Research on PM_2.5 concentration based on dissipative structure theory: a case study of Xi'an, China

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.