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The relationships between urban-rural temperature difference and vegetation in eight cities of the Great Plains

机译:城乡温差与八个城市八大城市植被的关系

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摘要

Interpreting the relationship between urban heat island (UHI) and urban vegetation is a basis for understanding the impacts of underlying surfaces on UHI. The calculation of UHI intensity (UHII) requires observations from paired stations in both urban and rural areas. Due to the limited number of paired meteorological stations, many studies have used remotely sensed land surface temperature, but these time-series land surface temperature data are often heavily affected by cloud cover and other factors. These factors, together with the algorithm for inversion of land surface temperature, lead to accuracy problems in detecting the UHII, especially in cities with weak UHII. Based on meteorological observations from the Oklahoma Mesonet, a world-class network, we quantified the UHII and trends in eight cities of the Great Plains, USA, where data from at least one pair of urban and rural meteorological stations were available. We examined the changes and variability in urban temperature, UHII, vegetation condition (as measured by enhanced vegetation index, EVI), and evapotranspiration (ET). We found that both UHI and urban cold islands (UCI) occurred among the eight cities during 2000-2014 (as measured by impervious surface area). Unlike what is generally considered, UHII in only three cities significantly decreased as EVI and ET increased (p0.1), indicating that the UHI or UCI cannot be completely explained simply from the perspective of the underlying surface. Increased vegetative cover (signaled by EVI) can increase ET, and thereby effectively mitigate the UHI. Each study station clearly showed that the underlying surface or vegetation affects urban-rural temperature, and that these factors should be considered during analysis of the UHI effect over time.
机译:解释城市热岛(UHI)和城市植被之间的关系是了解潜在表面对UHI的影响的基础。 UHI强度(UHII)的计算需要从城市和农村地区的配对站观察。由于配对气象站有限,许多研究使用了远程感测的陆地表面温度,但这些时间序列陆地表面温度数据通常受云覆盖和其他因素的严重影响。这些因素与陆地表面温度的反转算法一起导致检测UHII的准确性问题,尤其是弱UHII的城市。基于来自世界一流的网络的俄克拉荷马州Mesonet的气象观测,我们量化了美国伟大平原八个城市的UHII和趋势,其中包括至少一对城市和农村气象站的数据。我们研究了城市温度,UHII,植被状况(通过增强植被指数,EVI)和蒸散(ET)测量的变化和变化。我们发现,UHI和城市冷岛(UCI)在2000 - 2014年期间八个城市发生(按照不透水的表面积测量)。与通常考虑的内容不同,只有三个城市的UHII随着EVI和ET的增加而显着降低(P <0.1),表明UHI或UCI不能简单地从底层表面的角度完全解释。增加的植物覆盖(EVI信号)可以增加ET,从而有效地减轻UHI。每个学习站都清楚地表明,潜在的表面或植被影响了城乡温度,并且在随着时间的推移分析了UHI效应期间应该考虑这些因素。

著录项

  • 来源
    《Frontiers of earth science》 |2019年第2期|290-302|共13页
  • 作者单位

    Henan Univ Lab Geospatial Technol Middle & Lower Yellow Rive Kaifeng 475004 Peoples R China|Univ Oklahoma Ctr Spatial Anal Dept Microbiol & Plant Biol Norman OK 73019 USA;

    Univ Oklahoma Ctr Spatial Anal Dept Microbiol & Plant Biol Norman OK 73019 USA|Fudan Univ Minist Educ Key Lab Biodivers Sci & Ecol Engn Inst Biodivers Sci Shanghai 200438 Peoples R China;

    Univ Oklahoma Ctr Spatial Anal Dept Microbiol & Plant Biol Norman OK 73019 USA;

    Henan Univ Lab Geospatial Technol Middle & Lower Yellow Rive Kaifeng 475004 Peoples R China;

    Henan Univ Lab Geospatial Technol Middle & Lower Yellow Rive Kaifeng 475004 Peoples R China;

    Henan Univ Lab Geospatial Technol Middle & Lower Yellow Rive Kaifeng 475004 Peoples R China;

    Chinese Acad Sci Inst Geog Sci & Nat Resources Res Beijing 100101 Peoples R China;

    Chinese Acad Sci Inst Geog Sci & Nat Resources Res Beijing 100101 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    urbanization; evapotranspiration; urban cold island; background climate; air temperature;

    机译:城市化;蒸散;城市冷岛;背景气候;气温;

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