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Off the Beaten Path: Are Unpaved Roads and Recycled Tire Materials Pathways for 6PPD-Q to Enter the Environment?

2025· article· en· W7084207200 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity Library (University of Saskatchewan) · 2025
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueAfro-Latin American Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésStormwaterNatural rubberLandscapingLeachateRetrofittingLeaching (pedology)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Efforts to expand the operational lifespan of rubber tires have led to the addition of sacrificial antiozonants, including 6PPD, into the rubber material to reduce ozone-induced oxidative damage. Recent studies have demonstrated the acutely toxic effects of the transformation product of 6PPD, 6PPD-Quinone (6PPD-Q), on various salmonids in urban streams. Most of these studies have focused on 6PPD-Q generated on paved roads by tire wear particles. However, over half the road network in Canada consists of unpaved roads, which remain unstudied for 6PPD-Q contamination. Additionally, of the 414,116 tonnes of tires recycled in Canada in 2021, 44% of that mass has been converted into landscaping materials. The use of recycled tire materials as landscaping material exposes 6PPD-containing rubber to ozone and rain, potentially leaching 6PPD-Q into the urban storm drain network. In this thesis, the hypothesis is that recycled tire materials can leach 6PPD-Q into stormwater and that the concentrations found in that stormwater vary depending on environmental factors. The second hypothesis is that gravel roads contain 6PPD-Q within the road dust that comprises the road surface, and that the 6PPD-Q concentrations depend on specific environmental/anthropogenic factors. To address the potential for recycled tire material to leach 6PPD-Q, a long-term leachate study was designed to detect and quantify concentrations of 6PPD-Q in stormwater after it filters through two recycled rubber landscaping materials (mulch and crumb). Solid phase extraction techniques were then used to extract 6PPD-Q from the stormwater leachate. To examine 6PPD-Q in gravel road dust, gravel dust was collected from the surface of unpaved roads in and around Saskatoon, Saskatchewan, Canada. Chemical extractions of the gravel road dust then allowed for the detection and quantification of 6PPD-Q within each sample. 6PPD-Q concentrations in the stormwater leachate and gravel dust chemical extractions were quantified using ultra-high-performance liquid chromatography high-resolution mass spectrometry. The stormwater leachate had 6PPD-Q concentrations ranging from 1.81 µg/L to 34.5 µg/L, with a median concentration of 10.6 µg/L. Multiple linear models and other statistical tests showed that the concentrations in this leachate were affected by particle size, as well as days elapsed, mean temperature, and days between collections. In the gravel road extracts, 6PPD-Q concentrations ranged between 0.21 ng/g dry weight (dw) and 1.47 ng/g dw (median: 0.51 ng/g dw). When normalized to total organic carbon (TOC) content to allow for comparison with similar studies conducted on paved road dust, concentrations varied between 9.83 and 342 ng/g-TOC (median: 145 ng/g-TOC). Location of the roads, seasonality, or TOC content did not affect 6PPD-Q concentrations, whereas speed limit showed a positive linear relationship with 6PPD-Q concentrations. The recycled rubber study demonstrates that unintended leaching of 6PPD-Q can occur under environmental conditions, highlighting multiple factors that influence these outcomes. The 6PPD-Q concentrations in the collected leachate suggest that applications of recycled rubber in outdoor artificial turf fields may be a concentrated source of 6PPD-Q in stormwater. Further work should be conducted using similar techniques to examine the 6PPD-Q concentrations that could be found in rainwater leachate from full-sized artificial turf fields. The gravel road study provides an initial glimpse at the role unpaved roads play in adding 6PPD-Q into the environment. The presence of 6PPD-Q in unpaved road dust suggests that unpaved road dust may act as a pathway for 6PPD-Q to enter the local environment. Future work with 6PPD-Q and gravel roads should confirm whether traffic volume influences 6PPD-Q concentrations in the dust and to understand if dust blown from the road surface could spread 6PPD-Q as it travels. Thus, with the findings presented here, this thesis contributes to the understanding of sources of 6PPD-Q beyond paved roads.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,960
Score d'incertitude au seuil0,079

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,002
Communication savante0,0040,004
Science ouverte0,0010,001
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0090,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,010
Tête enseignante GPT0,185
Écart entre enseignants0,175 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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