Composition and source apportionment of fine particulate matter during extended calm periods in the city of Rijeka, Croatia

被引:3
|
作者
Ivosevic, T. [1 ]
Orlic, I. [2 ]
Radovic, I. Bogdanovic [3 ]
Cargonja, M. [2 ]
Stelcer, E. [4 ]
机构
[1] Educ & Teacher Training Agcy, Trpimirova 6, HR-51000 Rijeka, Croatia
[2] Univ Rijeka, Dept Phys, Radmile Matejcic 2, HR-51000 Rijeka, Croatia
[3] Rudjer Boskovic Inst, Lab Ion Beam Interact, Bijenicka 54, HR-10000 Zagreb, Croatia
[4] Australian Nucl Sci & Technol Org, Locked Bag 2001, Kirrawee Dc, NSW 2232, Australia
来源
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS | 2017年 / 406卷
关键词
PM2.5; IBA; LIPM; Positive matrix factorization; Air pollution sources; LONG-TERM; AIR-POLLUTION; IDENTIFICATION; EMISSIONS; TRANSPORT; PIXE;
D O I
10.1016/j.nimb.2017.02.084
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
In the city of Rijeka, Croatia, an extended, two-year aerosol pollution monitoring campaign was recently completed. During that period, 345 samples of fine fraction of aerosols were collected on stretched Teflon filters. All samples were analyzed by Ion Beam Analysis techniques Proton Induced X-ray Emission and Proton Induced gamma-Ray Emission and concentrations of 22 elements were determined. Concentrations of black carbon were determined by Laser Integrated Plate Method. For the Bay of Kvarner, where the city of Rijeka is located, long periods of calm weather are common. As a consequence, during these periods, air pollution is steadily increasing. To pin-point and characterize local, mostly anthropogenic, air pollution sources, only samples collected during the extended calm periods were used in this work. As a cut-off wind speed, speed of 1.5 m/s was used. In that way, out of all 345 samples, only 188 were selected. Those samples were statistically evaluated by means of positive matrix factorization. Results show that from all anthropogenic sources (vehicles, secondary sulphates, smoke, heavy oil combustion, road dust, industry Fe and port activities) only secondary sulphates and heavy oil combustion were significantly higher (40% and 50%, respectively) during calm periods. On the other hand, natural components of aerosol pollution such as soil and sea salts, (typically present in concentrations of 1.4% and 9%, respectively) are practically non-existent for calm weather conditions. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:82 / 86
页数:5
相关论文
共 50 条
  • [21] Vertical measurements of stable nitrogen and oxygen isotope composition of fine particulate nitrate aerosol in Guangzhou city: Source apportionment and oxidation pathway
    Wang, Yujing
    Liu, Junwen
    Jiang, Fan
    Chen, Zixi
    Wu, Lili
    Zhou, Shengzhen
    Pei, Chenglei
    Kuang, Ye
    Cao, Fang
    Zhang, Yanlin
    Fan, Meiyi
    Zheng, Junyu
    Li, Jun
    Zhang, Gan
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 865
  • [22] Source apportionment of fine particulate matter by positive matrix factorization in the metropolitan area of Sao Paulo, Brazil
    de Miranda, Regina Maura
    Andrade, Maria de Fatima
    Dutra Ribeiro, Flavia Noronha
    Mendonca Francisco, Kelliton Jose
    Perez-Martinez, Pedro Jose
    JOURNAL OF CLEANER PRODUCTION, 2018, 202 : 253 - 263
  • [23] Source Apportionment of Fine Organic Particulate Matter (PM2.5) in Central Addis Ababa, Ethiopia
    Tefera, Worku
    Kumie, Abera
    Berhane, Kiros
    Gilliland, Frank
    Lai, Alexandra
    Sricharoenvech, Piyaporn
    Patz, Jonathan
    Samet, Jonathan
    Schauer, James J.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (21)
  • [24] 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
  • [25] Source Apportionment of Fine and Coarse Particulate Matter in Industrial Areas of Kaduna, Northern Nigeria
    Orogade, Sunday A.
    Owoade, Kayode O.
    Hopke, Philip K.
    Adie, Donatus B.
    Ismail, Abubakar
    Okuofu, Charles A.
    AEROSOL AND AIR QUALITY RESEARCH, 2016, 16 (05) : 1179 - 1190
  • [26] Chemical characterization and source apportionment of fine and coarse atmospheric particulate matter in Doha, Qatar
    Javed, Wasim
    Guo, Bing
    ATMOSPHERIC POLLUTION RESEARCH, 2021, 12 (02) : 122 - 136
  • [27] Source apportionment of particulate matter, gaseous pollutants, and volatile organic compounds in a future smart city of India
    Yadav, Manish
    Soni, Kusum
    Soni, Bhupendra Kumar
    Singh, Nitin Kumar
    Bamniya, Babu Ram
    URBAN CLIMATE, 2019, 28
  • [28] Source apportionment of particulate matter in a large city of southeastern Po Valley (Bologna, Italy)
    L. Tositti
    E. Brattich
    M. Masiol
    D. Baldacci
    D. Ceccato
    S. Parmeggiani
    M. Stracquadanio
    S. Zappoli
    Environmental Science and Pollution Research, 2014, 21 : 872 - 890
  • [29] Chemical constituents, driving factors, and source apportionment of oxidative potential of ambient fine particulate matter in a Port City in East China
    Chen, Ke
    Xu, Jingsha
    Famiyeh, Lord
    Sun, Yong
    Ji, Dongsheng
    Xu, Honghui
    Wang, Chengjun
    Metcalfe, Sarah E.
    Betha, Raghu
    Behera, Sailesh N.
    Jia, Chunrong
    Xiao, Hang
    He, Jun
    JOURNAL OF HAZARDOUS MATERIALS, 2022, 440
  • [30] Source apportionment of fine particulate matter organic carbon in Shenzhen, China by chemical mass balance and radiocarbon methods
    Al-Naiema, Ibrahim M.
    Yoon, Subin
    Wang, Yu-Qin
    Zhang, Yuan-Xun
    Sheesley, Rebecca J.
    Stone, Elizabeth A.
    ENVIRONMENTAL POLLUTION, 2018, 240 : 34 - 43