Leveraging Hazard, Exposure, and Social Vulnerability Data to Assess Flood Risk to Indigenous Communities in Canada

Chakraborty, Liton; Thistlethwaite, Jason; Minano, Andrea; Henstra, Daniel; Scott, Daniel

doi:10.1007/s13753-021-00383-1

Cited by 34 publications

(10 citation statements)

References 47 publications

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“…After normalizing CRIs, we compared the simulated severity of disasters with actual severity, and found they were generally consistent. As shown in Figure 2, the accuracy of CRI and actual grade of rainstorm and flood process with disaster serial numbers of 5,7,9,11,14,16,18,19,20,22,28,30, and 32 are significant, while the accuracy of 6, 8, 10, 12, 23, 24, 27, and 31 are not significant. Therefore, the CRI system based on FCE is proved to be able to estimate risks for a disaster process.…”

Section: Cri Calculation and Analysismentioning

confidence: 94%

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Geomatic-Based Flood Loss Assessment and Its Application in an Eastern City of China

Jin

Zhang

Liu

et al. 2022

Water

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Flash-flood disasters pose a serious threat to lives and property. To meet the increasing demand for refined and rapid assessment on flood loss, this study exploits geomatic technology to integrate multi-source heterogeneous data and put forward the comprehensive risk index (CRI) calculation with the fuzzy comprehensive evaluation (FCE). Based on mathematical correlations between CRIs and actual losses of flood disasters in Weifang City, the direct economic loss rate (DELR) model and the agricultural economic loss rate (AELR) model were developed. The case study shows that the CRI system can accurately reflect the risk level of a flash-flood disaster. Both models are capable of simulating disaster impacts. The results are generally consistent with actual impacts. The quantified economic losses generated from simulation are close to actual losses. The spatial resolution is up to 100 × 100 m. This study provides a loss assessment method with high temporal and spatial resolution, which can quickly assess the loss of rainstorm and flood disasters. The method proposed in this paper, coupled with a case study, provides a reliable reference to loss assessment on flash floods caused disasters and will be helpful to the existing literature.

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Section: Cri Calculation and Analysismentioning

confidence: 94%

“…Previous studies applied tools of cloud models [16], weighted comprehensive evaluation [17], GIS spatial analysis [18][19][20][21][22], prediction of future precipitation patterns [23], and statistical models [24,25]. There is no linear relationship among these studies due to different indicators and scales.…”

Section: Introductionmentioning

confidence: 99%

Geomatic-Based Flood Loss Assessment and Its Application in an Eastern City of China

Jin

Zhang

Liu

et al. 2022

Water

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“…A common approach is to use social vulnerability indices, which combine spatial data with socioeconomic and demographic factors that predict a community's relative vulnerability to natural hazards [10,[24][25][26][27]. Collated indices have been used to identify communities most in need of assistance during hurricanes [28], floods [29], wildfires [30], and heatwaves [31], but their application to longerterm stressors such as water scarcity has been limited.…”

Section: Introductionmentioning

confidence: 99%

The inequitable exposure of socially vulnerable groups to water shortages across the United States

Sanchez

Warziniack

Knowles

2023

Environ. Res. Lett.

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Socially vulnerable populations in the United States are bearing the highest costs of water scarcity, which is likely to worsen with climate change, population growth, and growing disparities between areas with high demand and the location of available supplies. Prior research showing that socially vulnerable groups are inequitably exposed to some of the worst shortages has focused on singular dimensions of social vulnerability, typically in relatively localized geographies, leaving us with an incomplete understanding of the national scope of the problem. This study combines data on surface water shortages lasting 12 months and with a 50-year return period with the U.S. Center for Disease Control's Social Vulnerability Index (SVI) to spatially identify clusters of high-shortage, high-vulnerability hotspots from 71,195 census tracts across the conterminous United States. We estimate that 5 percent of the population of the lower 48 states -- nearly 15 million people -- lives in high-SVI, high-shortage hotspot areas. We examine the relationship between water shortage volumes and i) SVI, (ii) SVI themes, and (iii) 15 indicators used to construct SVI for the U.S. and within hotspots. We find evidence that water shortages constitute an environmental injustice, as multiple dimensions of social vulnerability are disproportionately exposed to the worst shortages. However, distinct dimensions of vulnerability that are correlated with increasing shortage volumes vary across regions and within hotspots, indicating that water shortage adaptation strategies will have to be tailored to their specific contexts.

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“…Many historical and present-day factors contribute to the vulnerability of traditional Indigenous modes of livelihood, including social inequality, poverty, cultural assimilation, sovereignty issues, land appropriation, and the overexploitation of resources by external agents [ 1 ]. However, the inextricable link between IPs and nature makes TFS particularly exposed to climate change and environmental impacts [ 4 , 6 ], which interact with other existing drivers to exacerbate vulnerability by increasing susceptibility to harm and hindering the capacity to cope and adapt [ 10 ]. Climate change can directly disrupt TFS by hindering Indigenous subsistence practices and access to food resources through alterations in the physical environment, and by altering the availability of food species through impacts on their distribution, abundance, and phenology [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Study protocol: International joint research project ‘climate change resilience of Indigenous socioecological systemsʼ (RISE)

et al. 2022

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Background Anthropogenic changes in the environment are increasingly threatening the sustainability of socioecological systems on a global scale. As stewards of the natural capital of over a quarter of the world’s surface area, Indigenous Peoples (IPs), are at the frontline of these changes. Indigenous socioecological systems (ISES) are particularly exposed and sensitive to exogenous changes because of the intimate bounds of IPs with nature. Traditional food systems (TFS) represent one of the most prominent components of ISES, providing not only diverse and nutritious food but also critical socioeconomic, cultural, and spiritual assets. However, a proper understanding of how future climate change may compromise TFS through alterations of related human-nature interactions is still lacking. Climate change resilience of indigenous socioecological systems (RISE) is a new joint international project that aims to fill this gap in knowledge. Methods and design RISE will use a comparative case study approach coupling on-site socioeconomic, nutritional, and ecological surveys of the target ISES of Sakha (Republic of Sakha, Russian Federation) and Karen (Kanchanaburi, Thailand) people with statistical models projecting future changes in the distribution and composition of traditional food species under contrasting climate change scenarios. The results presented as alternative narratives of future climate change impacts on TFS will be integrated into a risk assessment framework to explore potential vulnerabilities of ISES operating through altered TFS, and possible adaptation options through stakeholder consultation so that lessons learned can be applied in practice. Discussion By undertaking a comprehensive analysis of the socioeconomic and nutritional contributions of TFS toward the sustainability of ISES and projecting future changes under alternative climate change scenarios, RISE is strategically designed to deliver novel and robust science that will contribute towards the integration of Indigenous issues within climate change and sustainable agendas while generating a forum for discussion among Indigenous communities and relevant stakeholders. Its goal is to promote positive co-management and regional development through sustainability and climate change adaptation.

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Leveraging Hazard, Exposure, and Social Vulnerability Data to Assess Flood Risk to Indigenous Communities in Canada

Cited by 34 publications

References 47 publications

Geomatic-Based Flood Loss Assessment and Its Application in an Eastern City of China

Geomatic-Based Flood Loss Assessment and Its Application in an Eastern City of China

The inequitable exposure of socially vulnerable groups to water shortages across the United States

Study protocol: International joint research project ‘climate change resilience of Indigenous socioecological systemsʼ (RISE)

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