作　　者： (邓绪伟）; (黄宇）; (李中强）; (李海波）; (苏命）; (朱志超）; (赵素娟）;

机构地区： 湖北大学资源环境学院、区域开发与环境响应湖北省重点实验室,武汉430062

出　　处： 《环境工程学报》 2017年第9期5152-5158,共7页

摘　　要： 了解大气颗粒物浓度的时空变化格局对于大气污染防治、预警预报等具有重要理论和实践意义。根据2015年1月至2015年12月湖北省13个主要城市53个监测站点每小时发布的PM10和PM2.5浓度数据,研究了湖北省大气颗粒物浓度时空变化特征。结果表明,PM10和PM2.5浓度在空间上均呈现出鄂西部最低、中部最高、东部居中、南北向的均质性;时间上各城市均呈现颗粒物浓度随着月份变化先降低后升高,1月份最高,8月份最低,且呈现夏季浓度<秋季浓度<春季浓度<冬季浓度的变化规律。分析表明,湖北省大气颗粒物浓度时空变化特征与降水量、气温等气象因子呈现出显著负相关关系,与风速关系不显著;与其来源中建筑施工面积、机动车保有量、货运量和客运量、人均GDP和人均第二产值关系紧密。 The analysis of spatial and temporal variations of atmospheric particulate matter is significant for atmosphere pollution control,early warning and forecast. In this study,the spatial and temporal variations of PM10 and PM2. 5in Hubei province were studied through PM10 and PM2. 5per hour concentration data which collected from 53 monitoring sites distributed in 13 main cities during January 2015 to December 2015. The results showed that there were obvious spatial heterogeneous in the distribution of PM10 and PM2. 5concentrations in east-west and north-south,with lowest in the west region,highest in the central region,and middle in east region. Also,the PM10 and PM2. 5concentrations in all cities changed dramatically with time,and there was a pattern of PM10 and PM2. 5concentrations in summer 〈PM10 and PM2. 5concentrations in autumn 〈PM10 and PM2. 5concentrations in spring 〈PM10 and PM2. 5concentrations in winter. The lowest PM10 and PM2. 5concentrations occured in the summer and the highest occured in January. Correlation analysis indicated that there were a significant negative correlation between PM10 and PM2. 5concentrations and precipitation and temperature,and sin significant postive correlation existed between 〈PM10 and PM2. 5concentrations and human factors,such as construction area,motor vehicle ownership,freight and passenger traffic,the per capita GDP and per capita output.

关 键 词： 大气颗粒物 时空格局 气候条件 污染物排放