The influence of neighborhood-level urban morphology on PM2.5 variation based on random forest regression
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DOI: 10.1016/j.apr.2021.101147
Abstract: Abstract To improve the atmospheric environment by optimizing urban morphology, this study develops a random forest (RF) model to investigate the influence of urban morphology on PM2.5 variations via the relative importance of urban morphology… read more here.
Keywords: pm2; reduction; morphology; morphology pm2 ... See more keywords