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Influences of ambient air pollutants and meteorological conditions on ozone variations in Kaohsiung, Taiwan

机译：台湾高雄市的环境空气污染物和气象条件对臭氧变化的影响

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The complex process of ozone formation, its precursor compounds (volatile organic compounds (VOCs) and nitrogen oxides (NO_x)) emissions, accompanying with meteorological conditions, makes troposphere ozone difficult to control. This study applies dynamic factor analysis (DFA) to investigate the time series of ambient ozone concentrations and their associations with meteorological variables. The analyses were applied on the hourly data collected at the four monitoring stations in Kaohsiung (Taiwan) during the 72-h periods with three events in high and low ozone episodes in 2009. According to the optimal DFA model, NO_x negatively control ozone variations in all events. Relative humidity (RH) only negatively influences the ozone fluctuations in low ozone episode. The sea-land wind speed (i.e. west direction) and air temperature positively affect ozone fluctuations in high ozone episode. CO significantly influences ozone fluctuations in main city area for high ozone episode and in all stations for low ozone episode. However, VOC did not significantly correlate with ozone fluctuations for both ozone episodes. The results show that ozone conditions of both episodes were in NO_x-saturated regimes, where increased NO_x would result in lower ozone. Temperature, RH, and sea-land wind speed can be treated as metrological variables, which significantly vary the concentrations of surface-level ozone. This study shows DFA can provide a quantitative insight into the temporal variations of CO, NO_x, and meteorological conditions effects on ozone variations that will be a reference to air quality management in the study area.
机译：臭氧形成的复杂过程，其前体化合物（挥发性有机化合物（VOCs）和氮氧化物（NO_x））的排放以及气象条件，使得对流层臭氧难以控制。这项研究应用动态因子分析（DFA）来研究环境臭氧浓度的时间序列及其与气象变量的关系。将这些分析应用于在72小时内在台湾高雄（台湾）的四个监测站收集的每小时数据，并在2009年发生了3次高，低臭氧事件。根据最佳DFA模型，NO_x负控制着臭氧的变化。所有事件。相对湿度（RH）仅对低臭氧事件中的臭氧波动产生负面影响。在高臭氧事件中，海陆风速（即西风）和气温会积极影响臭氧波动。一氧化碳会严重影响主要城市地区的臭氧波动（高臭氧事件）和所有站点的臭氧波动（低臭氧事件）。但是，VOC与两个臭氧事件的臭氧波动均没有显着相关。结果表明，这两个事件的臭氧条件均处于NO_x饱和状态，其中NO_x的增加将导致臭氧含量降低。可以将温度，相对湿度和海风速视为计量变量，这些变量会显着改变表面臭氧的浓度。这项研究表明，DFA可以定量分析CO，NO_x的时间变化以及气象条件对臭氧变化的影响，这将成为研究区域空气质量管理的参考。

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