Geography and Demographics of Extreme Urban Heat Events in Santa Clara County, California

C. Potter
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引用次数: 0

Abstract

Summer heat waves inNorthern California continue to break records for extreme temperatures and put vulnerable urban populations at increasing risk for adverse health impacts. An analysis of Landsat land surface temperature data was conductedin this study to better understandthe geography and demographics of extreme urban heat events in Santa Clara County and the city of San Jose, California. The influence of several urban cover features including streets/roadways, parcel sizes and densities, impervious surfaces, and irrigated shrub/lawn cover were determined for county-wide surface heat patterns in early August 2020. Results showed that the surface temperature of the largest impervious (high-asphalt) surface features was significantly higher, at a mean value of 45°C, than the majority of the other areas across the entire county. In contrast, urban tracts with even partial coverage by irrigated green lawns, shrubs, and small trees had notable cooling effects on summer surface temperatures. Social demographic and household population variables from the U. S. Census Bureau were correlated against satellite surface temperature by census tract to reveal significant associations of family structure and education levels with local neighbourhood heat conditions.
加州圣克拉拉县极端城市高温事件的地理和人口统计
北加州的夏季热浪继续打破极端温度记录,使脆弱的城市人口面临越来越大的不利健康影响风险。本研究对Landsat地表温度数据进行了分析,以更好地了解加州圣克拉拉县和圣何塞市极端城市高温事件的地理和人口统计学特征。2020年8月初,确定了街道/道路、地块大小和密度、不透水表面和灌溉灌木/草坪覆盖等几个城市覆盖特征对全县地表热格局的影响。结果表明:全县最大不透水(高沥青)地物的地表温度显著高于其他大部分地区,平均温度为45℃;相比之下,即使部分被灌溉的绿色草坪、灌木和小树覆盖的城市地带对夏季地表温度也有显著的降温作用。来自美国人口普查局的社会人口和家庭人口变量与普查区的卫星地表温度相关,以揭示家庭结构和教育水平与当地社区供暖条件的显著关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Central European Journal of Geosciences
Central European Journal of Geosciences GEOSCIENCES, MULTIDISCIPLINARY-
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