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Investigation of the impact of urban vegetation on air pollutants based on remotely-sensed measurements: A case study in Shenzhen, China

机译:基于远程感测测量的城市植被对空气污染物影响的调查 - 以深圳,中国案例研究

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The spatial and temporal distribution of atmospheric pollutants (especially PM_(25)), which may cause adverse effects on human health and the environment, are affected by urban vegetation through deposition and dispersion processes. Although lots of studies have been conducted to investigate this effect, we still lack the knowledge of how urban vegetation reduces PM_(25) and other air pollutions quantitatively. In this study, Landsat 8 data are used to retrieve the urban surface parameters (including Leaf Area Index and Normalized Difference Impervious Surface Index). Meanwhile, hourly PM_(25) and other air pollutions concentrations over a period of one year (from Jan. 1, 2016 to Dec. 31, 2016) were obtained at a real-time air quality monitoring system in Shenzhen, P.R. China. It is found that, urban vegetation has little effect on air pollutants. Meanwhile, the results show that, a strong relationship between impervious surface and air pollutants are found.
机译:大气污染物的空间和时间分布(特别是PM_(25))可能导致人体健康和环境不利影响,受城市植被通过沉积和分散过程的影响。虽然已经进行了许多研究来调查这种效果,但我们仍然缺乏对都市植被定量降低PM_(25)和其他空气污染的知识。在本研究中,Landsat 8数据用于检索城市表面参数(包括叶面积指数和归一化差异不透水表面指数)。同时,每小时PM_(25)和其他一年内的空中污染浓度(2016年1月1日至2016年12月31日)在深圳,P.R.中国的实时空气质量监测系统中获得。结果发现,城市植被对空气污染物影响不大。同时,结果表明,发现不透水表面和空气污染物之间的牢固关系。

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