引用本文:陈程,花艳,王瑜,杨伟波.连云港黑碳气溶胶污染特征研究[J].环境监控与预警,2018,10(2):45-48
CHEN Cheng,HUA Yan,WANG Yu,YANG Wei-bo.The Research on Pollution Characteristics of Black Carbon Aerosol in Lianyungang[J].Environmental Monitoring and Forewarning,2018,10(2):45-48
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连云港黑碳气溶胶污染特征研究
陈程,花艳,王瑜,杨伟波1,2
1. 连云港市环境监测中心站,江苏 连云港 222001;2. 南京科略环境科技有限责任公司,江苏 南京 211800
摘要:
采用2016年大气多参数站监测数据,分析连云港市大气中ρ(黑碳气溶胶)的小时及月度变化规律,结果表明,观测期间,黑碳气溶胶与NO2、CO、PM10、PM2.5显著相关,与风速、能见度等呈负相关;黑碳气溶胶年均值为2.10 μg/m3,日变化呈明显双峰型,峰值出现在08:00和21:00左右;从季节看,ρ(黑碳气溶胶)冬春季高、夏秋季低;在不利气象条件时,ρ(黑碳气溶胶)有所增高,通过模型分析化石燃料燃烧产生的黑碳占比增大,说明在不利气象条件时,化石燃料燃烧产生的黑碳是影响ρ(黑碳气溶胶)及ρ(颗粒物)上升的主要因素。
关键词:  黑碳气溶胶  化石燃料燃烧产生的黑碳  生物质燃烧产生的黑碳  污染特征  相关性  连云港
DOI:
分类号:X513
文献标识码:B
基金项目:
The Research on Pollution Characteristics of Black Carbon Aerosol in Lianyungang
CHEN Cheng,HUA Yan,WANG Yu,YANG Wei-bo1,2
1. Lianyungang Environmental Monitoring Central Station,Lianyungang,Jiangsu 222001,China;2.Nanjing Intelligent Environmental SciTech Co.,Ltd.,Nanjing,Jiangsu 211800,China
Abstract:
Based on the monitoring results of atmospheric multiparameter stations in 2016, the daily variation and monthly variation of black carbon aerosol concentration in Lianyungang were analyzed, and the reasons for the change were discussed. During the observation period, black carbon concentration was significantly correlated with NO2、CO、PM10、PM2.5, and negatively correlated with wind speed and visibility.The annual mean value of black carbon was 2.10 μg/m3. The daily variation of black carbon has obvious double peak structure, and the peak value appears at 08:00 and 21:00. From the season, the concentration of black carbon was high in spring and winter and low in summer and autumn. In adverse weather conditions, the concentration of black carbon aerosol increased. By model analysis, the proportion of BCff increased, indicating that the black carbon produced by the combustion of fossil fuels was the main factor affecting the concentration of black carbon and particulate matter in adverse weather conditions.
Key words:  Black carbon aerosol  BCff  BCbb  Pollution characteristics  Correlation  Lianyungang