Ecosystem-based adaptation strategies to multi-hazard risk reduction and policy implications in the Pearl River and Yangtze River deltas, China DOI Creative Commons
Yuting Peng, Natalie Welden, Fabrice G. Renaud

и другие.

International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер unknown, С. 105053 - 105053

Опубликована: Дек. 1, 2024

Язык: Английский

A GIS-Based Flood Risk Assessment Using the Decision-Making Trial and Evaluation Laboratory Approach at a Regional Scale DOI Creative Commons

Eirini Efraimidou,

Mike Spiliotis

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

20

Between catastrophes and politics: unraveling the web of disasters, climate change, and public strategies for a sustainable future DOI

Bianca Lima Silva,

Wesley Vieira da Silva, Luciana Santos Costa Vieira da Silva

и другие.

International Journal of Disaster Risk Reduction, Год журнала: 2025, Номер unknown, С. 105210 - 105210

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

2

Improving the resilience of urban transportation to natural disasters: the case of Changchun, China DOI Creative Commons

Ziyang Wan,

Qiuling Lang,

Yichen Zhang

и другие.

Scientific 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

1

Risk assessment of flood disasters in the Poyang lake area DOI
Xianmin Wang, Wenxue Chen,

Jing Yin

и другие.

International Journal of Disaster Risk Reduction, Год журнала: 2023, Номер 100, С. 104208 - 104208

Опубликована: Дек. 20, 2023

Язык: Английский

Процитировано

20

A Weighted Overlay Analysis for Assessing Urban Flood Risks in Arid Lands: A Case Study of Riyadh, Saudi Arabia DOI Open Access
Talal Alharbi

Water, 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

5

Coastal erosion and flooding risk assessment based on grid scale: A case study of six coastal metropolitan areas DOI

Xuyue Cao,

Yonghua Sun, Yanzhao Wang

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 946, С. 174393 - 174393

Опубликована: Июль 2, 2024

Язык: Английский

Процитировано

4

Social-ecological system research in a changing world: State of the art and future challenges DOI
Yixu Wang, Jie Gong, Zhihui Yang

и другие.

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 144725 - 144725

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Risk assessment of flood disasters in the Loess Plateau using the Hazard–Sensitivity–Vulnerability–Recoverability framework DOI

Pengfei Meng,

Xiaoyu Song, Lanjun Li

и другие.

International Journal of Disaster Risk Reduction, Год журнала: 2025, Номер unknown, С. 105379 - 105379

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Green infrastructure site prioritization to improve urban flood resilience in Monterrey and Brussels using a decision support model DOI Creative Commons
Mina Khodadad, Mohsen Sanei, Ismael Aguilar-Barajas

и другие.

Scientific 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

0

The Impact Process and Mechanism of Typhoon‐Induced Heavy Precipitation on China's Railway Network: A Case Study of Typhoon in‐Fa DOI Open Access
Haiyang Liu, Lucang Wang, Rong Wang

и другие.

Transactions 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