Identifying decadal trends in deweathered concentrations of criteria air pollutants in Canadian urban atmospheres with machine learning approaches

IF 5.2 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Xiaohong Yao, Leiming Zhang
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Abstract

Abstract. This study investigates long-term trends of criteria air pollutants, including NO2, CO, SO2, O3 and PM2.5, and Ox (meaning NO2+O3) measured in 10 Canadian cities during the last 2 to 3 decades. We also investigated associated driving forces in terms of emission reductions, perturbations due to varying weather conditions and large-scale wildfires, as well as changes in O3 sources and sinks. Two machine learning methods, the random forest algorithm and boosted regression trees, were used to extract deweathered mixing ratios (or mass concentrations) of the pollutants. The Mann–Kendall trend test of the deweathered and original annual average concentrations of the pollutants showed that, on the timescale of 20 years or longer, perturbation due to varying weather conditions on the decadal trends of the pollutants are minimal (within ±2 %) in about 70 % of the studied cases, although it might be larger (but at most 16 %) in the remaining cases. NO2, CO and SO2 showed decreasing trends in the last 2 to 3 decades in all the cities except CO in Montréal. O3 showed increasing trends in all the cities except Halifax, mainly due to weakened titration reaction between O3 and NO. Ox, however, showed decreasing trends in all the cities except Victoria, because the increase in O3 is much less than the decrease in NO2. In three of the five eastern Canadian cities, emission reductions dominated the decreasing trends in PM2.5, but no significant trends in PM2.5 were observed in the other two cites. In the five western Canadian cities, increasing or no significant trends in PM2.5 were observed, likely due to unpredictable large-scale wildfires overwhelming or balancing the impacts of emission reductions on PM2.5. In addition, despite improving air quality during the last 2 decades in most cities, an air quality health index of above 10 (representing a very high risk condition) still occasionally occurred after 2010 in western Canadian cities because of the increased large-scale wildfires.
用机器学习方法识别加拿大城市大气中标准空气污染物脱硫浓度的十年趋势
摘要本研究调查了过去 20 到 30 年间在加拿大 10 个城市测量到的标准空气污染物(包括 NO2、CO、SO2、O3 和 PM2.5)和 Ox(指 NO2+O3)的长期趋势。我们还研究了减排、不同天气条件和大规模野火造成的扰动以及 O3 源和汇的变化等方面的相关驱动力。随机森林算法和提升回归树这两种机器学习方法被用来提取污染物的风化混合比(或质量浓度)。对污染物的去风化浓度和原始年平均浓度进行的 Mann-Kendall 趋势测试表明,在 20 年或更长的时间尺度上,在约 70% 的研究案例中,天气条件变化对污染物十年趋势的扰动极小(在 ±2% 以内),但在其余案例中,扰动可能较大(但最多为 16%)。除蒙特利尔的 CO 外,所有城市的 NO2、CO 和 SO2 在过去 20 到 30 年中都呈下降趋势。O3 在除哈利法克斯以外的所有城市都呈上升趋势,这主要是由于 O3 和 NO 之间的滴定反应减弱所致。然而,除维多利亚外,所有城市的氧化物都呈下降趋势,这是因为 O3 的增幅远远小于 NO2 的降幅。在加拿大东部五个城市中的三个城市,PM2.5 的下降趋势主要是排放减少造成的,但在另外两个城市没有观察到 PM2.5 的显著趋势。在加拿大西部的五个城市,观察到 PM2.5 呈上升趋势或无显著趋势,这可能是由于不可预测的大规模野火压倒或平衡了减排对 PM2.5 的影响。此外,尽管大多数城市的空气质量在过去 20 年中有所改善,但由于大规模野火的增加,加拿大西部城市的空气质量健康指数在 2010 年后仍偶尔超过 10(代表极高风险状况)。
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来源期刊
Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics 地学-气象与大气科学
CiteScore
10.70
自引率
20.60%
发文量
702
审稿时长
6 months
期刊介绍: Atmospheric Chemistry and Physics (ACP) is a not-for-profit international scientific journal dedicated to the publication and public discussion of high-quality studies investigating the Earth''s atmosphere and the underlying chemical and physical processes. It covers the altitude range from the land and ocean surface up to the turbopause, including the troposphere, stratosphere, and mesosphere. The main subject areas comprise atmospheric modelling, field measurements, remote sensing, and laboratory studies of gases, aerosols, clouds and precipitation, isotopes, radiation, dynamics, biosphere interactions, and hydrosphere interactions. The journal scope is focused on studies with general implications for atmospheric science rather than investigations that are primarily of local or technical interest.
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