Sinha Paramita, Fry Meridith, Julius Susan, Truesdale Robert, Cajka James, Eddy Michele, Doraiswamy Prakash, Albright Rosanne, Riemenschneider Julie, Potzler Matthew, Lim Brian, Richkus Jennifer, O'Neal Maggie
RTI International, 3040 E. Cornwallis Road, Research Triangle Park, NC 27709, United States.
U.S. Environmental Protection Agency, 1200 Pennsylvania Avenue, NW, Washington, DC 20460, United States.
Clim Risk Manag. 2024 Feb 6;43:1-18. doi: 10.1016/j.crm.2024.100586.
The interplay of contaminated sites, climate change, and disadvantaged communities are a growing concern worldwide. Worsening extreme events may result in accidental contaminant releases from sites and waste facilities that may impact nearby communities. If such communities are already suffering from environmental, economic, health, or social burdens, they may face disproportionate impacts. Equitable resilience planning to address effects of extreme events requires information on where the impacts may be, when they may occur, and who might be impacted. Because resources are often scarce for these communities, conducting detailed modeling may be cost-prohibitive. By considering indicators for four sources of vulnerability (changing extreme heat conditions, contaminated sites, contaminant transport via wind, and population sensitivities) in one holistic framework, we provide a scientifically robust approach that can assist planners with prioritizing resources and actions. These indicators can serve as screening measures to identify communities that may be impacted most and isolate the reasons for these impacts. Through a transdisciplinary case study conducted in Maricopa County (Arizona, USA), we demonstrate how the framework and geospatial indicators can be applied to inform plans for preparedness, response, and recovery from the effects of extreme heat on contaminated sites and nearby populations. The indicators employed in this demonstration can be applied to other locations with contaminated sites to build community resilience to future climate impacts.
受污染场地、气候变化和弱势社区之间的相互作用日益引起全球关注。极端事件的恶化可能导致场地和废物处理设施意外释放污染物,从而影响附近社区。如果这些社区已经承受着环境、经济、健康或社会负担,它们可能会面临不成比例的影响。制定公平的恢复力规划以应对极端事件的影响,需要了解影响可能发生在哪里、何时发生以及可能受到影响的人群。由于这些社区的资源往往稀缺,进行详细建模可能成本过高。通过在一个整体框架中考虑四个脆弱性来源(极端高温条件变化、受污染场地、污染物随风传输和人口敏感性)的指标,我们提供了一种科学可靠的方法,可协助规划者确定资源和行动的优先次序。这些指标可作为筛选措施,以识别可能受影响最大的社区,并找出造成这些影响的原因。通过在美国亚利桑那州马里科帕县进行的跨学科案例研究,我们展示了该框架和地理空间指标如何应用于为应对极端高温对受污染场地及附近人口的影响而制定的备灾、应对和恢复计划提供信息。本示范中使用的指标可应用于其他存在受污染场地的地区,以增强社区对未来气候影响的恢复力。