A Land Use Regression Application into Simulating Spatial Distribution Characteristics of Particulate Matter (PM2.5) Concentration in City of Xi’an, China
Bin Guo 1  
,   Xiaoxia Wang 1  
,   Donghai Zhang 1  
,   Lin Pei 2  
,   Dingming Zhang 1,   Xiaofeng Wang 3, 4
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College of Geomatics, Xi’an University of Science and Technology, Xi’an, China
School of Public Health, Xi’an JiaoTong University, Xi’an, China
Shaanxi Key Laboratory of Land Consolidation, Xi’an, China
School of Earth Science and Resources, Chang’an University, Xi’an, China
Bin Guo   

College of Geomatics, Xi'an University of Science and Technology, China
Submission date: 2019-12-25
Final revision date: 2020-02-08
Acceptance date: 2020-02-24
Online publication date: 2020-05-22
Publication date: 2020-08-05
Pol. J. Environ. Stud. 2020;29(6):4065–4076
Decreasing of PM2.5 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 PM2.5 in heating and non-heating seasons in Xi'an. The results showed that: (1) The R2 of LUR was larger than 0.9, and the simulation results were better than previous studies. (2) The PM2.5 concentration in the heating season was larger than in the non-heating season. In Xi’an, the distribution of PM2.5 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 PM2.5 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 PM2.5 pollution control and a reliable method for simulating PM2.5 concentration in other cities.