摘要
基于对天津市23个自动空气质量监测站点的SO_2、NO_2、PM_(10)、PM_(2.5)、CO和O_3监测数据进行分析,掌握了2014年12月1日-2015年11月30日期间各项污染物的时空分布特征,并选取主要污染物分析其时间变化特征和空间分布特征.采用Kriging方法对6项污染物进行分析,获取天津市大气污染物的空间插值分布图.研究结果表明,天津市PM_(10)质量浓度年均值为113μg/m^3,PM_(2.5)年均值为69μg/m^3,均超过二级标准;颗粒物质量浓度呈现明显的季节变化特征,PM_(2.5)浓度季均值从高到低依次为冬季(95μg/m^3)、秋季(64μg/m^3)、春季(63μg/m^3)、夏季(54μg/m^3);站点对比结果表明团泊洼站点污染最严重,而塘沽环保局优良率最高.从空间分布来看,PM_(10)、PM_(2.5)、SO_2、NO_2均表现出中部至南部区域为高值分布区域,说明天津市本地污染排放对大气环境污染的贡献为主要影响因素;而O_3和CO均表现为市区浓度较低而天津市南北区域形成高值且呈现相反分布.
Based on the analysis of SO2 NO2. PM10. PM2.5. CO and O3 data of 23 automatic air quality monitoring stations in Tianjin, the temporal and spatial distribution characteristics of the six contaminants from December 1 2014 to November 30 2015 were analyzed. And the Kriging method was used to analyze the six pollutants and obtain the spatial interpolation distribution map of pollutants in Tianjin. The results showed that the annual average concentrations of PM10 （113 μg/m^3 ） and PM2.5 （69 μg/m3） were exceeded the standard. The average concentrations of PM2.5 in different seasons decreased in the order of winter （95μg/m3）, autumn （64 μg/m3）, spring （63 μgg/m3） and summer （54 μg/m3）. The results of 23 sites comparisons showed that the most serious site was Tuanbowa site, while the cleanest site was Tanggu Environ- mental Protection Bureau site. From the spatial distribution, PM10, PM2.5, SO2 and NO2 showed a high val- ue distribution in the central to southern region, which indicated that the main contribution factor of atmo- spheric pollution in Tianjin was the local pollution emissions. The spatial distributions of O3 and CO were lower in the urban area and higher in the surrounding area that showed the opposite distribution.
出处
《南开大学学报（自然科学版）》
CAS
CSCD
北大核心
2017年第2期11-17,共7页
Acta Scientiarum Naturalium Universitatis Nankaiensis
