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Variability of NO 2 concentrations over China and effect on air quality derived from satellite and ground-based observations

机译:无2浓度对中国的变异性和对卫星和地面观测的空气质量的影响

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The variation of NO 2 concentrations in mainland China is analyzed on different timescales, from decadal to weekly, using both satellite data and data from ground-based monitoring networks. TROPOMI (TROPOspheric Monitoring Instrument) data were used to study the spatial variations of tropospheric NO 2 vertical column densities (TVCDs) over the study area during 16–20 weeks after the Chinese Spring Festival (25 January 2020). These data were used to select 11 regions for more detailed analysis of the variation of NO 2 TVCDs on a decadal timescale. In this analysis, monthly and annual averaged NO 2 TVCDs derived from OMI (Ozone Monitoring Instrument) observations were used for the years 2011 to 2019. The results show the NO 2 TVCD trends for different regions, all decreasing in response to emission reduction policies but with a different onset and a possible halt of the decrease in recent years; trends and period in the south of the study area are different from those in the north. Variations of NO 2 TVCDs on shorter timescales, monthly and weekly, were analyzed using TROPOMI data. In addition, the variations of weekly-averaged ground-based NO 2 concentrations in 11 major cities were analyzed together with those for O 3 and PM 2.5 . In particular these data were used to determine their effect on the air quality as expressed by the air quality index (AQI). For quantitative estimates, the use of weekly concentrations is more accurate than the use of monthly values, and the effects of long-term trends and their reversal needs to be taken into account for the separation of effects of the lockdown and the Spring Festival. Neglecting the possible reversal of the trends leads to overestimation of the lockdown effect in the south and underestimation in the north. The ground-based data confirm earlier reports, based on satellite observations, that the expected improvement of air quality due to the reduction of NO 2 concentrations was offset by the increase of the concentrations of O 3 and the different effects of the lockdown measures on PM 2.5 , as well as effects of meteorological influences and heterogeneous chemistry. The AQI seems to be mostly influenced by PM 2.5 rather than NO 2 . A qualitative comparison between time series of satellite and ground-based NO 2 observations shows both similarities and differences. The study further shows the different behaviors in city clusters in the north and south of China, as well as inland in the Sichuan and Guanzhong basins. Effects of other holidays and events are small, except in Beijing where the air quality in 2020 was notably better than in previous years. This study was undertaken for China, but the methodology and results have consequences for air quality studies in other areas, and part of the conclusions are generally applicable.
机译:在不同的时间尺寸,从Decadal到每周,使用基于地面的监测网络的数据和数据来分析中国大陆的2个浓度的变化。在中国春节(2012年1月25日)之后的16-20周内,卓越(对流层监测仪)数据用于研究对流层,在研究区内的对流层垂直柱密度(TVCD)的空间变化(2012年1月25日)。这些数据用于选择11个区域,以便更详细地分析Decadal Timescale上的2个无线电无线电的变化。在此分析中,2011年至2019年,每月和年度平均的无2源自OMI(臭氧监测仪)观察的无线电视观察结果。结果显示了不同地区的2个TVCD趋势,响应减排政策,所有降低近年来较近年来的起点和可能停止减少;研究区南部的趋势和时期与北方的趋势和时期不同。使用Trobomi数据分析了在较短的时间尺度,每周和每周的2号无能为力的变化。此外,与O 3和PM 2.5的那些分析了11个主要城市的每周平均基于地面的2个浓度的变化。特别地,这些数据用于确定它们对由空气质量指数(AQI)表示的空气质量的影响。对于定量估计,每周浓度的使用比使用每月价值的使用更准确,并且需要考虑长期趋势及其逆转的影响,以分离锁定和春节的影响。忽视趋势的可能逆转导致南方锁定效应的高估和低估北方。基于地面的数据基于卫星观察确认了早期的报告,即由于O 3浓度的增加和锁定措施对PM的浓度增加而导致的空气质量的预期提高抵消2.5,以及气象影响和异质化学的影响。 AQI似乎主要受到PM 2.5而不是2的影响。时间序列与基于地面的2号观察结果之间的定性比较显示了相似之处和差异。该研究进一步展示了中国北部和南部的城市集群中的不同行为,以及四川和围荫盆地的内陆。其他假期和活动的影响很小,除北京外,2020年的空气质量显着优于前几年。该研究是为中国进行的,但方法论和结果对其他领域的空气质量研究产生了后果,部分结论通常适用。

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