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Effects of meteorology and emission reduction measures on air pollution in Beijing during heating seasons

机译:气象与减排措施对加热季节空气污染的影响

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Beijing implemented five-year clean air plan during 2013–2017, and realized the continuous improvement of air quality in the whole city year by year. In this study, the MK (Mann-Kendall) test and KZ (Kolmogorov-Zurbenko) filtering analysis method were applied to evaluate the variations of PM2.5 concentration at different sites in Beijing before and after the filtering meteorological conditions. The results showed that the averaged PM2.5 concentrations in five sites decreased by 29.82% after filtering weather conditions, which was significantly lower than the average decrease rate (33.61%) of the original data. The emissions by human activities contributed about 69–94% to the decreased PM2.5 concentrations during 2013–2017?at different sites in Beijing while the meteorological conditions contributed not more than 31% indicating the leading role of the emission reduction measures in the air quality improvement in Beijing. Contrary to the monthly averaged trends, the original PM2.5 concentrations in heating seasons during 2013–2016 did not decrease obviously and not passed the significant test (α = 0.1) due to the unfavor weather conditions which always aggravated degree and duration of air pollution. In order to further improve air quality, emission reduction measures such as reducing coal combustion, reducing oil consumption, controlling vehicles, emissions reduction, and cleaning dust should be continuously promoted.
机译:北京在2013 - 2017年实施了五年的清洁空气计划,并实现了全市空气质量的不断提高。在本研究中,应用MK(MANN-KENDALL)测试和KZ(KOLMOGOOROV-ZURBENKO)过滤分析方法来评估北京在过滤气象条件前后不同位点的PM2.5浓度的变化。结果表明,过滤天气条件后,5位点的平均PM2.5浓度降低了29.82%,这显着低于原数据的平均降低率(33.61%)。人类活动的排放量约为2013 - 2017年减少的PM2.5浓度约为69-94%?在北京的不同地点,而气象条件贡献不超过31%,表明减排措施在空中减排措施的主导作用北京的质量改善。与月平均趋势相反,2013 - 2016年在加热季节中的原始PM2.5浓度显然并未降低,而未通过显着的测试(α= 0.1),因为始终加剧空气污染的程度和持续时间。为了进一步提高空气质量,应不断促进减排煤燃烧,减少油耗,控制车辆,减少排放和清洁粉尘等排放减排措施。

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