Social vulnerability assessment of landslide disaster based on improved TOPSIS method: Case study of eleven small towns in China DOI Creative Commons
Yi Xiao, Xiao Tang, Yuan Li

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 143, P. 109316 - 109316

Published: Aug. 22, 2022

There are few studies on the social vulnerability of small towns in landslide disaster areas. The occurrence geological disasters will directly threaten local socioeconomic growth, it is particularly important to identify vulnerable areas and populations by using index system. Eleven after Wenchuan earthquake were taken as examples, based 863 questionnaires statistical data, this study established a new comprehensive evaluation system areas, conducted quantitative improved TOPSIS (Technique for Order Preference Similarity an Ideal Solution) model, was adopted compare, classify rank levels townships. empirical results indicate that showed characteristics regional heterogeneity, most high or medium level vulnerability. Only Yingxiu low vulnerability, Shuimo presented highest score eleven towns, inter-group difference between these two 0.286. Risk perception factor affecting involving awareness, cognitive approach, community publicity. Additionally, structure another key scores top three with including prevention facilities, residents' income, infrastructure accessibility. can evaluate scientifically be used urban management development

Language: Английский

Flood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change. A Review DOI Creative Commons
Luís Cea, Pierfranco Costabile

Hydrology, Journal Year: 2022, Volume and Issue: 9(3), P. 50 - 50

Published: March 18, 2022

The modelling and management of flood risk in urban areas are increasingly recognized as global challenges. complexity these issues is a consequence the existence several distinct sources risk, including not only fluvial, tidal coastal flooding, but also exposure to runoff local drainage failure, various strategies that can be proposed. high degree vulnerability characterizes such expected increase future due effects climate change, growth population living cities, densification. An increasing awareness socio-economic losses environmental impact flooding clearly reflected recent expansion number studies related sometimes within framework adaptation change. goal current paper provide general review advances flood-risk management, while exploring perspectives fields research.

Language: Английский

Citations

152
Social inequalities in climate change-attributed impacts of Hurricane Harvey DOI Creative Commons
Kevin T. Smiley, Ilan Noy, Michael Wehner

et al.

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: Aug. 25, 2022

Abstract Climate change is already increasing the severity of extreme weather events such as with rainfall during hurricanes. But little research to date investigates if, and what extent, there are social inequalities in climate change-attributed event impacts. Here, we use attribution science paired hydrological flood models estimate depths damages Hurricane Harvey Harris County, Texas. Using detailed land-parcel census tract socio-economic data, then describe socio-spatial characteristics associated these change-induced We show that 30 50% flooded properties would not have without change. impacts were particularly felt Latina/x/o neighborhoods, especially so neighborhoods low-income among those located outside FEMA’s 100-year floodplain. Our focus thus on justice challenges only concern future risks, but affecting vulnerable populations disproportionately now.

Language: Английский

Citations

99
Increasing global urban exposure to flooding: An analysis of long-term annual dynamics DOI
Wenting Cao, Yuyu Zhou, Burak Güneralp

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 817, P. 153012 - 153012

Published: Jan. 11, 2022

Language: Английский

Citations

83
Large and inequitable flood risks in Los Angeles, California DOI
Brett F. Sanders, Jochen E. Schubert, Daniel T. Kahl

et al.

Nature Sustainability, Journal Year: 2022, Volume and Issue: 6(1), P. 47 - 57

Published: Oct. 31, 2022

Language: Английский

Citations

79
Assessing distributive inequities in FEMA's Disaster recovery assistance fund allocation DOI Creative Commons
Christopher T. Emrich, Sanam K. Aksha, Yao Zhou

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2022, Volume and Issue: 74, P. 102855 - 102855

Published: March 27, 2022

Social vulnerability is significant in differential disaster impacts and outcomes has been shown to influence the pace progression of post-disaster recovery processes. Various assistance programs - designed support individual survivors, states, local governments, non-governmental entities, businesses may be distributing funds inequitably because they are not accounting for social vulnerabilities. One such program, Federal Emergency Management Agency's Individuals Households Program (IHP) program supports homeowners renters rental, repair, replacement, permanent housing construction disaster-damaged houses as well providing other needs victims with disaster-related non-housing expenses. To date, limited exploration connecting underlying vulnerabilities distribution federal provided only an incomplete understanding connections between socio-economic conditions often inequitable distribution. We analyzed county-level IHP 2010 2018 explored relationships fund indicators while controlling total damages. Employing ordinary least squares regression analysis, we assessed links Total Assistance, Housing Repair/Replace Assistance Other Needs against variables from Vulnerability Index (SoVI) framework. Results highlight specific influencing FEMA's race/ethnicity-related most frequent (regularly negative) on receipt. Findings suggest that receipt linked vulnerability. As such, greater attention inclusion would lead more equitable funds.

Language: Английский

Citations

71
A probabilistic assessment of urban flood risk and impacts of future climate change DOI
Wen Liu, Qi Feng, Bernard A. Engel

et al.

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 618, P. 129267 - 129267

Published: Feb. 13, 2023

Language: Английский

Citations

59
GLOF hazard, exposure, vulnerability, and risk assessment of potentially dangerous glacial lakes in the Bhutan Himalaya DOI
Sonam Rinzin, Guoqing Zhang, Ashim Sattar

et al.

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 619, P. 129311 - 129311

Published: Feb. 26, 2023

Language: Английский

Citations

45
The Origin and Diffusion of the Social Vulnerability Index (SoVI) DOI Creative Commons
Susan L. Cutter

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 109, P. 104576 - 104576

Published: May 23, 2024

The disproportionate impact of risk, hazards, and disasters on socially differentiated groups has been part the broader research field for over half a century now. As concept, social vulnerability transcends many science disciplines but remains firmly grounded in spatial inequality processes outcomes. variability space peculiarity places driven development empirically based measurements vulnerability, especially United States. This article takes retrospective view concept tracing origins hazard research, its quantification, operational use emergency preparedness, response, recovery, mitigation. It uses Social Vulnerability Index (or SoVI) given intellectual antecedents geographical sciences widespread acceptance within hazards as model. In brief period since twenty years ago, SoVI moved from place-based conceptualization to an oft-used method highlighting inequities potential impacts likely recovery them both practice. More significantly, history application illustrates arc theory-to-practice, use-inspired scholarship, starting with idea witnessing translation tool policy. Lessons learned future needs, uses, improvements metrics conclude article.

Language: Английский

Citations

22
Google Earth Engine for Large-Scale Flood Mapping Using SAR Data and Impact Assessment on Agriculture and Population of Ganga-Brahmaputra Basin DOI Open Access
Arvind Chandra Pandey, Kavita Kaushik, Bikash Ranjan Parida

et al.

Sustainability, Journal Year: 2022, Volume and Issue: 14(7), P. 4210 - 4210

Published: April 1, 2022

The Ganga-Brahmaputra basin is highly sensitive to the impacts of climate change and experiences recurrent flooding, which affects large agricultural areas poses a high risk population. present study focused on recent flood disaster in basin, mainly affected regions Bihar, West Bengal, Assam India neighboring Bangladesh during July, August, September 2020. Using Sentinel-1A Synthetic Aperture Radar (SAR) data, extent was derived Google Earth Engine (GEE) platform. composite area under inundation for July–September estimated be 25,889.1 km2 Bangladesh, followed by Bihar (20,837 km2), Bengal (17,307.1 (13,460.1 km2). Copernicus Global Land Cover dataset used extract flood-affected settlement. Floods have caused adverse lands settlements, affecting 23.68–28.47% 5.66–9.15% these areas, respectively. Gridded Population World (GPW) population density Human Settlement Layer (GHSL) were also employed evaluate impacts, revealed that 23.29 million floods basin. highest can seen from state, as people reside lower valley near riverbank due their dependency river water. Similarly, impact because well settlement density. provided holistic spatial assessment region combined River identification flood-prone with an cropland build-up will provide necessary information decision-makers reduction, mitigation activities, management.

Language: Английский

Citations

65
Leveraging Hazard, Exposure, and Social Vulnerability Data to Assess Flood Risk to Indigenous Communities in Canada DOI Creative Commons
Liton Chakraborty, Jason Thistlethwaite, Andrea Minano

et al.

International Journal of Disaster Risk Science, Journal Year: 2021, Volume and Issue: 12(6), P. 821 - 838

Published: Dec. 1, 2021

Abstract This study integrates novel data on 100-year flood hazard extents, exposure of residential properties, and place-based social vulnerability to comprehensively assess compare risk between Indigenous communities living 985 reserve lands other Canadian across 3701 census subdivisions. National-scale properties fluvial, pluvial, coastal flooding was estimated at the return period. A index (SVI) developed included 49 variables from national that represent demographic, social, economic, cultural, infrastructure/community indicators vulnerability. Geographic information system-based bivariate choropleth mapping composite SVI scores population completed spatial variation risk. We found about 81% land reserves had some impacted either or properties. Our analysis indicates property-level is similar non-Indigenous communities, but socioeconomic higher lands, which confirms overall higher. Findings suggest need for more local verification in address uncertainty scale analysis.

Language: Английский

Citations

59