首页> 外文期刊>Landscape Ecology >Urban heat islands and landscape heterogeneity: linking spatiotemporal variations in surface temperatures to land-cover and socioeconomic patterns
【24h】

Urban heat islands and landscape heterogeneity: linking spatiotemporal variations in surface temperatures to land-cover and socioeconomic patterns

机译:城市热岛和景观异质性:将地表温度的时空变化与土地覆盖和社会经济格局联系起来

获取原文
获取原文并翻译 | 示例
       

摘要

The urban heat island (UHI) phenomenon is a common environmental problem in urban landscapes which affects both climatic and ecological processes. Here we examined the diurnal and seasonal characteristics of the Surface UHI in relation to land-cover properties in the Phoenix metropolitan region, located in the northern Sonoran desert, Arizona, USA. Surface temperature patterns derived from the Advanced Spaceborne Thermal Emission and Reflection Radiometer for two day-night pairs of imagery from the summer (June) and the autumn (October) seasons were analyzed. Although the urban core was generally warmer than the rest of the area (especially at night), no consistent trends were found along the urbanization gradient. October daytime data showed that most of the urbanized area acted as a heat sink. Temperature patterns also revealed intra-urban temperature differences that were as large as, or even larger than, urban-rural differences. Regression analyses confirmed the important role of vegetation (daytime) and pavements (nighttime) in explaining spatio-temporal variation of surface temperatures. While these variables appear to be the main drivers of surface temperatures, their effects on surface temperatures are mediated considerably by humans as suggested by the high correlation between daytime temperatures and median family income. At night, however, the neighborhood socio-economic status was a much less controlling factor of surface temperatures. Finally, this study utilized geographically weighted regression which accounts for spatially varying relationships, and as such it is a more appropriate analytical framework for conducting research involving multiple spatial data layers with autocorrelated structures.
机译:城市热岛现象是城市景观中常见的环境问题,会影响气候和生态过程。在这里,我们研究了位于美国亚利桑那州北部索诺兰沙漠的凤凰城大都市地区与地面覆盖特性相关的地面超高热的昼夜特征。对来自夏季(6月)和秋季(10月)两个昼夜图像的先进星载热发射和反射辐射计得出的表面温度模式进行了分析。尽管城市核心通常比该地区的其他地方(特别是在夜间)温暖,但沿城市化梯度并未发现一致的趋势。十月份的白天数据显示,大多数城市化地区都充当了散热器。温度模式还显示,城市内部的温差与城市-农村的温差一样大,甚至更大。回归分析证实了植被(白天)和人行道(夜间)在解释地表温度的时空变化中的重要作用。尽管这些变量似乎是地表温度的主要驱动因素,但白天温度与家庭收入中位数之间的高度相关性表明,它们对地表温度的影响很大程度上由人类介导。然而,到了晚上,邻里的社会经济状况是地表温度的控制因素。最后,这项研究利用了地理加权回归法来解释空间变化的关系,因此,它是进行涉及具有自相关结构的多个空间数据层的研究的更合适的分析框架。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号