2014年泉州市区PM2.5浓度的时空变化特征分析研究

基于2014年泉州市区环境空气自动监测站的PM2.5、PM10等监测数据,讨论市区PM2.5的时空分布特征.结果表明,泉州市区PM2.5浓度存在较为明显的时空分布特征.(1)时间分布特征:PM2.5的年均值为34μg/m3,月均值最大值出现在1月,最小值出现在7月;PM2.5浓度冬季最高,夏季最低,春冬两季明显高于夏秋;PM2.5/PM10最高值出现在2月,最低值出现在7月;PM2.5/PM10冬季最高,夏季最低.(2)空间分布特征:3个监测点位中,PM2.5浓度涂山街最高,津头埔略低,万安最低;PM2.5/PM10万安最高,涂山街略低,津头埔最低.时间分布特征与气象条件有一定关系,而空间分布特征与建成区的建成时间先后、地理位置差异等有一定关系.

Analysis on Temporal-Spatial Variations of PM2. 5 in Quanzhou City in 2014

Based on the monitoring data of PM2. 5 and PM10 from air automatic monitoring station of Quanzhou City, the time and space distribution characteristics of PM2. 5 in urban areas were discussed. The results showed that the spatial and temporal dis-tribution characteristics of PM2.5 concentration in the urban area of Quanzhou are obvious. (1)The time distribution characteristics of PM2. 5 concentration are as follows. The annual average concentration of PM2. 5 was 34μg/m3 . Monthly maximum of PM2. 5 con-centration was appeared in January while the minimum was appeared in July. The maximum of PM2. 5 concentration was appeared in winter while the minimum was appeared in summer. The concentration of PM2. 5 of winter and spring were significantly higher than other two seasons. The maximum of the ratio of PM2. 5 concentration to PM10 concentration was appeared in February while the minimum was appeared in July. The maximum of the ratio of PM2. 5 concentration to PM10 concentration was appeared in winter while the minimum was appeared in summer. (2)The space distribution characteristics of PM2.5 concentration are as follows. A-mong three monitoring points in urban areas, the annual average concentration of PM2. 5 of Tushan Street was the highest, while Jintoupu was lower and Wanan was the lowest. Among three monitoring points in urban areas, the ratio of PM2. 5 to PM10 of Wanan was the highest, while Tushan Street was lower and Jintoupu was the lowest. There was a certain relationship between the time distribution characteristics and meteorological conditions, while there was a certain relationship between the spatial distribution characteristics, the completion time of the built-up area and the geographical location.