| 基于小波变换的上海市近10年SO2污染指数的变化 |
| 摘要点击 2093 全文点击 1505 投稿时间：2008-09-17 修订日期：2008-12-22 |
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| 中文关键词 小波分析 SO2污染指数 时间-尺度变换 上海市 |
| 英文关键词 wavelet analysis SO2 pollution index time-scale transform Shanghai City |
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| 中文摘要 |
| 对上海市近10年逐日SO2污染指数时间序列进行一维连续Mexican Hat小波变换分析，研究了SO2污染物的多尺度演化特征、主周期、突变点和变化因素.结果表明，上海市SO2污染指数在不同时间尺度上具有不同的“高-低”交替变化规律，且以100 d左右的变化为主周期；SO2污染受气象条件的影响，呈现出“冬重夏轻”的格局，春、秋分日前后是一年中SO2污染轻重状况转换的突变点；经济高速发展对能源需求的增长，使上海市为改善SO2的努力“事倍功半”：污染总体仍呈上升趋势.小波变换方法用于SO2污染时间序列的分析是有效的，也适用于其他污染物的时间演变规律研究. |
| 英文摘要 |
| Based on the continuous Mexican Hat wavelet transformation of time series of daily SO2 pollution index during last 10 years in Shanghai, the multiscale variations, primary period, catastrophe point and influencing factors are analyzed. The result shows that periodical fluctuation of SO2 pollution index varies at diverse time-scales, and the primary period of the daily variations is about 100 days; pollution pattern takes on serious in winter and light in summer in most scales due to meteorological conditions, and the catastrophe point of serious-light transformation of SO2 pollution index in a year is vernal and autumnal equinox; energy demand and socioeconomic development result in more seriousness in recent years and half result with twice the effort of endeavors of pollution elimination. Wavelet analysis is an effective method to time series of SO2 pollution index, also to multiscale variations of other pollutants. |
