Anhui Institute of Meteorological Sciences, Key Laboratory for Atmospheric Sciences and Remote Sensing of Anhui Province, Hefei 230031, China.
School of Earth and Space Sciences, University of Science and Technology of China, Anhui 230026, China.
Sci Total Environ. 2018 Nov 15;642:1221-1232. doi: 10.1016/j.scitotenv.2018.06.137. Epub 2018 Jun 20.
Cities in Anhui province in the western Yangtze River Delta (YRD), China experienced more PM pollution days in the winter of 2016/2017 (Dec 2016 to Feb 2017) than in the previous two winters under conditions of emission deductions. By employing back-trajectory-clustering analysis together with daily air quality index (AQI) data from 2015 to 2017, routine and reanalysis meteorological data, and some climate indices, we investigated the transport paths, large-scale vertical motion and related climate background conducive to PM pollution in Anhui province. We obtained 5 air-mass paths affecting Anhui province in winter; among them, the slow-moving air-masses from the northeast and northwest often led to PM pollution. Thus, they belong to adverse transport paths, which accounted for approximately 52% in northern Anhui and 62% in central Anhui. Compared with winter 2015/2016, the proportions of adverse transport paths in winter 2016/2017 increased 13% in Hefei (central site), 3% in Suzhou (northern site), and 9% in Chizhou (southern site); correspondingly, east winds increased, and north winds weakened in the boundary layer, which favoured the accumulation of pollutants in Anhui. The processes of pollution and cleaning in Anhui were also closely related to vertical motion of the middle troposphere (500 hPa), and the sinking (ascending) corresponding to the aggravation (mitigation) of pollution. Compared with the winter of 2015/2016, the percentage of downward vertical velocity at 500 hPa exceeding 0.2 Pa/s increased evidently in the winter of 2016/2017. Thus, the vertical velocity at 500 hPa can be used as an important factor for air quality prediction in winter. The interannual changes in transport conditions are related to changes in the Asia zonal and meridional circulations and may further be ascribed to the thermal and dynamic conditions in the Tropical Ocean.
中国长江三角洲(长三角)西部安徽省的城市在 2016/2017 年冬季(2016 年 12 月至 2017 年 2 月)经历了比前两个冬季更多的 PM 污染日,尽管排放有所减少。通过采用后轨迹聚类分析以及 2015 年至 2017 年的每日空气质量指数(AQI)数据、常规和再分析气象数据以及一些气候指数,我们调查了影响安徽省的污染物传输路径、大尺度垂直运动和相关的气候背景。我们获得了影响安徽省冬季的 5 种大气团路径;其中,来自东北和西北的缓慢移动大气团常常导致 PM 污染,因此属于不利的传输路径,在北部安徽占 52%,在中部安徽占 62%。与 2015/2016 年冬季相比,2016/2017 年冬季在合肥(中部站点)、苏州(北部站点)和池州(南部站点),不利传输路径的比例分别增加了 13%、3%和 9%;相应地,边界层东风增加,北风减弱,有利于污染物在安徽的积累。安徽的污染和清洁过程也与中层大气(500 hPa)的垂直运动密切相关,污染加剧(缓解)与下沉(上升)相对应。与 2015/2016 年冬季相比,2016/2017 年冬季 500 hPa 处垂直速度超过 0.2 Pa/s 的百分比明显增加。因此,500 hPa 处的垂直速度可用作冬季空气质量预测的重要因素。传输条件的年际变化与亚洲纬向和经向环流的变化有关,并且可能进一步归因于热带海洋的热力和动力条件。