A comparison of the UCD/CIT air quality model and the CMB source-receptor model for primary airborne particulate matter

被引:49
作者
Held, T
Ying, Q
Kleeman, MJ
Schauer, JJ
Fraser, MP
机构
[1] Univ Calif Davis, Dept Civil & Environm Engn, Davis, CA 95616 USA
[2] Univ Wisconsin, Dept Civil & Environm Engn, Madison, WI 53706 USA
[3] Rice Univ, Dept Civil & Environm Engn, Houston, TX 77005 USA
关键词
airborne particles; source apportionment; source-oriented external mixture model; CMB;
D O I
10.1016/j.atmosenv.2004.12.034
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Source contributions to primary airborne particulate matter calculated using the source-oriented UCD/ClT air quality model and the receptor- oriented chemical mass balance (CMB) model are compared for two air quality episodes in different parts of California. The first episode occurred in the San Joaquin Valley on 4-6 January 1996, with peak 24 h average PM2.5 concentrations exceeding 100 mu g m(-3). This episode was characterized by low photochemical activity and high particulate nitrate concentrations, with localized regions of high particulate carbon concentrations around urban centers. The second episode occurred in the South Coast Air Basin on 7-9 September 1993, with peak 4 It average PM2.5 concentrations reaching 86 mu g m(-3). This episode was characterized by high photochemical activity and high secondary organic aerosol concentrations. The results from the two independent source apportionment calculations show strong agreement for source contributions to primary PN12.5 total organic mass at 7 receptor sites across the two studies, with a correlation slope of 0.84 and a correlation coefficient (R) of 0.70. Agreement for source contributions to primary PN12.5 total mass was similarly strong, with a correlation slope of 0.83 and a correlation coefficient (R-2) of 0.55. Wood smoke was identified as the dominant source of primary PM2.5 at urban locations in the SJV by both source apportionment techniques. Transportation sources including paved road dust, gasoline engines, and diesel engines, were identified as the dominant source of primary PM2.5 at all locations in the SoCAB by both models. The amount of secondary particulate matter (organic and inorganic) was in good agreement with the measured values minus the primary material identified by the CMB calculation. The UCD/CIT air quality model is able to predict source contributions to airborne particulate matter at all locations and times throughout the study domain. The regional plots of source contributions to primary PM2.5 mass concentrations generated by the UCD/ClT air quality model suggest that high concentrations (25 mu g m(-3)) of primary PM2.5 mass released from the combustion of fuel with high sulfur content exist in areas adjacent to the Los Angeles International Airport and the port of Los Angeles. Emissions profiles for these sources should be developed so that they can be included in future CMB calculations. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2281 / 2297
页数:17
相关论文
共 48 条
[1]   A preliminary apportionment of the sources of ambient PM10, PM2.5, and VOCs in Cairo [J].
Abu-Allaban, M ;
Gertler, AW ;
Lowenthal, DH .
ATMOSPHERIC ENVIRONMENT, 2002, 36 (35) :5549-5557
[2]   Evaluating the first-order effect of intraannual temperature variability on urban air pollution [J].
Aw, J ;
Kleeman, MJ .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2003, 108 (D12)
[3]   Hourly and daily patterns of particle-phase organic and elemental carbon concentrations in the urban atmosphere [J].
Bae, MS ;
Schauer, JJ ;
DeMinter, JT ;
Turner, JR .
JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2004, 54 (07) :823-833
[4]   Spatial representativeness and scales of transport during the 1995 Integrated Monitoring Study in California's San Joaquin Valley [J].
Blanchard, CL ;
Carr, EL ;
Collins, JF ;
Smith, TB ;
Lehrman, DE ;
Michaels, HM .
ATMOSPHERIC ENVIRONMENT, 1999, 33 (29) :4775-4786
[5]   Daily sampling of PM2.5 in Atlanta:: results of the first year of the assessment of spatial aerosol composition in Atlanta study -: art. no. 8415 [J].
Butler, AJ ;
Andrew, MS ;
Russell, AG .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2003, 108 (D1)
[6]   A DETAILED MECHANISM FOR THE GAS-PHASE ATMOSPHERIC REACTIONS OF ORGANIC-COMPOUNDS [J].
CARTER, WPL .
ATMOSPHERIC ENVIRONMENT PART A-GENERAL TOPICS, 1990, 24 (03) :481-518
[7]   Determination of source contributions to ambient PM2.5 in Kaohsiung, Taiwan, using a receptor model [J].
Chen, KS ;
Lin, CF ;
Chou, YM .
JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2001, 51 (04) :489-498
[8]   PM10 SOURCE APPORTIONMENT IN CALIFORNIA SAN-JOAQUIN VALLEY [J].
CHOW, JC ;
WATSON, JG ;
LOWENTHAL, DH ;
SOLOMON, PA ;
MAGLIANO, KL ;
ZIMAN, SD ;
RICHARDS, LW .
ATMOSPHERIC ENVIRONMENT PART A-GENERAL TOPICS, 1992, 26 (18) :3335-3354
[9]  
COOPER JA, 1989, FINAL APPENDIX V G P
[10]   Air quality model evaluation data for organics .1. Bulk chemical composition and gas/particle distribution factors [J].
Fraser, MP ;
Grosjean, D ;
Grosjean, E ;
Rasmussen, RA ;
Cass, GR .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 1996, 30 (05) :1731-1743