Plastic Transport in Rivers: Bridging the Gap Between Surface and Water Column

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-11-07 DOI:10.1016/j.watres.2024.122768
Stephanie B. Oswald, Ad M.J. Ragas, Margriet M. Schoor, Frank P.L. Collas
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Abstract

Rivers act as an important transportation pathway for land-based plastic litter to the ocean. Recently, rivers have also been identified as potential sinks and reservoirs for plastics. Knowledge of plastic transport over different depth profiles in rivers remains limited. In this study, we evaluated the vertical distribution of macro- and mesoplastics, using a larvae net and a trawl net in the river Rhine and its two major branches, i.e. Waal and IJssel. Subsequently, to estimate the relationship between the surface transport of plastic items, i.e., floating items, compared to the transport in deeper layers in the water column, including suspended and bed-transported plastic, an extrapolation factor was derived per day for the middle and bottom nets divided by those found in the surface net. The observed macro- and mesoplastic OSPAR categories collected in different layers in the water column were rather consistent between different sampling techniques. Fragments of soft mesoplastic falling under the category “Plastic film plastics 0-2.5 cm (soft)" were recorded most frequently in the investigated rivers with our monitoring techniques. During larvae net monitoring, hard plastics were more frequently found at the river surface than at the middle or bottom of the river for both macroplastic and mesoplastics, while soft plastics were more frequently detected near the bottom. For larvae net monitoring, the extrapolation factor, reflecting the concentration ratio of macroplastic items transport at different depths, i.e., from the surface downwards to the middle and the bottom ranged between 0.38 to 2.2 and 0.36 to 5.7, respectively. The extrapolation factor of mesoplastic transport from the surface downwards to the middle and the bottom ranged between 0.70 to 1.84 and 0.69 to 2.57. During trawl net monitoring, the extrapolation factor, reflecting the concentration ratio, for macroplastic ranged between 0.82 – 1.30, and for mesoplastic between 0.52 – 1.40. Overall, the findings of this study show that estimates of plastic concentrations solely based on surface transport could result in an under- or overestimation of riverine plastic transport.

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河流中的塑料迁移:缩小地表与水柱之间的差距
河流是陆地塑料垃圾进入海洋的重要运输途径。最近,河流还被认为是潜在的塑料汇和库。有关塑料在河流不同深度剖面上迁移的知识仍然有限。在这项研究中,我们使用幼虫网和拖网评估了莱茵河及其两条主要支流(瓦尔河和艾瑟尔河)中大型塑料和中型塑料的垂直分布情况。随后,为了估算塑料制品(即漂浮物)表层迁移量与水体深层迁移量(包括悬浮塑料和床层迁移塑料)之间的关系,得出了中层和底层网每天的外推系数除以表层网发现的塑料制品。不同取样技术在水体不同层收集到的观测到的宏观和中观奥斯巴类别相当一致。在采用我们的监测技术进行调查的河流中,属于 "0-2.5 厘米(软)的塑料薄膜塑料 "类别的软质介塑料碎片出现频率最高。在幼虫网监测过程中,无论是大型塑料还是中型塑料,在河面发现硬塑料的频率都高于河中或河底,而在河底附近发现软塑料的频率更高。在幼虫网监测中,外推系数反映了不同深度(即从表层向下至中层和底层)的大型塑料迁移浓度比,分别介于 0.38 至 2.2 和 0.36 至 5.7 之间。从表层向下至中层和底层的介观迁移率介于 0.70 至 1.84 和 0.69 至 2.57 之间。在拖网监测过程中,反映浓度比值的外推系数,大颗粒塑料介于 0.82 至 1.30 之间,中颗粒塑料介于 0.52 至 1.40 之间。总体而言,本研究的结果表明,仅根据表层迁移量估算塑料浓度可能会导致低估或高估河流塑料迁移量。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
期刊最新文献
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