Document généré le 12/06/2026 depuis l'adresse: https://www.documentation.eauetbiodiversite.fr/fr/notice/amount-composition-and-sources-of-macrolitter-from-a-highly-frequented-roadway
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Identifiant documentaire
8-4656290
Identifiant OAI
4656290
Notice source
https://enpc.hal.science/hal-03614075v1
Auteur(s):
Ledieu Lauriane,Tramoy Romain,Ricordel Sophie,Astrié Daniel,Tassin Bruno,Gasperi Johnny
Mots clés
Macrolitter
Road runoff
Macroplastics
Road traffic
Deliberate littering
Accidental littering
Date de publication
01/03/2022
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Commune
Description
Many researches mention the need to identify the land-based sources of riverine macrolitter but few field data on litter amount, composition and sources are available in the scientific literature. Describing macrolitter hotspot dynamics would actually allow a better estimation of fluxes in the receiving environments and a better identification of the more appropriate mitigation strategies. This study provides new insights in roadway macrolitter production rates, typologies and input sources (i.e. deliberate or accidental). The macrolitter from an 800 m portion of a highly frequented roadway (around 90,000 vehicles per day) was collected during almost one year. Typologies were defined using the OSPAR / TGML classification. Results show high annual loads of macrolitter (42.8 kg/yr/ha), suggesting significant contributions of the road runoff to the litter fluxes in urban stormwater. Over the course of a year, 88.5 kg of debris were collected, including 53.2 kg (60%) of plastic debris. In total, 36,439 items were characterized, of which 84% were plastics. The macrodebris collected present a low diversity of components with Top 10 items accounting for 92% by count and a majority of small and lightweight items like plastic fragments (31%) or cigarette butts (18%). Input sources were estimated for 43% of the mass collected in which 37.2% were deliberately littered and 62.8% were accidental leaks, illustrating a major contribution of uncovered trucks and unsecured loads. The accumulation rates show a linear correlation with the road traffic. Such data are of prime interest 31 since they enable to determine the potential contribution of road traffic to plastic fluxes to the environment.
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