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高度繁忙道路上的微塑料的数量、组成和来源。

Amount, composition and sources of macrolitter from a highly frequented roadway.

机构信息

Université Gustave Eiffel, GERS-LEE, F-44344, Bouguenais, France; Institut de Recherche en Sciences et Techniques de la Ville IRSTV, CNRS, 1 rue de la Noë, 44321, Nantes, Cedex 3, France.

Université Paris Est Créteil, LEESU, F-94010, Créteil, France; Ecole des Ponts, LEESU, F-77455, Champs-sur-Marne, France.

出版信息

Environ Pollut. 2022 Jun 15;303:119145. doi: 10.1016/j.envpol.2022.119145. Epub 2022 Mar 16.

Abstract

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 since they enable to determine the potential contribution of road traffic to plastic fluxes to the environment.

摘要

许多研究都提到需要识别河流中大型漂浮物的陆源,但科学文献中很少有关于垃圾数量、组成和来源的实地数据。描述大型漂浮物热点的动态实际上可以更好地估计接收环境中的通量,并更好地确定更合适的缓解策略。本研究提供了关于道路大型漂浮物产生率、类型学和输入源(即故意或意外)的新见解。在将近一年的时间里,从一条高度繁忙的道路(每天约有 90000 辆车)的 800 米路段收集了大型漂浮物。使用 OSPAR/TGML 分类法定义了类型学。结果表明,每年的大型漂浮物负荷很高(42.8 公斤/公顷/年),表明道路径流对城市雨水的垃圾通量有很大的贡献。在一年的时间里,共收集到 88.5 公斤的碎屑,其中包括 53.2 公斤(60%)的塑料碎屑。总共对 36439 个物品进行了特征描述,其中 84%为塑料。收集到的大型漂浮物的组成成分多样性较低,前 10 项物品占总数的 92%,大多数为小而轻的物品,如塑料碎片(31%)或烟头(18%)。对收集到的 43%的质量进行了输入源估计,其中 37.2%是故意丢弃的,62.8%是意外泄漏的,这说明了未覆盖的卡车和未固定的货物是主要的泄漏源。积累率与道路交通呈线性相关。这些数据非常重要,因为它们可以确定道路交通对环境中塑料通量的潜在贡献。

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