Improving atmospheric particulate matter removal of residential green space based on Landscape patterns and plant functional types

Improving atmospheric particulate matter removal of residential green space based on Landscape patterns and plant functional types
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基于景观格局和植物功能类型提高居住区绿地大气颗粒物去除效果

DOI：
10.1007/s11869-022-01281-1
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发表时间：
2022-11
期刊：
Air Quality, Atmosphere & Health
影响因子：
--
通讯作者：
Zhang Weikang
Zhang Weikang
中科院分区：
其他
文献类型：
--
作者：
Zhang Zhi;Li Yu;Li Muni;Meng Huan;Zhang Tong;Peng Zequn;Zhang Weikang

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景观格局和植物功能类型是绿色空间减少大气颗粒物的关键因素。虽然相当多的注意力已经支付给了解PM浓度在绿色空间，很少有研究
Landscape patterns (LP) and plant functional types (PFTs) are the key factors for green space to reduce atmospheric particulate matter (PM). Although considerable attention has been paid to understanding PM concentrations in the green spaces, few studies
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