气象因素对长沙市PM_(2.5)周期性变化规律的影响分析  被引量:15

Study on the Influence of Meteorological Factors on PM_(2. 5) Periodic Variation in Changsha City

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作  者:陈阳[1,2,3] 曾钰 张琴 彭庆庆[1,2,4] 罗岳平[1,2,3] 李蔚 

机构地区:[1]湖南省环境监测中心站,长沙410019 [2]国家环境保护重金属污染监测重点实验室,长沙410019 [3]湘潭大学化工学院,湖南湘潭411105 [4]湖南大学环境科学与工程学院,长沙410012 [5]湖南省气象台,长沙410118

出  处:《四川环境》2014年第6期81-87,共7页Sichuan Environment

基  金:环保公益项目:典型冶金化工产业密集区长株潭城市群空气质量持续改善与综合管理技术研究(201509019);湖南省社科基金重大招标项目:湖南省加强大气污染治理的思路与对策研究(14DA12);湖南省环保科技项目:湖南省城市环境空气中PM2.5及特殊项目污染现状调查及评估研究

摘  要:以长沙市10个城市环境空气自动监测站点2013年的历史监测数据为基础,分析了PM2.5质量浓度的周期性变化规律,并采用非参数分析(Pearson相关性)法,研究了气象因素对长沙市PM2.5质量浓度周期性变化的影响.结果表明,PM2.5日均质量浓度在不同季节的绝对值和变化周期都相差很大.总体上,PM2.5在冬季的浓度高于夏季;PM25质量浓度的变化周期在3~8d.在2013年4个典型月份内,温度和风速与PM2.5质量浓度负相关,而湿度和气压与PM2.5质量浓度正相关,相关系数分别为-0.573、-0.395、0.519和0.440.PM2.5周期性变化与区域内大气环境容量相关,而大风、降雨等强对流天气是终结PM2.5变化周期的主要环境因素.Based on the data of 10 ambient air quality automatic monitoring sites in Changsha city, this paper analyzed the periodic variation of mass concentration of PM2.5 and the influence of meteorological factors on the cyclical variation by using non-parametric analysis (Pearson correlation) method. The results indicated that the absolute value and cyclical variation of the daily average mass concentration of PM2.5 varied in different seasons. Generally, the PM2. 5 concentration in winter was higher than that in summer and the variation period was 3 ~ 8d. It showed that the mass concentration of PM2.5 had negative correlation with temperature and wind speed, while had positive correlation with humidity and atmospheric pressure in four typical months of 2013. The correlation coefficients were -0. 573, -0. 395, 0. 519 and 0. 440 respectively. The cyclical change of PM2.5 was related to the regional atmospheric environmental capacity, while high winds, rains and other severe convective weather were the major environmental factors to end the cyclic variations of PM2.5.

关 键 词:PM2.5 气象因素 周期性 环境容量 

分 类 号:X51[环境科学与工程—环境工程]

 

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