基于受体模型和源成分谱的缺失组分反演算法

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (614 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Source markers are very important for apportioning the particulate matter sources. However, some markers like aluminum and silicium could not be measured by online instruments,which might increase the uncertainty of source apportionment results. To figure out this problem, this work proposed a new inverse method to estimate Al and Si concentrations base on PMF (Positive Matrix Factorization) and measured source profiles. Several simulation experiments was designed to estimate the performance of the new method. Three input data, including data without Al and Si, data with reversed Al and Si, data with Al and Si, were setup and run separately by PMF, the calculated source profiles and contributions were compared with the corresponding true values. The results show that running model without Al and Si data increases uncertainties of results, and the new method can improve the model performance, for some cases.

Key words： inverse Al Si source apportionment source profiles PMF

Received: 30 July 2018

PACS:

X51

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	PENG Xing
	SHI Xu-rong
	SHI Guo-liang
	TIAN Ying-ze
	DONG Shi-hao
	FENG Yin-chang

Cite this article:

PENG Xing,SHI Xu-rong,SHI Guo-liang等. Reverse modeling of source markers based on receptor model and source profiles[J]. CHINA ENVIRONMENTAL SCIENCECE, 2019, 39(3): 939-947.

URL:

http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2019/V39/I3/939

[1]	陈刚,周潇雨,吴建会,等.成都市冬季PM2.5中多环芳烃的源解析与毒性源解析[J]. 中国环境科学, 2015,35(10):3150-3156. Chen G, Zhou X Y, Wu J H, et al. Source apportionment and toxicity quantitation of PM2.5-associated polycyclic aromatic hydrocarbons obtained from Chengdu, China[J]. China Environmental Science, 2015,35(10):3150-3156.
[2]	韩力慧,张鹏,张海亮,等.北京市大气细颗粒物污染与来源解析研究[J]. 中国环境科学, 2015,36(11):3203-3210. Han L H, Zhang P, Zhang H L, etal.Pollution and source apportionment of atmospheric fine particles in Beijing[J]. China Environmental Science, 2015,36(11):3203-3210.
[3]	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. Zhang Y J, Zheng M, Cai J, et al. Comparison and overview of PM2.5source apportionment methods (in Chinese). China Science Bulletin, 2015,2:109-121.
[4]	朱坦,吴琳,毕晓辉,等.大气颗粒物源解析受体模型优化技术研究[J]. 中国环境科学, 2010,30(7):865-870. Zhu T, Wu L, Bi X H, et al. Improving receptor models for ambient air particulate matter source apportionment[J]. China Environmental Science, 2010,30(7):865-870.
[5]	Du H H, Kong L D, Cheng T T, et al. Insights into summertime haze pollution events over Shanghai based on online water-soluble ionic composition of aerosols[J]. Atmospheric Environment, 2011,45:5131-5137.
[6]	Vodi?ka P, Schwarz J, Cusack M, et al. Detailed comparison of OC/EC aerosol at an urban a rural Czech background site during summer winter[J]. Science of the Total Environment, 2015,518:424-433.
[7]	Zhang Y M, Zhang X Y, Sun J Y, et al. Chemical composition mass size distribution of PM1at an elevated site in central east China[J]. Atmospheric Chemistry and Physics, 2014,14:12237-12249.
[8]	李令军,王占山,张大伟,等.2013~2014年北京大气重污染特征研究[J]. 中国环境科学, 2016,36(1):27-35. Li L, Wang Z, Zhang D, et al. Analysis of heavy air pollution episodes in Beijing during 2013~2014[J]. China Environmental Science, 2016,36(1):27-35.
[9]	徐虹,肖致美,孔君,等.天津市冬季典型大气重污染过程特征[J]. 中国环境科学, 2017,37(4):1239-1246. Xu H, Xiao Zh, Kong J, et al. Characteristic of atmospheric heavy pollution episodes in Winter of Tianjin[J]. China Environmental Science, 2017,37(4):1239-1246.
[10]	Gao J, Peng X, Chen G, et al. Insights into the chemical characterization and sources of PM2.5 in Beijing at a 1-h time resolution[J]. Science of the Total Environment, 2015,542:162-171.
[11]	Peng X, Shi G L, Gao J, et al. Characteristics and sensitivity analysis of multiple-time-resolved source patterns of PM2.5 with real time data using Multilinear Engine 2[J]. Atmospheric Environment. 2016,139:113-121.
[12]	Wang M, Shao M, Chen W, et al. A temporally spatially resolved validation of emission inventories by measurements of ambient volatile organic compounds in Beijing[J]. China. Atmospheric Chemistry and Physics, 2014,14:5871-5891.
[13]	Hemann J G, Brinkman G L, Dutton S J, et al. Assessing positive matrix factorization model fit:a new method to estimate uncertainty and bias in factor contributions at the measurement time scale[J]. Atmospheric Chemistry and Physics, 2009,9(2):497-513.
[14]	Zhou J B, Xiong Y, Xing Z Y, et al. Characterizing and sourcing ambient PM2.5, over key emission regions in China Ⅱ:Organic molecular markers and CMB modeling[J]. Atmospheric Environment 2017,163:57-64.
[15]	Kim E, Hopke P K. Improving source identification of fine particles in a rural northeastern US area utilizing temperature-resolved carbon fractions[J]. Journal of Geophysical Research-Atmospheres, 2004, 109(D09204).
[16]	Liu W, Wang Y H, Russell A, et al. Enhanced source identification of southeast aerosols using temperature-resolved carbon fractions and gas phase components[J]. Atmospheric Environment, 2006,40(2):S445-S466.
[17]	Puig R, Àvila A, Soler A. Sulphur isotopes as tracers of the influence of a coal-fired power plant on a Scots pine forest in Catalonia (NE Spain)[J]. Atmospheric Environment, 2008,42(4):733-745.
[18]	Shi G L, Li X, Feng Y C, et al. Combined source apportionment, using positive matrix factorization-chemical mass balance and principal component analysis/multiple linear regression-chemical mass balance models[J]. Atmospheric Environment, 2009,43(18):2929-2937.
[19]	Peré-Trepat E, Kim E, Paatero P, et al. Source apportionment of time and size resolved ambient particulate matter measured with a rotating DRUM impactor[J]. Atmospheric Environment, 2007,41(28):5921-5933.
[20]	陈刚,刘佳媛,皇甫延琦,等.合肥城区PM10及PM2.5季节污染特征及来源解析[J]. 中国环境科学, 2016,36(7):1938-1946. Chen G, Liu J Y, Huangfu Y, et al. Seasonal variations and source apportionment of ambient PM10 and PM2.5 at urban area of Hefei, China[J]. China Environmental Science, 2016,36(7):1938-1946.
[21]	王琴,张大伟,刘保献,等.基于PMF模型的北京市PM2.5来源的时空分布特征[J]. 中国环境科学, 2015,35(10):2917-2924. Wang Q, Zhang D W, Liu B X, et al. Spatial and temporal variations of ambient PM2.5 source contributions using positive matrix factorization[J]. China Environmental Science, 2015,35(10):2917-2924.
[22]	王苏蓉,喻义勇,王勤耕,等.基于PMF模式的南京市大气细颗粒物源解析[J]. 中国环境科学, 2015,35(12):3535-3542. Wang S Y, Yu Y Y, Wang Q G, et al. Source apportionment of PM2.5 in Nanjing by PMF[J]. China Environmental Science, 2015,35(12):3535-3542.
[23]	张彩艳,吴建会,张普,等.成都市冬季大气颗粒物组成特征及来源变化趋势[J]. 环境科学研究, 2014,27(7):782-789. Zhang C Y, Wu J H, Zhang P, et al. Particulate composition and source apportionment trends in winter in Chengdu[J]. Research of Environmental Sciences, 2014,27(7):782-789.
[24]	Shi G L, Zeng F, Li X, et al. Estimated contributions and uncertainties of PCA/MLR-CMBresults:Source apportionment for synthetic and ambient datasets[J]. Atmospheric Environment, 2011,45(17):2811-2819.
[25]	Paatero P, Tapper U. Positive matrix factorisation:a non-negative factor model with optimal utilisation of error estimates of data values[J]. Environmetrics, 1994,5:111-126.
[26]	Amato F, Polfi M, Escrig A, et al. Quantifying road dust resuspension in urban environment by Multilinear Engine:a comparison with PMF2[J]. Atmospheric Environment, 2009,43:2770-2780.
[27]	Amato F, Hopke P K. Source apportionment of the ambient PM2.5 across St. Louis using constrained positive matrix factorization[J]. Atmospheric Environment, 2012,46:329-37.
[28]	Nguyen Q T, Skov H, Sorensen L L, et al. Source apportionment of particles at Station Nord, North East Greenland during 2008~2010 using COPREM and PMF analysis[J]. Atmospheric Chemistry and Physics, 2013,13:35-49.
[29]	Pant P, Harrison R M. Estimation of the contribution of road traffic emissions to particulate matter concentrations from field measurements:A review[J]. Atmospheric Environment, 2013,77:78-97.
[30]	Wongphatarakul V, Friedlander S K, Pinto J P. A comparative study of PM2.5 ambient aerosol chemical databases[J]. Environmental Science & Technology, 1998,32:3926-3934.
[31]	Javitz H S, Watson J G, Robinson N. Performance of the chemical mass balance model with simulated local-scale aerosols[J]. Atmospheric Environment, 1988,22:2309-2322.