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Trends in Air Pollutant Concentrations and the Impact of Meteorology in Shandong Province, Coastal China, during 2013-2019

机译:空气污染物浓度的趋势与山东省气象的影响,沿海中国,2013 - 2019年

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Although weather conditions significantly affect air pollutant concentrations, few quantitative studies have been conducted on the effects of long-term and seasonal changes in meteorology on air quality. Hence, in this study, the trends in Shandong Province, China, for six criteria pollutants (viz., sulfur dioxide [SO2], carbon monoxide [CO], particulate matter [PM] with an aerodynamic diameter of < 10 μm [PM10], PM with an aerodynamic diameter of < 2.5 μm [PM2.5], nitrogen dioxide [NO2], and ozone [O3]) were analyzed for the period of 2013–2019, when overall emissions of air pollutants decreased, and the Weather Research and Forecasting model coupled with Chemistry (WRF/Chem) was applied to evaluate the role of inter-annual and seasonal meteorological changes. Five of the six criteria pollutants exhibited a sharp drop in concentration until 2017 and a gradual decline afterward, with the maximum and minimum annual values occurring during winter and summer, respectively. In contrast, the level of O3 rose between 2013 and 2019 and displayed the opposite seasonal trend. Also, the diurnal concentrations of the first five criteria pollutants showed a typical bimodal distribution, whereas those of the O3 showed a typical unimodal distribution. Furthermore, a trimodal distribution was observed for the ratios between the diurnal PM2.5 and PM10 concentrations. Using 2013 as the baseline, the inter-annual meteorological changes accounted for only 3.4–18.6% of the decrease in the five criteria pollutants—with little effect on the O3—between 2015 and 2019, indicating that emission control measures drove the long-term improvement in air quality during these years. However, seasonal meteorological factors, which favored diffusion during summer and winter but accumulation during spring and autumn, played a larger role in the short term for all six species, especially during winter, when they reduced concentrations (excluding those of SO2 in 2019 and O3 altogether) by 6.5–31.0%.
机译:虽然天气条件显着影响空气污染物浓度,但已经对气象学气象的长期和季节变化的影响进行了很少的量化研究。因此,在本研究中,山东省的趋势为六个标准污染物(二氧化硫,二氧化碳[SO2],一氧化碳[CO],颗粒物质[PM],空气动力直径<10μm[PM10]在2013 - 2019年期间,分析了具有<2.5μm,二氧化氮二氧化氮,二氧化氮[No2]和臭氧[O3]的PM的PM,当空气污染物的总排放减少和天气研究应用与化学(WRF / Chem)相结合的预测模型评估年间和季节气象变化的作用。六个标准污染物中的五分之一表现出急剧下降,直到2017年,之后逐渐下降,分别在冬季和夏季发生最大和最低年度价值。相比之下,2013年和2019年之间的O3水平上升,展示了相反的季节性趋势。此外,前五个标准污染物的昼夜浓度显示出典型的双峰分布,而O3的那些典型的单峰分布显示。此外,在昼夜PM2.5和PM10浓度之间的比率观察到三峰分布。使用2013年作为基线,年年间气象变化仅占五个标准污染物减少的3.4-18.6% - 对2015年至2019年之间的O3影响不大,表明排放控制措施推动了长期这些年内的空气质量提高。然而,季节性气象因素有利于夏季和冬季的扩散,但在春季和秋季积累,在所有六种物种的短期内发挥了更大的作用,特别是在冬季,当他们减少浓度(不包括2019年的SO2和O3)共计6.5-31.0%。

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