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Quantifying the impact of synoptic circulation patterns on ozone variability in northern China from April to October 2013–2017

机译:2013-2017年4月至10月至10月10日,对中国北方臭氧循环模式对臭氧循环模式的影响

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The characteristics of ozone variations and the impacts of synoptic and local meteorological factors in northern China were quantitatively analyzed during the warm season from 2013 to 2017 based on multi-city in situ ozone and meteorological data as well as meteorological reanalysis. The domain-averaged maximum daily 8 h running average O3 (MDA8 O3) concentration was 122±11 μg m?3, with an increase rate of 7.88 μg m?3 yr?1, and the three most polluted months were closely related to the variations in the synoptic circulation patterns, which occurred in June (149 μg m?3), May (138 μg m?3) and July (132 μg m?3). A total of 26 weather types (merged into five weather categories) were objectively identified using the Lamb–Jenkinson method. The highly polluted weather categories included the S–W–N directions (geostrophic wind direction diverts from south to north), low-pressure-related weather types (LP) and cyclone type, which the study area controlled by a low-pressure center (C), and the corresponding domain-averaged MDA8 O3 concentrations were 122, 126 and 128 μg m?3, respectively. Based on the frequency and intensity changes of the synoptic circulation patterns, 39.2 % of the interannual increase in the domain-averaged O3 from 2013 to 2017 was attributed to synoptic changes, and the intensity of the synoptic circulation patterns was the dominant factor. Using synoptic classification and local meteorological factors, the segmented synoptic-regression approach was established to evaluate and forecast daily ozone variability on an urban scale. The results showed that this method is practical in most cities, and the dominant factors are the maximum temperature, southerly winds, relative humidity on the previous day and on the same day, and total cloud cover. Overall, 41 %–63 % of the day-to-day variability in the MDA8 O3 concentrations was due to local meteorological variations in most cities over northern China, except for two cities: QHD (Qinhuangdao) at 34 % and ZZ (Zhengzhou) at 20 %. Our quantitative exploration of the influence of both synoptic and local meteorological factors on interannual and day-to-day ozone variability will provide a scientific basis for evaluating emission reduction measures that have been implemented by the national and local governments to mitigate air pollution in northern China.
机译:臭氧变化的特点及中国北部天气和局部气象因素的影响是在2013年至2017年的温暖季节的基础上,基于Multi-City原位臭氧和气象数据以及气象再分析。域平均每日8小时运行平均O3(MDA8 O3)浓度为122±11μgm≤3,增加率为7.88μgm≤1,并且三个最污染的月份与之密切相关六月发生的略微循环模式的变化(149μgm≤3),可以(138μgm≤3)和7月(132μgm≤3)。客观地使用Lamb-Jenkinson方法客观地确定共26种天气类型(合并为五种气象类别)。高污染的天气类别包括S-W-N方向(来自南北地球节风向转移),低压相关天气类型(LP)和旋风式,由低压中心控制的研究区域( C),相应的域平均MDA8 O 3浓度分别为122,126和128μgm≤3。基于衰减循环模式的频率和强度变化,2013年至2017年域平均O3的际际增加的39.2%归因于概要变化,并且天气循环模式的强度是主导因素。采用浅析分类和局部气象因素,建立了分段的天气回归方法,以评估和预测城市规模的日常臭氧变异。结果表明,该方法在大多数城市的实际实际,主导因素是最高温度,南风风,前一天的相对湿度,以及总云覆盖。总体而言,MDA8 O3浓度的41%-63%的日常变异性是由于中国北方大多数城市的局部气象变异,除了两个城市:QHD(秦皇岛)34%和ZZ(郑州)以20%。我们对跨期和日常气象因素对际和日常臭氧变异性的影响的定量探索将为评估国家和地方政府实施的减排措施提供科学依据,以减轻中国北方的空气污染。

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