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Spatio-temporal non-uniformity of urban park greenness and thermal characteristics in a semi-arid region

机译:半干旱地区的城市公园绿色和热特性的时空不均匀

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摘要

Thermal characteristics of urban parks often vary city-wide due to different landscape properties of parks themselves or their surrounding environments. Understanding such heterogeneity is critical for strategic use of urban forest elements to mitigate extreme heat and provide various ecological amenities; however, relatively few studies to date have assessed such variability at the whole-city scales and across different seasons. This study investigated seasonal variation, statistical association and local spatial clustering in satellite image-based proxies of vegetation greenness and surface temperature (normalized difference vegetation index (NDVI) and at-sensor surface brightness temperature (T-b), respectively) among 135 parks in a part of California, USA on ten different-season dates in 2014. Both metrics varied among parks and dates and exhibited a significant negative linear relationship which was stronger on warmer-season dates. Regressions with NDVI explained 2-17% more variance in T-b when they also included the proportion of woody plant cover (negative effect on T-b) or the proportion of grass cover (positive effect on T-b) on all dates, and park area on some dates (negative effect on T-b). The analysis of spatial variation in park properties revealed several significant local clusters of parks with higher T-b that persisted among warmer dates and had significantly smaller area and warmer neighborhoods than did significant clusters of greener or cooler parks. These results highlight potential under-provisioning of park microclimatic benefits in the associated neighborhoods and calls for further research on environmental and social implications of these results to inform mitigation of urban heat in this region and similar climates.
机译:由于公园本身或周围环境的不同景观特性,城市公园的热特性往往各不变。了解这种异质性对于城市森林元素的战略利用至关重要,以减轻极端热量,提供各种生态设施;然而,迄今为止的研究相对较少地评估了全市鳞片和不同季节的这种变异性。本研究在135个公园中调查了季节性变化,统计关联和局部卫星植被的基于植被的基于卫星图像的代理(分别归一化差异植被指数(NDVI)和传感器表面亮度温度(TB))中的季节性变化,统计关联和局部空间聚类。 2014年,美国加利福尼亚州的一部分,在2014年的十个不同季节日期。在公园和日期之间的各种指标都有各种各样的,并且展出了一个重要的负线性关系,这在温暖的季节日期更强大。与NDVI的回归在TB中解释了2-17%,当时还包括木质植物盖(TB负面影响)的比例或草覆盖(TB对TB的正面影响)的比例,以及一些日期的公园区(对TB的负面影响)。公园性质的空间变化分析揭示了几种具有更高T-B的公园局部局部群,持续更温暖的日期,并且比绿色或凉爽公园的显着簇显着更小的区域和更温暖的社区。这些结果突出了相关社区中公园微跨度福利的潜在潜在的潜在不适应,并要求进一步研究这些结果的环境和社会影响,以便在该地区的城市热量减缓和类似的气候。

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