重庆主城区春季典型天气的大气颗粒物浓度变化分析
Concentration analysis of atmospheric particulate matter under typical spring weather condition in Chongqing
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摘要: 选取重庆大气超级站2010年春季典型天气时段的颗粒物实时监测数据，将β射线法和震荡天平法（TEOM法）的PM10监测值进行了比对，分析了PM10、PM2.5和PM1质量浓度百分比例关系及10 μm以下颗粒物数浓度随粒径大小的分布规律。结果表明，β射线法与TEOM法的PM10监测结果基本一致，β射线法比TEOM法监测值平均偏低5.4%；PM2.5、PM1和PM0.5的数浓度均占PM10数浓度的98%以上；PM0.25数浓度占PM10数浓度的平均比例为34.9%，占PM1数浓度的平均比例为35.1%；TEOM法监测的PM2.5占PM10日均质量浓度平均比例为51.2%；β射线法监测的PM2.5占PM10日均质量浓度平均比例为56.9%，PM1占PM10平均比例为30.9%。Abstract: Using the real-time monitoring data of atmospheric particulate matter under typical weather at the atmosphere observation super station of Chongqing in spring 2010， a comparison of PM10 monitoring data from two methods: β-ray absorption and micro-libration (TEOM) was made. Then concentration correlation of PM10， PM2.5 and PM1 was analyzed， and the number concentration as a function of distribution of particles smaller than 10 μm was investigated. The results showed that PM10 monitoring data from two methods-β-ray absorption and TEOM were in well agreement， and the former was 5.4% lower than TEOM. Number concentration of PM2.5， PM1 and PM0.5 accounted for more than 98% of PM10. Average number concentration of PM0.25 accounted for 34.9% of PM10 and accounted for 35.1% of PM1. 24 hours’ average mass concentration of PM2.5 accounted for 51.2% of PM10 monitored by TEOM. By β-ray absorption method， 24 hours’ average mass concentration of PM2.5 and PM1 accounted for 56.9% and 30.9% of PM10， respectively.
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