1. Introduction
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The World Health Organization estimated a global mortality of 4.2 million premature deaths due to outdoor air pollution for the year 2019. (1) This number related to particulate matter matches the estimated mortality of dementia (2) (1.62 million including Alzheimer’s disease), road traffic injuries (3) (1.19 million), suicides (4) (700,000), and malaria (5) (608,000) combined, prompting governments to regulate particulate matter with aerodynamic diameters smaller than 10 μm (PM10) and 2.5 μm (PM2.5). Road transport is reported to account for 11% of the total PM10 primary emissions in the European Union, with tire wear as a relevant source. (6) Tire wear emissions are expected to increase because of a persistent trend toward heavier vehicles in conjunction with transport electrification. (7,8) As a result, the European Commission announced the intention to regulate tire wear emissions as part of the upcoming Euro 7 standards, which will be the first emission standard worldwide to move beyond regulating tailpipe emissions. (9)
The prevalence of tires and lack of alternative technologies motivates the study of tire wear as an aerosol emission source and eventually as a health risk, given that toxicological effects have been observed for tire-related airborne particles. (10−12) Our own work has sought to measure tire elemental tracers for source apportionment and quantification of tire particles, (13) which are reported to have sizes ranging from less than 10 nm to more than 100 μm. (14,15) The emission factors of airborne tire wear particles must be estimated such that meaningful health impacts can be studied based on representative exposures. Further, these factors play a critical role in the development of standards for industrial manufacturers and whether environmental policies should be developed targeting tire emissions, such as PM10. The absolute magnitude of mass- and eventually number-based airborne emissions from tires needs to be assessed and critically reviewed by academia, industry, and policymakers.
The currently reported emission factors for tire wear PM10 from light-duty vehicles range over a span of 5 orders of magnitude: from 0.00027 to 44 mg/vkm, expressing the mass of emitted tire wear per vehicle-kilometer. (16,17) For context, the European Union (18) and the United States (19) currently regulate exhaust PM from cars to 4.5 mg/vkm and 1.9 mg/vkm, respectively. In other words, one end of the reported range indicates that the mass of tire wear PM10 is relatively insignificant, whereas the other end exceeds the limits for exhaust emissions 10-fold. If there is no consensus, what do the tire wear PM10 emission factors of 6.4 mg/vkm from the European Environmental Agency (20) (EEA) or 5.3 mg/vkm from the United States Environmental Protection Agency (21,22) (EPA) signify? Motivated by this question, we summarized emission factors reported in the primary literature and compared them with emission factors from scientific reviews, reports, textbooks, and emission inventories. We sought to use the findings to assess the contribution of tire wear to air pollution and discuss a potential discrepancy between measured and propagated emission factors.
2. Methods and Materials
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Search engines (Google, Scopus, Web of Science, and ResearchGate) were used to identify primary studies estimating emission factors of airborne tire wear particles. Additionally, secondary studies summarizing such factors were identified, along with the references cited by these studies. Both spellings “tyre” and “tire” were considered. Research institutes, environmental agencies, local authorities, and authors of key publications were contacted by e-mail or telephone to obtain additional insights in the case of ambiguities or when a study was not accessible. Our team of authors consisted of native English and German speakers, allowing us to read key publications of both languages. Emission factors from studded tires were excluded due to interference from road wear. Similarly, results were excluded that referred to emergency braking or when primary literature authors expressed concern due to interferences from resuspension caused by insufficient cleaning prior to that run.
2.1. Definitions
In this study, we define tire wear PM10 or tire wear particles (TWP) as particles directly emitted from tires due to wear. Brake wear particles (BWP) and road wear particles are the equivalents for the brakes and roads, respectively. Our definition of TWP excludes the contribution from road wear particles. The total TWP and road wear particles is defined as tire and road wear particles (TRWP), which represent a mixture of TWP, road wear particles, and TWP incrusted with road wear particles. TWP, BWP, or TRWP may settle and be resuspended by wind or the wake of passing vehicles. We define resuspended particles as “resuspension” and not as TWP, BWP, or TRWP. These definitions (illustrated by Figure 1) avoid double counting and agree with the practice of EEA (20) and EPA. (21,22) However, different definitions can be found for tire wear in the literature. For example, Piscitello et al. (23) defined tire wear particles as tire wear including road wear, in contrast to Baensch-Baltruschat et al. (24) who excluded road wear. Similarly, Hicks et al. (25) and Beddows et al. (26) excluded road wear in their usage of the term “tire wear”, while including both freshly emitted and locally resuspended tire wear particles.
Figure 1
Figure 1. Illustration of our definitions for tire wear particles (TWP), tire and road wear particles (TRWP), brake wear particles (BWP), and “resuspension”. These definitions for TWP, TRWP, and BWP are limited to freshly emitted particles, while any resuspended particles are classified as “resuspension” to avoid double counting.
Some studies have quantified the tire contribution within TRWP, in which case we have taken the tire mass fraction as TWP. Similarly, particulate emissions were classified as TWP when a tire on a wear resistant road surrogate like sandpaper was abraded. All emission factors are given as mass per distance (mg/vkm) expressing milligrams of emitted particles per kilometer driven by a vehicle with four tires. If a reference reported emission factors per tire, it was multiplied by 4 to obtain comparable emission factors, assuming identical emissions for all tires. Total suspended particles (TSP) correspond to airborne particles regardless of the size. PM10 aerosolization efficiency indicates the mass fraction of tire wear becoming airborne PM10.
Relevant primary literature is defined as studies estimating mass-based emission factors for airborne TWP, TWP+BWP, or TRWP based on their own experiments, aimed at reflecting typical driving conditions. A publication was considered secondary literature (referred to as reviews) when elsewhere reported emission factors were quoted, and no independent measurements of airborne tire particles were performed. A publication was classified as a nonrelevant primary study when airborne particles were measured, but no mass-based emission factors for airborne tire wear were reported. A citation was considered to be inaccurate if the quoted information was not contained in the cited reference.
3. Results and Discussion
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3.1. Emission Factors in the Primary Literature
The accuracy and representativeness of emission factors for airborne tire wear depend greatly on the underlying methodology, as well as the conditions that prevailed during the experiment. Different approaches are subject to different limitations and uncertainties, as described in the Supporting Information (Text S1). This section does not provide a best estimate for a representative emission factor of airborne TWP. Instead, it gives an overview of the emission factors proposed within primary research.
A total of 26 primary studies were found that reported 63 mass-based emission factors for airborne TWP, TRWP, or TWP+BWP from light-duty vehicles or mixed fleets. The term “mixed fleet” refers to traffic characterized by a mixture of different vehicles, such as motorcycles and light- or heavy-duty vehicles. Some authors quantified directly emitted tire-related particles, while others further included the resuspension of these particles. In two studies, no emissions of airborne TWP could be quantified. (27,28) A few studies additionally examined two-wheelers, three-wheelers, or heavy-good vehicles, whose emission factors were excluded for better comparability. Most authors reported emission factors for PM10, whereas only one study (29) quantified PM2.5 and not PM10. For better comparability, PM10 emissions are targeted hereafter. The reported emission factors should be discussed with respect to the individual limitations and uncertainties of the used approaches. Such an evaluation requires the primary literature to be presented in a comparable yet differentiated manner, which we attempt to provide in Table 1. Some factors were converted by us according to the overview in the Supporting Information.
Table 1. Emission Factors in Primary Literature for Airborne TWP, TRWP, and TWP+BWP of Light-Duty Vehicles with Unstudded Tires if Not Otherwise Stated
In summary, the identified primary studies reported 35 TWP PM10 emission factors ranging from 0.00093 to 11.0 mg/vkm with a mean of 2.7 mg/vkm and median of 1.1 mg/vkm when including estimates for mixed fleets and resuspended TWP. When excluding the estimates for resuspended TWP, a lower mean of 1.1 mg/vkm and median of 0.2 mg/vkm is obtained. The resuspension of TWP may contribute more to PM10 than the direct emissions, considering the differences between studies that excluded or included resuspended TWP (Table 1). The mean and median factors for TRWP PM10 from light-duty vehicles were 2.7 and 1.5 mg/vkm, respectively. The mass dominating airborne material resulting from the tire–road interaction may abrade from the roadway rather than from the tire. This hypothesis from Pierson and Brachaczek (31) in 1974 is supported by the results of various studies that chemically characterized airborne TRWP. (32,33,35,37,39,43,55−57) When considering elsewhere reported tire tread losses of ∼100 mg/vkm for light-duty vehicles under typical conditions, (17,20) the available data, including the most conservative estimates, imply tire wear PM10 aerosolization efficiencies below 10% or even below 1%.
Although mean and median are suitable metrics to describe typical emission factors within the primary (or secondary) literature, they are less suitable to identify the most accurate emission factor. Note that the means and medians in this section do not reflect individual uncertainties, limitations, and varieties between different conditions, such as speed or load. However, uncertainties, including systematic deviations, are generally not quantified. The identification of the most accurate factor is, therefore, subject to scientific discussions. For our study, we retained all estimates from Table 1. Consequently, our mean and median emission factors are a general description of primary research and not a best estimate of a true emission factor.
The emission factors in Table 1 range over 4 orders of magnitude, which can partly be explained as not all estimates refer to the same emission type. Nevertheless, a substantial variety can still be observed, even within one emission type. For example, considering directly emitted tire wear PM10 of light-duty vehicles, estimates ranging from 0.00093 mg/vkm (Aatmeeyata et al. (39)) to 6.1 g/vkm (Rauterberg-Wulff (45)) can be found. The remaining paragraphs in this section provide important methodological details attempting to explain part of the variety.
The lowest TWP PM10 emission factors (<0.1 mg/vkm) were reported by Kim and Lee (52) and Aatmeeyata et al. (39) It should be borne in mind that both studies used abnormally low lateral loads due to experimental limitations. Similarly, the worst case estimate of 0.80 mg/vkm from Gehrig et al. (35) was derived using a relatively low load, which corresponds to approximately one-third of a car. Aatmeeyata et al. and Gehrig et al. corrected for the low load assuming a linear relationship between load and tire wear PM10 emissions. However, the validity of this assumption is unclear. Generally, tire wear on nonasphalt surfaces like sandpaper (Kim and Lee) or concrete (Aatmeeyata et al.) could be drastically different to asphalt. Additionally, Schläfle et al. (57) reported the relevance of third-body particles, since a complete lack of dirt between the tire and the road was observed to prevent the release of fine TRWP. It is further unclear whether electric charges impair the collection efficiency of airborne TWP. These considerations could explain low emission factors compared to other studies.
On the other side, the six highest emission factors (ranging from 6.3 to 11.0 mg/vkm) for tire wear PM10 were reported by Hicks et al. (25) and Beddows et al. (26) This can partly be explained as both studies used a similar methodology based on roadside increments to quantify the total of directly emitted and locally resuspended TWP. Additionally, both studies used zinc as a tracer, assuming that 50% by mass of the detected zinc originated from tire wear. This assumption dates back to the year 1974 when Pierson and Brachaczek (31) used the same zinc specificity for tire wear TSP. However, the specificity of zinc for PM10 could be lower than generally assumed according to the observations from Wang et al. (58) and the caution urged by Chen et al. (59) An overestimated zinc specificity could lead to overestimated emission factors. This may explain why Hicks et al. did not observe a decrease of TWP emissions during the reduced traffic volumes associated with the coronavirus pandemic (unlike BWP).
Panko et al. (42) quantified roadside tire wear PM10 including resuspended TWP in Paris (France) using rubber pyrolysis products as tracers. The authors calculated an emission factor of 2.4 mg/vkm using a box model in combination with traffic data from the Ile-de-France region. It would be misleading to describe this region as urban, although its center is urban. The employed model assumes that the measured TWP concentration at the roadside in Paris is representative for Ile-de-France. However, it seems that the TWP concentrations near the emission source are higher than, for example, in forests or on agricultural land, (60) thus indicating that the emission factor of Panko et al. potentially represents a rather conservative estimate.
The highest estimate (6.1 mg/vkm) for tire wear PM10 without resuspension was found in the doctoral thesis from Rauterberg-Wulff (45) (1998). The author has provided us with a printed copy, since this dissertation, written in German, is unavailable online. Its emission factor is widely quoted and forms the rationale of the current tire wear PM10 emission factors from both EPA and EEA (see Text S2). To make it more accessible, we have briefly summarized the underlying methodology in the Supporting Information (Text S3). The methodology is based on a chemical mass balance, assuming no contribution from road wear to carbon in PM10. This assumption seems uncertain in view of the considerations in the Supporting Information (Text S3), implying that the estimate of 6.1 mg/vkm is potentially overestimated.
3.2. Comparison with Secondary Literature
A total of 14 reviews were identified that have summarized mass-based emission factors for airborne tire wear: seven reviews (16,17,23,24,61−63) published in peer-reviewed scientific journals, three reports (64−66) from research institutes, one chapter (67) of a textbook, one report (68) from the EPA, one report (69) affiliated with the European Union, and one Web site (70) affiliated with the United Nations. In all reviews combined, a total of 135 emission factors for airborne TWP, TRWP, or TWP+BWP were found, including duplicates, as multiple reviews have quoted emission factors from the same sources. The reviews did not differentiate between directly emitted and resuspended tire-related particles. Similarly, they did not differentiate between light-duty vehicles and mixed fleets. For better comparability with primary studies, we excluded emission factors for PM2.5 or vehicles other than light-duty vehicles. A table of all considered emission factors is provided in the Supporting Information. Note that the EPA and EEA use emission factors for tire wear PM10 from light-duty vehicles to derive factors for other vehicles and PM2.5 (Text S2).
Notably, clear definitions for “tire wear” were only found in 3 of 14 reviews, while the others provided no definitions or used inconsistent definitions. In the latter cases, we have classified the emission factors as TWP, since the factors were presented in a context characterized by the word “tire” in combination with the absence of the words “road”, “pavement”, “asphalt”, or “resuspension”. This explains why 129 of the 135 identified emission factors from the secondary literature are listed as TWP PM10, whereas only 35 of the 58 PM10 emission factors from primary research referred to TWP (Table 2).
Table 2. Emission Factors (Light-Duty Vehicles and Mixed Fleets) for PM10 from TWP and TRWP According to Primary Literature (prim. lit.) and Secondary Literature (sec. lit)
The emission factors for TWP PM10 reported by secondary literature ranged from 0 to 44 mg/vkm with a mean of 6.5 mg/vkm and median of 6.1 mg/vkm. These emission factors are in good agreement with the emission factor of 6.4 mg/vkm from EEA (20) and 5.3 mg/vkm from EPA (21,22) for light-duty vehicles. However, the mean from secondary literature is 2 times and the median is 6 times higher than the equivalents from the primary literature including studies with resuspended TWP. When excluding studies with resuspended TWP, the secondary literature reports 6 times higher means and 30 times higher medians than primary research. Similarly, the upper end of the TWP range reported by the reviews is 4 times higher than the highest estimate found within primary research.
A detailed comparison between the primary and secondary literature was performed to assess the underlying reasons behind the discrepancy identified in Table 2. For example, the reviews may have quoted studies that we have missed, or we may have included studies that were excluded by the reviews due to high uncertainties. Similarly, the factors in secondary literature may result from “worst case” emission factors implemented for regulatory purposes. To elucidate these hypotheses, we have assessed the citations from the reviews according to the tire wear definitions in these reviews. The references cited by the reviews were classified as either relevant primary literature, nonrelevant primary literature, secondary literature, or unknown in case the cited reference was not accessible for us (see definitions for the criteria). Additionally, the accuracies of the citations were classified as either accurate, inaccurate, or unknown. Multiple emission factors from one source quoted by one review were counted as one citation. A detailed table of all citations is provided in the Supporting Information, clarifying the classification for all citations and references.
The reviews made a total of 107 citations to 34 different references, whereof we could read all except for 2. The availability of Keuken et al. (71) is unclear according to correspondence with one of the authors and the issuing research organization. The report of ten Broeke et al. (72) appears to be secondary literature, albeit written in a language we do not comprehend (Dutch). The reviews did not quote references that we have missed. Figure 2 provides an overview of the analyzed reviews, citations, references, and uncited relevant primary studies.
Figure 2
Figure 2. Overview of all 107 citations from 14 reviews to 34 references regarding emission factors for airborne tire wear particles. Accurate and inaccurate citations are highlighted by solid green and dashed red arrows, respectively.
The reviews referred to relevant primary literature in 56 of 107 citations, while 34 referred to secondary literature, 12 to nonrelevant primary literature, and five citations were unknown. In 13 of 14 cases, the reviews presented an undifferentiated mix of emission factors from primary and secondary research, which may introduce a bias as frequently quoted factors could be given unproportional importance. Many of the cited references like CEPMEIP (73) or the United Kingdom National Atmospheric Emissions Inventory (74) (NAEI) are different versions of the same source and are somehow linked to the EMEP/EEA emission inventory guidebook (20) from the European Union. NAEI quotes the emission factors from the guidebook, (75) which in turn cites the initially mentioned CEPMEIP database (base year 1995), which in turn was written under the same program as the guidebook. CEPMEIP is not peer-reviewed and does not provide references for TWP. Its developers were unable to explain how the tire emission factors were derived when we contacted them by email. Today’s tire wear emission factors from the EEA and EPA rely on the same rationale from the year 2003 (outlined in Text S2), implying that 19 citations from the reviews to secondary literature are based on two references: EMEP/EEA and CEPMEIP. Both references are linked to each other and were developed 20 years ago. This observation was not mentioned by the 14 reviews.
We could in 24% of the citations confirm that they accurately referred to relevant primary literature. Of the 107 citations, 56 referred to relevant primary literature, whereof 30 were considered inaccurate and 26 were accurate. Inaccurate citations were found in 13 of 14 reviews (Figure 3). The inaccuracy was attributable to confusion with different or unclear definitions for tire wear (TWP, TRWP, or TWP+BWP), units (per tire or vehicle; milligram or microgram), and particle size (PM10 or PM2.5). Some reviews quoted factors that were not stated by the reference, quoted references that did not estimate tire emission factors, or made assumptions that contradicted the cited references. Ideally, all pie charts in Figure 3 are blank with green borders (not filled or semifilled).
Figure 3
Figure 3. Illustration of the citations from the 14 reviews. Every pie chart represents one review. The bar chart refers to the total of all of the reviews. References that were not considered by the reviews are colored light and dark gray.
Uncited references were examined in addition to the existing citations. In total, only 34% of the relevant primary studies that could have been quoted were quoted by the reviews. The 14 reviews combined did not make a total of 81 possible citations to relevant primary studies, although the primary literature was published before the reviews (referred to as “uncited”). Additionally, eight of the reviews made 30 citations to relevant primary studies without quoting the emission factors for unexplained reasons (referred to as “cited, but excluded”). The emission factors from 11 relevant primary studies were not quoted in any of the 14 reviews: Pierson and Brachaczek (31) (1974), Allen et al. (50,51) (2006, 2007), Gustafsson et al. (33) (2009), Gehrig et al. (35) (2010), Zhang et al. (46) (2020), Beji et al. (34) (2021), Hicks et al. (25) (2021), Farahani et al. (40) (2022), De Oliveira et al. (44) (2024), Khardi (38) (2024), and Fang et al. (29) (2024). The mean emission factors for tire wear PM10 from “uncited” and “cited, but excluded” references were 1.6 and 1.1 mg/vkm, respectively. The corresponding medians were both relatively low at 0.2 mg/vkm. Note that all known types of methodologies are represented in the unquoted studies: indoor road simulators as well as real-world experiments such as on-road, roadside, and tunnel measurements.
The numerous inaccurate citations prompted us to investigate whether they were random or systematic. Figure 4 illustrates a quantitative comparison of 130 emission factors from 14 reviews with 61 emission factors from 25 relevant primary studies. For comparison, TWP PM10 emission factors for light-duty vehicles from the EPA and medians from the primary literature including and excluding studies with resuspended TWP are shown as solid, dashed, and dotted horizontal lines, respectively.
Figure 4
Figure 4. Emission factors for light-duty vehicles and mixed fleets with unstudded tires: (A) TWP PM10, (B) TRWP PM10, and (C) TWP TSP and TWP+BWP PM10. Accurate and inaccurate citations to primary literature, citations to secondary literature, and estimates from primary literature are shown as squares, triangles, circles, and crosses, respectively. The year refers to the year of publication from the primary study or the cited reference.
Surprisingly, more than half of the emission factors within relevant primary literature, as defined by us, have been exclusively misquoted or not quoted in the reviews. In total, 47 triangles, 30 squares, 38 crosses without, and 23 crosses with corresponding squares were found (Figure 4). Ideally, every cross would be framed by a square, while no triangles would appear. Notably, the TWP PM10 mean of 8.5 mg/vkm for the triangles (inaccurately quoted primary studies) was higher than 32 of 35 emission factors reported by primary studies. The mean emission factor of 6.5 mg/vkm for tire wear PM10 according to the reviews decreases to 4.1 mg/vkm when excluding primary references that did not estimate mass-based tire wear PM10 emission factors and when replacing the mistaken figures with the corresponding measured figures. The mean further decreases to 2.5 mg/vkm when excluding secondary references. When including ‘cited, but excluded’ references, an emission factor of 1.7 mg/vkm is obtained, which falls between our mean tire wear PM10 emission factors of primary literature excluding (1.1 mg/vkm) and including (2.7 mg/vkm) studies with resuspended TWP. This analysis demonstrates three aspects: 1) misquotations and 2) frequent citations to other secondary literature have introduced systematically higher emission factors compared to the underlying primary sources, which 3) represented the upper end of primary literature. Note that the demonstration of aspects 1) and 2) is independent from our selection of primary studies, as it relies on the studies selected by the reviews. For aspect 3), the reviews did not clarify why sources with lower emission factors were systematically excluded, implying a selection bias.
The significance of the bias introduced by misquotations, frequent citations to other secondary sources, and exclusion of low emission factors is further illustrated in Figure 5, which visually demonstrates four aspects for tire wear PM10: 1) high emission factors in the reviews are more likely misquoted than low ones. Most extreme cases are the highest emission factors for tire wear PM10 around 40 mg/vkm from two reviews quoting Kupiainen et al., (32) although this reference measured 200 times lower emission factors of ∼0.17 mg/vkm. 2) The differences between the factors stated by the reviews and the cited sources are more likely to be positive than negative. In other words, misquotations systematically introduced a bias toward higher and not lower emission factors. 3) Although they are relatively accurate, the citations from the reviews to other secondary sources are 2–3 times higher than the corrected primary studies selected by the same reviews. 4) The majority of the ‘cited, but excluded’ emission factors are below 1 mg/vkm and therefore not in agreement with the other factors stated by the reviews, which may explain why these factors were not considered.
Figure 5
Figure 5. Histogram of emission factors for tire wear PM10 in the reviews referring to primary sources (green background) or other secondary sources (blue background). Some primary sources were found by the reviews but not quoted for unexplained reasons (gray background). Differences between reviews and the cited sources (“corrected”) are shown in red to visualize the bias introduced by misquotations.
Tire wear PM10 emission factors exclusively below EPA’s factor for light-duty vehicles (5.3 mg/vkm) were reported by 13 of 16 primary studies, in 7 studies by 1 order of magnitude or more. Of 35 TWP PM10 emission factors based on on-road, roadside, tunnel, and road simulator experiments with different road surfaces (concrete, asphalt, sandpaper) and different driving styles, only 7 emission factors were found high enough to support tire wear PM10 emission factors of ≥5.0 mg/vkm, whereof 6 were estimated for mixed fleets including resuspended TWP. Additionally, only 6 of 26 factors for TRWP PM10, TWP+BWP PM10, and TWP TSP were higher than 5.0 mg/vkm despite the mass contributions from bigger or nontire particles (Figure 4B,C). This comparison between measured and propagated emission factors questions the validity of currently established emission factors as a best estimate for TWP PM10 from light-duty vehicles, including the factors of EPA (21,22) with 5.3 mg/vkm and EEA (20) with 6.4 mg/vkm.
3.3. Critical Analysis of Selected Examples
We elaborate on selected examples to demonstrate the discrepancy between primary and secondary research. For example, some citations referred to references that did not report tire emission factors (EMPA (76)) or no emission factors at all (Suleiman et al., (77) Keuken et al. (78)). Keuken et al. (2010) were potentially cited as an attempt to find Keuken et al. (71) (1999), which may have been confused with a more recent study from the same lead author. It is unclear why numerous studies quoted EMPA at 13 mg/vkm for tire wear PM10, as we were unable to locate this figure in the report, whose final version is exclusively available in German language. Our perception has been confirmed by the lead author of that study, who emphasized by email that no estimates for tire emission factors have been made, as further stated by other authors (79) of the same research institute. Nevertheless, 8 of 14 reviews quoted EMPA (76) with an emission factor of 13 mg/vkm. Boulter (66) (2005) indicated to have cited EMPA indirectly through Lükewille et al. (64) (2001), which was the first publication quoting EMPA (2000) with 13 mg/vkm to our knowledge. The origin of this figure is unclear according to e-mail correspondence with the lead author of the EMPA report and one author of Lükewille et al.
Potentially, the 13 mg/vkm are based on the emission inventory from EPA in 1985, which stated a tire wear PM10 emission factor of 0.002 g/mile/vehicle (= 1.2 mg/vkm). In 1995, the EPA inaccurately quoted this factor as 0.002 mg/mile/tire (= 5 mg/vkm) for the new PART5 emissions model, presumably due to a mix-up of units (Text S4). Incorrect conversion from miles to kilometers (multiplying instead of dividing by 1.61) may have eventually led to 13 mg/vkm, as for example seen in the calculations from Alexandrova et al. in 2007. (51) The citations to EPA with 5 mg/vkm and EMPA with 13 mg/vkm are of great relevance, as they form the rationale behind today’s tire wear PM10 emission factors from both EPA and EEA (Text S2). Note that both agencies use these PM10 emission factors to derive estimates for PM2.5 as well as for vehicles other than light-duty vehicles.
Kupiainen et al. (32) estimated PM10 emission factors of ∼10 mg/vkm resulting from abrasion at the tire and road interface. The authors did not classify these particles as tire or road wear particles. However, 8 of 10 reviews presented these results as emission factors for TWP alone. It would be likely more accurate to interpret the reported emission factors as mainly road rather than tire particles, given that Kupiainen et al. quantified the mineral content in the PM10 fraction to ≥90% (by number). Their chemical mass balance implied average PM10 tire contributions of 1.5% with a maximum of 5%, which was accounted for in one (66) of ten reviews.
Luhana et al. (41) estimated an emission factor of 6.9 mg/vkm for TWP+BWP PM10, which was accurately quoted by 2 of 7 reviews. Surprisingly, the other 5 reviews quoted this study with 7.4 mg/vkm tire wear PM10. This can be explained as Luhana et al. additionally measured a total tire tread loss of 74 mg/vkm, which was used by Grigoratos and Martini (69) to calculate emission factors for tire wear PM10 assuming an elsewhere found aerosolization efficiency of 10%. Notably, the asserted approach using aerosolization efficiency did not appear within Luhana et al., who quantified BWP and TWP combined to a lower emission factor. The other 4 reviews directly cited Luhana et al. with 7.4 mg/vkm for tire wear PM10, although this factor was calculated by Grigoratos and Martini.
Sjödin et al. (43) estimated an emission factor of 2.2 mg/vkm using roadside measurements and a chemical mass balance (CMB). The authors used a source profile for TWP based on TRWP partly generated with studded tires, which introduced considerable uncertainty due to increased road wear, as highlighted by the authors. Surprisingly, 6 of 7 reviews quoted this reference with an emission factor of 3.6 or 3.8 mg/vkm. The origin of these figures is not discernible to us and two authors of Sjödin et al. according to email correspondence. Only one review quoted this study with 2.2 mg/vkm. (24)
3.4. Emergence and Perception of the Discrepancy
Although such efforts must be decoupled from the best measures of airborne TWP emissions, environmental agencies may have intentionally set high emission factors to use a conservative approach for human health protection or induce industry to demonstrate better performance. However, given the prevalence and nature of frequently misquoted emission factors, it seems more plausible that the discrepancy between the primary and secondary literature has arisen unintentionally. Note that most of the mistaken figures are associated with half-truths or terminological inconsistencies, emphasizing the unintentional character of the misquotations.
The three examples of EMPA, (76) Luhana et al., (41) and Sjödin et al. (43) demonstrate how 7 of 14 reviews reproduced emission factors from other secondary studies while citing primary research. This pseudodirect citation practice (referencing the primary study but taking the values from the secondary source) introduced a lack of traceability and prevented others from comprehending where the stated numbers originated. This practice likely emerges from an ambivalence between the challenge of encapsulating a wide research subject, the aversion toward indirect citations, and the temptation to trust reputable secondary sources. Language barriers and difficulties in accessing key publications further exacerbated the persistence of the discrepancy. The potential role of the illusory truth effect (80) shall not be ignored. This phenomenon describes the increased probability to perceive frequently reiterated statements as being more truthful because of the repeated exposure.
No authors were found who considered a discrepancy between primary and secondary literature as a contributing reason for the variety of emission factors found in the literature, demonstrating the novelty of our work. Nevertheless, we have found a few authors who questioned the general opinion in the literature. De Oliveira et al. (44) and Charbouillot et al. (36) proposed that currently established emission factors for airborne tire wear are potentially overestimated. Mennekes and Nowack (79) highlighted that country-based total TWP emission studies lack scientific support. Charbouillot et al., DEFRA, (75) and Harrison et al. (81) implied that emission factors in emission inventories are based on old studies. We are unaware of historical studies stating emission factors of ≥6.4 mg/vkm for tire wear PM10.
3.5. Implications of the Discrepancy
It may matter decisively whether emission factors for tire wear PM10 are, for example, 1 mg/vkm rather than 5 mg/vkm. The latter exceeds the legal limit for exhaust emissions in the European Union (18) and United States, (19) whereas the former remains below these limits (note differences in size and chemical composition between exhaust emissions and TWP). Research focus in academia and industry is determined by current emission factors. The higher the factors, the more motivation is created to conduct research and the more pressure is built up on governments to take measures. Resource management and political agendas should be based on emission factors, reflecting scientific evidence.
Currently established emission factors for airborne TWP are part of national emission inventories and have been widely used for governmental reports (75,82,83) and academic research, (84−92) for example to study the impact from electric vehicles on air pollution. (7,8,93−98) The conclusions of these studies can be misleading if the underlying emission factors are inaccurate. For example, the increased vehicle mass associated with electric vehicles is potentially accompanied by less direct PM10 emissions than those currently anticipated due to the TWP bias.
Primary study authors may compare their results with the literature and conclude that more research is needed due to an alleged lack of consensus. They may not recognize the mistaken emission factors in the secondary literature. For example, Panko et al. (42) contextualized their result (2.4 mg/vkm) by comparing it with a literature benchmark for light-duty vehicles ranging from 2 to 13 mg/vkm for tire wear PM10. Notably, the lower end of this benchmark was 2 times higher than the median emission factor we have found in the primary literature (including studies with resuspended TWP). Similarly, although the factors stated by Hicks et al. (25) (∼6 mg/vkm) and Beddows et al. (26) (∼10 mg/vkm) were the highest emission factors we have found in primary literature, the authors did not express astonishment after comparing their results with emission factors from EEA. On the other side, we found several authors in primary research questioning their results due to “relatively low” emissions in comparison to misquoted emission factors from secondary literature. Woo et al. (15) commented on the discrepancy, stating: ‘this significant difference is presumed to be the reason why laboratory measurements cannot accurately reflect the wear characteristics that occur under real-world driving conditions’. Similar statements were made by other authors, (34,39,41,48,49,52) where “relatively low” emission factors of airborne TWP were contextualized with a secondary literature benchmark. However, this benchmark contained bias, as revealed by our analysis. Authors stating to have measured “relatively high” emissions were not found.
Secondary literature appears to propagate high emission factors while excluding low factors, also due to concerns from primary study authors. These concerns, however, may result from unexpectedly low emissions relative to secondary literature: an example of circular reasoning driven by the illusory truth effect. We observed cases where primary literature authors quoted their own work with misperceived emission factors without being able to explain by email where they originated, demonstrating the dominance of frequently misquoted figures in comparison to the measured figures.
3.6. Limitations
Low emission factors for tire wear PM10 do not imply that TWP is unimportant for air quality as these factors only provide insights into mass metrics for directly emitted particles with aerodynamic diameters below 10 μm. Although TWP are believed to contribute significantly to bigger airborne particles, (99,100) the environmental and health impacts of these bigger particles remain unclear. Additionally, the chemical composition or shape of tire wear PM10 may pose health risks despite potentially low exposures.
Mass-based PM10 emission factors do not accurately reflect tire wear nanoparticles and number-based emissions in general. The mass contribution from ultrafine tire particles to tire wear PM10 could be higher than is currently anticipated. De Oliveira et al. (44) observed that the rubber mass within tire wear PM10 was most dominated by particles smaller than 0.39 μm. Tonegawa and Sasaki (47) stated tire wear PM2.5/PM10 ratios close to unity. During harsh braking, Kim and Lee (52) reported surprisingly high mass concentrations of nanoparticles along with nanoparticle growth due to coagulation and condensation of volatile tire material. Considering the hypothesized role of evaporation and condensation of an unidentified tire component, (15,49,52,53,101−104) it seems plausible that tire wear nanoparticles are semivolatile oil droplets subject to coalescence. Note that Williams and Cadle (30) in 1978 reported roughly equal mass emissions of gaseous tire wear and tire wear TSP.
Finally, the large mass of nonairborne emissions from tires along with unclear effects for the environment and health are concerning and subject of ongoing research. It is critical that studies carefully differentiate between direct and indirect emissions into the atmosphere. Tire particles may degrade, decrease in size, resuspend, and thus become PM10 indirectly. (105) It is reported that the wear-related stress is accompanied by chemical alterations accelerating chemical and biological degradation of TWP, hypothetically due to cleavage of covalent bonds within the rubber framework. (30,106,107) Williams and Cadle showed in 1978 that approximately 30% of styrene–butadiene-rubber in sedimentary TWP is unvulcanized–a fraction 15 to 30 times higher than in tire tread. (30) The breakdown and subsequent evaporation of rubber potentially explains the elevated levels of zinc on the surface of TWP reported by Li et al. (107) This evidence may shift the focus from directly to indirectly emitted airborne TWP, underlining the roles of microplastic emissions and physical removal of curbside dust. Consequently, the assumption of chemical similarities between tire wear particles and tire tread seems to be questionable, which may have relevant implications when quantifying tire wear using chemical tracers. The term TWP is potentially misleading when referring to airborne matter originating from tires, for example, if rubber and filler separate during degradation.
4. Future Perspectives
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Currently accepted mass-based emission factors of airborne TWP do not adequately reflect the scientific evidence from primary research. Secondary literature reports tire wear PM10 emission factors 2 to 30 times higher than primary research, depending on the definition of primary research, the statistical metrics, and whether studies quantifying resuspended TWP are included or not. The discrepancy, dating back to 1995, is due to misunderstandings and misquotations that arose during the knowledge transfer from the primary to secondary literature. Inaccurate quotations have led to an unfounded but prevalent opinion of relatively high emission factors, which permeated emission inventories from environmental agencies and hindered the formation of a scientific consensus. Thus, revision of current tire wear PM10 emission factors and the associated conclusions is warranted. The accuracy of prospective knowledge transfers between primary and secondary research can be improved by using clear terminologies and avoiding pseudodirect citations.
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The authors declare no competing financial interest.
Acknowledgments
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We thank Annette Rauterberg-Wulff (SenMVKU) for providing a physical copy of the dissertation and Jonathan Allen (Allen Analytics), Mats Gustafsson (VTI), Christoph Hüglin (EMPA), Bogdan Muresan (Gustave Eiffel University), Tiago De Oliveira (Gustave Eiffel University), Åke Sjödin (IVL), and Harry ten Brink (TNO) for valuable elaborations on their publications. This work was supported by EPSRC with funding through the Centre for Doctoral Training in Aerosol Science under grant code EP/S023593/1.
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Baensch-Baltruschat, B.; Kocher, B.; Stock, F.; Reifferscheid, G. Tyre and Road Wear Particles (TRWP) - A Review of Generation, Properties, Emissions, Human Health Risk, Ecotoxicity, and Fate in the Environment. Sci. Total Environ. 2020, 733, 137823, DOI: 10.1016/j.scitotenv.2020.137823
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Tyre and road wear particles (TRWP) - A review of generation, properties, emissions, human health risk, ecotoxicity, and fate in the environment
Baensch-Baltruschat, Beate; Kocher, Birgit; Stock, Friederike; Reifferscheid, Georg
Science of the Total Environment (2020), 733 (), 137823CODEN: STENDL; ISSN:0048-9697. (Elsevier B.V.)
A review. In this paper, the current knowledge on tyre and road wear particles (TRWP) is compiled regarding all environmental and health aspects. TRWP generated on roads during driving processes contribute to airborne non-exhaust emissions and are discussed in connection with the microplastic pollution. The major amt. of TRWP consists of coarser heterogenous particles released to road surface, soils and aquatic compartments. The extensive compilation of annual emissions of tyre wear for numerous countries shows per-capita-masses ranging from 0.2 to 5.5 kg/(cap*a). Ecotoxicol. studies revealed effects on aquatic organisms, but test concns. and materials do not reflect environmental conditions. Contribution of tyre wear to PM10 accounts for up to approx. 11%. A recent thorough risk assessment indicates the risk for human health via inhalation to be low, but no information is available on the risk caused by intake via the food chain. Data on degrdn. is scarce and most studies do not use realistic materials and conditions. The only published degrdn. study performed under environmental conditions implies a half-life of tyre rubber particles in soils of 16 mo. For truck tyres, which mainly contain natural rubber, shorter periods were obsd. under optimum conditions in lab. tests. Concns. of tyre wear compiled from environmental monitoring studies show highly variable concns. in road runoff, road dust, roadside soils, river sediments and river water, with a general decrease following the transport paths. However, the behavior of TRWP in freshwater referring to transport, degrdn., and sedimentation is still unclarified. Environmental monitoring of TRWP is still hampered by challenges for analytics. Thus, data on environmental concns. is rare and has mainly exemplary character. Further research is needed with regard to emission factors, development of anal. methods for environmental matrixes, long-period monitoring, fate in surface waters and soils, (eco)toxicol. impacts and degrdn. under realistic conditions.
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Size and Composition of Airborne Particles from Pavement Wear, Tires, and Traction Sanding
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Mineral matter is an important component of airborne particles in urban areas. In northern cities of the world, mineral matter dominates PM10 in spring due to enhanced road abrasion caused by antiskid-tires, including studded tires and traction sanding. In this work, factors affecting formation of abrasion components of springtime road dust were assessed. Traction sanding and tires effect on concns., mass size distribution, and compn. of airborne particles were studied in a test facility. Lowest particle concns. were obsd. in tests without traction sanding. Concns. increased when traction sand was introduced and continued to increase as a function of the amt. of aggregate dispersed. Emissions were also affected by type of tire, traction sand aggregate properties, and driving speed. Aggregates with high fragmentation resistance and coarse grain size distribution had lowest emissions; >90% of PM10 was mineral particles. Mineralogy of dust and source apportionment showed it originated from traction sand and pavement aggregates; the remaining portion was mostly carbonaceous and originated from tires and road bitumen. Mass size distribution was dominated by coarse particles. Contribution of fine and sub-micron size ranges were approx. 15 and 10% of PM10, resp.
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Gehrig, R.; Zeyer, K.; Bukowiecki, N.; Lienemann, P.; Poulikakos, L. D.; Furger, M.; Buchmann, B. Mobile Load Simulators - A Tool to Distinguish between the Emissions Due to Abrasion and Resuspension of PM10 from Road Surfaces. Atmos. Environ. 2010, 44 (38), 4937– 4943, DOI: 10.1016/j.atmosenv.2010.08.020
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Mobile load simulators - A tool to distinguish between the emissions due to abrasion and resuspension of PM10 from road surfaces
Gehrig, R.; Zeyer, K.; Bukowiecki, N.; Lienemann, P.; Poulikakos, L. D.; Furger, M.; Buchmann, B.
Atmospheric Environment (2010), 44 (38), 4937-4943CODEN: AENVEQ; ISSN:1352-2310. (Elsevier Ltd.)
Mech. produced abrasion particles and resuspension processes are responsible for a significant part of the PM10 emissions of road traffic. However, specific differentiation between PM10 emissions due to abrasion and resuspension from road pavement is very difficult due to their similar elemental compn. and highly correlated variation in time. In this work Mobile Load Simulators were used to est. PM10 emission factors for pavement abrasion and resuspension on different pavement types for light and heavy duty vehicles. From the expts. it was derived that particle emissions due to abrasion from pavements in good condition are quite low in the range of only a few mg/km-1 per vehicle if quantifiable at all. Considerable abrasion emissions, however, can occur from damaged pavements. Resuspension of deposited dust can cause high and extremely variable particle emissions depending strongly on the dirt load of the road surface. Porous pavements seem to retain deposited dust better than dense pavements, thus leading to lower emissions due to resuspension compared to pavements with a dense structure (e.g. asphalt concrete). Tire wear seemed not to be a quant. significant source of PM10 emissions from road traffic.
36
Charbouillot, T.; Janet, D. C.; Schaal, P.; Beynier, I.; Boulat, J. M.; Grandchamp, A.; Biesse, F. Methodology for the Direct Measurement of Tire Emission Factors. Sci. Total Environ. 2023, 863, 160853, DOI: 10.1016/j.scitotenv.2022.160853
37
Alves, C. A.; Vicente, A. M. P.; Calvo, A. I.; Baumgardner, D.; Amato, F.; Querol, X.; Pio, C.; Gustafsson, M. Physical and Chemical Properties of Non-Exhaust Particles Generated from Wear between Pavements and Tyres. Atmos. Environ. 2020, 224, 117252, DOI: 10.1016/j.atmosenv.2019.117252
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Physical and chemical properties of non-exhaust particles generated from wear between pavements and tyres
Alves, C. A.; Vicente, A. M. P.; Calvo, A. I.; Baumgardner, D.; Amato, F.; Querol, X.; Pio, C.; Gustafsson, M.
Atmospheric Environment (2020), 224 (), 117252CODEN: AENVEQ; ISSN:1352-2310. (Elsevier Ltd.)
A road simulator was used to generate wear particles from the interaction between two tyre brands and a composite pavement. Particle size distributions were monitored using a scanning mobility particle sizer and an aerosol particle sizer. Continuous measurements of particle mass concns. were also made. Collection of inhalable particles (PM10) was conducted using a high-vol. sampler equipped with quartz filters, which were then analyzed for org. and elemental carbon, org. constituents and elemental compn. Tyre fragments chopped into tiny chips were also subjected to detailed org. and elemental speciation. The no. concn. was dominated by particles <0.5μm, whereas most of the mass was found in particles >0.5μm. The emission factor from wear between pavements and tyres was of the order of 2 mg km-1 veh-1. Org. carbon represented about 10% of the PM10 mass, encompassing multiple aliph. compds. (n-alkanes, alkenes, hopanes, and steranes), PAHs, thiazols, n-alkanols, polyols, some fragrant compds., sugars, triterpenoids, sterols, phenolic constituents, phthalate plasticisers and several types of acids, among others. The relationship between airborne particulate org. constituents and org. matter in tyre debris is discussed.
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Khardi, S. Emission Factors of Tyre Wear Particles Emitted by Light Road Vehicles in Real Driving Conditions: A New Challenge for Clean Road Transport to Improve Urban Air Quality. Atmosphere (Basel). 2024, 15 (6), 665, DOI: 10.3390/atmos15060665
39
Aatmeeyata; Kaul, D. S.; Sharma, M. Traffic Generated Non-Exhaust Particulate Emissions from Concrete Pavement: A Mass and Particle Size Study for Two-Wheelers and Small Cars. Atmos. Environ. 2009, 43 (35), 5691– 5697, DOI: 10.1016/j.atmosenv.2009.07.032
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Jalali Farahani, V.; Altuwayjiri, A.; Taghvaee, S.; Sioutas, C. Tailpipe and Nontailpipe Emission Factors and Source Contributions of PM10 on Major Freeways in the Los Angeles Basin. Environ. Sci. Technol. 2022, 56 (11), 7029– 7039, DOI: 10.1021/acs.est.1c06954
41
Luhana, L.; Sokhi, R.; Warner, L.; Mao, H.; Boulter, P.; McCrae, I.; Wright, J.; Osborn, D. Measurement of Non-Exhaust Particulate Matter; European Commission, 2004.
42
Panko, J. M.; Chu, J.; Kreider, M. L.; Unice, K. M. Measurement of Airborne Concentrations of Tire and Road Wear Particles in Urban and Rural Areas of France, Japan, and the United States. Atmos. Environ. 2013, 72, 192– 199, DOI: 10.1016/j.atmosenv.2013.01.040
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Measurement of airborne concentrations of tire and road wear particles in urban and rural areas of France, Japan, and the United States
Panko, Julie M.; Chu, Jennifer; Kreider, Marisa L.; Unice, Ken M.
Atmospheric Environment (2013), 72 (), 192-199CODEN: AENVEQ; ISSN:1352-2310. (Elsevier Ltd.)
In addn. to industrial facilities, fuel combustion, forest fires, and dust erosion, exhaust and non-exhaust vehicle emissions are an important source of ambient air respirable particulate matter (PM10). Non-exhaust vehicle emissions are formed from wear particles of vehicle components such as brakes, clutches, chassis, and tires. Although the non-exhaust particles are relatively minor contributors to the overall ambient air particulate load, reliable exposure ests. are few. In this study, a global sampling program was conducted to quantify tire and road wear particles (TRWP) in the ambient air to understand potential human exposures and the overall contribution of these particles to the PM10. The sampling was conducted in Europe, the United States, and Japan and the sampling locations were selected to represent a variety of settings including both rural and urban core; and within each residential, com. and recreational receptors. The air samples were analyzed using validated chem. markers for rubber polymer based on a pyrolysis technique. Results indicated that TRWP concns. in the PM10 fraction were low with avs. ranging from 0.05-0.70 μg m-3, representing an av. PM10 contribution of 0.84%. The TRWP concn. in air was assocd. with traffic load and population d., but the trend was not statistically significant. Further, significant differences across days were not obsd. This study provides a robust dataset to understand potential human exposures to airborne TRWP.
43
Sjödin, Å.; Ferm, M.; Björk, A.; Rahmberg, M.; Gudmundsson, A.; Swietlicki, E.; Johansson, C.; Gustafsson, M.; Blomqvist, G. Wear Particles from Road Traffic - a Field, Laboratory and Modelling Study. Final Report; IVL, 2010. DOI: 10.13140/RG.2.2.18594.35524 .
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De Oliveira, T.; Muresan, B.; Ricordel, S.; Lumière, L.; Truong, X. T.; Poirier, L.; Gasperi, J. Realistic Assessment of Tire and Road Wear Particle Emissions and Their Influencing Factors on Different Types of Roads. J. Hazard. Mater. 2024, 465, 133301, DOI: 10.1016/j.jhazmat.2023.133301
45
Rauterberg-Wulff, A. Beitrag Des Reifen- Und Bremsenabriebs Zur Rußimmission an Straßen, Ph.D. Thesis, Technische Universität: Berlin, 1998.
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Zhang, J.; Peng, J.; Song, C.; Ma, C.; Men, Z.; Wu, J.; Wu, L.; Wang, T.; Zhang, X.; Tao, S.; Gao, S.; Hopke, P. K.; Mao, H. Vehicular Non-Exhaust Particulate Emissions in Chinese Megacities: Source Profiles, Real-World Emission Factors, and Inventories. Environ. Pollut. 2020, 266 (P2), 115268, DOI: 10.1016/j.envpol.2020.115268
47
Tonegawa, Y.; Sasaki, S. Development of Tire-Wear Particle Emission Measurements for Passenger Vehicles. Emiss. Control Sci. Technol. 2021, 7, 56– 62, DOI: 10.1007/s40825-020-00181-z
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Zhang, Q.; Fang, T.; Men, Z.; Wei, N.; Peng, J.; Du, T.; Zhang, X.; Ma, Y.; Wu, L.; Mao, H. Direct Measurement of Brake and Tire Wear Particles Based on Real-World Driving Conditions. Sci. Total Environ. 2024, 906, 167764, DOI: 10.1016/j.scitotenv.2023.167764
49
Park, I.; Kim, H.; Lee, S. Characteristics of Tire Wear Particles Generated in a Laboratory Simulation of Tire/Road Contact Conditions. J. Aerosol Sci. 2018, 124, 30– 40, DOI: 10.1016/j.jaerosci.2018.07.005
50
Allen, J. O.; Alexandrova, O.; Kaloush, K. E. Tire Wear Emissions for Asphalt Rubber and Portland Cement Concrete Pavement Surfaces; Arizona State University, 2006.
51
Alexandrova, O.; Kaloush, K. E.; Allen, J. O. Impact of Asphalt Rubber Friction Course Overlays on Tire Wear Emissions and Air Quality Models for Phoenix, Arizona. Airshed. Transp. Res. Rec. 2007, 2011 (1), 98– 106, DOI: 10.3141/2011-11
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Kim, G.; Lee, S. Characteristics of Tire Wear Particles Generated by a Tire Simulator under Various Driving Conditions. Environ. Sci. Technol. 2018, 52 (21), 12153– 12161, DOI: 10.1021/acs.est.8b03459
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Characteristics of Tire Wear Particles Generated by a Tire Simulator under Various Driving Conditions
Kim, Gibaek; Lee, Seokhwan
Environmental Science & Technology (2018), 52 (21), 12153-12161CODEN: ESTHAG; ISSN:0013-936X. (American Chemical Society)
Physicochem. properties of pure tire wear particles (TWPs) were studied in a lab. A tire simulator installed in an enclosing chamber was employed to eliminate artifacts caused by interfering particles during the generation and measurement of TWPs. TWP particulate matter (PM2.5 and PM10) was correlated with tire speed (r > 0.94) and load (r > 0.99). Their mass size distributions showed that TWP mode diams. ranged between 3 and 4 μm (unimodal). Tire wear caused by slip events resulted in an increase in the no. concn. (∼8.4 × 105 cm-3) of particles (mainly ultrafine particles (UFPs)) at low PM2.5 and PM10 values (1 and 2 μg m-3, resp.). During braking events, UFPs were emitted at an early stage, with an increase in no. concn. (up to 1.1 × 107 cm-3); a high mass concn. (3.6 mg m-3) was obsd. at a later stage via the coagulation of early emitted UFPs and condensation. From morphol. and elemental compn., TWPs generally had elongated (micrometer-scale) and round/irregular (submicrometer-scale) shapes and they were classified into C/Si-rich, heavy metal-contg., S-contg., and mineral-contg. particles. This study detd. that TWP emissions can vary with changes in driving condition.
53
Cadle, S. H.; Williams, R. L. Gas and Particle Emissions from Automobile Tires in Laboratory and Field Studies. J. Air Pollut. Control Assoc. 1978, 28 (5), 502– 507, DOI: 10.1080/00022470.1978.10470623
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Gas and particle emissions from automobile tires in laboratory and field studies
Cadle, S. H.; Williams, R. L.
Journal of the Air Pollution Control Association (1978), 28 (5), 502-7CODEN: JPCAAC; ISSN:0002-2470.
The gaseous hydrocarbon and S compds. emitted in lab. tests were identified. Although these hydrocarbons can participate in smog reactions, their mass emission rate is <0.1% current exhaust hydrocarbon emission rate. Hydrocarbons from tires are not measurable near a freeway. The particulate emitted from tires have sizes 0.01->30μ, with the larger particles dominating the total mass. Measurements along a California freeway showed that most of the tire debris had settled within 5 m of the pavement edge. Airborne rubber concns. were <0.5 μg/m3, or <5% total tire wear. These field measurements confirm the indoor emission pattern and verify that tire wear products are not a significant air pollution problem.
54
Rødland, E. S.; Samanipour, S.; Rauert, C.; Okoffo, E. D.; Reid, M. J.; Heier, L. S.; Lind, O. C.; Thomas, K. V.; Meland, S. A Novel Method for the Quantification of Tire and Polymer-Modified Bitumen Particles in Environmental Samples by Pyrolysis Gas Chromatography Mass Spectroscopy. J. Hazard. Mater. 2022, 423, 127092, DOI: 10.1016/j.jhazmat.2021.127092
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A novel method for the quantification of tire and polymer-modified bitumen particles in environmental samples by pyrolysis gas chromatography mass spectroscopy
Rodland Elisabeth S; Meland Sondre; Samanipour Saer; Rauert Cassandra; Okoffo Elvis D; Thomas Kevin V; Reid Malcom J; Heier Lene S; Lind Ole Christian
Journal of hazardous materials (2022), 423 (Pt A), 127092 ISSN:.
Tire and road wear particles may constitute the largest source of microplastic particles into the environment. Quantification of these particles are associated with large uncertainties which are in part due to inadequate analytical methods. New methodology is presented in this work to improve the analysis of tire and road wear particles using pyrolysis gas chromatography mass spectrometry. Pyrolysis gas chromatography mass spectrometry of styrene butadiene styrene, a component of polymer-modified bitumen used on road asphalt, produces pyrolysis products identical to those of styrene butadiene rubber and butadiene rubber, which are used in tires. The proposed method uses multiple marker compounds to measure the combined mass of these rubbers in samples and includes an improved step of calculating the amount of tire and road based on the measured rubber content and site-specific traffic data. The method provides good recoveries of 83-92% for a simple matrix (tire) and 88-104% for a complex matrix (road sediment). The validated method was applied to urban snow, road-side soil and gully-pot sediment samples. Concentrations of tire particles in these samples ranged from 0.1 to 17.7 mg/mL (snow) to 0.6-68.3 mg/g (soil/sediment). The concentration of polymer-modified bitumen ranged from 0.03 to 0.42 mg/mL (snow) to 1.3-18.1 mg/g (soil/sediment).
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McAtee, B.; Gustafsson, M.; Blomqvist, G.; Gudmundsson, A.; Sweet, L.; Panko, J.; Finley, B. Physio-Chemical Analysis of Airborne Tire Wear Particles. Toxicol. Lett. 2009, 189, S205, DOI: 10.1016/j.toxlet.2009.06.621
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Gustafsson, M.; Blomqvist, G.; Gudmundsson, A.; Dahl, A.; Swietlicki, E.; Bohgard, M.; Lindbom, J.; Ljungman, A. Properties and Toxicological Effects of Particles from the Interaction between Tyres, Road Pavement and Winter Traction Material. Sci. Total Environ. 2008, 393 (2–3), 226– 240, DOI: 10.1016/j.scitotenv.2007.12.030
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Properties and toxicological effects of particles from the interaction between tires, road pavement and winter traction material
Gustafsson, Mats; Blomqvist, Goeran; Gudmundsson, Anders; Dahl, Andreas; Swietlicki, Erik; Bohgard, Mats; Lindbom, John; Ljungman, Anders
Science of the Total Environment (2008), 393 (2-3), 226-240CODEN: STENDL; ISSN:0048-9697. (Elsevier Ltd.)
In regions where studded tires and traction material are used during winter, e.g. the Nordic countries, northern part of USA, Canada, and Japan, mech. generated particles from traffic are the main reason for high particle mass concns. in busy street and road environments. In many Nordic municipalities the European environmental quality std. for inflatable particles (PM10) is exceeded due to these particles. In this study, particles from the wear of studded and stud-less friction tires on two pavements and traction sanding were generated using a road simulator. The particles were characterized using particle sizes, Particle Induced X-Ray Emission Anal. and electron microscopy. Cell studies were conducted on particles sampled from the tests with studded tires and compared with street environment, diesel exhaust and subway PM10, resp. The results show that in the road simulator, where resuspension is minimized, studded tires produce tens of times more particles than friction tires. Chem. anal. of the sampled particles shows that the generated wear particles consist almost entirely of minerals from the pavement stone material, but also that sulfur is enriched for the submicron particles and that zinc is enriched for friction tires for all particles sizes. The chem. data can be used for source identification and apportionment in urban aerosol studies. A mode of ultra-fine particles was also present and is hypothesized to originate in the tires. Further, traction material properties affect PM10 emission. The inflammatory potential of the particles from wear of pavements seems to depend on type of pavement and can be at least as potent as diesel exhaust particles. The results imply that there is a need and a good potential to reduce particle emission from pavement wear and winter time road and street operation by adjusting both studded tire use as well as pavement and traction material properties.
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Schläfle, S.; Unrau, H. J.; Gauterin, F. Influence of Longitudinal and Lateral Forces on the Emission of Tire–Road Particulate Matter and Its Size Distribution. Atmosphere (Basel). 2023, 14 (12), 1780, DOI: 10.3390/atmos14121780
58
Wang, X.; Gronstal, S.; Lopez, B.; Jung, H.; Chen, L. W. A.; Wu, G.; Ho, S. S. H.; Chow, J. C.; Watson, J. G.; Yao, Q.; Yoon, S. Evidence of Non-Tailpipe Emission Contributions to PM2.5 and PM10 near Southern California Highways. Environ. Pollut. 2023, 317, 120691, DOI: 10.1016/j.envpol.2022.120691
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Chen, L. W. A.; Wang, X.; Lopez, B.; Wu, G.; Ho, S. S. H.; Chow, J. C.; Watson, J. G.; Yao, Q.; Yoon, S.; Jung, H. Contributions of Non-Tailpipe Emissions to near-Road PM2.5 and PM10: A Chemical Mass Balance Study. Environ. Pollut. 2023, 335, 122283, DOI: 10.1016/j.envpol.2023.122283
60
Kumata, H.; Takada, H.; Ogura, N. 2-(4-Morpholinyl)Benzothiazole as an Indicator of Tire-Wear Particles and Road Dust in the Urban Environment. ACS Symp. Ser. 1997, 671, 291– 305, DOI: 10.1021/bk-1997-0671.ch019
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Liu, Y.; Chen, H.; Gao, J.; Dave, K.; Chen, J. Gap Analysis and Future Needs of Tyre Wear Particles. SAE Technol. Pap. 2021, 2021-01-0621, DOI: 10.4271/2021-01-0621
62
Guo, D.; Wei, H.; Guo, Y.; Wang, C.; Yin, Z. Non-Exhaust Particulate Matter Emission from Vehicles: A Review. E3S Web Conf. 2021, 268, 01015, DOI: 10.1051/e3sconf/202126801015
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Fussell, J. C.; Franklin, M.; Green, D. C.; Gustafsson, M.; Harrison, R. M.; Hicks, W.; Kelly, F. J.; Kishta, F.; Miller, M. R.; Mudway, I. S.; Oroumiyeh, F.; Selley, L.; Wang, M.; Zhu, Y. A Review of Road Traffic-Derived Non-Exhaust Particles: Emissions, Physicochemical Characteristics, Health Risks, and Mitigation Measures. Environ. Sci. Technol. 2022, 56 (11), 6813– 6835, DOI: 10.1021/acs.est.2c01072
63
A Review of Road Traffic-Derived Non-Exhaust Particles: Emissions, Physicochemical Characteristics, Health Risks, and Mitigation Measures
Fussell, Julia C.; Franklin, Meredith; Green, David C.; Gustafsson, Mats; Harrison, Roy M.; Hicks, William; Kelly, Frank J.; Kishta, Franceska; Miller, Mark R.; Mudway, Ian S.; Oroumiyeh, Farzan; Selley, Liza; Wang, Meng; Zhu, Yifang
Environmental Science & Technology (2022), 56 (11), 6813-6835CODEN: ESTHAG; ISSN:1520-5851. (American Chemical Society)
A review. Implementation of regulatory stds. has reduced exhaust emissions of particulate matter from road traffic substantially in the developed world. However, nonexhaust particle emissions arising from the wear of brakes, tires, and the road surface, together with the resuspension of road dust, are unregulated and exceed exhaust emissions in many jurisdictions. While knowledge of the sources of nonexhaust particles is fairly good, source-specific measurements of airborne concns. are few, and studies of the toxicol. and epidemiol. do not give a clear picture of the health risk posed. This paper reviews the current state of knowledge, with a strong focus on health-related research, highlighting areas where further research is an essential prerequisite for developing focused policy responses to nonexhaust particles.
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Lükewille, A.; Bertok, I.; Amann, M.; Cofala, J.; Gyarfas, F.; Heyes, C.; Karvosenoja, N.; Klimont, Z.; Schoepp, W. A Framework to Estimate the Potential and Costs for the Control of Fine Particulate Emissions in Europe; IIASA, 2001.
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Klimont, Z.; Cofala, J.; Bertok, I.; Amann, M.; Heyes, C.; Gyarfas, F. Modelling Particulate Emissions in Europe: A Framework to Estimate Reduction Potential and Control Costs; IIASA, 2002.
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Boulter, P. G. A Review of Emission Factors and Models for Road Vehicle Non-Exhaust Particulate Matter; TRL Limited, 2005.
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Panko, J.; Kreider, M.; Unice, K. Chapter 7 - Review of Tire Wear Emissions: A Review of Tire Emission Measurement Studies: Identification of Gaps and Future Needs; Elsevier Inc., 2018. DOI: 10.1016/B978-0-12-811770-5.00007-8 .
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EPA. Brake and Tire Wear Emissions in MOVES2014; EPA, 2014.
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Grigoratos, T.; Martini, G. Non-Exhaust Traffic Related Emissions. Brake and Tyre Wear PM; Joint Research Centre, 2014. DOI: 10.2790/21481 .
71
Keuken, M.; Teeuwisse, S.; ten Brink, H. M. Research on the Contribution of Road Dust Emissions to PM10 Concentrations in the Netherlands. TNO Report Nr. R99/505; TNO, 1999.
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ten Broeke, H.; Hulskotte, J.; van der Denier Gon, H. Emissies Door Bandenslijtage Afkomstig van Het Wegverkeer; Rijkswaterstaat - Waterdienst, 2008.
73
Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek (TNO). CEPMEIP Database. http://tno.air.sk/cepmeip/ (accessed Jun 13, 2024).
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NAEI. Fleet Weighted Road Transport Emission Factor 2018; Ricardo, 2020.
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Department for Environment Food & Rural Affairs (DEFRA). Non-Exhaust Emissions from Road Traffic; DEFRA, 2019.
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Eidgenössische Materialprüfungs- und Forschungsanstalt (EMPA). Beitrag Des Strassenverkehrs Zu Den PM10- Und PM2.5-Immissionen; Schlussbericht; NFP41 Verkehr und Umwelt, 2000.
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Suleiman, A.; Tight, M. R.; Quinn, A. D. Applying Machine Learning Methods in Managing Urban Concentrations of Traffic-Related Particulate Matter (PM10 and PM2.5). Atmos. Pollut. Res. 2019, 10 (1), 134– 144, DOI: 10.1016/j.apr.2018.07.001
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Keuken, M.; Denier van der Gon, H.; van der Valk, K. Non-Exhaust Emissions of PM and the Efficiency of Emission Reduction by Road Sweeping and Washing in the Netherlands. Sci. Total Environ. 2010, 408 (20), 4591– 4599, DOI: 10.1016/j.scitotenv.2010.06.052
79
Mennekes, D.; Nowack, B. Tire Wear Particle Emissions: Measurement Data Where Are You?. Sci. Total Environ. 2022, 830, 154655, DOI: 10.1016/j.scitotenv.2022.154655
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Tire wear particle emissions: Measurement data where are you?
Mennekes, David; Nowack, Bernd
Science of the Total Environment (2022), 830 (), 154655CODEN: STENDL; ISSN:0048-9697. (Elsevier B.V.)
Tire wear particle (TWP) emissions are gaining more attention since they are considered to contribute a major share to the overall microplastic emissions and are suspected to be harmful to flora, fauna and humans. Hence, recent studies derived country-based TWP emissions to better understand the significance of the problem using either tire emission factors (EF) or a material flow anal. (MFA) of tires. However, all 14 country-based TWP emission studies found and published since the year 2000 base their calcn. on other studies rather than own measurements. Therefore, we started to search for the actual TWP measurements which the 14 studies would rely on. As a result, we found a network of 63 studies which were used to derive TWP emissions in different countries and regions. Only in few cases (12%) TWP emission studies ref. directly to a measurement study to derive TWP emissions, but mostly (63%) they rely on reviews or summarizing studies. Addnl., we could not obtain 25 studies in the analyzed network. In total we found nine studies which actually measured TWP emissions. Out of these four studies originate from the 1970s, one analyzed only light vehicles and one only considered buses. Thus, only three non peer-reviewed studies were considered to show trustful results which were cited a max. of three times in the network. The obtained 14 country-based studies suggest TWP emissions of about 1.3 kg capita-1 yr-1 for the EF approach and 2.0 kg capita-1 yr-1 for the MFA approach (overall range: 0.9-2.5 kg capita-1 yr-1). Consequently, we call for an urgent need to minimize uncertainties of TWP emission ests. to better understand the contribution of TWP to the overall microplastic pollution of the environment. A better understanding about quantities could also help to better address the risk of environmental pollution by TWP.
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Hasher, L.; Goldstein, D.; Toppino, T. Frequency and the Conference of Referential Validity. J. Verbal Learning Verbal Behav. 1977, 16 (1), 107– 112, DOI: 10.1016/S0022-5371(77)80012-1
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Harrison, R. M.; Allan, J.; Carruthers, D.; Heal, M. R.; Lewis, A. C.; Marner, B.; Murrells, T.; Williams, A. Non-Exhaust Vehicle Emissions of Particulate Matter and VOC from Road Traffic: A Review. Atmos. Environ. 2021, 262, 118592, DOI: 10.1016/j.atmosenv.2021.118592
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Non-exhaust vehicle emissions of particulate matter and VOC from road traffic: A review
Harrison, Roy M.; Allan, James; Carruthers, David; Heal, Mathew R.; Lewis, Alastair C.; Marner, Ben; Murrells, Tim; Williams, Andrew
Atmospheric Environment (2021), 262 (), 118592CODEN: AENVEQ; ISSN:1352-2310. (Elsevier Ltd.)
A review. As exhaust emissions of particles and volatile org. compds. (VOC) from road vehicles have progressively come under greater control, non-exhaust emissions have become an increasing proportion of the total emissions, and in many countries now exceed exhaust emissions. Non-exhaust particle emissions arise from abrasion of the brakes and tyres and wear of the road surface, as well as from resuspension of road dusts. The national emissions, particle size distributions and chem. compn. of each of these sources is reviewed. Most ests. of airborne concns. derive from the use of chem. tracers of specific emissions; the tracers and airborne concns. estd. from their use are considered. Particle size distributions have been measured both in the lab. and in field studies, and generally show particles to be in both the coarse (PM2.5-10) and fine (PM2.5) fractions, with a larger proportion in the former. The introduction of battery elec. vehicles is concluded to have only a small effect on overall road traffic particle emissions. Approaches to numerical modeling of non-exhaust particles in the atm. are reviewed. Abatement measures include engineering controls, esp. for brake wear, improved materials (e.g. for tyre wear) and road surface cleaning and dust suppressants for resuspension. Emissions from solvents in screen wash and de-icers now dominate VOC emissions from traffic in the UK, and exhibit a very different compn. to exhaust VOC emissions. Likely future trends in non-exhaust particle emissions are described.
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Organisation for Economic Co-operation and Development (OECD). Non-Exhaust Particulate Emissions from Road Transport: An Ignored Environmental Policy Challenge; OECD, 2020. DOI: 10.1787/4a4dc6ca-en .
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Vanherle, K.; Lopez-Aparicio, S.; Grythe, H.; Lükewille, A.; Unterstaller, A.; Mayeres, I. Transport Non-Exhaust PM-Emissions. An Overview of Emission Estimates, Relevance, Trends and Policies. ETC/ATNI Report 5/2020; EEA, 2021.
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Singh, V.; Biswal, A.; Kesarkar, A. P.; Mor, S.; Ravindra, K. High Resolution Vehicular PM10 Emissions over Megacity Delhi: Relative Contributions of Exhaust and Non-Exhaust Sources. Sci. Total Environ. 2020, 699, 134273, DOI: 10.1016/j.scitotenv.2019.134273
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High resolution vehicular PM10 emissions over megacity Delhi: Relative contributions of exhaust and non-exhaust sources
Singh, Vikas; Biswal, Akash; Kesarkar, Amit P.; Mor, Suman; Ravindra, Khaiwal
Science of the Total Environment (2020), 699 (), 134273CODEN: STENDL; ISSN:0048-9697. (Elsevier B.V.)
Exposure to vehicular traffic-induced particulate matter (PM) can cause adverse health risks. Recent studies projected an increase in future non-exhaust emissions despite a redn. in exhaust emissions. While there is much research concerning exhaust emissions, a challenge remains to quantify non-exhaust emissions, particularly in developing countries. This work developed an approach to est. on-road vehicular non-exhaust PM emissions from brake, tire, and road wear and resuspension of same, at very high resoln. (100 m2) over Delhi, India. The relative contribution of non-exhaust emissions to total vehicular emissions was also calcd. Total PM10 emissions in Delhi were 31.5 Gg/yr, dominated by non-exhaust sources. Non-exhaust emissions were six times (86%) greater than exhaust emission (14%). The highest contribution to total vehicular PM emission is from cars (34%) followed by buses (23%) and heavy com. vehicles (HCV, 17%), dominated by dust resuspension. Cars and buses contribute less to exhaust emissions and more to non-exhaust emissions. Majors roads are the largest contributors to total emissions in Delhi. Emissions from HCV, diesel cars and other diesel vehicles result in diesel vehicles contributing more than gasoline vehicles to exhaust and non-exhaust emissions. With a target to reduce PM pollution under the national clean air program, this work will be useful to plan suitable interventions to mitigate air pollution and assocd. health impacts.
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Piras, G.; Pini, F.; Di Girolamo, P. PM10 Emissions from Tires: A Disruptive Estimate Questioning Present Pollution Mitigation Strategies. Atmos. Pollut. Res. 2024, 15 (1), 101939, DOI: 10.1016/j.apr.2023.101939
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Svensson, N.; Engardt, M.; Gustafsson, M.; Andersson-Sköld, Y. Modelled Atmospheric Concentration of Tyre Wear in an Urban Environment. Atmos. Environ. X 2023, 20, 100225, DOI: 10.1016/j.aeaoa.2023.100225
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Kim, J.; Park, E.; Moon, H.; Son, H.; Hong, J.; Wi, E.; Kwon, J. T.; Seo, D. Y.; Lee, H.; Kim, Y. Estimation of the Concentration of Nano-Carbon Black in Tire-Wear Particles Using Emission Factors of PM10, PM2.5, and Black Carbon. Chemosphere 2022, 303 (P1), 134976, DOI: 10.1016/j.chemosphere.2022.134976
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Thorpe, A. J.; Harrison, R. M.; Boulter, P. G.; McCrae, I. S. Estimation of Particle Resuspension Source Strength on a Major London Road. Atmos. Environ. 2007, 41 (37), 8007– 8020, DOI: 10.1016/j.atmosenv.2007.07.006
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Braysher, E. C.; Brown, A. S.; Brown, R. J. C.; Molden, N. Traceable Determination of Metal Composition of Tyres Using Tandem ICP-MS and Benchmarking of Emissions Inventories. Environ. Sci. Process. Impacts 2024, 26 (2), 298– 304, DOI: 10.1039/D3EM00344B
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Sarica, T.; Chaillou, C.; Roustan, Y.; Larrieu, C.; Wali, S. E.; Sartelet, K. Differentiated Impact of Low-Exhaust-Emission Vehicles on NO2 and Particle Concentrations in the Paris Region. Eur. Transp. Res. Rev. 2024, 16 (34), DOI: 10.1186/s12544-024-00660-2 .
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Tomar, G.; Nagpure, A. S.; Kumar, V.; Jain, Y. High Resolution Vehicular Exhaust and Non-Exhaust Emission Analysis of Urban-Rural District of India. Sci. Total Environ. 2022, 805, 150255, DOI: 10.1016/j.scitotenv.2021.150255
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Simons, A. Road Transport: New Life Cycle Inventories for Fossil-Fuelled Passenger Cars and Non-Exhaust Emissions in Ecoinvent V3. Int. J. Life Cycle Assess. 2016, 21, 1299– 1313, DOI: 10.1007/s11367-013-0642-9
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Liu, Y.; Chen, H.; Gao, J.; Li, Y.; Dave, K.; Chen, J.; Federici, M.; Perricone, G. Comparative Analysis of Non-Exhaust Airborne Particles from Electric and Internal Combustion Engine Vehicles. J. Hazard. Mater. 2021, 420, 126626, DOI: 10.1016/j.jhazmat.2021.126626
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Mehlig, D.; Staffell, I.; Stettler, M.; ApSimon, H. Accelerating Electric Vehicle Uptake Favours Greenhouse Gas over Air Pollutant Emissions. Transp. Res. Part D Transp. Environ. 2023, 124, 103954, DOI: 10.1016/j.trd.2023.103954
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Castiglione, T.; Perrone, D.; Polistina, M. Evaluation of PM Emissions from Internal Combustion Engines, Electric and Plug-In Hybrid Vehicles by Using Emission Factors. SAE Technol. Pap. 2023, 2023-24-0116, DOI: 10.4271/2023-24-0116
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Woo, S. H.; Jang, H.; Lee, S. B.; Lee, S. Comparison of Total PM Emissions Emitted from Electric and Internal Combustion Engine Vehicles: An Experimental Analysis. Sci. Total Environ. 2022, 842, 156961, DOI: 10.1016/j.scitotenv.2022.156961
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Liu, Y.; Chen, H.; Jiang, L.; Li, T.; Guo, J.; Wei, T.; Crowther, R. Environmental and Health Impacts of Banning Passenger Cars with Internal Combustion Engines: A Case Study of Leeds, UK. Transp. Res. Part D Transp. Environ. 2024, 134, 104343, DOI: 10.1016/j.trd.2024.104343
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Schmitt, J.; Hatzopoulou, M.; Abdul-Manan, A. F.N.; MacLean, H. L.; Posen, I. D. Health Benefits of US Light- Duty Vehicle Electrification: Roles of Fleet Dynamics, Clean Electricity, and Policy Timing. Proc. Natl. Acad. Sci. U. S. A. 2024, 121 (43), e2320858121 DOI: 10.1073/pnas.2320858121
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Rausch, J.; Jaramillo-Vogel, D.; Perseguers, S.; Schnidrig, N.; Grobéty, B.; Yajan, P. Automated Identification and Quantification of Tire Wear Particles (TWP) in Airborne Dust: SEM/EDX Single Particle Analysis Coupled to a Machine Learning Classifier. Sci. Total Environ. 2022, 803, 149832, DOI: 10.1016/j.scitotenv.2021.149832
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Automated identification and quantification of tire wear particles (TWP) in airborne dust: SEM/EDX single particle analysis coupled to a machine learning classifier
Rausch, Juanita; Jaramillo-Vogel, David; Perseguers, Sebastien; Schnidrig, Nicolas; Grobety, Bernard; Yajan, Phattadon
Science of the Total Environment (2022), 803 (), 149832CODEN: STENDL; ISSN:0048-9697. (Elsevier B.V.)
The share of non-exhaust particles, including tire wear particles (TWP), within the airborne dust and particularly within PM10 has increased in recent years due to a significant redn. of other particles including exhaust road traffic emissions. However, the quantification of TWP is a demanding task due to the non-specificity of tracers, and the fact that they are commonly contained in anal. challenging low concns. (e.g. Zn, styrene, 1,3-butadiene, vinylcyclohexene). This difficulty is amplified by the chem. and morpho-textural heterogeneity of TWP resulting from the interaction between the tires and the road surface. In contrast to bulk techniques, automated single particle SEM/energy-dispersive x-ray anal. anal. can benefit from the ubiquitous heterogeneity of environmental TWP as a diagnostic criterion for their identification and quantification. For this purpose, we follow a machine-learning (ML) approach that makes use of an extensive no. (67) of morphol., textural (backscatter-signal based) and chem. descriptors to differentiate environmental particles into the following classes: TWP, metals, minerals and biogenic/org. We present a ML-based model developed to classify airborne samples (trained by >100,000 environmental particles including 6841 TWP), and its application within a one-year monitoring campaign at two Swiss sites. In this study, the mass concns. of TWP in the airborne fractions PM80-10, PM10-2.5 and PM2.5-1 were detd. Furthermore, the particle size distribution and shape characteristics of 5621 TWP were evaluated. A cut through a TWP by FIB-SEM evidences that the mineral and metal particles typically found in TWP are not only present on the particle surface but also throughout the complete TWP vol. At the urban background site, the annual av. mass fraction of TWP and micro-rubber in PM10 was 1.8% (0.28μg/m3) and 0.9%, resp. At the urban kerbside site, the corresponding values were 6 times higher amounting to 10.5% (2.24μg/m3) for TWP, and 5.0% for micro-rubber.
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Sommer, F.; Dietze, V.; Baum, A.; Sauer, J.; Gilge, S.; Maschowski, C.; Gieré, R. Tire Abrasion as a Major Source of Microplastics in the Environment. Aerosol Air Qual. Res. 2018, 18 (8), 2014– 2028, DOI: 10.4209/aaqr.2018.03.0099
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Tire abrasion as a major source of microplastics in the environment
Sommer, Frank; Dietze, Volker; Baum, Anja; Sauer, Jan; Gilge, Stefan; Maschowski, Christoph; Giere, Reto
Aerosol and Air Quality Research (2018), 18 (8), 2014-2028CODEN: AAQRAV; ISSN:1680-8584. (Taiwan Association for Aerosol Research)
Traffic-related non-exhaust particulate matter mainly consists of tire wear, brake wear, and road wear. For this study, passive-samplers were placed near highly frequented roads in industrial, agricultural, and urban environments with the aim of collecting and characterizing super-coarse (> 10μm) airborne particles. Single-particle anal. using SEM-EDX was conducted on more than 500 particles with nearly 1500 spectra to det. their size, shape, vol., and chem. compn. The ambient aerosol near all studied roads is dominated by traffic-related abrasion particles, amounting to approx. 90 vol%. The majority of the particles were composites of tire-, road-, and brake-abrasion material. The particle assemblages differed in size distribution, compn., and structure depending on driving speed, traffic flow, and traffic fleet. Our study documents that tire wear significantly contributes to the flux of microplastics into the environment. A decrease in the release of this abrasion material, however, is unlikely in the near future.
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Dahl, A.; Gharibi, A.; Swietlicki, E.; Gudmundsson, A.; Bohgard, M.; Ljungman, A.; Blomqvist, G.; Gustafsson, M. Traffic-Generated Emissions of Ultrafine Particles from Pavement-Tire Interface. Atmos. Environ. 2006, 40 (7), 1314– 1323, DOI: 10.1016/j.atmosenv.2005.10.029
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Mathissen, M.; Scheer, V.; Vogt, R.; Benter, T. Investigation on the Potential Generation of Ultrafine Particles from the Tire-Road Interface. Atmos. Environ. 2011, 45 (34), 6172– 6179, DOI: 10.1016/j.atmosenv.2011.08.032
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Park, I.; Lee, J.; Lee, S. Laboratory Study of the Generation of Nanoparticles from Tire Tread. Aerosol Sci. Technol. 2017, 51 (2), 188– 197, DOI: 10.1080/02786826.2016.1248757
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Haugen, M.; Buhler, P.; Schläfle, S.; O’Loughlin, D.; Saladin, S.; Giorio, C.; Boies, A. Method Development and Analysis of Nanoparticle Size Fractions from Tire-Wear Emissions. Environ. Sci. Atmos. 2024, 4 (9), 1079– 1090, DOI: 10.1039/D4EA00048J
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Wi, E.; Park, E.; Shin, H.; Hong, J.; Jeong, S.; Kwon, J. T.; Lee, H.; Lee, J.; Kim, Y. Overall Distribution of Tire-Wear Particles, Nano-carbon Black, and Heavy Metals in Size-Fractionated Road Dust Collected from Steel Industrial Complexes. Sci. Total Environ. 2023, 884, 163878, DOI: 10.1016/j.scitotenv.2023.163878
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Cadle, S. H.; Williams, R. L. Environmental Degradation of Tire-Wear Particles. Rubber Chem. Technol. 1980, 53 (4), 903– 914, DOI: 10.5254/1.3535066
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Environmental degradation of tire-wear particles
Cadle, S. H.; Williams, R. L.
Rubber Chemistry and Technology (1980), 53 (4), 903-14CODEN: RCTEA4; ISSN:0035-9475.
Environmental degrdn. of tire-wear particles in roadside soil was studied by thermogravimetric, pyrolysis-gas chromatog., and extn.-pyrolysis-gas chromatog. anal. The extn.-pyrolysis-gas chromatog. method was most reliable since it treats the whole sample rather than a few particles. In 16 mo, 52% of the polymer in tread-were particulate was degraded in soil samples, while only 36% of the polymer was degraded in glass beads, presumably due to lack of soil microorganisms. Fresh wear particulates of the same size showed no degrdn. The unsatd. bonds of polybutadiene undergo oxidative degrdn. more rapidly than do the arom. bonds of styrene units, suggesting that one important mode of degrdn. of tread-wear particulates is atm. oxidn. Biodegrdn. did not reduce the total C content of the tread-wear particulate, however, more than half of the extender oil was oxidized sufficiently to increase its vaporization temp. to the polymer temp. range. Microbial attack of tread-wear particulate is less significant than attack by atm. O. Tread-wear particles degrade at a faster rate than tread-rubber itself.
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Li, K.; Yu, J.; Kong, D.; Chen, X.; Peng, Y.; Wang, L. Differential Cytotoxicity to Human Cells in Vitro of Tire Wear Particles Emitted from Typical Road Friction Patterns: The Dominant Role of Environmental Persistent Free Radicals. Chemosphere 2023, 343, 140256, DOI: 10.1016/j.chemosphere.2023.140256