Incorporating wind availability into land use regression modelling of air quality in mountainous high-density urban environment

Environmental Research
Yuan ShiEdward Ng

Abstract

Urban air quality serves as an important function of the quality of urban life. Land use regression (LUR) modelling of air quality is essential for conducting health impacts assessment but more challenging in mountainous high-density urban scenario due to the complexities of the urban environment. In this study, a total of 21 LUR models are developed for seven kinds of air pollutants (gaseous air pollutants CO, NO2, NOx, O3, SO2 and particulate air pollutants PM2.5, PM10) with reference to three different time periods (summertime, wintertime and annual average of 5-year long-term hourly monitoring data from local air quality monitoring network) in Hong Kong. Under the mountainous high-density urban scenario, we improved the traditional LUR modelling method by incorporating wind availability information into LUR modelling based on surface geomorphometrical analysis. As a result, 269 independent variables were examined to develop the LUR models by using the "ADDRESS" independent variable selection method and stepwise multiple linear regression (MLR). Cross validation has been performed for each resultant model. The results show that wind-related variables are included in most of the resultant models as statistically significant i...Continue Reading

Citations

Sep 5, 2017·International Journal of Environmental Research and Public Health·Yuan Shi, Edward Ng
Apr 14, 2019·International Journal of Environmental Research and Public Health·Chin-Yu HsuChih-Da Wu
Jul 15, 2020·The Science of the Total Environment·Tuo ShiChong Liu
Mar 23, 2021·Environmental Research·Pin WangKevin Ka-Lun Lau

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