Size-resolved source apportionment of airborne particle mass in a roadside environment

被引:37
|
作者
Riddle, Sarah G. [2 ]
Robert, Michael A. [1 ]
Jakober, Chris A. [3 ]
Hannigan, Michael P. [4 ]
Kleeman, Michael J. [1 ]
机构
[1] Univ Calif Davis, Dept Civil & Environm Engn, Davis, CA 95616 USA
[2] Univ Calif Davis, Dept Chem, Davis, CA 95616 USA
[3] Univ Calif Davis, Agr & Environm Chem Grad Grp, Davis, CA 95616 USA
[4] Univ Colorado, Dept Mech Engn, Boulder, CO 80309 USA
基金
美国国家环境保护局; 美国国家科学基金会;
关键词
D O I
10.1021/es702827h
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Airborne particulate hopanes, steranes, and polycyclic aromatic hydrocarbons (PAHs) were measured in six size fractions <1.8 mu m particle diameter at one site upwind and two sites downwind of the Interstate 5 freeway in San Diego, CA. The smallest size fraction collected was exclusively in the ultrafine size range (D-p < 0.1 mu m; PM0.1). Size distributions of hopanes, steranes, and PAHs peaked between 0.10-0.18 mu m particle aerodynamic diameter with a tail extending into the PM0.1 size range. This pattern is similar to previous dynamometer studies of hopane, sterane, and PAH size distributions emitted from gasoline- and diesel-powered vehicles. Size-resolved source profiles were combined to form an "on-road" profile for motor oil, diesel, and gasoline contributions to EC and OC. The resulting equations were used to predict source contributions to the size distributions of EC and OC in the roadside environment. The method successfully accounted for the majority of the carbonaceous material in particles with diameter <0.18 mu m, with significant residual material in larger size fractions. The peak in both the measured and predicted EC size distribution occurred between 0.1-0.18 mu m particle aerodynamic diameter. The predicted OC size distribution peaked between 0.1-0.18 mu m particle diameter, but the measured OC size distribution peaked between 0.56-1.0 mu m particle diameter, possibly because of secondary organic aerosol formation. Predicted OC concentrations in particles with diameter <0.1 8 mu m were greater than measured values 18 in downwind of the roadway but showed good agreement 37 m downwind. The largest source contributions to the PM0.1 and PM0.18 size fractions were different. PM0.18 was dominated by diesel fuel and motor oil combustion products while PM0.1 was dominated by diesel fuel and gasoline fuel combustion products. Total source contributions to ultrafine (PM0.1) EC concentrations 37 m downwind of the roadway were 44 +/- 6% diesel fuel, 21 +/- 1% gasoline, 5 +/- 6% motor oil, and 30% unknown. Total source contributions to ultrafine (PM0.1) OC concentrations 37 m downwind of the roadway were 46 +/- 5% diesel fuel, 44 5% gasoline, 20 +/- 15% motor oil with a slight overprediction (11%). Diesel fuel appears to make the single largest contribution to ultrafine (PM0.1) particle mass given the fleet distribution during the current experiment.
引用
收藏
页码:6580 / 6586
页数:7
相关论文
共 50 条
  • [31] Size-resolved Compositional Analysis and Source Apportionment of Submicron Aerosol during Lockdown Period Using HR-ToF-AMS
    Acharja, Prodip
    Vispute, Akash
    Lonkar, Prasanna
    Gosavi, Suresh W.
    Debnath, Sreyashi
    Dhangar, Narendra G.
    Ali, Kaushar
    Govardhan, Gaurav
    Ghude, Sachin D.
    [J]. AEROSOL AND AIR QUALITY RESEARCH, 2022, 22 (12)
  • [32] Comparison of size-resolved PM elements measured using aluminum foil and Teflon impaction substrates: Implications for ultrafine particle source apportionment and future sampling networks in California
    Xue, Wei
    Kleeman, Michael J.
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 838
  • [33] Size-resolved Source Apportionment of Ambient Particles by Positive Matrix Factorization at Gosan, Jeju Island during ACE-Asia
    Moon, K. J.
    Han, J. S.
    Kong, B. J.
    Jung, I. R.
    Cliff, Steven S.
    Cahill, Thomas A.
    Perry, Kelvin D.
    [J]. JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT, 2006, 22 (05) : 590 - 603
  • [34] An advanced three-way factor analysis model (SDABB model) for size-resolved PM source apportionment constrained by size distribution of chemical species in source profiles
    Liu, Tong
    Tian, Yingze
    Xue, Qianqian
    Wei, Zhen
    Qian, Yong
    Feng, Yinchang
    [J]. ENVIRONMENTAL POLLUTION, 2018, 242 : 1606 - 1615
  • [35] Statistical considerations in the interpretation of size-resolved particulate mass data
    White, WH
    [J]. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 1998, 48 (05): : 454 - 458
  • [36] Correlation analysis of size-resolved airborne particulate matter with classified meteorological conditions
    Minh-Viet Nguyen
    Gee-Hyeong Park
    Byeong-Kyu Lee
    [J]. Meteorology and Atmospheric Physics, 2017, 129 : 35 - 46
  • [37] Correlation analysis of size-resolved airborne particulate matter with classified meteorological conditions
    Minh-Viet Nguyen
    Park, Gee-Hyeong
    Lee, Byeong-Kyu
    [J]. METEOROLOGY AND ATMOSPHERIC PHYSICS, 2017, 129 (01) : 35 - 46
  • [38] Association of size-resolved airborne particles with foot traffic inside a carpeted hallway
    Cheng, Kai-Chung
    Goebes, Marian D.
    Hildemann, Lynn M.
    [J]. ATMOSPHERIC ENVIRONMENT, 2010, 44 (16) : 2062 - 2066
  • [39] Source apportionment of time and size resolved ambient particulate matter
    Li, Na
    Hopke, Philip K.
    Kumar, Pramod
    Cliff, Steven S.
    Zhao, Yongjing
    Navasca, Carmeliza
    [J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2013, 129 : 15 - 20
  • [40] Size-resolved ultrafine particle composition analysis, 1. Atlanta
    Rhoads, KP
    Phares, DJ
    Wexler, AS
    Johnston, MV
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2003, 108 (D7)