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
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
  • [41] Measurement report: Receptor modeling for source identification of urban fine and coarse particulate matter using hourly elemental composition
    Reizer, Magdalena
    Calzolai, Giulia
    Maciejewska, Katarzyna
    Orza, Jose A. G.
    Carraresi, Luca
    Lucarelli, Franco
    Juda-Rezler, Katarzyna
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2021, 21 (19) : 14471 - 14492
  • [42] Source apportionment of fine particulate matter at a megacity in China, using an improved regularization supervised PMF model
    Xu, Bo
    Xu, Han
    Zhao, Huan
    Gao, Jie
    Liang, Danni
    Li, Yue
    Wang, Wei
    Feng, Yinchang
    Shi, Guoliang
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 879
  • [43] Source apportionment of the oxidative potential of fine ambient particulate matter (PM2.5) in Athens, Greece
    Taghvaee, Sina
    Sowlat, Mohammad H.
    Diapouli, Evangelia
    Manousakas, Manousos Ioannis
    Vasilatou, Vasiliki
    Eleftheriadis, Kostas
    Sioutas, Constantinos
    SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 653 : 1407 - 1416
  • [44] Review of receptor-based source apportionment research of fine particulate matter and its challenges in China
    Zhang, Yanjun
    Cai, Jing
    Wang, Shuxiao
    He, Kebin
    Zheng, Mei
    SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 586 : 917 - 929
  • [45] Ensemble-Based Source Apportionment of Fine Particulate Matter and Emergency Department Visits for Pediatric Asthma
    Gass, Katherine
    Balachandran, Sivaraman
    Chang, Howard H.
    Russell, Armistead G.
    Strickland, Matthew J.
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2015, 181 (07) : 504 - 512
  • [46] Development and evaluation of a daily temporal interpolation model for fine particulate matter species concentrations and source apportionment
    Redman, Jeremiah D.
    Holmes, Heather A.
    Balachandran, Sivaraman
    Maier, Marissa L.
    Zhai, Xinxin
    Ivey, Cesunica
    Digby, Kyle
    Mulholland, James A.
    Russell, Armistead G.
    ATMOSPHERIC ENVIRONMENT, 2016, 140 : 529 - 538
  • [47] Chemical characterization of fine particulate matter in Changzhou, China, and source apportionment with offline aerosol mass spectrometry
    Ye, Zhaolian
    Liu, Jiashu
    Gu, Aijun
    Feng, Feifei
    Liu, Yuhai
    Bi, Chenglu
    Xu, Jianzhong
    Li, Ling
    Chen, Hui
    Chen, Yanfang
    Dai, Liang
    Zhou, Quanfa
    Ge, Xinlei
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2017, 17 (04) : 2573 - 2592
  • [48] A ten-year source apportionment study of ambient fine particulate matter in San Jose, California
    Wang, Yungang
    Hopke, Philip K.
    ATMOSPHERIC POLLUTION RESEARCH, 2013, 4 (04) : 398 - 404
  • [49] Source apportionment and potential source regions of size-resolved particulate matter at a heavily polluted industrial city in the Indo-Gangetic Plain
    Gupta, Lovleen
    Bansal, Mahak
    Nandi, Priyabrata
    Habib, Gazala
    Raman, Ramya Sunder
    ATMOSPHERIC ENVIRONMENT, 2023, 298
  • [50] Source apportionment of fine particulate matter and risk of term low birth weight in California: Exploring modification by region and maternal characteristics
    Ng, Connie
    Malig, Brian
    Hasheminassab, Sina
    Sioutas, Constantinos
    Basu, Rupa
    Ebisu, Keita
    SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 605 : 647 - 654