Characterization of atmospheric black carbon and co-pollutants in urban and rural areas of Spain

被引:63
作者
Becerril-Valle, M. [1 ]
Coz, E. [1 ]
Prevot, A. S. H. [2 ]
Mocnik, G. [3 ,4 ]
Pandis, S. N. [5 ,6 ,7 ]
de la Campa, A. M. Sanchez [8 ,9 ]
Alastuey, A. [10 ]
Diaz, E. [1 ]
Perez, R. M. [11 ]
Artinano, B. [1 ]
机构
[1] CIEMAT, Dept Environm, Associated Unit CSIC, CIEMAT,Atmospher Pollut 1, ES-28040 Madrid, Spain
[2] Paul Scherrer Inst, Lab Atmospher Chem, CH-5232 Villigen, Switzerland
[3] Aerosol Doo, SI-1000 Ljubljana, Slovenia
[4] Jozef Stefan Inst, Condensed Matter Phys Dept, SI-1000 Ljubljana, Slovenia
[5] ICE HT, Inst Chem Engn Sci, GR-26504 Patras, Greece
[6] Univ Patras, Dept Chem Engn, GR-26504 Patras, Greece
[7] Carnegie Mellon Univ, Dept Chem Engn, Pittsburgh, PA 75213 USA
[8] Univ Huelva, Ctr Res Sustainable Chem CIQSO, Associated Unit CSIC Univ Huelva Atmospher Pollut, ES-21071 Huelva, Spain
[9] Univ Huelva, Fac Expt Sci, Dept Geol, ES-27071 Huelva, Spain
[10] Inst Environm Assessment & Water Res IDAEA CSIC, ES-08034 Barcelona, Spain
[11] CIEMAT, Dept Technol, ES-28040 Madrid, Spain
关键词
Carbonaceous aerosols; Black carbon; Absorption Angstrom exponent; Source apportionment; Fossil fuel; Biomass burning; AEROSOL SOURCE APPORTIONMENT; MADRID METROPOLITAN-AREA; FINE-PARTICLE EMISSIONS; SPECIATION MONITOR ACSM; PARTICULATE MATTER; LIGHT-ABSORPTION; CHEMICAL-COMPOSITION; ELEMENTAL CARBON; ORGANIC-CARBON; WOOD SMOKE;
D O I
10.1016/j.atmosenv.2017.09.014
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A one-year black carbon (BC) experimental study was performed at three different locations (urban traffic, urban background, rural) in Spain with different equivalent BC (eBC) source characteristics by means of multi-wavelength Aethalometers. The Aethalometer model was used for the source apportionment study, based on the difference in absorption spectral dependence of emissions from biomass burning (bb) and fossil fuel (ff) combustion. Most studies use a single bb and ff absorption Angstrom exponent (ME) pair (AAE(bb) and AAE(ff)), however in this work we use a range of AAE values associated with fossil fuel and biomass burning based on the available measurements, which represents more properly all conditions. A sensitivity analysis of the source specific AAE was carried out to determine the most appropriate AAE values, being site dependent and seasonally variable. Here we present a methodology for the determination of the ranges of AAEbb and AAEff by evaluating the correlations between the source apportionment of eBC using the Aethalometer model with four biomass burning tracers measured at the rural site. The best combination was AAE(bb) = [1.63-1.74] and AAE(ff) = [0.97-1.12]. Mean eBC values (+/- SD) obtained during the period of study were 3.70 +/- 3.73 mu g m(-3) at the traffic urban site, 233 +/- 2.96 mu g m(-3) at the urban background location, and 2.61 +/- 5.04 mu g m(-3) in the rural area. High contributions of eBC to the PM10 mass were found (values up to 21% in winter), but with high eBC/PM10 variability. The hourly mean eBC(ff) and eBC(bb) concentrations varied from 0 to 51 pig m(-3) and from 0 to 50 mu g m(-3) at the three sites, respectively, exhibiting distinct seasonal and daily patterns. The fossil fuel combustion was the dominant eBC source at the urban sites, while biomass burning dominated during the cold season (88% of eBC(bb)) in the rural area. Daily PM2.5 and PM10 samples were collected using high volume air samplers and analyzed for OC and EC. Analysis of biomass burning tracers and organic (OC) and elemental (EC) carbon in the rural area indicate that biomass combustion is the main source, while OC and EC indicate a lower influence of this source at the urban site. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:36 / 53
页数:18
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