Studying On Characteristics Of Air Pollution,Cause Analysis And Prediction In Coal Mining Area

At present,China is a coal-producing coal country,there are several large-scale coal production base,and for large-scale mining area of air pollution research is relatively rare.In this paper,with the coal mine as the object of study,to reduce the level of air pollution in the mining area for the purpose of identifying the following aspects of research work:?1?The atmospheric pollution status,temporal and spatial distribution characteristics and the correlation analysis of each pollutant in the same coal mine area were studied.The results show that the spatial and temporal distribution of air pollution in the study area is obvious.Since 2005,the level of air pollution has been declining,and the main pollutants have been gradually changed from sulfur dioxide to particulate matter.The spatial distribution is closely polluted by urban and industrial enterprises Higher,to the surrounding gradually decreased;the correlation between the pollutants with the seasonal changes are more obvious.?2?The PM_2.5 samples were sampled at two stages during the non-heating period?8-9month?and the heating period?December-January?,and PM_2.5 source analysis,to determine the coal mine with the main source of particulate PM_2.5 coal source,motor vehicle source,dust source,other industrial sources.The contribution rates of each pollution source in non-heating period were 33%,19%,28% and 20% respectively,and the contribution rates were45%,13%,28% and 14% respectively.?3?Using the basic data of each mine in the collected mining area,the A-P method is used to calculate the environmental capacity of the study area and the pollutant discharge of each mine,and compare it with its actual discharge.The comparison results show that the sulfur dioxide emissions from Datong Coal Mine Group Co.,Ltd.,Ma Jiliang Mine and BaiDong Mine are slightly exceeded,and the remaining mining areas in the study area are within the allowable emission limits.?4?BP neural network method is used to carry out network implementation,and the mean value of AQI index and PM_2.5 concentration are predicted and tested.The results show that the accuracy of the simulation is 79% and 63% respectively,and the mean value of the AQI index and the mean value of PM_2.5 concentration can be predicted by BP neural network.