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杭州临安一次严重大气污染过程的气温与污染物特征
引用本文:王维,侯平,严淑娴,王宇胜. 杭州临安一次严重大气污染过程的气温与污染物特征[J]. 浙江农林大学学报, 2018, 35(6): 997-1006. DOI: 10.11833/j.issn.2095-0756.2018.06.002
作者姓名:王维  侯平  严淑娴  王宇胜
作者单位:1.浙江农林大学 林业与生物技术学院, 浙江 杭州 3113002.浙江农林大学 环境与资源学院, 浙江 杭州 311300
基金项目:国家自然科学基金资助项目31100325浙江省自然科学基金资助项目LQ17C160004
摘    要:为了研究严重污染过程大气温度与污染物的特征,选取杭州临安近3 a中一次严重大气污染过程,利用MTP5温度廓线仪数据和空气质量监测数据进行统计分析,探索气温和污染物变化特征。结果表明:①逆温现象主要集中在清晨和傍晚,全天温差超过7.0℃未出现逆温现象,逆温底高和顶高通常为400和700 m。②逆温厚度最大值为700.0 m,平均逆温厚度为359.9 m。逆温温差最大值为3.7℃,平均逆温为0.7℃。逆温温差与逆温厚度极显著相关(R2=0.914,P<0.01)。③细颗粒物(PM2.5)和可吸入颗料物(PM10)是主要污染物。该次严重污染期间,PM2.5和PM10质量浓度分别超过115和250 μg·m-3;二氧化硫、一氧化碳、臭氧、二氧化氮等4种气体在这次污染过程中始终处在优良状态。④PM2.5和PM10与逆温底高具有极显著正相关,逆温顶高与2种颗粒物质量浓度不存在显著相关。造成污染的原因之一是逆温底高度下降,垂直方向上颗粒物扩散受阻而产生大量聚集。

关 键 词:污染气象学   大气边界层   逆温   区域污染
收稿时间:2017-11-25

Atmospheric temperature and pollutants on heavy pollution days in Lin'an,Hangzhou
WANG Wei,HOU Ping,YAN Shuxian,WANG Yusheng. Atmospheric temperature and pollutants on heavy pollution days in Lin'an,Hangzhou[J]. Journal of Zhejiang A&F University, 2018, 35(6): 997-1006. DOI: 10.11833/j.issn.2095-0756.2018.06.002
Authors:WANG Wei  HOU Ping  YAN Shuxian  WANG Yusheng
Affiliation:1.School of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou 311300, Zhejiang, China2.School of Environmental & Resource Sciences, Zhejiang A&F University, Hangzhou 311300, Zhejiang, China
Abstract:To determine the atmospheric temperature and pollutant characteristics during periods of heavy pollution, a statistical analysis using data collected by MTP5 Temperature Profiler and Air Quality Monitoring System was made during serious air pollution incidents in Lin'an over the three years from 2015-2018. A correlation analysis was also conducted, which used statistical time series analysis. Results of the analysis showed that (1) temperature inversions were concentrated in the evening and early morning. When temperature differences between early morning and evening were over 7℃ all day, daytime temperature inversions did not appear. Inversion heights were usually 400 m at the base and 700 m at the top. (2) As for inversion thickness, the maximum was 700 m with an average of 359.9 m. The maximum temperature difference of an inversion was 3.7℃ with average of 0.7℃. The range of temperature had a highly significant correlation with inversion thickness (R2=0.914, P < 0.01). (3) Particulate matter PM2.5 and PM10 were the major pollutants. The concentration of PM2.5 exceeded 115 μg·m-3 and PM10 exceeded 250 μg·m-3. Four gases, SO2, CO, O3, and NO2, always had good quality during the pollution occurrences. (4) The base height of the inversion had highly significant correlations with PM2.5 (P < 0.01) and PM10 (P < 0.01) concentrations; however, no significant correlations were found for the top of the inversion. Thus, the cause of pollution was determined to be a decrease in the temperature inversion and the mass accumulation of particulate matter in the vertical direction.
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