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Article

Case Studies of Aerosol Pollution in Different Public Transport Vehicles in Hungarian Cities

1
Isotope Climatology and Environmental Research Centre (ICER), Institute for Nuclear Research (ATOMKI), P.O. Box 51, H-4001 Debrecen, Hungary
2
Laboratory for Heritage Science, Institute for Nuclear Research (ATOMKI), P.O. Box 51, H-4001 Debrecen, Hungary
3
Pál Juhász-Nagy Doctoral School of Biology and Environmental Sciences, University of Debrecen, P.O. Box 400, H-4002 Debrecen, Hungary
*
Author to whom correspondence should be addressed.
Atmosphere 2022, 13(5), 692; https://doi.org/10.3390/atmos13050692
Submission received: 28 February 2022 / Revised: 3 April 2022 / Accepted: 24 April 2022 / Published: 26 April 2022
(This article belongs to the Special Issue Air Quality in Hungary)

Abstract

:
In this case study, aerosol pollution and passenger exposure were investigated while travelling on different public transport vehicles in Hungary. Two sampling campaigns were carried out: one in autumn 2012 and the other in spring 2014. Concentration, elemental composition and the size distribution of aerosol samples were determined in order to characterize the atmospheric particulate matter (APM) pollution inside the vehicles. The concentration of the PMcoarse fraction inside the different vehicles varied between 29 and 354 μg m−3, while the PM2.5 concentrations were found to be between 12 and 192 μg m−3. This was significantly (2–19 times) higher than the outdoor concentration values. The main sources of the increased exposure were the resuspended mineral and road dust, including salt and fertilizers, and the direct exhaust of the vehicles. Rail abrasion and disinfectant and cleaning materials also contributed considerably to the aerosol pollution inside the vehicles. Moreover, organic fibrous particles were found in great number on the samples by single particle analysis using scanning electron microscopy (SEM).

1. Introduction

Atmospheric particulate matter (APM) is one of the most serious pollutants in Europe in terms of adverse effects on human health [1]. According to a United Nations report, more than half of the world’s population (55%) lives in urban areas [2], where currently the particulate matter (PM) pollution originates mainly from industrial emissions, local traffic and biomass burning [3,4], and it is the most appreciable environmental risk to human health [5]. The main causes of premature death from air pollution are heart disease, stroke and various lung diseases and lung cancer [3]. In 2013, the International Agency for Research on Cancer (IARC) classified air pollutants and found that PM, the main component of air pollutant mixtures, is carcinogenic [6].
In urbanized areas, transport plays a major role in people’s lives. Public transport systems carry millions of passengers per day in numerous cities around the world. In Hungary, transportation is part of the daily routine, and it contributes significantly to aerosol pollution in the environment. Normally, concentrations of pollutants are significantly higher in traffic areas than in urban background sites [7]. In accordance with the Hungarian Central Statistical Office, 80% of the population travels on a daily basis, 20% of the people use public transportation and the average travelling time is approximately 1.5 h each day [8]. Most outdoor pollutants get into indoor spaces and can react with indoor pollutants. Therefore, harmful pollutants may be present in higher concentrations than outdoors [9].
Previous studies, when personal exposure from the perspective of drivers and passengers on different public transport modes were investigated, showed that people using or working in public transportation were exposed to elevated aerosol pollution levels [10,11,12]. In Hong Kong, a total of eight public transportation modes were investigated including bus, tram, and different railways. They found higher PM10 concentrations in non-air-conditioned vehicles than in air-conditioned vehicles [13]. The highest values were observed inside trams. Different types of public transport vehicles with different ages were compared in Helsinki, and the conclusion was that the newer technology eventuate less exposition for the commuters [14]. Numerous studies have been published so far about air quality in underground systems in Europe, Asia, America and Egypt, and PM was identified as the main pollutant in the metro [15]. Salma et al. showed that in underground railway stations in Budapest, Hungary, people are exposed to several times higher concentrations of heavy metals than when outdoors [16,17]. In our previous study on air pollution in trams in Debrecen, Hungary, we also found elevated levels of APM inside the vehicles; however, modern ventilation technology resulted in lower exposure [18]. In some studies [19,20,21], the impacts of air conditioning and air circulation were investigated through the indoor/outdoor (I/O) ratios and the ultrafine particulate matter (UFP) concentrations in cars. They found that closed air-circulation systems resulted in less exposure.
While metros and underground environments have been extensively studied, data on APM pollution in other types of public transportation are relatively rare, especially on the elemental and/or chemical composition of the in-vehicle pollution [22,23]. In addition, there is almost no information available from the middle-eastern European region.
Hungary lies in the Carpathian Basin in Central Europe, with 9.3 million inhabitants. With a population of 200,000, Debrecen is the second largest city in Hungary, and the transport network includes 2 tram-lines, 60 local buses and 3 trolleybus routes. In our research, we investigated the in-vehicle concentration and elemental composition of PMcoarse and PMfine in different public transport vehicles under usual operating conditions. The local buses involved in this study have been running since 2009 and the trolleybuses since 2005. Both vehicles are equipped with air conditioning and heating systems with preprogrammed settings, and the buses operate with Euro 4 and Euro 5 diesel engines [24]. At the time of sampling, the air-conditioning system was not used in the buses and trolleybus; they drove with all windows open, which is the usual driving condition in good weather. Therefore, in the following, these buses were qualified as non-air-conditioned vehicles (i.e., non-A/C local bus and non-A/C trolleybus). Two types of tramcars are used in the public transportation of the city: KCSV (old type) and CAF (new type). The older ones have been in service since 1997, while the new ones since 2014 when the new tram-line was put into operation. The CAF trams have modern air-conditioning–ventilating and heating systems. The windows cannot be opened by the occupants, and the ventilation is provided by the tram’s own system, which is preprogrammed depending on the weather and seasons. In contrast, the older models have central ventilation and a heating unit on top of the tram that is set to ventilate the vehicle 24 times per hour during the heating season and 37 times per hour during the summer season. Cooling is provided through the windows because this old model does not have an air-conditioning system [24]. The InterCity carriages were built between 1970 and 1971 and refurbished between 1994 and 2000. The railway carriages are equipped with air correction devices and air-conditioning systems. Air exchange is provided through the ventilation system, and the windows cannot be opened [25]. With 2 million inhabitants, Budapest is the capital city of Hungary. The transport system has several bus, trolleybus, tram and metro lines; however, in this paper, only the underground was engaged. Nowadays, the capital city has 4 metro lines: Metro 1 (M1), Metro 2 (M2), Metro 3 (M3) and the newest, Metro 4 (M4). The metro carriages involved in this study ran on the Metro 3 (M3) line, which is the longest line at 16.3 km, and they were in service between 1976 and 2016. The metro carriages were not equipped with an air-conditioning system, and the open windows ensured cooling and air exchange in the metro cabins. In addition, the tunnels had their own ventilation system [26].
In the present work, PM concentration, elemental composition, the size distribution and the possible sources of indoor APM pollution were determined in different public transport vehicles under normal travelling conditions in Debrecen, Hungary, and on intercity trains travelling between Debrecen and Budapest. As supplementary information, we collected aerosol samples while travelling on an underground train in Budapest in order to compare the characteristics of the APM pollution in public transport vehicles operating above ground. To our best knowledge, this is the first time that elemental size distribution has been reported from public transport vehicles.

2. Materials and Methods

2.1. Aerosol Sampling

Aerosol samplings were conducted while travelling in different vehicles: local buses, trolleybuses, old and new types of trams in Debrecen, an InterCity (IC) train between Debrecen and Budapest, and the M3 Budapest Metro. Figure 1 shows the investigated transport lines and the monitoring stations, while Table 1 includes the exact vehicle types, the sampling dates, the applied sampling devices, the line lengths and the measured size fractions. In-vehicle aerosol particles were collected with personal samplers equipped with Nuclepore two-stage sample head (NP two–stage sampler). The samplers were loaded with 2 Nuclepore polycarbonate filters: one with 8 µm and another with 0.4 µm pore sizes. With this method, the particles could be separated into two size fractions: the fine fraction (PM2.5—particles with an aerodynamic diameter smaller than 2.5 µm) and the coarse fraction (PMcoarse—particles with an aerodynamic diameter larger than 2.5 µm). Buck Elite-5 personal pumps [27] were used to pump air through the system at an approximately 3 L min−1 flow rate. In 2014, besides the two-stage samplers, a Sioutas four-stage personal cascade impactor [28] was applied with an SKC Leland Legacy pump [29] at an 8.3 L min−1 flow rate. This allowed the separation of the aerosol within the size range of 0.25–10.0 μm into 4 fractions: 0.25–0.50, 0.50–1.00, 1.00–2.50 and 2.50–10.0 μm. Aerosol particles of different size fractions were gathered on metal-free paraffin coated thin Kapton foils 25 mm in diameter. The duration of the aerosol samplings was approximately four hours inside the different vehicles. Generally, the collection took place in the afternoons (1 p.m.–5 p.m.). In order to obtain enough samples quantity for the chemical analysis, 3–4 h long samplings were required. On the days of samplings, the weather was dry and warm. In 2012, the temperature was approximately 25–30 °C, while in 2014 it was 20–25 °C.
The results were compared to samples collected at the urban background (UB) station of the ATOMKI. In this UB location, PM10 and PM2.5 samples have been collected two times a week since 1988 using a Gent-type sampler [30] equipped with 47 mm diameter Nuclepore polycarbonate filters with 8 and 0.4 µm pore sizes. Data obtained at this UB station were used as reference outdoor data in this study. Unfortunately, there was no sampling in autumn 2012 because of the renovation and isolation of the sampling sites.

2.2. Mass and Elemental Analysis

The total mass concentration of the PM samples was determined by gravimetric technique using a 6-digit microbalance (RADWAG MYA/5/2Y/F). The polycarbonate filters were conditioned at least 24 h before weighing in the weighing box at 25 °C and 55% relative humidity. An ionizer was applied during weighing in order to eliminate the static charge on the filters. The concentration, defined in µg/m3, was computed from the volume of air and the mass load. In the case of Kapton filters, the uncertainty of the weighing was too high due to the very small PM mass and charging effects; therefore, no mass data were available for the impactor samples. Furthermore, there was no PMcoarse data available for the local bus in 2014.
In order to define the elemental composition of the aerosol samples (13 ≥ Z), the particle-induced X-ray emission (PIXE) analytical method was used. The bulk measurements were implemented at the PIXE chamber installed on the left 45° beamline on the 5 MV Van de Graaff accelerator of the Institute for Nuclear Research (ATOMKI) [31]. A H+ beam of 2 MeV energy and of 30–40 nA current was used for the irradiation. The accumulated charge on each sample was 40 μC, and the acquisition time was approximately 15–20 min. The beam spot had a diameter of 5 mm in the case of the filter samples. For the impactor samples, a 2 × 8 mm beam spot was applied, which covered the aerosol deposit created by the Sioutas impactor. The obtained X-ray spectra were evaluated with the PIXEKLM program package [32,33]. Concentrations of the following elements were assigned after blank correction: Al, Si, P, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Cu, Zn, Br, Ba and Pb. The concentration values were given in ng m−3. Depending on the element, the error of the determination of the elemental concentration varied between 5% and 20%, and the detection limit was between 2 and 0.1 ng m-3. The minimum detection limit and the analytical error for all of the analyzed quantities are given in Table S1. Furthermore, PIXE spectra of selected samples are also provided in Supplementary Materials Figure S1.
Additional morphological and elemental analysis was conducted by electron microscopy using a Jeol JSM-IT500HR scanning electron microscope at the Laboratory for Heritage Science, ATOMKI. Backscattered (BS) electron images as well as secondary (SE) electron images and EDX spectra were collected on the filters at a 10 kV acceleration voltage and at a 50 Pa low-vacuum mode. All of the applied analytical techniques were non-destructive; therefore, the same samples were used for all of the analyses.

2.3. Data Analysis

2.3.1. Enrichment Factor (EF)

Enrichment Factors (EFs) were calculated in order to obtain information about the origin of the detected elements, using Ti as the reference element:
EF   = (   X   Ti ) PM ( X Ti ) Crustal
where X is the concentration of the element in question, and Ti is the concentration of the reference element. EF values of approximately 1 (less than 10) indicate a natural origin of the given element, while if an EF has a value of more than 10, it points to an anthropogenic origin. Enrichment factor calculations were based on the Mason’s average crustal rock composition [34].

2.3.2. Indoor Enrichment Factor (Indoor EF)

In order to determine a difference between outdoor and “indoor” sources, indoor/outdoor EF ratios (in the following: indoor EF) were computed:
indoor   EF   = ( (   X   Ti ) PM ( X Ti ) Crustal ) i n d o o r ( (   X   Ti ) PM ( X Ti ) Crustal ) o u t d o o r
By convention, an indoor EF ≤ 1 normally means an outdoor origin of the element. An indoor EF > 1 and significantly higher values suggest an indoor origin.

3. Results

3.1. Mass Concentration

Table 2 presents the PM concentrations measured inside the vehicles; PM2.5, PM10 and PMcoarse were obtained at the ATOMKI UB station (from 24 h samplings) on the sampling days and PM10 concentrations were measured at an UB and at a traffic measurement site of the Hungarian Air Quality Network (HAQN) in Debrecen at the time of the samplings [35]. The automatic stations of the HAQN provided only PM10 mass data. The outdoor PM data show that the samplings were made in similar conditions: the outdoor pollution level was, on average, level in the city, and the meteorological circumstances were also similar for all days.
The PMcoarse concentration on the different vehicles varied between 29 and 354 µg m−3, while the PM2.5 concentration was found to be between 12 and 189 µg m−3. The lowest concentrations were measured in the case of the new tram, while very high pollution levels were observed on the old tram, the bus, the IC train and the metro. The concentrations inside the vehicles were compared to the PM10 levels measured at the same time at two HAQN sites and the location of the ATOMKI. The results showed that in all cases, the PM pollution levels were significantly higher than for outdoors. The PMcoarse level was very high in both years in all vehicles, except the new tram, while in general, much higher PM2.5 levels were measured in 2014 than in 2012. One exception is the local bus, where high PM2.5 concentrations were experienced in 2012. This bus line leads from the city center to a suburban area a few kilometers outside the city border using the main road No. 33. At the time of the sampling, due to the good weather, the bus was driving with all the windows down, and agricultural works were being conducted in nearby fields. Thus, the resuspended dust, the emission from the diesel engine and the field works together could cause the elevated PM pollution levels inside the bus. The differences between the PM2.5 levels in the two campaigns can be explained by the different travelling conditions (in the warm weather windows are usually kept down) or the older age of the ventilating systems. We had no access to information about the date of maintenance, either. High concentrations were measured on the old tram in 2014. Roadworks next to the tramline were the most probable cause of the elevated pollution level, as we have shown in our study from 2017 to 2018 [18]. Significantly lower PMcoarse and PM2.5 concentrations were observed in the new tram than in the old type in 2014, which is in accordance with our findings from 2017 to 2018 [18]. It is important to note that the two types of trams ran partly on different lines during the sampling period: the old ones ran on tram-line 1, while the new types on tram-line 2.
In Table 3, the obtained PM concentrations are presented together with results from similar studies from Hong Kong [13], Munich [36], Barcelona [22], Lisbon [23] and our findings for the trams in Debrecen, 2017–2018 [18]. Basically, the measured concentrations were on the same order of magnitude as in other cities for similar vehicles; however, in most cases, we measured similar or higher concentrations. We note that in most of the other studies, the PM concentrations were obtained by real-time measurement using particle counters. The PM concentrations measured in the metro were in accordance with other results, e.g., Rome (407 µg m−3 on average) [37], London (800 µg m−3 on average) [38] or Stockholm (470 µg m−3 on average) [39]. In the case of the IC train, the observed PM10 concentrations were significantly higher than the findings in other studies [40,41,42], while the PM2.5 concentrations were in good agreement with data from other countries [40,43,44]. More detailed information for comparison concerning the metro and trains can be found in Table S2 in the Supplementary Materials [17,18,37,38,39,40,41,42,43,44,45,46].

3.2. Elemental Composition

The elemental concentrations of the measured 16 elements in different vehicles and size fractions, indoor/outdoor (I/O) ratios and EF values in 2012 and in 2014 are shown in Table 4, Table 5 and Table 6. In 2012, the observed elements exhibited high concentrations. EFs of Al, Si, P, K, Ca, V, Mn and Ba in all vehicles were below 10, which suggests soil resuspension as their source, whereas S, Cl, Cr, Fe, Cu, Zn and Pb had high EFs, indicating an anthropogenic origin. The enrichment factors of Mn and Fe were much higher in the case vehicles running on rails (i.e., tram and IC train) pointing towards an additional source of these elements.
Since the resuspension of soil was recognized as one of the main sources of PM pollution inside the vehicles, the contribution of mineral dust components was calculated using the formula: 1.9[Al] + 2.14[Si] + 1.4[Ca] + 1.3[K] +1.67[Ti] + 1.44[Fe] [47] (our assumption is that the elements occur in their common oxide form). For vehicles running on rail, the enrichment factors of Fe were higher than 1. Therefore, the following formula was used to estimate the amount of Fe from the Earth’s crust [16]:
PM   Fe   crustal = ( Fe / Ti ) crustal   ×   PM   ( Ti )   aerosol ,
where PM (Ti)aerosol is the concentration of Ti in the aerosol sample, and (Fe/Ti)crustal represents the concentration of X element in Mason’s average crustal rock composition [34]. The calculations for mineral dust were based on the crustal Fe concentration.
In the coarse fraction, the contribution of mineral dust varied between 30 and 50%. The exceptions were the new tram with 70% and the IC train with only 5% mineral dust contribution. In the fine fraction, the contribution of mineral dust ranged from 5% (local bus 2012, IC train) to 25% (trolleybus, new tram), with two exceptions: old tram—60%, local bus 2014—45%. For vehicles running on rails, the contribution of non-mineral dust Fe (Nmd. Fe) to the Fe concentration varied between 70 and 99% in both size fractions, indicating railway abrasion as a primary source of in-vehicle pollution.
We assumed that primarily carbonaceous particles were responsible for the unaccounted mass [48].
In 2014, the measured concentration data in the vehicles could be compared to outdoor data; hence, I/O ratios were calculated. We found that the elemental concentrations were significantly higher inside the vehicles than in the outdoor air, while the composition was similar. The highest I/O ratios were detected in the local bus, and the lowest in the new tram. Similar I/O ratios were found in the old tram and the trolley bus in both size fractions. In general, the I/O ratios were 5–10 times higher in the coarse fraction than in the fine fraction.
Nevertheless, the accumulation (I/O ratios) was higher for mineral dust elements, such as Al, Si, Ca, Ti and Ba, than for elements of anthropogenic origin (e.g., S, Zn, Pb or fine fraction K). The higher accumulation of mineral dust could be attributed to the resuspension of dust caused by traffic and passengers. The highest I/O ratios were measured in the bus and the lowest ones in the new tramcar. In the latter case, lower PM2.5 concentrations of elements of anthropogenic origin were measured indoor than outdoor, indicating that the air filtering system of the modern tram worked very effectively. Lower PM and elemental concentrations, by at least a factor of two, were measured inside the modern CAF trams than in the old type of trams, which had already been running for 18 years. For Cl, the I/O ratios and, thus, indoor enrichment were all higher than all of the other elements for all vehicle types, indicating an indoor source of chlorine.
In terms of each vehicle type, we found at least one element that was characteristic to that type, and its origin was the vehicle itself or its infrastructure. These elements were identified by the higher EF and indoor enrichment values and high I/O ratios. High Fe and Mn concentrations in the trams, trains and the metro originated from rail abrasion. Copper and zinc could come from the overhead wires in the case of the trams, the trolleybus and the train.
Different aerosol compositions and very high concentrations for some elements were observed inside the metro carriage. Enrichment factors of Mn, Fe, Br, Ba and Pb were much higher than in the aboveground vehicles. This could be explained by the fact that the metro railway systems have a closed character, restricted ventilation and special emission sources [16]. Fe accounted for more than 50% of the measured mass, and other heavy metals, such as Cr, Mn, Cu, Br and Pb, were also present in remarkable concentrations. Their source could be rail abrasion. We note that these outdated Russian trains where we collected the samples are no longer operational. Very high PMcoarse concentrations were measured in the IC train on both occasions; however, in this case the measured elemental concentrations did not account for the elevated PM levels. Therefore, the samples were investigated by scanning electron microscopy to obtain better insight into the pollution in the trains (see Section 3.4).
Figure 2 presents the indoor EF ratios of the different vehicles in 2014. In most cases, the indoor EF values were approximately 1, as expected. Nevertheless, some elements had higher values. In the buses, the indoor EF values were all approximately 1 for both fractions, suggesting that the pollutants originated from outside. Chlorine had the highest indoor enrichment in the trolleybuses and old and new types of trams. In the fine fraction, the source of chlorine was assumed to be sodium hypochlorite, which is used to clean the interior of vehicles. The origin of the coarse fraction of Cl is a question to which single particle analysis by SEM could provide answers. The indoor EF of zinc was above 1 in the trolleybuses and the two trams; it could originate from the overhead wires. Moreover, high iron and silicon values were identified in the trams. The most probable source of iron could be the rail and tram wheel abrasion.

3.3. Elemental Mass Size Distribution

The mass size distributions of three selected elements are shown on Figure 3. Silicon (Figure 3a) represents the crustal elements, sulphur is representative of anthropogenic elements of outdoor origin and chlorine is the element with an indoor source. The size distribution of all of the elements can be found in Supplementary Materials Figure S3. In the mass size distribution of the Earth’s crust elements, the main peak appeared in the coarse fraction, as was expected. In the case of sulphur (Figure 3b), the distribution had a bimodal shape in most cases. One peak could be found in the condensation mode (0.25–0.50 µm) and another in the coarse mode. The mass size distribution of S in the trams and the trolleybuses showed similarity with a dominant peak in the condensation mode. The elevated PMcoarse concentrations could be responsible for the considerable peak in the coarse mode, especially in the case of the bus and the metro. In the IC train, the fine-mode S peak appeared in the droplet mode (0.5–1 µm). The IC train had a closed ventilation system, which could cause the shift in the size distribution. The mass size distribution of chlorine (Figure 3c) differed from vehicle to vehicle. Most of the Cl could be found in the coarse mode; however, in specific vehicles, considerable amounts of Cl were found in the 1–2.5 µm size fraction. One possible source of Cl is from the cleaning of the vehicles. However, it does not explain the very high concentrations in the coarse mode. The Metro carriage showed different features, which was expected due to the fact of its specific microenvironment.

3.4. Single Particle Analysis by Scanning Electron Microscopy

As mentioned earlier, the bulk composition did not provide satisfactory explanations as to the origin of pollution in some cases. One interesting question was the enhanced PMcoarse levels in the IC train and in the old tram and another was the origin of the very high concentrations of Cl inside some vehicles. Therefore, single particle analysis using scanning electron microscopy was performed on all coarse mode samples from all of the vehicles. Morphology together with its chemical composition of an aerosol particle provides important information about its origin, formation, aging and its possible impact on the environment and human health. The following particle types were identified: amorphous (i.e., Al–Si rich, Al–Si–Fe rich, Si rich and Fe rich), fibrous (i.e., C–O rich), cubic (i.e., KCl and NaCl), fiber (i.e., K rich) and filings (Fe rich).
Figure 4a shows amorphous particles (i.e., Al–Si–K–Mg rich) identified as mineral dust [49]. This formation was found in all types of vehicles in great number.
Fe-rich filing particles (Figure 4b) were observed in the Metro, which was unique to this vehicle. Such particles were responsible for the very high iron concentration measured in the underground train.
Chlorine appeared in the form of NaCl and KCl crystal cubes. Its origin was presumably salt remaining from winter de-icing in early spring and fertilizer in autumn [50]. Mainly, KCl was found in the trolleybuses in September 2014 and NaCl in the case of the old tram in March 2012 (Figure 4c). Furthermore, fibrous material with C and O contents were found in all of the samples (Figure 4d), which suggests an organic origin. Such fibers occurred in a great number on the samples from the IC train. K-rich fiber particles were observed in 2014 in the old tram (Figure 4e). One possible origin of the fibers are the seats, another is the air ventilating system.

4. Conclusions

In this work, APM pollution was characterized while travelling on different public transport vehicles in Hungarian cities. Considerable PM levels were observed, especially on the old vehicles. The measured concentrations in the different public transport vehicles were 2–19 times higher than the concentrations measured outside at a traffic site or at urban background sites at the same time. Consequently, significant aerosol exposure was experienced by passengers, even if they were exposed to this high pollution level only for a short time. With the help of elemental composition and enrichment factor analysis, the sources of PM pollution could be identified. The origin of the elevated pollution levels were the resuspension of the mineral and road dust, the emission of the engine and various other indoor sources. The identified indoor sources, such as cleaning and disinfectant materials, fibers from seats, railway and wheel abrasion and overhead wires significantly contributed to the PM pollution. On vehicles operating on railways, high amount of Fe, Cr and Mn concentrations were found, the source of which was obviously railway abrasion. We have shown that the air circulation systems can cause very high pollution levels without proper cleaning and maintenance. On electrical vehicles, the aerosol pollution was lower, and the exposure of the passengers and drivers could be further reduced by using modern air technology and sufficient maintenance.
We compared our results to other similar studies from all over Europe and the world. The concentrations and elemental composition measured inside the vehicles were in accordance with the results from other European cities.
The work presented here is the result of the first two sampling campaigns of a planned measurement series. The next step is a systematic study of air quality inside trams in Debrecen [19]. Unfortunately, an extensive and systematic campaign planned for 2020 had to be cancelled due to the COVID-19 pandemic, and it is still not clear when it can be carried out.
This is one of the first studies to report on the characterization of PM pollution inside public transport vehicles from the middle-eastern European region and the first time the elemental mass size distribution has been provided. Therefore, despite the limitation of the study due to the small number of samples, it can serve as a basis for comparison for further investigations. Most vehicles involved in this study were old, using outdated technology. Some of these vehicles are still operational. It will be interesting to see the improvement in air quality inside the different public transport vehicles when modern air circulation technology and “cleaner” transportation modes are applied.

Supplementary Materials

The following supporting information can be downloaded at: www.mdpi.com/article/10.3390/atmos13050692/s1, Figure S1. PMcoarse and PMfine PIXE spectra from different years and different transport vehicles; Figure S2. Mass size distributions for each element in different vehicles in 2014; Table S1. The detection limit and the error of the analytes.; Table S2. Comparison of mean PM10 and PM2.5 concentrations inside in railway and metro microenvironments.

Author Contributions

E.P. and E.F.; were responsible for the sampling, E.P., A.A., Z.S., E.F., Z.T. and Z.K.; performed the experimental work, E.P.; performed the data analysis, A.A. and E.P. carried out the SEM analysis, E.P.; prepared the figures, E.P.; drafted the original manuscript, Z.K.; made the review of the original draft, A.A.; contributed to the review and editing, Z.K. was the supervisor of the project. All authors have read and agreed to the published version of the manuscript.

Funding

The research was partially funded by the European Union and the State of Hungary, co-financed by the European Regional Development Fund under the project GINOP-2.3.2-15-2016-00009 “ICER”.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The datasets generated and analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.

Acknowledgments

The SEM measurements at ATOMKI was supported by the European Union and the State of Hungary, co-financed by the European Regional Development Fund in the frame of project GINOP-2.3.3-15-2016-00029 ‘HSLab’.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Special Eurobarometer 468: Attitudes of European Citizens Towards the Environment. Available online: https://data.europa.eu/euodp/en/data/dataset/S2156_88_1_468_ENG (accessed on 4 January 2022).
  2. United Nations, Department of Economic and Social Affairs, Population Division. World Urbanization Prospects: The 2018 Revision (ST/ESA/SER.A/420). Available online: https://www.un.org/development/desa/publications/2018-revision-of-world-urbanization-prospects.html (accessed on 15 October 2021).
  3. World Health Organisation. Burden of Disease from the Joint Effects of Household and Ambient Air Pollution for 2016. Available online: www.who.int/airpollution/data/AP_joint_effect_BoD_results_May2018.pdf?ua=1 (accessed on 15 October 2021).
  4. European Environment Agency. Air Quality in Europe—2018 Report. Available online: https://www.eea.europa.eu/publications/air-quality-in-europe-2018 (accessed on 10 December 2021).
  5. World Health Organisation. Ambient Air Pollution. Available online: https://www.who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health (accessed on 20 February 2022).
  6. International Agency for Research on Cancer. Outdoor air Pollution a Leading Environmental Cause of Cancer Deaths. Available online: https://www.iarc.who.int/news-events/iarc-outdoor-air-pollution-a-leading-environmental-cause-of-cancer-deaths/ (accessed on 1 February 2022).
  7. Putaud, J.-P. Physical and Chemical Characteristics of Particulate Matter from 60 Rural, Urban, and Kerbside Sites across Europe. Atmos. Environ. 2010, 44, 1308–1320. [Google Scholar] [CrossRef]
  8. Hungarian Central Statistical Office. Daily Time Use of the 15–74 Years Old Population in 2010. Available online: http://www.ksh.hu/docs/hun/xftp/stattukor/idomerleg10.pdf (accessed on 15 October 2021).
  9. European Environment Agency, Indoor Air Quality. Available online: https://www.eea.europa.eu/signals/signals-2013/articles/indoor-air-quality (accessed on 15 October 2021).
  10. Kumar, P.; Patton, A.P.; Durant, J.L.; Frey, H.C. A review of factors impacting exposure to PM2.5, ultrafine particles and black carbon in Asian transport microenvironments. Atmos. Environ. 2018, 187, 301–316. [Google Scholar] [CrossRef]
  11. Ramos, M.J.; Vasconcelos, A.; Faria, M. Comparison of Particulate Matter Inhalation for Users of Different Transport Modes in Lisbon. Transp. Res. Procedia 2015, 10, 433–442. [Google Scholar] [CrossRef] [Green Version]
  12. Tsai, D.-H.; Wu, Y.-H.; Chan, C.-C. Comparisons of commuter’s exposure to particulate matters while using different transportation modes. Sci. Total Environ. 2008, 405, 71–77. [Google Scholar] [CrossRef] [PubMed]
  13. Chan, L.Y.; Lau, W.L.; Lee, S.C.; Chan, C.Y. Commuter exposure to particulate matter in public transportation modes in Hong Kong. Atmos. Environ. 2002, 36, 3363–3373. [Google Scholar] [CrossRef]
  14. Asmi, E.; Antola, M.; Yli-Tuomi, T.; Jantunen, M.; Aarnio, P.; Mäkelä, T.; Hillamo, R.; Hämeri, K. Driver and passenger exposure to aerosol particles in buses and trams in Helsinki, Finland. Sci. Total Environ. 2009, 407, 3460–3466. [Google Scholar] [CrossRef]
  15. Xu, B.; Hao, J. Air quality inside subway metro indoor environment worldwide: A review. Environ. Int. 2017, 107, 33–46. [Google Scholar] [CrossRef]
  16. Salma, I.; Pósfai, M.; Kovács, K.; Kuzmann, E.; Homonnay, Z.; Posta, J. Properties and sources of individual particles and some chemical species in the aerosol of a metropolitan underground railway station. Atmos. Environ. 2009, 43, 3460–3466. [Google Scholar] [CrossRef]
  17. Salma, I.; Weidinger, T.; Maenhaut, W. Time-resolved mass concentration, composition and sources of aerosol particles in a metropolitan underground railway station. Atmos. Environ. 2007, 41, 8391–8405. [Google Scholar] [CrossRef]
  18. Papp, E.; Nagy, D.; Szoboszlai, Z.; Angyal, A.; Török, Z.; Csepregi, Á.; Furu, E.; Kertész, Z. Investigation of aerosol pollution inside trams in Debrecen, Hungary. Nucl. Instr. Methods Phys. Res. 2020, 477, 138–143. [Google Scholar] [CrossRef]
  19. Bigazzi, A.Y.; Figliozzi, M.A. Impacts of freeway traffic conditions on in-vehicle exposure to ultrafine particulate matter. Atmos. Environ. 2012, 60, 495–503. [Google Scholar] [CrossRef]
  20. Hudda, N.; Eckel, S.P.; Knibbs, L.D.; Sioutas, C.; Delfino, R.J.; Fruin, S.A. Linking in-vehicle ultrafine particle exposures to on-road concentrations. Atmos. Environ. 2012, 59, 578–586. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Matthaios, V.N.; Kramer, L.J.; Crilley, L.R.; Sommariva, R.; Pope, F.D.; Bloss, W.J. Quantification of within-vehicle exposure to NOx and particles: Variation with outside air quality, route choice and ventilation options. Atmos. Environ. 2020, 240, 117810. [Google Scholar] [CrossRef]
  22. Moreno, T.; Reche, C.; Rivas, I.; Minguillón, M.C.; Martins, V.; Vargas, C.; Buonanno, G.; Parga, J.; Pandolfi, M.; Brines, M.; et al. Urban air quality comparison for bus, tram, subway and pedestrian commutes in Barcelona. Environ. Res. 2015, 142, 495–510. [Google Scholar] [CrossRef]
  23. Martins, V.; Correia, C.; Cunha-Lopes, I.; Faria, T.; Diapouli, E.; Ioannis Manousakas, M.; Eleftheriadis, K.; Almeida, S.M. Chemical characterisation of particulate matter in urban transport modes. J. Environ. Sci. 2021, 100, 51–61. [Google Scholar] [CrossRef]
  24. DKV (Debrecen Exclusive Transport Company Ltd.) Vehicle Descriptions. Available online: http://www.dkv.hu/jarmuveink (accessed on 10 September 2021). (In Hungarian).
  25. Train Types in Hungary. Available online: http://www.vonatosszeallitas.hu/kocsik.html (accessed on 10 September 2021). (In Hungarian).
  26. Metro Types in Hungary. Available online: http://metros.hu/jarmu/ev.html (accessed on 10 September 2021). (In Hungarian).
  27. Buck Elite-5 Personal Portable Pump. Available online: https://www.apbuck.com/shop/item.aspx?itemid=449 (accessed on 1 December 2021).
  28. Sioutas Personal Cascade Impactor. Available online: https://www.skcltd.com/products2/sampling-heads/sioutas-personal-cascade-impactor.html (accessed on 1 December 2021).
  29. SKC Leland Legacy Pump. Available online: https://www.skcltd.com/products2/air-sampling-pumps/leland-legacy-pump.html (accessed on 1 December 2021).
  30. Maenhaut, W.; Francois, F.; Cafmeyer, J. The “Gent” stacked filter unit (SFU) sampler for the collection of atmospheric aerosols in two size fractions: Description and instructions for installation and use. In Proceedings of the Research Coordination Meeting on Applied Research on Air Pollution Using Nuclear-Related Analytical Techniques, Vienna, Austria, 30 March–2 April 1993; pp. 249–263. [Google Scholar]
  31. Borbély-Kiss, I.; Koltay, E.; László, S.; Szabó, G.; Zolnai, L. Experimental and theroretical calibration of a PIXE setup for K and L X-rays. Nucl. Instr. Methods Phys. Res. 1985, 12, 496–504. [Google Scholar] [CrossRef]
  32. Szabó, G. PIXEKLM Program, User Guide; ATOMKI: Debrecen, Hungary, 2009. [Google Scholar]
  33. Szabó, G.; Borbély-Kiss, I. PIXYKLM computer package for PIXE analyses. Nucl. Instr. Methods Phys. Res. 1993, 75, 123–127. [Google Scholar] [CrossRef]
  34. Mason, B.H.; Moore, C.B. Principles of Geochemistry, 4th ed.; Wiley: New York, NY, USA, 1982. [Google Scholar]
  35. Hungarian Air Quality Network (HAQN). Available online: http://www.levegominoseg.hu/automatic-monitoring-network (accessed on 1 December 2021).
  36. Praml, G.; Schierl, R. Dust exposure in Munich public transportation: A comprehensive 4-year survey in buses and trams. Int. Arch. Occup. Environ. Health. 2000, 73, 209–214. [Google Scholar] [CrossRef]
  37. Ripanucci, G.; Grana, M.; Vicentini, L.; Magrini, A.; Bergamaschi, A. Dust in the Underground Railway Tunnels of an Italian Town. J. Occup. Environ. Hyg. 2006, 3, 16–25. [Google Scholar] [CrossRef]
  38. Smith, J.D.; Barratt, B.M.; Fuller, G.W.; Kelly, F.J.; Loxham, M.; Nicolosi, E.; Priestman, M.; Tremper, A.H.; Green, D.C. PM2.5 on the London Underground. Environ. Int. 2020, 134, 105188. [Google Scholar] [CrossRef]
  39. Johansson, C.; Johansson, P.-Å. Particulate matter in the underground of Stockholm. Atmos. Environ. 2003, 37, 3–9. [Google Scholar] [CrossRef]
  40. Mohsen, M.; Ahmed, M.B.; Zhou, J.L. Particulate matter concentrations and heavy metal contamination levels in the railway transport system of Sydney, Australia. Transp. Res. D Trans. Environ. 2018, 62, 112–124. [Google Scholar] [CrossRef]
  41. Li, T.T.; Bai, Y.H.; Liu, Z.R.; Li, J.L. In-train air quality assessment of the railway transit system in Beijing: A note. Transp. Res. D Trans. Environ. 2007, 12, 64–67. [Google Scholar] [CrossRef]
  42. Park, D.U.; Ha, K.C. Characteristics of PM10, PM2.5, CO2 and CO monitored in interiors and platforms of subway train in Seoul, Korea. Environ. Int. 2008, 34, 629–634. [Google Scholar] [CrossRef] [PubMed]
  43. Kam, W.; Cheung, K.; Daher, N.; Sioutas, C. Particulate matter (PM) concentrations in underground and ground-level rail systems of the Los Angeles Metro. Atmos. Environ. 2011, 45, 1506–1516. [Google Scholar] [CrossRef]
  44. Cartenì, A.; Cascetta, F.; Campana, S. Underground and ground-level particulate matter concentrations in an Italian metro system. Atmos. Environ. 2015, 101, 328–337. [Google Scholar] [CrossRef]
  45. Barmparesos, N.; Assimakopoulos, V.D.; Assimakopoulos, M.N.; Tsairidi, E. Particulate matter levels and comfort conditions in the trains and platforms of the Athens underground metro. AIMS Environ. Sci. 2016, 3, 199–219. [Google Scholar] [CrossRef]
  46. Şahin, Ü.A.; Onat, B.; Stakeeva, B.; Ceran, T.; Karim, P. PM10 concentrations and the size distribution of Cu and Fe-containing particles in Istanbul’s subway system. Transport. Res. D Trans. Environ. 2012, 17, 48–53. [Google Scholar] [CrossRef]
  47. Cohen, D.D.; Atanacio, A.; Crawford, J.; Siegele, R. Ion beam techniques for source fingerprinting fine particle air pollution in major Asian-Pacific cities. Nucl. Instr. Meth. Phys. Res. Sect. B 2020, 477, 122–132. [Google Scholar] [CrossRef]
  48. Salma, I.; Maenhaut, W.; Zemplén-Papp, É.; Záray, G. Comprehensive characterisation of atmospheric aerosols in Budapest, Hungary: Physicochemical properties of inorganic species. Atmos. Environ. 2001, 35, 4367–4378. [Google Scholar] [CrossRef]
  49. Pipal, A.S.; Singh, S.; Satsangi, G.P. Study on bulk to single particle analysis of atmospheric aerosols at urban region. Urban Clim. 2019, 27, 243–258. [Google Scholar] [CrossRef]
  50. Angyal, A.; Kertész, Z.; Szikszai, Z.; Szoboszlai, Z. Study of Cl-containing urban aerosol particles by ion beam analytical methods. Nucl. Instr. Method Phys. Res. 2010, 268, 2211–2215. [Google Scholar] [CrossRef]
Figure 1. Map of the investigated transport lines: the location of the ATOMKI UB site and the Hungarian Air Quality Monitoring Network (HAQN) sites in Debrecen; the railway line between Debrecen and Budapest; the M3 metro line in Budapest.
Figure 1. Map of the investigated transport lines: the location of the ATOMKI UB site and the Hungarian Air Quality Monitoring Network (HAQN) sites in Debrecen; the railway line between Debrecen and Budapest; the M3 metro line in Budapest.
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Figure 2. Indoor EF ratios in different vehicles in PMfine and PMcoarse fractions in 2014.
Figure 2. Indoor EF ratios in different vehicles in PMfine and PMcoarse fractions in 2014.
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Figure 3. Silicium (a); sulphur (b); chlorine (c) mass size distributions in different vehicles in 2014.
Figure 3. Silicium (a); sulphur (b); chlorine (c) mass size distributions in different vehicles in 2014.
Atmosphere 13 00692 g003aAtmosphere 13 00692 g003b
Figure 4. The determined particle types by scanning electron microscopy: (a) Al-, Si-, K- and Mg-rich amorphous particles (old tram, 2012); (b) Fe-rich filings (Metro, 2014); (c) cubic NaCl particle (old tram, 2012); (d) fibrous C–O-rich particle (IC train, 2014); (e) K-rich fibers (old tram, 2014).
Figure 4. The determined particle types by scanning electron microscopy: (a) Al-, Si-, K- and Mg-rich amorphous particles (old tram, 2012); (b) Fe-rich filings (Metro, 2014); (c) cubic NaCl particle (old tram, 2012); (d) fibrous C–O-rich particle (IC train, 2014); (e) K-rich fibers (old tram, 2014).
Atmosphere 13 00692 g004
Table 1. Vehicle types, sampling dates, the lengths of the lines (in km), the applied sampling devices and the measured size fractions.
Table 1. Vehicle types, sampling dates, the lengths of the lines (in km), the applied sampling devices and the measured size fractions.
Mode of TransportVehicle TypeDateNP Two-Stage SamplerPMcoarse; PM2.5Sioutas Four-Stage ImpactorFour Size Fractions *DateNP Two-Stage SamplerPMcoarse; PM2.5Sioutas Four-Stage ImpactorFour Size Fractions
Local busVOLVO B9L—ALFA CIVIS 12–1827 September 2012X **X--12 March 2014XXXX
TrolleybusGANZ SOLARIS TROLLINO 1225 September 2012XX--31 March 2014XXXX
IC trainBP 20–671 October 2012XX--20 March 2014XXXX
Old tram (Tram-line 1)KCSV—6 1S24 September 2012XX--2 April 2014XXXX
New tram (Tram-line 2)CAF Urbos 3-- --13 March 2014XXXX
MetroEv3-- --20 March 2014XXXX
* Four size fractions: 0.25–0.50, 0.50–1.00, 1.00–2.50 and 2.50–10.0 μm. ** X means the sampler was applied in the campaign.
Table 2. The PMfine+coarse, PM2.5, and PMcoarse concentrations (in µg m−3) in different vehicles and PM10 concentrations measured at two automatic measurement stations of the HAQN in Debrecen: HAQN 1 (urban background) and HAQN 2 (urban traffic).
Table 2. The PMfine+coarse, PM2.5, and PMcoarse concentrations (in µg m−3) in different vehicles and PM10 concentrations measured at two automatic measurement stations of the HAQN in Debrecen: HAQN 1 (urban background) and HAQN 2 (urban traffic).
DateLocationPMcoarsePM2.5PMfine+coarseHAQN1 PM10HAQN2 PM10ATOMKI PM2.5–10ATOMKI PM2.5ATOMKI PM10
(µg m−3)
2012Local bus2241683924946---
Trolleybus159301892824---
IC train35419373-----
Old tram180121923431---
2014Local busno data52-253361420
Trolleybus1601042642238142034
IC train18266248-----
Old tram2481453932430132336
New tram2917462831191736
Metro288189477-----
Table 3. Comparison of the PM10 and PM2.5 concentrations with other studies.
Table 3. Comparison of the PM10 and PM2.5 concentrations with other studies.
Vehicle TypePM10 (µg m−3) *PM2.5 (µg m−3)
Present study *Non-A/C Local bus (2012)392168
Non-A/C Local bus (2014)no data52
Non-A/C Trolleybus (2012)18930
Non-A/C Trolleybus (2014)264104
Old tram (2012)19212
Old Tram (2014)393145
New tram (2014)4617
IC-train (2012)37319
IC-train (2014)24866
Metro (2014)477189
Hong KongTram110–24068–163
Non-A/C bus80–16178–109
Railway41–8929–68
MunichBus110–165-
Tramav. 161 **-
Barcelona Metro-av. 37; 42
Bus-av. 48; 49; 39
Tram + walking-av. 27; 29; 35
Lisbon Bus-av. 28
Metroav. 84av. 38
Debrecen *Old tram—heating s. (2017–18) ***70–17631–54
Old tram—non-heating s. (2018) ***69–15229–50
New tram—heating s. (2017–18)36–15317–49
New tram—non-heating s. (2018)46–7122–49
* PM10 means in our results the amount of PMcoarse + PMfine fractions. ** av. means the average concentration. *** Heating s. means heating season, non-heating s. means non-heating season.
Table 4. Elemental concentration, mineral dust concentration and enrichment factor (EF) in PMcoarse and PM2.5 fractions in different vehicles in 2012.
Table 4. Elemental concentration, mineral dust concentration and enrichment factor (EF) in PMcoarse and PM2.5 fractions in different vehicles in 2012.
Local BusTrolleybusOld TramIC Train
ElementPMcoarsePM2.5PMcoarsePM2.5PMcoarsePM2.5PMcoarsePM2.5
(ng m−3)EF(ng m−3)EF(ng m−3)EF(ng m−3)EF(ng m−3)EF(ng m−3)EF(ng m−3)EF(ng m−3)EF
Al50351139023615111303272511350520851179010
Si21,16011570112,3201680116,65011730223100.47551
P1401<DL *-1402<DL-651<DL-<DL-<DL -
S765251020540750451550130076555197020458851659451520
Cl985653035929510754570122517850105915340120395
K32251425316401245318902215380022055
Ca881526002666023700.3515023052256054955
Ti650-40-380-25-300-20-120-15-
V301<DL-301<DL1201<DL-<DL-1515
Cr10010<DL-<DL -<DL104010<DL-1510<DL-
Mn1752253952153160530106035020
Fe843511070349601600213,860521701072505569040
Nmd. Fe **1050-615-640-315-10,450-1945-5885-5520-
Cu255404511080204017060202085302525185
Zn19525357027060206517545208518513075445
Ba295540102601010520010<DL-21525255255
Pb5035<DL-253020320<DL-<DL-<DL-351155
PM ***224-168-159-30-180-12-354-19-
Mineral dust83,250-8120-51,610-5345-55,980-7330-15,710-6235-
* <DL: the elemental concentration was lower than the detection limit. ** Non-mineral dust Fe component. *** PM expressed in µg m−3.
Table 5. Elemental concentration, mineral dust concentration and enrichment factor (EF) in PMcoarse fraction in different vehicles in 2014; outdoor concentration (ATOMKI monitoring site) with EF and indoor/outdoor (I/O) ratio.
Table 5. Elemental concentration, mineral dust concentration and enrichment factor (EF) in PMcoarse fraction in different vehicles in 2014; outdoor concentration (ATOMKI monitoring site) with EF and indoor/outdoor (I/O) ratio.
ElementLocal BusEFOutdoorEFI/OTrolleybusEFOutdoorEFI/OOld TramEFOutdoorEFI/ONew TramEFOutdoorEFI/OIC TrainEFMetroEF
(ng m−3) (ng m−3) (ng m−3) (ng m−3) (ng m−3) (ng m−3) (ng m−3) (ng m−3) (ng m−3) (ng m−3)
Al18,1000.430026027850.35201524700.3510153000.2485111000.1<DL-
Si88,2001395122315,6901120011331,69019851326665113501513800.418300.3
P2650.410327500.41015<DL-51-<DL-101-40367530
S213014609636715243201762610252151173125283651500.328095<DL-
Cl4670601550311850581517566955820203520592151314160110570225
K10,200190111319451240181850116511139513802129014601
Ca30,40011802169752026002136795243021622554580241010223853
Ti2620-10-258495-30-17405-30-1475-40-250-85-
V651<DL *--<DL-<DL--<DL-<DL--<DL-<DL--<DL-<DL-
Cr1152<DL--<DL-<DL--657<DL--<DL-<DL--<DL-12060
Mn68515313710011021025031012540215237052020110
Fe31,600112512535740153021119,22044151462085260013923015207,000215
Nmd. Fe **1825----115----14,620----1235----8660-206,035-
Cu180521310612019515243575107<DL-1013-1525655615
Zn3809211223165215123385135817201710102851054535
Br3524<DL--<DL-<DL--<DL-<DL--<DL-<DL--<DL-851760
Ba96035419222041551514031021435420422304081085
Pb160211411302014108426554534133013510973<DL-3601435
PM ***no data-6--160-14-11248-13-1929-19-1.5182-288-
Mineral dust327,145-1985--61,035-5540--91,950-4550--19,900-6075--5865-9430-
* <DL: the elemental concentration was lower than the detection limit. ** Non-mineral dust Fe component. *** PM expressed in µg m−3.
Table 6. Elemental concentration, mineral dust concentration and Enrichment Factor (EF) in PM2.5 fraction in different vehicles in 2014; outdoor concentration (ATOMKI monitoring site) with EF and indoor/outdoor (I/O) ratio.
Table 6. Elemental concentration, mineral dust concentration and Enrichment Factor (EF) in PM2.5 fraction in different vehicles in 2014; outdoor concentration (ATOMKI monitoring site) with EF and indoor/outdoor (I/O) ratio.
ElementLocal BusEFOutdoorEFI/OTrolleybusEFOutdoorEFI/OOld TramEFOutdoorEFI/ONew TramEFOutdoorEFI/OIC TrainEFMetroEF
(ng m−3) (ng m−3) (ng m−3) (ng m−3) (ng m−3) (ng m−3) (ng m−3) (ng m−3) (ng m−3) (ng m−3)
Al13700.533024305145020.7615114514145131520.54551<DL-
Si538011800.4301030155512414012650.31611601425135050.45050.4
P<DL *-<DL--<DL-<DL--<DL-<DL--<DL-<DL--306<DL-
S5806534576521240700118514371.041500565152518210.92903254457200.65580490410345
Cl2605510402635405127655012742045103523050230390
K8401385102355244550.8340139550.9220247580.51151951
Ca218028012749522252268521501574061652452533902
Ti155110-1630115-245115-315110-1.5201201
V<DL-<DL--<DL-<DL--<DL-<DL--<DL-<DL--1525<DL-
Cr<DL-<DL--<DL-14-<DL-<DL--<DL-<DL--<DL-85185
Mn601531115252345552915552355151050245
Fe30302951326902335223580726021454533003268603010,4700460
Nmd. Fe **1270----350----3070----375----6635-104,475-
Cu904722516359353577012452515<DL-535-2080210840
Zn70282521033575301361.154565351501.31565201300.780250<DL-
Br<DL-2555-<DL-3355-<DL-5530-<DL-2360-<DL-<DL-
Ba9055718301015112<DL-1510-<DL-108-295130505220
Pb<DL-<DL--<DL-<DL--<DL-<DL--<DL-<DL--<DL-1302200
PM ***52-14-4104-20-5145-23-617-17-166-189-
Mineral dust21090-1790--4990-3455--12,260-1980--4360-2820--3190-2115-
* <DL: the elemental concentration was lower than the detection limit. ** Non-mineral dust Fe component. *** PM expressed in µg m–3.
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Papp, E.; Angyal, A.; Furu, E.; Szoboszlai, Z.; Török, Z.; Kertész, Z. Case Studies of Aerosol Pollution in Different Public Transport Vehicles in Hungarian Cities. Atmosphere 2022, 13, 692. https://doi.org/10.3390/atmos13050692

AMA Style

Papp E, Angyal A, Furu E, Szoboszlai Z, Török Z, Kertész Z. Case Studies of Aerosol Pollution in Different Public Transport Vehicles in Hungarian Cities. Atmosphere. 2022; 13(5):692. https://doi.org/10.3390/atmos13050692

Chicago/Turabian Style

Papp, Enikő, Anikó Angyal, Enikő Furu, Zoltán Szoboszlai, Zsófia Török, and Zsófia Kertész. 2022. "Case Studies of Aerosol Pollution in Different Public Transport Vehicles in Hungarian Cities" Atmosphere 13, no. 5: 692. https://doi.org/10.3390/atmos13050692

APA Style

Papp, E., Angyal, A., Furu, E., Szoboszlai, Z., Török, Z., & Kertész, Z. (2022). Case Studies of Aerosol Pollution in Different Public Transport Vehicles in Hungarian Cities. Atmosphere, 13(5), 692. https://doi.org/10.3390/atmos13050692

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