Center for Regional Change, University of California, Davis, 152 Hunt Hall, One Shields Avenue, Davis, CA 95616, USA.
J Environ Manage. 2011 Jul;92(7):1753-9. doi: 10.1016/j.jenvman.2011.02.006. Epub 2011 Mar 2.
Urban heat island effect refers to the phenomenon that ambient air and surface temperatures in urban areas are several degrees higher than surrounding rural areas. Higher temperatures not only impact the comfort of urban dwellers, but also increase energy use, ozone production, and the risk of death for humans in a heat wave. Our research focuses on the variation in land surface temperature in the Gywnns Fall Watershed, Maryland. We found that land surface temperature is highly variable spatially, resulting in "hotspots" within the heat island. We further explore how this temperature variation relates to social factors on the scale of the census-based block group. We show that land surface temperature is statistically higher in block groups that are characterized by low income, high poverty, less education, more ethnic minorities, more elderly people and greater risk of crime. These variables were mapped to evaluate the spatial relationship of land surface temperatures to social factors. This spatially explicit approach facilitates identification of specific areas to prioritize for heat prevention and intervention efforts. We demonstrate, through an exercise, how incorporating data on land surface temperature and social factors into heat intervention strategies could contribute to efficient allocation of limited resources and services. The exercise also indicates where heat prevention efforts, such as tree-planting programs, are most needed to help reduce heat exposure and moderate the urban heat island effect.
城市热岛效应是指城市地区的环境空气和地表温度比周围农村地区高几度的现象。较高的温度不仅影响城市居民的舒适度,还会增加能源使用、臭氧生成以及热浪中人类死亡的风险。我们的研究集中在马里兰州格温斯瀑布流域的地表温度变化上。我们发现,地表温度在空间上变化很大,导致热岛内部出现“热点”。我们进一步探讨了这种温度变化与以人口普查为基础的街区组规模的社会因素之间的关系。结果表明,在收入低、贫困率高、教育程度低、少数族裔多、老年人多、犯罪风险大的街区组,地表温度统计上更高。这些变量被映射出来,以评估地表温度与社会因素的空间关系。这种空间显式方法有助于确定特定区域,以便优先开展防暑和干预工作。我们通过一项练习演示了如何将地表温度和社会因素数据纳入热干预策略中,以帮助更有效地分配有限的资源和服务。该练习还指出了哪里最需要防暑措施,如植树计划,以帮助减少热暴露并缓解城市热岛效应。