Chakraborty Liton, Thistlethwaite Jason, Scott Daniel, Henstra Daniel, Minano Andrea, Rus Horatiu
University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada.
Risk Anal. 2023 May;43(5):1058-1078. doi: 10.1111/risa.13978. Epub 2022 Jun 10.
This study presents the first nationwide spatial assessment of flood risk to identify social vulnerability and flood exposure hotspots that support policies aimed at protecting high-risk populations and geographical regions of Canada. The study used a national-scale flood hazard dataset (pluvial, fluvial, and coastal) to estimate a 1-in-100-year flood exposure of all residential properties across 5721 census tracts. Residential flood exposure data were spatially integrated with a census-based multidimensional social vulnerability index (SoVI) that included demographic, racial/ethnic, and socioeconomic indicators influencing vulnerability. Using Bivariate Local Indicators of Spatial Association (BiLISA) cluster maps, the study identified geographic concentration of flood risk hotspots where high vulnerability coincided with high flood exposure. The results revealed considerable spatial variations in tract-level social vulnerability and flood exposure. Flood risk hotspots belonged to 410 census tracts, 21 census metropolitan areas, and eight provinces comprising about 1.7 million of the total population and 51% of half-a-million residential properties in Canada. Results identify populations and the geographic regions near the core and dense urban areas predominantly occupying those hotspots. Recognizing priority locations is critically important for government interventions and risk mitigation initiatives considering socio-physical aspects of vulnerability to flooding. Findings reinforce a better understanding of geographic flood-disadvantaged neighborhoods across Canada, where interventions are required to target preparedness, response, and recovery resources that foster socially just flood management strategies.
本研究首次在全国范围内对洪水风险进行空间评估,以确定社会脆弱性和洪水暴露热点,为旨在保护加拿大高危人群和地理区域的政策提供支持。该研究使用了一个全国范围的洪水灾害数据集(包括暴雨洪水、河流洪水和海岸洪水)来估计5721个人口普查区所有住宅物业的百年一遇洪水暴露情况。住宅洪水暴露数据与基于人口普查的多维社会脆弱性指数(SoVI)进行了空间整合,该指数包括影响脆弱性的人口、种族/民族和社会经济指标。通过双变量局部空间关联指标(BiLISA)聚类图,该研究确定了洪水风险热点的地理集中区域,这些区域高脆弱性与高洪水暴露情况相吻合。结果显示,各普查区层面的社会脆弱性和洪水暴露情况存在显著的空间差异。洪水风险热点属于410个人口普查区、21个普查大都市区和8个省份,约占加拿大总人口的170万,以及50万处住宅物业的51%。结果确定了主要位于这些热点地区的核心和密集城市地区附近的人群和地理区域。认识到优先位置对于考虑洪水脆弱性社会物理方面的政府干预和风险缓解举措至关重要。研究结果强化了对加拿大各地地理上洪水弱势社区的更好理解,在这些社区需要采取干预措施,以针对性地配置备灾、应对和恢复资源,从而促进社会公正的洪水管理策略。