基于OP-FTIR在线监测的气态污染物源解析技术
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摘要
为分析华北地区某化工装置A与企业B对某受体区域污染程度的影响,选用化学质量平衡模型(CMB)定量解析污染来源。首先,利用开路式傅里叶变换红外光谱(OP-FTIR)设备在线监测A与B的污染物排放数据,结合相关性分析建立了二者的成分谱库;在此基础上,根据受体区域污染物在线监测数据,利用CMB完成了污染物来源的定量解析。研究结果表明:受体位置的烷烃及苯系物主要来自A,氨气近乎完全来自B,该解析结果与现场实际及工艺资料相吻合。
Source apportionment technology of gas pollution is an important part of air pollution prevention and control. In order to quantitatively analyze the influence of unit A and factory B on the pollution degree of a receptor in North China,chemical mass balance( CMB) was chosen. Firstly,the pollutant emission data of unit A and factory B were monitored online by openpath Fourier transform infrared spectroscopy( OP-FTIR) equipment,and source profile of A and B were established based on the correlation analysis. And then according to the on-line monitoring data of pollutants in the receptor area,the quantitative analysis of the sources of pollutants was completed by CMB. The results showed that the alkanes and benzene were mainly from the unit A and ammonia was almost completely from the factory B,which was consistent with the actual situation of field and process information.
Source apportionment technology of gas pollution is an important part of air pollution prevention and control. In order to quantitatively analyze the influence of unit A and factory B on the pollution degree of a receptor in North China,chemical mass balance( CMB) was chosen. Firstly,the pollutant emission data of unit A and factory B were monitored online by openpath Fourier transform infrared spectroscopy( OP-FTIR) equipment,and source profile of A and B were established based on the correlation analysis. And then according to the on-line monitoring data of pollutants in the receptor area,the quantitative analysis of the sources of pollutants was completed by CMB. The results showed that the alkanes and benzene were mainly from the unit A and ammonia was almost completely from the factory B,which was consistent with the actual situation of field and process information.
引文
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[2]申景波,于井会,王炳章,等.燃煤机组供热改造对大气环境影响研究[J].煤炭工程,2017,49(增刊1):90-91,95.
[3]马武生,金根娣,薛梅,等.某地区集中式饮用水源地土壤重金属污染状况、评价与源解析[J].环境工程,2016,34(12):141-146,136.
[4]尹国庆,江宏,王强,等.安徽省典型区农用地土壤重金属污染成因及特征分析[J].农业环境科学学报,2018,37(1):96-104.
[5]张保生,张婉婷.包头市环境空气中PM2.5源解析研究[J].环境工程,2014,32(4):71-74.
[6]刘丹,解强,张鑫,等.北京冬季雾霾频发期VOCs源解析及健康风险评价[J].环境科学,2016,37(10):3693-3701.
[7]Singh N,Murari V,Kumar M,et al.Fine particulates over South Asia:review and meta-analysis of PM2.5source apportionment through receptor model[J].Environmental Pollution,2017,223:121-136.
[8]张桂芹,姜德超,李曼,等.城市大气挥发性有机物排放源及来源解析[J].环境科学与技术,2014,37(增刊2):195-200.
[9]Pant P,Harrison R M.Critical review of receptor modelling for particulate matter:a case study of India[J].Atmospheric Environment,2012,49(3):1-12.
[10]张延君,郑玫,蔡靖,等.PM2.5源解析方法的比较与评述[J].科学通报,2015(2):109-121.
[11]孙海峰,张勇,解静芳.正定矩阵因子分解模型在环境中多环芳烃源解析方面的应用[J].生态毒理学报,2015,10(4):25-33.
[12]高蒙,安俊琳,杭一纤,等.PMF和PCA/APCS模型对南京北郊大气VOCs源解析对比研究[J].气象与环境学报,2014(1):43-50.
[13]杨佳美,戴启立,刘保双,等.关中地区背景点位环境空气PM2.5来源解析与多模型结果对比[J].环境科学研究,2017,30(2):184-192.
[14]方冬青,魏永杰,黄伟,等.北京市2014年10月重霾污染特征及有机碳来源解析[J].环境科学研究,2016,29(1):12-19.
[15]陈飞,于洪霞,胡君,等.应用化学质量平衡模型解析邢台市大气PM2.5来源[J].生态与农村环境学报,2017,33(12):1075-1083.
[16]王在峰,张水燕,张怀成,等.水质模型与CMB相耦合的河流污染源源解析技术[J].环境工程,2015,33(2):135-139.
[17]陈海洋,滕彦国,王金生,等.基于NMF与CMB耦合应用的水体污染源解析方法[J].环境科学学报,2011,31(2):316-321.
[18]Selimovic V,Yokelson R J,Warneke C,et al.Aerosol optical properties and trace gas emissions by PAX and OP-FTIR for laboratory-simulated western US wildfires during FIREX[J].Atmospheric Chemistry and Physics,2017:1-34.
[19]朱亮,贾润中,高少华,等.基于OP-FTIR技术的炼油装置VOCs排放量监测[J].安全、健康和环境,2017,17(5):24-28.