Research Center for Environmental Changes, Academia Sinica, Taipei, 11529, Taiwan.
Research Center for Environmental Changes, Academia Sinica, Taipei, 11529, Taiwan.
J Environ Manage. 2022 Sep 15;318:115614. doi: 10.1016/j.jenvman.2022.115614. Epub 2022 Jun 29.
Since the 24-hr PM (particle aerodynamic diameter less than 2.5 μm) concentration standard was regulated in Taiwan in 2012, the PM concentration has been decreasing year by year, but the ozone (O) concentration remains almost the same. In particular, the daily maximum 8-hr average O (MDA8 O) concentration frequently exceeds the standard. The goal of this study is to find a solution for reducing PM and O simultaneously by numerical modeling. After the Volatile Organic Compounds (VOC)-limited and nitrogen oxides (NO)-limited areas were defined in Taiwan, then, in total, 50 scenarios are simulated in this study. In terms of the average in Taiwan, the effect of VOC emission reduction is better than that of NO on the decrease in PM concentration, when the same reduction proportion (20%, 40%) is implemented. While the effect of further NO emission reduction (60%) will exceed that of VOC. The decrease in PM is proportional to the reduction in precursor emissions such as NO, VOC, sulfur dioxides (SO), and ammonia (NH). The lower reduction of NO emission for whole Taiwan caused O increases on average but higher reduction can ease the increase, which suggests the implement of NO emission reductions must be cautious. When comparing administrative jurisdictions in terms of grids, districts/towns, and cities/counties, it was found that controlling NO and VOC at a finer spatial resolution of control units did not benefit the decrease in PM but did benefit the decrease in O. The enhanced O control strategies obviously cause a higher decrease of O throughout Taiwan due to NO and VOC emission changes when they are implemented in the right places. Finally, three sets of short-term and long-term goals of controlling PM and O simultaneously are drawn from the comprehensive rankings for all simulated scenarios, depending on whether PM or O control is more urgent. In principle, the short-term scenarios could be ordinary or enhanced version of O decrease with lower NO/VOC emissions, while the long-term scenario is enhanced version of O decrease plus high emission reductions for all precursors.
自 2012 年台湾制定 24 小时 PM(空气动力学直径小于 2.5μm 的颗粒物)浓度标准以来,PM 浓度逐年下降,但臭氧(O)浓度几乎保持不变。特别是,每日最大 8 小时平均臭氧(MDA8 O)浓度经常超标。本研究的目的是通过数值模拟找到同时减少 PM 和 O 的解决方案。在台湾确定挥发性有机化合物(VOC)限制区和氮氧化物(NO)限制区后,本研究共模拟了 50 种情景。就台湾平均而言,当实施相同的减排比例(20%、40%)时,减少 VOC 排放对降低 PM 浓度的效果优于减少 NO。而进一步减少 NO 排放(60%)的效果将超过 VOC。PM 的减少与前体排放(如 NO、VOC、二氧化硫(SO)和氨(NH))的减少成正比。由于整个台湾的 NO 排放量减少较少,导致 O 平均增加,但更高的减排可以缓解增加,这表明必须谨慎实施 NO 减排。在按行政区、乡镇、市县进行网格比较时,发现控制单元的 NO 和 VOC 空间分辨率越精细,对 PM 的减少没有好处,但对 O 的减少有好处。当在正确的地点实施时,增强型 O 控制策略会由于 NO 和 VOC 排放变化而明显导致整个台湾的 O 下降幅度更高。最后,根据所有模拟情景的综合排名,从控制 PM 和 O 同时的短期和长期目标中得出了三组,具体取决于 PM 或 O 控制更为紧迫。原则上,短期情景可以是普通或增强版的 O 减排,NO/VOC 排放量较低,而长期情景是增强版的 O 减排加上所有前体的高减排。