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嘉善冬季碳质气溶胶变化特征及其来源解析

本站小编 Free考研考试/2021-12-31

中文关键词碳质气溶胶MRS方法二次有机碳潜在源区居家隔离 英文关键词carbonaceous aerosolMRS methodsecondary organic carbonpotential source regionlockdown
作者单位E-mail
张颖龙浙江省嘉兴生态环境监测中心, 嘉兴 314000ylzhang219@126.com
李莉浙江省嘉兴生态环境监测中心, 嘉兴 314000
吴伟超浙江省嘉兴生态环境监测中心, 嘉兴 314000
吕升浙江省嘉兴生态环境监测中心, 嘉兴 314000
秦阳南京信息工程大学大气物理学院, 南京 210044
祝新明浙江省嘉兴生态环境监测中心, 嘉兴 314000
高晋徽南方科技大学海洋科学与工程系, 深圳 518055
唐倩浙江省生态环境监测中心, 杭州 310012
夏峥浙江省生态环境监测中心, 杭州 310012
中文摘要 利用2018年冬季(2018年12月至2019年2月)和2019年冬季(2019年12月至2020年2月)嘉兴市嘉善县善西超级站有机碳(OC)、元素碳(EC)及细颗粒物(PM2.5)浓度数据分析嘉兴嘉善地区碳质气溶胶变化特征及潜在来源区域.结果表明,2018年和2019年冬季OC浓度分别为6.90μg·m-3和5.63μg·m-3,EC浓度分别为2.47μg·m-3和1.57μg·m-3,2019年冬季OC和EC浓度较2018年冬季降幅分别为18.4%和36.4%.利用Minimum R-squared (MRS)方法计算得到2018年和2019年冬季二次有机碳(SOC)分别为1.49μg·m-3和1.97μg·m-3,一次有机碳(POC)浓度分别为5.41μg·m-3和3.66μg·m-3,SOC在OC中占比呈上升趋势,上升31.1个百分点,POC占比变化则相反.值得注意的是,随着PM2.5浓度升高,OC和EC浓度呈上升趋势,最高上升幅度分别为474.7%和408.2%,但在PM2.5中占比却呈下降趋势,OC和EC占比下降幅度分别为6.5个百分点和2.4个百分点;POC对PM2.5的贡献波动不大,仅在150μg·m-3以上有明显降低趋势,SOC对PM2.5的贡献先下降后上升.嘉兴OC和EC潜在源区主要为苏南地区、安徽东南部和浙江北部,且2019年冬季和2018年冬季相比,OC和EC的主要潜在源区贡献浓度分别下降2μg·m-3和6μg·m-3以上,且潜在源区高值区域变小.疫情前受机动车尾气排放和燃煤共同影响,春节和居家隔离期间,因交通管制等原因,机动车排放量减少,燃煤贡献占比上升. 英文摘要 Organic carbon (OC), elemental carbon (EC), and PM2.5 concentration data obtained from Shanxi Super Station in Jiashan County of Jiaxing City, in the winter of 2018 and 2019, were analyzed to determine the variation and potential source areas of carbonaceous aerosols. The results show that OC concentrations in the winter of 2018 and 2019 were 6.90 μg·m-3 and 5.63 μg·m-3, respectively, while EC concentrations were 2.47 μg·m-3 and 1.57 μg·m-3, respectively. The concentrations of OC and EC in the winter of 2019 were lower than those in the winter of 2018, by approximately 18.4% and 36.4%, respectively. In 2018 and 2019, the concentrations of secondary organic carbon (SOC), calculated using the minimum R-squared (MRS) method, were 1.49 μg·m-3 and 1.97 μg·m-3, respectively, and the concentrations of primary organic carbon (POC) were 5.41 μg·m-3 and 3.66 μg·m-3, respectively. The proportion of POC in OC showed a downward trend, from 96.0% in December 2018 to 64.9% in February 2020, indicating a decrease of 31.1 percentage points. SOC showed an upward trend, increasing by 31.1 percentage points from 4.0% in December 2018 to 35.1% in February 2020. It is worth noting that with the increase in PM2.5 concentration, the concentration of OC and EC increased by 474.7% and 408.2%, respectively, although the proportion of OC in PM2.5 decreased from 18.8% to 12.3%. and the percentage of OC decreased from 5.8% to 3.3%. The contribution of POC to PM2.5 did not fluctuate, and only decreased significantly above 150 μg·m-3, while the contribution of SOC to PM2.5 first decreased and then increased. In Jiaxing, the potential sources of OC and EC were mainly southern Jiangsu, southeastern Anhui, local Jiaxing, and northern Zhejiang. In the winter of the contribution concentrations of OC and EC in the main potential source regions were approximately 2 μg·m-3 and 6 μg·m-3 lower, respectively, than in winter 2018. The range of high values in the potential source regions also decreased in 2019. Before the COVID-19 epidemic, it was affected by both motor vehicle exhaust emissions and coal burning. During the Spring Festival and home isolation, due to traffic control and other reasons, motor vehicle emissions were reduced, which leaving coal burning as the main contributor.

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