Department of Earth and Environmental Sciences, Columbia University, New York, 10027, USA.
International Research Institute for Climate and Society, Climate School, Columbia University, New York, 10027, USA.
Sci Rep. 2023 May 9;13(1):7533. doi: 10.1038/s41598-023-31140-7.
This study presents a novel approach to systematically measure climatic and environmental exposure in refugee camps using remote sensing and geospatial data. Using a case study of seventeen refugee camps across five countries in East Africa, we develop a climatic and environmental exposure index to quantify each camp's exposure relative to a population of simulated camp locations within the hosting country. Our results show that seven of seventeen refugee camps are within the upper two quartiles of exposure relative to a simulated population, suggesting that more than six-hundred thousand refugees living in these camps face elevated exposure compared to other potential camp locations. This method stands to improve the process of gathering and analyzing climatic and environmental data on geographically remote humanitarian spaces in a reliable, low-cost, and standardized manner. Automation and refinement of this index could enable real-time updates on climatic and environmental exposure to support decision-making related to disaster risk reduction in refugee camp management.
本研究提出了一种使用遥感和地理空间数据系统地测量难民营气候和环境暴露的新方法。通过对东非五个国家的十七个难民营进行案例研究,我们开发了一种气候和环境暴露指数,以量化每个难民营相对于所在国模拟营地位置的人口的暴露程度。我们的研究结果表明,在十七个难民营中,有七个难民营的暴露程度处于前两个四分位数,这表明生活在这些难民营中的 60 多万名难民面临着比其他潜在营地更高的暴露风险。这种方法有望改进在地理上偏远的人道主义空间中收集和分析气候和环境数据的过程,以可靠、低成本和标准化的方式进行。该指数的自动化和改进可以实现气候和环境暴露的实时更新,以支持难民营管理中与减少灾害风险相关的决策。