Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan.
Research Center for Environmental Changes, Academia Sinica, Taipei 11529, Taiwan.
Sci Total Environ. 2023 Aug 20;887:163919. doi: 10.1016/j.scitotenv.2023.163919. Epub 2023 May 8.
Much attention has been found to the long-range transport (LRT) of air pollutants and their adverse effects on downwind air qualities resulting from the Chinese haze, which frequently occurs in association with winter monsoon. This study integrates ground-based measurements, unmanned aerial vehicles (UAVs), and model simulations to characterize the meteorological, chemical, and particulate matter (PM) properties comprehensively for the events that were LRT or local pollution (LP) dominated in northern Taiwan during the wintertime of 2017. During the two types of episodes, various approaches were made to investigate the vertical mixing conditions and PM properties with UAV flights. A confined and PM accumulated feature near ground level with a temperature inversion was found during the LP event. In contrast, a vertically homogeneous atmospheric structure with strong winds was suggested during the LRT event. Independent measurements of criteria air pollutants, meteorological variables, volatile organic compounds (VOCs), and micropulse lidar (MPL) made at the ground level were closely supported by the vertical measurements. When synchronizing all these observational and numerical tools in a three-dimensional manner, the characterization of air masses and possible origins of pollution, such as LP vs. LRT, has now become more versatile and capable of gaining a complete picture of atmospheric conditions that define air quality.
人们已经关注到污染物的长距离传输(LRT)及其对下风空气质量的不利影响,这是由于中国霾的频繁发生,通常与冬季季风有关。本研究综合了地面测量、无人机(UAV)和模型模拟,以全面描述 2017 年冬季台湾北部 LRT 或本地污染(LP)主导事件的气象、化学和颗粒物(PM)特性。在这两种类型的事件中,使用无人机飞行进行了各种方法来研究垂直混合条件和 PM 特性。在 LP 事件中,发现地面附近存在限制和 PM 积累特征以及温度逆温。相比之下,在 LRT 事件中,建议采用垂直均匀的大气结构和强风。在地面上进行的空气质量标准污染物、气象变量、挥发性有机化合物(VOC)和微脉冲激光雷达(MPL)的独立测量得到了垂直测量的密切支持。当以三维方式同步所有这些观测和数值工具时,对空气团的特征以及污染的可能来源(例如 LP 与 LRT)的描述变得更加多样化,并且能够全面了解定义空气质量的大气条件。