| Abstrakt: |
Based on the continuous observation data and NOAA reanalysis data of the Akdala Atmospheric Observatory from 2015 to 2017, using conventional statistical methods and the HYSPLIT backward trajectory model, the cluster concentration analysis of the station and the airflow trajectories in different seasons are clustered. The results showed that the overall CO concentration showed a downward trend, but the downward trend was not obvious. The monthly mean concentration of CO showed a peak-trough change and followed the heating period-non-heating period alternately. The diurnal variation of CO concentration in heating period and non-heating period was single peak type. The hourly concentration and variation range of CO in heating period were higher than those in non-heating period. The low CO concentration area mainly appears in the W-WNW-NW-NNW sector, where the wind frequency and wind speed show high values. The high CO concentration area mainly appears in the SW-SSW-S-SSE sector, where the wind frequency and wind speed present low values. The various airflow trajectories in the seasons mainly come from the northwest, west, and southwest directions, accounting for 50% to 80%. At the same time, the airflow has the fastest speed and the longest transmission distance, which helps CO diffusion, and the corresponding average CO concentration is small. The airflow trajectory in the southwest and southerly directions passes through Karamay, Urumqi, Changji and other industrial areas, which helps to transport CO, and the corresponding average CO concentration is the highest. [ABSTRACT FROM AUTHOR] |
