Chemical composition and source apportionment of size fractionated particulate matter in Cleveland, Ohio, USA

被引:14
|
作者
Kim, Yong Ho [1 ,4 ]
Krantz, Q. Todd [1 ]
McGee, John [1 ]
Kovalcik, Kasey D. [2 ]
Duvall, Rachelle M. [2 ]
Willis, Robert D. [2 ]
Kamal, Ali S. [2 ]
Landis, Matthew S. [2 ]
Norris, Gary A. [3 ]
Gilmour, M. Ian [1 ]
机构
[1] US EPA, Environm Publ Hlth Div, Natl Hlth & Environm Effects Res Lab, Res Triangle Pk, NC 27711 USA
[2] US EPA, Exposure Methods & Measurement Div, Natl Exposure Res Lab, Res Triangle Pk, NC 27711 USA
[3] US EPA, Syst Exposure Div, Natl Exposure Res Lab, Res Triangle Pk, NC 27711 USA
[4] CNR, Washington, DC 20001 USA
关键词
Cleveland airshed; Particulate matter; Positive matrix factorization; Source apportionment; POSITIVE MATRIX FACTORIZATION; AIR-POLLUTION; DAILY MORTALITY; ESTIMATING UNCERTAINTY; RURAL SITES; TIME-SERIES; HEALTH; URBAN; UTAH; PARTICLES;
D O I
10.1016/j.envpol.2016.08.073
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Cleveland airshed comprises a complex mixture of industrial source emissions that contribute to periods of non-attainment for fine particulate matter (PM2.5) and are associated with increased adverse health outcomes in the exposed population. Specific PM sources responsible for health effects however are not fully understood. Size-fractionated PM (coarse, fine, and ultrafine) samples were collected using a ChemVol sampler at an urban site (G.T. Craig (GTC)) and rural site (Chippewa Lake (CLM)) from July 2009 to June 2010, and then chemically analyzed. The resulting speciated PM data were apportioned by EPA positive matrix factorization to identify emission sources for each size fraction and location. For comparisons with the ChemVol results, PM samples were also collected with sequential dichotomous and passive samplers, and evaluated for source contributions to each sampling site. The ChemVol results showed that annual average concentrations of PM, elemental carbon, and inorganic elements in the coarse fraction at GTC were 2, 7, and 3 times higher than those at CLM, respectively, while the smaller size fractions at both sites showed similar annual average concentrations. Seasonal variations of secondary aerosols (e.g., high NO3- level in winter and high SO42- level in summer) were observed at both sites. Source apportionment results demonstrated that the PM samples at GTC and CLM were enriched with local industrial sources (e.g., steel plant and coal-fired power plant) but their contributions were influenced by meteorological conditions and the emission source's operation conditions. Taken together the year-long PM collection and data analysis provides valuable insights into the characteristics and sources of PM impacting the Cleveland airshed in both the urban center and the rural upwind background locations. These data will be used to classify the PM samples for toxicology studies to determine which PM sources, species, and size fractions are of greatest health concern. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1180 / 1190
页数:11
相关论文
共 50 条
  • [31] Composition and source apportionment of fine particulate matter during extended calm periods in the city of Rijeka, Croatia
    Ivosevic, T.
    Orlic, I.
    Radovic, I. Bogdanovic
    Cargonja, M.
    Stelcer, E.
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS, 2017, 406 : 82 - 86
  • [32] Source Apportionment Coupled with Gas/Particle Partitioning Theory and Risk Assessment of Polycyclic Aromatic Hydrocarbons Associated with Size-Segregated Airborne Particulate Matter
    Zhai, Yunbo
    Li, Ping
    Zhu, Yun
    Xu, Bibo
    Peng, Chuan
    Wang, Tengfei
    Li, Caiting
    Zeng, Guangming
    WATER AIR AND SOIL POLLUTION, 2016, 227 (02):
  • [33] Size, source and chemical composition as determinants of toxicity attributable to ambient particulate matter
    Kelly, Frank J.
    Fussell, Julia C.
    ATMOSPHERIC ENVIRONMENT, 2012, 60 : 504 - 526
  • [34] Source apportionment of ambient fine particulate matter in Dearborn, Michigan, using hourly resolved PM chemical composition data
    Pancras, Joseph Patrick
    Landis, Matthew S.
    Norris, Gary A.
    Vedantham, Ram
    Dvonch, J. Timothy
    SCIENCE OF THE TOTAL ENVIRONMENT, 2013, 448 : 2 - 13
  • [35] Source apportionment of the PM10 fraction of particulate matter collected in Krakow, Poland
    Samek, Lucyna
    NUKLEONIKA, 2012, 57 (04) : 601 - 606
  • [36] Source Apportionment and Characterization of Particulate Matter (PM10) in Urban Environment of Lahore
    Alam, Khan
    Mukhtar, Azam
    Shahid, Imran
    Blaschke, Thomas
    Majid, Hussain
    Rahman, Said
    Khan, Rehana
    Rahman, Naheed
    AEROSOL AND AIR QUALITY RESEARCH, 2014, 14 (07) : 1851 - 1861
  • [37] Designing ambient particulate matter monitoring program for source apportionment study by receptor modeling
    Oanh, Nguyen Thi Kim
    Pongkiatkul, Prapat
    Upadhyay, Nabin
    Hopke, Phillip P.
    ATMOSPHERIC ENVIRONMENT, 2009, 43 (21) : 3334 - 3344
  • [38] Source Apportionment of Winter Submicron Prague Aerosols from Combined Particle Number Size Distribution and Gaseous Composition Data
    Thimmaiah, Devraj
    Hovorka, Jan
    Hopke, Philip K.
    AEROSOL AND AIR QUALITY RESEARCH, 2009, 9 (02) : 209 - 236
  • [39] Relationship between indoor and outdoor size-fractionated particulate matter in urban microenvironments: Levels, chemical composition and sources
    Martins, Vania
    Faria, Tiago
    Diapouli, Evangelia
    Manousakas, Manousos Ioannis
    Eleftheriadis, Konstantinos
    Viana, Mar
    Almeida, Susana Marta
    ENVIRONMENTAL RESEARCH, 2020, 183
  • [40] Characteristics and Source Apportionment of Size-Fractionated Particulate Matter at Ground and above the Urban Canopy (380 m) in Nanjing, China
    Wu, Hao
    Chen, Pulong
    Wang, Tijian
    Xie, Min
    Zhuang, Bingliang
    Li, Shu
    Li, Mengmeng
    ATMOSPHERE, 2022, 13 (06)