空气中PM2.5的扩散衰减与预测分析

以西安市2013年1月1日-9月19日的空气污染监测数据为例,采用非稳态的二维多箱模型,综合考虑了风向、季节等因素的影响,对西安市PM2.5的面源污染扩散和衰减规律进行模拟预测,计算模型相对误差;再选用高斯模型对某一天西安市突发情况下PM2.5浓度扩散情况进行点源污染扩散预测,并评价模型的有效性.

Analysis of Density of PM2.5 under Diffusion and Attenuation

Using the daily air pollution index and data from 1 January 2013 to 19 September2013 in Xi'an City,we investigate the diffusion and attenuation of PM2.5 and give a prediction of non-point source pollution density,which is based on non-stationary two-dimensional multi-box model,while considering the effect of seasons and wind direction.Then,we use a Gaussian diffusion model to predict point source pollution of Xi'an city in emergency situations.Furthermore,by comparing the real measured value and numeric value,we evaluate the validity of our proposed model as well as giving the relative error.