Analysis on the Spatial and Temporal Distribution Characteristics of Air Pollution in Main Cities of Hebei Province
ZHENG Ni-na;XU Ya-qi;CHAN Yuan-lan;Civil and Environmental Engineering College,Anhui Xinhua University;Anhui Zhongwang Environmental Protection and Energy Conservation Testing Co.Ltd.;
In this paper,the air quality of eight typical cities( Xingtai,Baoding,Shijiazhuang,Handan,Hengshui,Tangshan,Langfang and Cangzhou)of Hebei Province were investigated. PM2.5,PM10,SO2,NO2,CO and O3 are selected as the air pollution factor. The spatial and temporal distribution characteristics of air pollution in Hebei province in 2014-2016 are analyzed. The analysis results show that the concentrations of AQI,PM10,PM2.5 and SO2 in the eight cities showed a downward trend in 2014-2016,and the overall air quality improved. The average annual concentration of NO2 in Cangzhou and Hengshui,and the mean value of O3 in Hengshui and Tangshan increased year by year. The average annual concentration of particulate matter in the eight cities exceeded the second level limit of national air quality standard,and the maximum number was up to 2.3. Except for Cangzhou in 2014,the average annual value of NO2 in the rest of the cities exceeded the standard. The seasonal variation analysis shows that the seasonal variation trend of pollution factor and AQI,is basically the same. The air quality in summer and autumn is better than that in spring and winter,and the worst is in winter. O3 is just the opposite. The high values of PM10,PM2.5,SO2,NO2 and CO were mainly distributed in January and December,and the low value was in June to September. The comparison of air quality between 8 cities shows that the proportion of excellent air qulity days in Langfang and Cangzhou is account for over 50%,the air quality is better,and the air quality in Xingtai,Baoding,Tangshan and Shijiazhuang is relatively poor,which is related to the location and industrial layout.
【Fund】： 安徽新华学院校级科研项目(2017zr008);安徽新华学院校级教研项目(2017jxtdx06);; 安徽省高等学校自然科学研究重点项目(KJ2018A0594、KJ2018A0585、KJ2017A620);; 安徽省高等教育振兴计划项目(2014zytz036)资助
【CateGory Index】： X51
【CateGory Index】： X51