
International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер unknown, С. 105053 - 105053
Опубликована: Дек. 1, 2024
Язык: Английский
International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер unknown, С. 105053 - 105053
Опубликована: Дек. 1, 2024
Язык: Английский
Environmental Processes, Год журнала: 2024, Номер 11(1)
Опубликована: Фев. 13, 2024
Abstract This paper introduces an integrated methodology that exploits both GIS and the Decision-making Trial Evaluation Laboratory (DEMATEL) methods for assessing flood risk in Kosynthos River basin northeastern Greece. The study aims to address challenges arising from data limitations provide decision-makers with effective management strategies. integration of DEMATEL is crucial, providing a robust framework considers interdependencies among factors, particularly regions where conventional numerical modeling faces difficulties. preferred over other due its proficiency handling qualitative ability account interactions studied factors. proposed method based on two developed causality diagrams. first diagram crucial hazard absence data. second offers multidimensional analysis, considering criteria. Notably, referring vulnerability can adapt local (or national) conditions, ill-defined nature vulnerability. Given identifies highly hazardous vulnerable areas, not only provides essential insights but also supports formulating approaches mitigate impacts communities infrastructure. Validation includes sensitivity analysis comparison historical Effective weights derived enhance precision Flood Hazard Index (FHI) Vulnerability (FVI).
Язык: Английский
Процитировано
20International Journal of Disaster Risk Reduction, Год журнала: 2025, Номер unknown, С. 105210 - 105210
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
2Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Янв. 7, 2025
This study quantitatively assesses the resilience of urban transport system in Changchun under extreme climatic conditions, focusing on impacts natural disasters such as snowstorms, strong winds and low temperatures system. The vulnerability, exposure, emergency recovery capacity were analyzed by constructing a comprehensive assessment framework combining multi-criteria decision analysis (MCDM) geographic information (GIS). Based meteorological traffic data City past 10 years, key indicators network density, resource distribution, flow, weather frequency selected this study. weights calculated improved hierarchical method (AHP) entropy weighting method, finally city was analyzed. results show that there are significant spatial differences toughness Changchun, which 38.6% areas have very concentrated fringe urban–rural areas; 25.3% at medium level toughness; 5.4% high mainly located center important hubs. proposes enhancement strategies for different with special recommendations strengthening infrastructure development, optimizing management response areas. provide scientific basis to cope future climate challenges, reference other cities similar conditions.
Язык: Английский
Процитировано
1International Journal of Disaster Risk Reduction, Год журнала: 2023, Номер 100, С. 104208 - 104208
Опубликована: Дек. 20, 2023
Язык: Английский
Процитировано
20Water, Год журнала: 2024, Номер 16(3), С. 397 - 397
Опубликована: Янв. 25, 2024
Urban flooding poses a significant problem in arid regions, where unusual rainfall events can lead to disastrous consequences. This study used geographic information systems (GIS) identify and predict potential flood risk zones Riyadh City, Saudi Arabia. A comprehensive map was created by integrating various datasets, including digital elevation models (DEM), lithology, precipitation patterns, slope, drainage density. Through weighted overlay analysis, segmented into with different levels of susceptibility, ranging from low very high risk. The area spans 905 km2. Of this total area, 32% is at flooding, while 31%, 24%, 12% the are moderate, high, respectively. findings were validated through field surveys conducted before after recent events. These validation efforts corroborated high-risk areas predicted model, thereby ensuring reliability for future urban planning mitigation strategies.
Язык: Английский
Процитировано
5The Science of The Total Environment, Год журнала: 2024, Номер 946, С. 174393 - 174393
Опубликована: Июль 2, 2024
Язык: Английский
Процитировано
4Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 144725 - 144725
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0International Journal of Disaster Risk Reduction, Год журнала: 2025, Номер unknown, С. 105379 - 105379
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Март 28, 2025
Green infrastructure (GI) has been increasingly associated with urban flood resilience as it provides benefits in protecting communities from dangers and improving socio-economic capabilities. In order to optimize the GI advantages, is necessary engage strategic prioritizing of implementation areas, considering local conditions. Despite a growing interest connecting resilience, there still lack strategic-oriented planning models aimed at enhancing resilience. This study introduced Flood Resilience-based Urban Infrastructure Site Priority (FRUGISP) model, which employs GIS-based multi-criteria assessment determine regions that should be prioritized for systems, based on their levels. The model was used map priority areas Monterrey, Mexico, Brussels, Belgium. distinct features, both cities face challenges. results showed utmost importance index land availability implementation. potential applied other grappling issues, providing guidance decision-makers selecting high-priority locations projects. approach can effectively address difficulties posed by floods, ensuring areas.
Язык: Английский
Процитировано
0Transactions in GIS, Год журнала: 2025, Номер 29(2)
Опубликована: Март 28, 2025
ABSTRACT Typhoon‐induced heavy precipitation has a critical impact on railway networks. However, existing studies have not adequately considered the role of geographic factors in propagation disasters within networks, and typhoon process further complicates situation. This study analyzed traceable data train disruptions caused by Typhoon In‐Fa across multiple periods, reconstructed temporal evolution disaster, quantitatively assessed its China's network. The results show that damage recovery stations lines significantly affect expansion contraction dynamics disrupted transportation disruption propagates through network, impacted interconnected nodes, lines, adjacent areas beyond disaster zone. affected epicenter shifts with typhoon's movement, but dissipation demonstrates spatial persistence effect. Furthermore, we extracted organization mode paper provides systematic foundation to enhance prevention mitigation capabilities for Chinese railways.
Язык: Английский
Процитировано
0