Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10149641 | Atmospheric Research | 2019 | 8 Pages |
Abstract
Quantitative evaluation of background concentrations of pollutants in atmospheric field can help us implement effective measures to improve air quality. The aim of this study was to estimate background concentrations of PM10 and PM2.5 in Xinjiang using meteorological filter and the Eckhardt algorithm. In this study, the meteorological factors including wind direction, wind speed and temperature were used to filter the background periods. Results showed that annual average background concentrations of PM10 and PM2.5 in Xinjiang were 112â¯Î¼g/m3 and 39â¯Î¼g/m3 in 2016, respectively. There were seasonal differences on background concentrations of PMs in Northern and Southern Xinjiang, and the background concentrations in Southern Xinjiang were much higher than those in Northern Xinjiang. Background concentrations from easterly wind (49â¯Î¼g/m3 for PM10 and 29â¯Î¼g/m3 for PM2.5) and westerly wind (179â¯Î¼g/m3 for PM10 and 63â¯Î¼g/m3 for PM2.5) were the highest in Northern Xinjiang and Southern Xinjiang, respectively. Dust from Taklimakan Desert had great contribution to the background concentrations of PMs in Southern Xinjiang area. Good correlations were obtained when comparing the two methods. The differences of annual average background concentrations in Xinjiang between two methods were 9â¯Î¼g/m3 for PM10 and 4â¯Î¼g/m3 for PM2.5. The estimated background concentrations by the proposed method can be used by local government to develop more efficient pollution control policies.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Atmospheric Science
Authors
Yaqian Wang, Jieqiong Zhang, Zhipeng Bai, Wen Yang, Hui Zhang, Jian Mao, YanLing Sun, Zhenxing Ma, Jian Xiao, Shuang Gao, Li Chen,