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当前位置: 首页 > 文章 > 基于小波变换的石河子市近10年空气污染指数变化 安徽农业科学 2014,42 (32) 11460-11463
Position: Home > Articles > Wavelet Analysis of Air Pollution Index Changes in Shihezi in Recent 10 Years Journal of Anhui Agricultural Sciences 2014,42 (32) 11460-11463

基于小波变换的石河子市近10年空气污染指数变化

作  者：
王涛;孜比布拉·司马义;周玄德;陈溯
单  位：
新疆大学资源与环境科学学院
关键词：
小波变换;石河子市;空气污染指数;时间序列
摘  要：
采用一维连续Morlet小波变换对石河子市近10年逐日空气污染指数的时间序列进行分析,研究了该市大气污染时间序列的多尺度变化特征。结果表明:石河子市近10年空气污染指数在不同时间尺度上具有不同的周期性变化规律,且以275 d左右的变化为主周期,520 d左右的变化为次周期;受特定的地理条件的影响,大气污染呈现"冬重夏轻"的格局,且受天山山脉以及沙尘天气的影响,往往伴随春季污染次高峰的发生,每年8月份左右和2月份左右是10年中大气污染轻重状况转换的极值点;石河子市年大气污染状况总体趋是夏季空气质量好转,冬季大气质量恶化,有时会发生局部空气质量恶化。小波变换分析对于研究空气污染指数以及大气污染物时间序列变化规律的影响非常有效。
译  名：
Wavelet Analysis of Air Pollution Index Changes in Shihezi in Recent 10 Years
作  者：
WANG Tao;ZIBIBULA Simayi;ZHOU Xuan-de;College of Resourse and Enironment Sciences,Xinjiang University;Key Laboratory of Intellectualizing City and Environmental Modeling,School of Resource and Environmental Science,Xinjiang University;Key Laboratory of Oasis Ecology of Ministry of Education,Xinjiang University;
关键词：
Wavelet analysis;;Shihezi City;;Air pollution index;;Time-scale
摘  要：
Using a one-dimensional continuous Morlet wavelet transform to analyze the time series of daily air pollution index in Shihezi City in recent 10 years. The multi- scale variation characteristics of the time series of air pollution was studied. The results showed that: the air pollution index in different time scales has different periodic change rules of Shihezi City in recent 10 years,the primary period of the daily variations was around 275 d and the secondary period was around 520 d. Due to specific geographical conditions the atmospheric pollution presents the situation of winter heavy summer light,and affected by Tianshan Mountains and the dust weather,the secondary pollution peaks occur often in spring. Every year in August is the point of best time of air quality and the February is worst during the recent 10 years; The general status of air pollution is that: the summer air quality is improvement,but winter air quality deterioration,however,the serious air pollution sometimes worsened with the rapid social development. Wavelet transform analysis is very effective to study time series of air pollution index and atmospheric pollutants.

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