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鄂尔多斯市夏秋季黑碳气溶胶时间演变特征及其来源解析
摘要点击 1970  全文点击 612  投稿时间:2021-10-11  修订日期:2021-11-16
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中文关键词  鄂尔多斯  黑碳(BC)  气溶胶  潜在来源  日变化
英文关键词  Ordos  black carbon (BC)  aerosol  potential source appointment  diurnal variation
作者单位E-mail
孔祥晨 鄂尔多斯市气象局, 鄂尔多斯 017010
成都信息工程大学大气科学学院, 成都 610000
南京信息工程大学中国气象局气溶胶-云-降水重点开放实验室, 南京 210044 
15147736650m@sina.cn 
张连霞 鄂尔多斯市气象局, 鄂尔多斯 017010  
张彩云 鄂尔多斯市气象局, 鄂尔多斯 017010  
王红磊 南京信息工程大学中国气象局气溶胶-云-降水重点开放实验室, 南京 210044 hongleiwang@nuist.edu.cn 
许晶 鄂尔多斯市气象局, 鄂尔多斯 017010  
郑佳锋 成都信息工程大学大气科学学院, 成都 610000  
中文摘要
      使用AE-33于2019年8月12日至10月4日观测了黑碳(BC)浓度,结合PM、污染气体和气象要素数据、HYSPLIT模式、PSCF和CWT模式,分析了BC的时间演变特征、潜在来源及其主要影响区域.结果表明,ρ(BC)平均值为882 ng ·m-3,占PM2.5的质量分数为6.08%.ρ(BC)主要集中在200~1000 ng ·m-3,占总样本数的55.9%.在不同BC浓度范围内,均是以BC液态为主,平均占比为86%.BC和PM2.5浓度的日变化均为单峰型分布,峰值分别位于08:00和10:00,峰值浓度分别增加了24.3%和47.2%.BC固态的日变化为双峰型分布,峰值分别位于08:00和20:00,BC液态的日变化为单峰型分布,峰值位于08:00.BC与NO2的相关性较好,与SO2的相关性较弱,说明BC受交通源的影响较大,受工业源的影响较小.影响鄂尔多斯市的主导气团可分为4类,南部气团(35.6%)、局地气团(26.9%),西北气团(18.8%)和东北气团(18.7%).鄂尔多斯市对下游地区的影响主要分为东北气团(40.9%)、西北气团(30.4%)和东南气团(28.7%).BC的CWT高值区主要位于南部的延安-铜川-宝鸡-汉中一带和吕梁-临汾-三门峡-南阳一带,为两条狭长的传输带,权重浓度超过1400 ng ·m-3.BC的CWT高值影响区主要集中在乌海-巴彦淖尔-包头-呼和浩特一带,权重浓度超过900ng ·m-3.BC的远距离输送影响范围可至南部的榆林-延安-铜川-宝鸡一带,东部的朔州-大同-北京一带和东北部的锡林郭勒盟-兴安盟-呼伦贝尔一带.
英文摘要
      In this study, black carbon (BC) aerosols were continuously observed using a seven-channel aethalometer (AE-33) in Ordos from August 12 to October 4, 2019; using this data combined with article matter (PM), pollutant gas, and meteorological element data; a HYSPLIT model; and potential source contribution function (PSCF) and concentration-weighted trajectory (CWT) models, we analyzed the temporal evolution and potential source appointment and main influence areas of BC. The results showed that the average of ρ(BC) was 882 ng·m-3, accounting for 6.08% of PM2.5. The ρ(BC) was mainly concentrated at 200-1000 ng·m-3, accounting for 55.9% of the total samples. In different BC mass concentration ranges, BCliquid was the mainstay, with an average proportion of 86%. The diurnal variations in BC and PM2.5 showed unimodal distributions, with peaks at 08:00 and 10:00, respectively, and peak concentrations increased by 24.3% and 47.2%, respectively. The diurnal variation in BCsolid showed a bimodal distribution, with peaks at 08:00 and 20:00, respectively. The diurnal variation in the BCliquid showed a unimodal distribution with a peak at 08:00. The strong correlation between BC and NO2 indicated a greater impact of vehicle emissions on BC concentration, whereas the weak correlation between BC and SO2 indicated a lower impact of industrial emissions on BC concentration. The dominant air masses affecting the Ordos could be divided into four categories. The southern air masses (35.6%) had the highest mass concentration of atmospheric pollutants, followed by the local air masses (26.9%) and the northwest air masses (18.8%), and the northeast air masses (18.7%) had the lowest mass concentration of pollutants. The influence of the Ordos on the downstream areas was mainly divided into the northeast air masses (40.9%), the northwest air masses (30.4%), and the southeast air masses (28.7%). High CWT value areas of BC were mainly located in the southern Yan'an-Tongchuan-Baoji-Hanzhong areas and Lvliang-Linfen-Sanmenxia-Nanyang areas. They were two long and narrow transmission belts with a weight mass concentration exceeding 1400 ng·m-3. High CWT value areas of BC had the greatest impact on the Wuhai-Bayannaoer-Baotou-Hohhot regions, with a weight concentration exceeding 900 ng·m-3. The long-range transportation of BC could reach the Yulin-Yan'an-Tongchuan-Baoji areas in the south, the Shuozhou-Datong-Beijing areas in the east, and the Xilin Gol League-Xing'an League-Hulunbuir areas in the northeast.

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