引用本文:林小平,巫楚,曾树森,钟流举,叶斯琪,张辉.河源市城区春季PM2.5典型污染过程案例分析[J].环境监控与预警,2017,9(4):49-54
LIN Xiao ping, WU Chu, ZENG Shu sen, ZHONG Liu ju, YE Si qi, ZHANG Hui.Case Study of PM2.5Pollution Episode in Spring of Heyuan City[J].Environmental Monitoring and Forewarning,2017,9(4):49-54
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河源市城区春季PM2.5典型污染过程案例分析
林小平,巫楚,曾树森,钟流举,叶斯琪,张辉1,2,3
1. 河源市环境监测站,广东 河源 517000;2. 暨南大学,广东 广州 510632;3. 广东省环境监测中心,广东 广州 510220
摘要:
以河源市区2016年3月27日—4月4日污染过程为研究对象,基于同期气象条件与空气质量监测数据,分析了PM2.5与气象因子间的相关性,探究河源市区PM2.5污染变化特征。结果表明,3月30日河源市ρ(PM2.5)/ρ(PM10)和ρ(PM2.5)/ρ(CO)分别为0.87和0.08,明显高于其他时段,说明当天细颗粒物污染老化和二次转化程度突出。在此次污染过程的2个不同阶段,河源市ρ(PM2.5)波动受到多项气象要素共同影响,其中与气压先后呈现较强负相关(R2=0.646 2)和不明显正相关(R2=0.006 5),与气温呈现不明显正相关(R2=0.008 4,R2=0.033 9),与风速先后呈现弱负相关(R2=0.105 2)和不明显正相关(R2=0.072 9),与相对湿度先后呈现弱正相关(R2=0.391 3)和弱负相关(R2=0.176 9)。通过比较该时段河源市与周边城市的ρ(PM2.5)变化趋势及后向轨迹分析,发现河源市与周边城市在相似的气象背景条件下,PM2.5污染主要来源于本地源排放和珠三角区域传输。
关键词:  可入肺颗粒物  可吸入颗粒物  一氧化碳  污染过程  气象因素  相关性  河源
DOI:
分类号:X513
文献标识码:B
基金项目:
Case Study of PM2.5Pollution Episode in Spring of Heyuan City
LIN Xiaoping, WU Chu, ZENG Shusen, ZHONG Liuju, YE Siqi, ZHANG Hui1,2,3
1.Heyuan Environmental Monitoring Station, Heyuan,Guangdong517000, China;2.Jinan University, Guangzhou,〖JP〗 Guangdong 510632, China;3.Guangdong Environmental Monitoring Center, Guangzhou, Guangdong 510220, China
Abstract:
During March 27th to April 4th, 2016, Heyuan experienced a pollution episode. The pollution process was studied based on the meteorological data and air quality monitoring data during this period. The results showed that, ρ(PM2.5)/ρ(PM10) and ρ(PM2.5)/ρ(CO) in Heyuan on March 30th were 0.87 and 0.08 respectively, apparently higher than those on other days, implying the remarkable aging and secondary transformation characteristics. In the two different periods of the episode, PM2.5 concentration fluctuations in Heyuan were affected by various meteorological factors, among which, PM2.5 concentrations were apparently negatively correlated (R2=0.646 2)and inapparently positively correlated (R2=0.006 5) with air pressure succesively, inapparently positively correlated with temperature(R2 was 0.008 4 and 0.033 9 respectively), weakly negatively correlated (R2=0.105 2)and inapparently positively correlated (R2=0.072 9) with wind speed succesively, and weakly positively correlated (R2 =0.391 3) and weakly negatively correlated (R2 = 0.176 9) with relate humidity succesuvely. Besides, comparisons of PM2.5 concentration variation trends between Heyuan and surrounding cities together with the backward trajectory analysis showed that, the pollution episode in Heyuan was resulted from both local source emissions and PRD regional air pollution transmission.
Key words:  PM2.5  PM102.5  CO  Pollution episode  Meteorological factor  Correlation  Heyuan