based on disaster spreading theory

International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер 111, С. 104711 - 104711

Опубликована: Сен. 1, 2024

Язык: Английский

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Analysis and Application Research on Spatiotemporal Characteristics of Microblog Information for Rainstorm Flood Disasters Emergency Rescue Based on Text Classification

International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер 117, С. 105085 - 105085

Опубликована: Дек. 11, 2024

Язык: Английский

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