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Global impact of COVID-19 restrictions on the surface concentrations of nitrogen dioxide and ozone

机译:Covid-19对二氧化氮表面浓度的限制的全球影响

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Social distancing to combat the COVID-19 pandemic has led to widespread reductions in air pollutant emissions. Quantifying these changes requires a business-as-usual counterfactual that accounts for the synoptic and seasonal variability of air pollutants. We use a machine learning algorithm driven by information from the NASA GEOS-CF model to assess changes in nitrogen dioxide (NO 2 ) and ozone (O 3 ) at 5756 observation sites in 46?countries from January through June 2020. Reductions in NO 2 coincide with the timing and intensity of COVID-19 restrictions, ranging from 60?% in severely affected cities (e.g., Wuhan, Milan) to little change (e.g., Rio de Janeiro, Taipei). On average, NO 2 concentrations were 18?(13–23)?% lower than business as usual from February 2020 onward. China experienced the earliest and steepest decline, but concentrations since April have mostly recovered and remained within 5?% of the business-as-usual estimate. NO 2 reductions in Europe and the US have been more gradual, with a halting recovery starting in late March. We estimate that the global NO x (NO? + ?NO 2 ) emission reduction during the first 6?months of 2020 amounted to 3.1 (2.6–3.6) TgN, equivalent to 5.5?(4.7–6.4)?% of the annual anthropogenic total. The response of surface O 3 is complicated by competing influences of nonlinear atmospheric chemistry. While surface O 3 increased by up to 50?% in some locations, we find the overall net impact on daily average O 3 between February–June 2020 to be small. However, our analysis indicates a flattening of the O 3 diurnal cycle with an increase in nighttime ozone due to reduced titration and a decrease in daytime ozone, reflecting a reduction in photochemical production. The O 3 response is dependent on season, timescale, and environment, with declines in surface O 3 forecasted if NO x emission reductions continue.
机译:社会疏远战斗Covid-19大流行导致空气污染物排放量广泛降低。量化这些变化需要一个常见的反事实,占空气污染物的概要和季节变异性。我们使用来自NASA Geos-CF模型的信息驱动的机器学习算法,以评估在46年1月至6月20日至6月5756年的5756个观察站点的二氧化氮(NO 2)和臭氧(O 3)的变化。与Covid-19限制的时序和强度一致,范围从60?%,严重影响的城市(例如,武汉,米兰)到几乎没有变化(例如,里约热内卢,台北)。平均而言,从2月2020日之前,没有2次浓度为18?(13-23)?%低于业务。中国经历了最早,最陡峭的下降,但自4月份以来的浓度主要恢复,仍然在5?百分比范围内仍然在5?百分比范围内。欧洲和美国没有2次减少,从3月下旬开始,恢复恢复。我们估计全球NO X(NO?+?否2)减排在前6个月的2020年的排放量为3.1(2.6-3.6)TGN,相当于5.5?(4.7-6.4)?%年度人为的%全部的。通过非线性大气化学的竞争影响,表面O 3的响应复杂。在某些地方的表面o 3增加到50℃,我们在2月2020年2月至6月间的每日平均O 3的总体净冲击较小。然而,我们的分析表明O 3昼夜循环的平坦化,随着滴定的减少和白天臭氧的减少而增加,夜间臭氧增加,反映了光化学生产的降低。 o 3响应依赖于季节,时间尺度和环境,如果没有x排放减少继续,则在表面o 3的情况下逐渐下降。

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