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首页> 外文期刊>Photogrammetric Engineering & Remote Sensing: Journal of the American Society of Photogrammetry >Determining the Influence of Building Density on Heat Island Effect Using Baidu Map and Remote Sensing
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Determining the Influence of Building Density on Heat Island Effect Using Baidu Map and Remote Sensing

机译:用百度地图确定建筑密度对热岛效应的影响及遥感

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摘要

This study investigated central urban area of Guangzhou as an example. Data on the types of land use in 2000 - 2009 and building data were used to analyze the changes in the intensity of urban heat island WHO by using the meteorological and numerical weather and research forecasting (wnF) model. The correlation analysis method was used to analyze the temperature and building density to explore the decisive influence of building density on the UHI effect. Results showed that the WRF model can be used to simulate the temperature and humidity performance in the UHI effects. Moreover, urban building density have a great coefficient with UHI. The UHI effect is relatively weak when a few buildings sparsely distributed, various building densities have a substantial influence on the UHI effect. In general, urban development in Guangzhou has enhanced human activities and changed the type of land use, thereby considerably influencing the UHI effect.
机译:本研究作为广州市中心城区为例。 2000 - 2009年土地使用类型和建筑数据的数据用于分析通过使用气象和数值天气和研究预测(WNF)模型的城市热岛强度的变化。 相关分析方法用于分析温度和建筑密度,以探讨建筑密度对UHI效应的决定性影响。 结果表明,WRF模型可用于模拟UHI效果中的温度和湿度性能。 此外,城市建筑密度与UHI具有很大的系数。 当少数建筑物稀疏地分布时,紫外线效应相对较弱,各种建筑密度对UHI效应具有重大影响。 一般来说,广州城市发展增强了人类活动,改变了土地使用的类型,从而大大影响了UHI效应。

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