Indicator–based vulnerability assessment of households to typhoons and inundation in a ward in Da Nang City, Vietnam DOI Open Access
Tran Thi Huong,

Nguyen Thao Ly,

Tran Thuy Trang

и другие.

IOP Conference Series Earth and Environmental Science, Год журнала: 2024, Номер 1383(1), С. 012020 - 012020

Опубликована: Авг. 1, 2024

Abstract The indicator–based vulnerability assessment of households to typhoons and inundation was conducted in a ward Da Nang city after the historical typhoon Son Ca 2022. A set 18 indicators, encompassing three components exposure, sensitivity, adaptive capacity, used for assessment. In–depth semi–structured interviews revealed that 42% 89% interviewed were affected by inundation, respectively. study noted nearly 87% experienced inundation–induced damage at varying intensities October surveyed results also demonstrated 88% had least 01 child under 11 years old, 22% 1–2 elderly above 65 old family, 16% categorized as poor or near–poor households. 73% resided single–story houses (Type IV), 5% living temporary accommodations, 8% lacked stable livelihood. Although high percentage equipped with basic disaster mitigation tools (100%) respondents received warning information about (85%), only engaged prevention training propaganda courses. capacity 0.58, 0.39, 0.34, respectively (0 1 scale). survey area considered highly adaptable proactive disasters, present disasters 0.63 (–1 2 indicate residents authorities are insufficiently prepared manage effectively. this offer valuable insights policymakers stakeholders improving preparedness effectiveness.

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

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

1

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

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

5

Dynamic monitoring of surface area and water volume of reservoirs using satellite imagery, computer vision and deep learning DOI
Ariane Marina de Albuquerque Teixeira, Leonardo Vidal Batista, Richarde Marques da Silva

и другие.

Remote Sensing Applications Society and Environment, Год журнала: 2024, Номер 35, С. 101205 - 101205

Опубликована: Апрель 21, 2024

Язык: Английский

Процитировано

3

Flood simulation using LISFLOOD and inundation effects: A case study of Typhoon In-Fa in Shanghai DOI

J.F. Li,

Lina Yuan,

Yuchao Hu

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 954, С. 176372 - 176372

Опубликована: Сен. 21, 2024

Язык: Английский

Процитировано

3