Temporal change in relationships between urban structure and surface temperature

Temporal change in relationships between urban structure and surface temperature
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DOI:
10.1177/23998083221083677
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发表时间:
2021-05
期刊:
Environment and Planning B: Urban Analytics and City Science
影响因子:
--
通讯作者:
J. Stewart;P. Kremer
J. Stewart;P. Kremer
中科院分区:
其他
文献类型:
--
作者:
J. Stewart;P. Kremer

文献摘要

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地表温度直接影响人类健康,并改变环境的生物多样性和生产力。虽然以前的研究已经确定,城市景观的组成会影响环境的物理特性,如表面温度,但需要一个可推广和灵活的框架,可用于跨时间和空间比较城市。本研究采用城市景观结构(STURLA)分类结合遥感的纽约市的地表温度(LST)。然后使用机器学习和统计建模将这些联系起来,以确定绿地和建筑环境如何影响城市表面温度。此外,城市结构的变化与LST随时间的变化有关。据观察,主要由建筑环境组成的城市单元的地区温度最高,而有植被和水的地区温度最低。同样,这是加强了市镇一级的空间差异,在城市结构和热量。对2008年至2017年期间这些关系的比较确定了表面温度的变化,这可能是由于整个城市的水,低层建筑和路面的变化。这项研究加强了人类对环境的改变如何改变LST,并提供了可用于研究和城市规划的分析单元。
Surface temperature influences human health directly and alters the biodiversity and productivity of the environment. While previous research has identified that the composition of urban landscapes influences the physical properties of the environment such as surface temperature, a generalizable and flexible framework is needed that can be used to compare cities across time and space. This study employs the Structure of Urban Landscapes (STURLA) classification combined with remote sensing of New York City’s land surface temperature (LST). These are then linked using machine learning and statistical modeling to identify how greenspace and the built environment influence urban surface temperature. Further, changes in urban structure are then connected to changes in LST over time. It was observed that areas with urban units composed of largely the built environment hosted the hottest temperatures while those with vegetation and water were coolest. Likewise, this is reinforced by borough-level spatial differences in both urban structure and heat. Comparison of these relationships over the period between 2008 and 2017 identified changes in surface temperature that are likely due to the changes in the presence of water, low-rise buildings, and pavement across the city. This research reinforces how human alteration of the environment changes LST and offers units of analysis that can be used for research and urban planning.