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PM 2.5  pollution has become a serious urban environmental problem, especially in developing countries with increasing urbanization. Understanding the proportion of PM 2.5  generation sources has laid a foundation for better PM 2.5  concentration reduction This paper used Point of Interesting (POI)data, building profile data of Xi’an, PM 2.5  concentration and wind monitoring data of five provinces near Xi’an as the basic data. And this paper studied the spatial distribution of various buildings in Xi’an, the temporal and spatial distribution of PM 2.5  in Xi’an and the five provinces, and found that the spatial distribution of PM 2.5  concentration in Xi’an and the building distribution in Xi’an does not match. Based on this, a quantitative model of PM 2.5  concentration in Xi’an, energy consumption, wind, and other factors is established through the qualitative and quantitative analysis of PM 2.5  concentration in Xi’an. Entropy theory and dissipative structure theory are applied to analyze this phenomenon. The results show PM 2.5  in Xi’an mainly comes from the spread of PM 2.5  in the five provinces. The PM 2.5  generated by energy consumption in Xi’an is not enough to cause serious PM 2.5  pollution. And further suggestions on how to reduce PM 2.5  concentration in Xi’an are put forward.

Research on PM2.5 concentration based on dissipative structure theory: a case study of Xi’an, China