A review of flood risk assessment frameworks and the development of hierarchical structures for risk components

Discover Water, Journal Year: 2025, Volume and Issue: 5(1)

Published: Feb. 12, 2025

Language: Английский

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A multiscale physically-based approach to urban flood risk assessment using ABM and multi-source remote sensing data

International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: unknown, P. 105332 - 105332

Published: Feb. 1, 2025

Language: Английский

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Building resilient urban drainage systems by integrated flood risk index for evidence-based planning

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 124130 - 124130

Published: Jan. 14, 2025

Language: Английский

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Coastal Flood Risk and Smart Resilience Evaluation under a Changing Climate

Ocean-Land-Atmosphere Research, Journal Year: 2023, Volume and Issue: 2

Published: Jan. 1, 2023

Coastal areas are highly vulnerable to flood risks, which exacerbated by the changing climate. This paper provides a comprehensive review of literature on coastal risk assessment and resilience evaluation proposes smart-resilient city framework based pre-disaster, mid-disaster, post-disaster evaluations. First, this systematically reviews origin concept development resilience. Next, it introduces social-acceptable criteria level for different phases. Then, management system smart cities is proposed, covering 3 phases disasters (before, during, after). Risk essential in pre-disaster scenarios because understanding potential hazards vulnerabilities an area or system. Big data monitoring during component effective emergency response that can allow more informed decisions thus quicker, responses disasters, ultimately saving lives minimizing damage. Data-informed loss assessments crucial providing rapid, accurate impact. understanding, turn, instrumental expediting recovery reconstruction efforts aiding decision-making processes resource allocation. Finally, impacts climate change summarized. The resilient communities better equipped withstand adapt environmental conditions crucial. To address compound floods, researchers should focus trigging factor interactions, assessing economic social improving systems, promoting interdisciplinary research with openness. These strategies will enable holistic risks context change.

Language: Английский

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Dynamic risk assessment of urban flood disasters based on functional area division—A case study in Shenzhen, China

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 345, P. 118787 - 118787

Published: Aug. 26, 2023

Language: Английский

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Risk assessment of flood disasters in the Poyang lake area

International Journal of Disaster Risk Reduction, Journal Year: 2023, Volume and Issue: 100, P. 104208 - 104208

Published: Dec. 20, 2023

Language: Английский

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Urban flooding risk assessment based on FAHP–EWM combination weighting: a case study of Beijing

Geomatics Natural Hazards and Risk, Journal Year: 2023, Volume and Issue: 14(1)

Published: Aug. 10, 2023

Urban flooding is a long-standing problem that greatly hinders the development of city. As means flood risk management, assessment plays significant role in reducing risk. In this article, multi-criteria decision analysis (MCDA) model for assessing urban proposed, and results can provide more scientific basis disaster management. The innovatively uses fuzzy analytic hierarchy process (FAHP) entropy weight method (EWM) subjective objective combination weighting methods to determine weight, with risk, exposure, vulnerability emergency capability as criterion layers, 13 representative elements such rainfall altitude index layers. Taking Beijing research area, distribution map was made relevant management department. evaluation are further compared historical information verify accuracy model. show (AHP) AHP–EWM 62.07% 66.38%, while FAHP–EWM reach 75.68%. study models we proposed reasonable effective.

Language: Английский

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A novel integrated urban flood risk assessment approach based on one-two dimensional coupled hydrodynamic model and improved projection pursuit method

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 366, P. 121910 - 121910

Published: July 24, 2024

Language: Английский

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Urban Flood Risk Assessment through the Integration of Natural and Human Resilience Based on Machine Learning Models

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(14), P. 3678 - 3678

Published: July 23, 2023

Flood risk assessment and mapping are considered essential tools for the improvement of flood management. This research aims to construct a more comprehensive framework by emphasizing factors related human resilience integrating them with meteorological geographical factors. Moreover, two ensemble learning models, namely voting stacking, which utilize heterogeneous learners, were employed in this study, their prediction performance was compared that traditional machine including support vector machine, random forest, multilayer perceptron, gradient boosting decision tree. The six models trained tested using sample database constructed from historical events Hefei, China. results demonstrated following findings: (1) RF model exhibited highest accuracy, while SVR underestimated extent extremely high-risk areas. stacking very-high-risk It should be noted methods may not superior those base upon they built. (2) predicted areas within study area predominantly clustered low-lying regions along rivers, aligning distribution hazardous observed inundation events. (3) is worth noting factor distance pumping stations has second most significant driving influence after DEM (Digital Elevation Model). underscores importance considering expands empirical evidence ability deepens our understanding potential mechanisms influencing urban risk.

Language: Английский

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How suitable are current approaches to simulate flood risk under future urbanization trends?

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(7), P. 073003 - 073003

Published: June 3, 2024

Abstract Flood risk in urban areas will increase massively under future urbanization and climate change. Urban flood models have been increasingly applied to assess impacts of on risk. For this purpose, different methodological approaches developed order reflect the complexity dynamics growth. To state-of-the art application scenarios, we conducted a structured literature review systematically analyzed 93 publications with 141 case studies. Our shows that hydrological hydrodynamic are most commonly used simulate Future is mostly considered as sprawl through adjustment land use maps roughness parameters. A low number additionally consider transitions structures densification processes their scenarios. High-resolution physically based advanced well suited for describing quantifiable data-rich contexts. In regions limited data, argue reducing level detail increasing patterns should be improve quality projections urbanization. also call development integrative model such causal network greater explanatory power enable processing qualitative data.

Language: Английский

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