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小波分解在空气污染指数分析中的应用
引用本文:曹明,林星春,刘刚.小波分解在空气污染指数分析中的应用[J].中国环保产业,2006(10):13-17.
作者姓名:曹明  林星春  刘刚
作者单位:东华大学环境科学与工程学院,上海,201620
摘    要:本文利用Mallat分解在不同时频域的多分辩分析能力,以可吸入颗粒物污染指数为例,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。将Mallat法应用于上海市城区全年可吸入颗粒物、SO2、NO2等污染物的分析研究当中,发现秋冬两季煤、油等燃料的不完全燃烧对颗粒物浓度的增加影响最大,而汽车尾气对后两者浓度增加的影响也较大。

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
文章编号:1006-5377(2006)10-0013-05

Application of Mallat Wavelet Deposition in Air Pollution Index Analyses
CAO Ming,LIN Xing-chun,LIU Gang.Application of Mallat Wavelet Deposition in Air Pollution Index Analyses[J].China Environmental Protection Industry,2006(10):13-17.
Authors:CAO Ming  LIN Xing-chun  LIU Gang
Abstract:By using the multi-resolution and analytical capacity of Mallat decomposition in different time frequency and taking absorptive particulate pollution index as an example, the paper makes analyses and proves its good result. Mallat is applied to the urban areas of Shanghai for the analysis and research on pollutants such as absorptive particulate, SO2 and NO2. It is found that it influences greatly in Autumn and Winter because of its incomplete combustion of oil and coal fuels and increase of particulate concentration. Meanwhile, tail gas of vehicle has a great influence with the increase of concentration of SO2 and NO2.
Keywords:wavelet decomposition  Mallat algorithm  air pollution index  absorptive particulate  effect factor
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