| With the frequent smog and haze in various regions of our country,the pollution of aerosol particles is extremely serious and endanger human health.In particular,some heavy industry factories in northeast China,traffic emissions and combustion of coal combustion and other aerosol particles become the main sources of air pollution in urban areas,causing the outdoor particulate matter concentration continued to grow,and outdoor respirable particulate matter is an important source of indoor particulate matter.Therefore,combined with the climatic conditions in the north and the characteristics of residential buildings,the study on the rules of dispersion of indoor and outdoor particulate matter and its correlation can not only improve the indoor air quality,but also have great significance to human health and provide a reference to pollution control methods.In this paper,the correlation between indoor and outdoor particulate matter concentration of two typical heavy industry cities in Shenyang,Fushun and residential buildings in Yingkou,a non-heavy industrial city in northern China was studied.The method of field measurement and long-term monitoring index was used to test the quality of aerosol detector and air quality monitor under different operating conditions.The variation of mass concentration of particulate matter under different working conditions was analyzed.The results show that the seasonal variation of particulate matter concentration is obvious The values of the winter are much higher than those in transitional season and the values of the transitional season are much higher than those in summer.The over-standard rate and over-standard multiple under the closed condition are higher than the non-sealed condition;The seasonal variation of the decreasing concentration of particulate matter in vertical space from high to low is autumn?winter and summer and the seasonal variation of fast decreasing type from high to low is summer?winter and transitional season.The correlation between fine PM2.5 and particulate PM10 is extremely high.Using FLUENT numerical simulation technology to analyze the indoor temperature field,velocity field,particle mass concentration field and particle trajectory distribution under different operating conditions,the inlet temperature has a certain impact on the indoor particle distribution and concentration,the higher the temperature,the simulated indoor particle The numerical value of the concentration of fine particles under infiltration is slightly higher than that under natural ventilation.Applying the principle of dimensionality reduction of principal component analysis to convert multiple monitoring variables,such as indoor and outdoor particle concentration,into two principal components can make the principal component has more superior performance than the original variable and can cover more information.Multivariate linear regression analysis is also used to establish a fitting model of indoor fine particle concentration and establish seven monitoring indicators to analyze the factors that affect the concentration of indoor and outdoor particulate matter.In this paper,the indoor and outdoor particulate matter mass concentration correlation study to calculate the indoor and outdoor particulate matter 10 ratio;the use of experimental data analysis of the number of air changes on the particulate matter in the same number of ventilation conditions,coarse particles than the fine particle penetration coefficient is small,With the increase of air exchange rate,the permeability coefficient P of different particles gradually increases.When the test time is 12 minutes,the number of air exchange decreases greatly,and the permeability coefficient tends to be stable at this time.The establishment of overlapping model of random components reflects the trend of outdoor concentration,which will lay a good foundation for the control method of indoor particle pollution next. |
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