| 山西省PM_(10)气溶胶污染特征分析 |
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| 引用本文： | 岳江,杨爱琴,王小兰,闫世明.山西省PM_(10)气溶胶污染特征分析[J].内蒙古气象,2013(3):15-19,43. |
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| 作者姓名： | 岳江 杨爱琴 王小兰 闫世明 |
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| 作者单位： | 山西省气象科学研究所,山西太原,030002 |
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| 摘 要： | 文章针对大同市2006—2009年、榆社县2006—2008年PM10质量浓度数据,使用趋势分析、后向轨迹模拟不同高度的PM10的传输路径,可以看出:PM10浓度的日变化特征为"两高三低";PM10浓度日际变化不明显,只在典型日PM10浓度值明显增大;PM10浓度月变化特征为1、5、12月浓度高,春季5月份由于为沙尘期浓度高。PM10浓度季节变化规律与采暖期和非采暖期变化相符合,即采暖期的冬春季浓度高、非采暖期的夏秋季浓度低;从2006—2009年间,两站PM10质量浓度基本呈逐年下降趋势。不同气象要素与PM10浓度的相关性,按相关系数绝对值从大到小排列依次为:露点温度、气温、降水量、相对湿度。其中露点温度和PM10浓度呈显著负相关性,气温与PM10浓度呈较弱负相关性。
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| 关 键 词： | PM10气溶胶 污染特征 分析 |
Analysis on PM10 Aerosol Pollution Characteristics in Shanxi Province |
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| Authors: | Yue Jiang Yang Aiqing Wang Xiaolan Yan Shiming |
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| Institution: | (Shanxi Meteorological Science Research Institute,Shanxi Taiyuan 030002) |
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| Abstract: | This article has analyzed many problems about PM10 aerosol with trend analysis, backward trace model which simulated the PM10 aerosol transport track of Datong during 2006 to 2009 and Yushe during 2006 to 2008.It showed that PM10 concentration variation on the occasion was ＂two higher and three lower＂, PM10 diurnal concentrations did not change significantly, only in the windy day more obvious changes in concentration of PM10. On variation of PM10 concentrations in January, May and December were higher, which in May due to high concentrations of dust in spring. Seasonal variation of PM10 concentration can be in line with the heating period and non-heating period. That concentration of the heating period of the winter and spring were high, non-heating peri- od of the summer and autumn were low; from 2006--2009, between two stations the essential PM10 mass concentration showed a declining trend. The correlation between different meteorological factors and PM10 mass concentration existed, the sequence which arrayed from largest to smallest was dew point temperature, temperature, precipitation, relalive humidity. The correlation of dew point temperature and PM10 mass concentration was negative obviously, the correlation of temperature and PM10 mass concentration was negative weakly. |
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| Keywords: | PM10 aerosol Pollution Character Analysis |
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