Effect of Urban Greening on Incremental PM_2.5 Concentration During Peak Hours.

ABSTRACT: In China, severe haze is a major public health concern affecting residents' health and well-being. This study used hourly air quality monitoring data from 285 cities in China to analyze the effect of green coverage (GC) and other economic variables on the incremental PM_2.5 concentration (ΔPM_2.5) during peak hours. To detect possible non-linear and interaction effect between predictive variables, a kernel-based regularized least squares (KRLS) model was used for empirical analysis. The results show that there was considerable heterogeneity between cities regarding marginal effect of GC on ΔPM_2.5, which could potentially be explained by different seasons, latitude, urban maintenance expenditure (UE), real GDP per capita (PG), and population density (PD). Also

SUBMITTER: Wang S 

PROVIDER: S-EPMC7701305 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature