重庆市主城区PM_(2.5)时空分布特征  

Temporal and Spatial Distribution Characteristics of PM_(2.5) in Chongqing Urban Areas

作　　者：刘永林[1] 孙启民[2] 钟明洋[3,4] 钟部卿[5] 雒昆利[6] 

机构地区：[1]重庆师范大学地理与旅游学院,重庆401331 [2]长安大学建筑学院,西安710064 [3]重庆地质矿产研究院外生成矿与矿山环境重庆市重点实验室,重庆400042 [4]重庆地质矿产研究院煤炭资源与安全开采国家重点实验室重庆研究中心,重庆400042 [5]中国环境科学研究院,北京100012 [6]中国科学院地理科学与资源研究所,北京100101

出　　处：《环境科学》2016年第4期1219-1229,共11页Environmental Science

基　　金：国家自然科学基金项目(41502329);国家重点基础研究发展计划(973)项目(2014CB238906);重庆市社会科学规划项目博士项目(2014BS094)

摘　　要：利用2014年6月1日至2015年5月31日重庆市主城区17个国控空气质量监测站24 h自动连续采样的PM_(2.5)浓度数据,探讨了重庆市主城区PM_(2.5)时空分布特征.结果表明:1重庆市主城区PM_(2.5)季节浓度由高到低依次为冬季(100.2μg·m^(-3))、秋季(66.1μg·m^(-3))、春季(45.9μg·m^(-3))和夏季(33.4μg·m^(-3))(P<0.05).2重庆市主城区PM_(2.5)月均浓度变化呈单峰单谷型,1月PM_(2.5)月均浓度最高(P<0.05),达到120.8μg·m-3.3逐日变化,国控17个空气质量监测站PM_(2.5)日均浓度曲线都呈现出尖峰和深谷交替变化的锯齿状.4重庆市主城区16个国控监测点(除缙云山对照点)PM_(2.5)浓度日变化在全年、春季、秋季和冬季都呈现明显的双峰双谷型.5PM_(2.5)与SO_2、NO_2和CO都呈显著正相关(P<0.01),表明SO_2、NO_2和CO的二次转化对PM_(2.5)浓度具有显著影响.To explore the diurnal and seasonal characteristics of PM2.5,hourly PM2.5concentration data of 17 fixed monitoring sites in Chongqing urban area were collected continuously from June 2014 to May 2015. The result showed that： 1the seasonal concentration of PM2.5in different seasons decreased in the order of winter,autumn,spring and summer（ P〈0. 05）,which were 100. 2 μg·m^-3,66. 1 μg·m-（-3）,45. 9 μg·m^-3 and 33. 4 μg·m^-3,respectively. 2 Monthly average concentrations of PM2.5showed a single-peak curve,and the peaks of which occurred in January（ P〈0. 05）,120. 8 μg·m^-3）. 3 For the whole year,daily variation of PM2.5showed a jaggies curve. 4 Diurnal average concentrations of PM2.5showed an obviously bimodal curve in winter,autumn and spring,but it was less obvious in summer. 5 Daily PM2.5concentration was significantly positively correlated with SO2,NO2 and CO（ P〈 0. 01）,indicating that the concentrations of SO2,NO2 and CO had a significant impact on the concentration of PM2.5.

关 键 词：重庆市主城区 PM2.5 时间分布 空间分布 气象条件 

分 类 号：X513[环境科学与工程—环境工程]