PM2.5相关因素分析及其演变预测  

Analysis of factors related to PM2.5 and prediction for its evolution

作　　者：李伟[1] 姜志平[1] 李俊坡 刘皞[2] 

机构地区：[1]南京航空航天大学航空宇航学院,江苏南京210016 [2]南京航空航天大学理学院,江苏南京211106

出　　处：《现代电子技术》2014年第18期63-66,69,共5页Modern Electronics Technique

基　　金：国家自然科学基金(11071118)

摘　　要：采用统计学方法对西安地区监测点空气质量指数AQI包含的6个基本监测指标进行相关性分析。得出了PM2.5与其余5项监测指标的具体关系。由于PM2.5污染源具有分散性,通过监测数据求得当量污染源位置及相关参数,并基于瞬时高斯模型和杜哈梅积分建立了描述区域PM2.5浓度及其演变的数学模型。根据《环境空气质量标准》(GB3095-2012)动态地给出随时间变化的重度污染区域以及安全区域。Correlation analysis of AQI （air quality index） including the six basic monitoring indicators was conducted with statistical method. The specific relationship between PM2.5 and the other five indicators was achieved. As the dispersivity of pol- lution sources of PN2.5, the location and its relevant parameters of the equivalent pollution source were calculated according to monitoring data. Besides, the math model describing the PM2.5 concentration and its evolution was established based on the in- stantaneous Gauss model and Duhamel integral. According to the “Ambient Air Quality Standards” （GB3095-2012）, the se- riously polluted and safe areas changing with time are illustrated dynamically.

关 键 词：PM2.5 相关性分析 高斯模型 当量污染源 杜哈梅积分 

分 类 号：TN919.34[电子电信—通信与信息系统] TP319[电子电信—信息与通信工程]