Mallat小波分解在空气污染指数分析中的应用  

Application of Mallat Wavelet Decomposition on the Analysis of Air Pollution Index

作　　者：曹明[1] 林星春[1] 刘刚[1] 沈恒根[1] 

机构地区：[1]东华大学环境科学与工程学院

出　　处：《建筑热能通风空调》2007年第3期89-94,共6页Building Energy & Environment

摘　　要：小波分析法是一种窗口面积固定但形状、时间窗和频率窗都可以改变的时频域局域化方法,具有对信号的自适应能力。本文以可吸入颗粒物污染指数为例,利用Mallat分解在不同时频域的多分辩分析能力将其分解到不同的频域中进行分析,通过实际应用证明其效果良好。然后将Mallat小波分解方法应用于上海市城区全年可吸入颗粒物、SO2、NO2等污染物分析研究当中,结果表明秋冬两季煤、油等燃料的不完全燃烧对颗粒物浓度增加影响最大,而汽车尾气对后两者浓度的增加影响较大。Wavelet analysis is a method which has fixed window size and changeable form, time-windows and frequency-windows. Through using the multi-resolution analysis of Mallat decomposition in time-frequency domain to inhalabe particles, it is found feasiblely in practice. Applying the Mallat algorithm on the research which about the API of the inhalable particles, SO2, NO2 in Shanghai city for a whole year, it is found that the incomplete combustion of some fuel such as the fuel oil and coal in autumn and winter has the most effect on the increasing concentration of inhalable particles, and the car＇s tail gas has the same effect on the increase concentration of SO2 and NO2.

关 键 词：小波分解 MALLAT 算法 空气污染指数 可吸入颗粒物 影响因素 

分 类 号：X51[环境科学与工程—环境工程]