A Land Use Regression Application into SimulatingSpatial Distribution Characteristics of ParticulateMatter (PM<sub>2.5</sub>) Concentration in Cityof Xi’an, China
Bin Guo, Xiaoxia Wang, Donghai Zhang, Lin Pei, Dingming Zhang, Xiaofeng Wang
Abstract
Decreasing of PM 2.5 concentration in the heating season was not significant in Xi'an. This article determined a land use regression (LUR) model and researched the distribution characteristics of PM 2.5 in heating and non-heating seasons in Xi'an. The results showed that: (1) The R 2 of LUR was larger than 0.9, and the simulation results were better than previous studies. (2) The PM 2.5 concentration in the heating season was larger than in the non-heating season. In Xi'an, the distribution of PM 2.5 concentration was low in the southeast and high in the northwest in the non-heating season and was low in the southeast and high in the main urban region in the heating season. (3) The PM 2.5 concentration was affected by temperature, average air pressure, altitude, humidity and precipitation in non-heating season and was influenced by precipitation, altitude, average air pressure, vegetation, and density of roads in heating season. (4) This paper showed some improvements in selection of potential variables for LUR model, and the conclusion can provide a scientific basis for PM 2.5 pollution control and a reliable method for simulating PM 2.5 concentration in other cities.