A methodology for quantifying and characterizing litter from trash capture devices (TCDs) to measure impact and inform upstream solutions

IF 2.9 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Facets Pub Date : 2023-01-01 DOI:10.1139/facets-2022-0034
C. Sherlock, R. F. Gutierrez, Michael David, C. Rochman
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引用次数: 0

Abstract

Trash capture devices (TCDs) are a rapidly evolving tool for municipal governments, non-governmental organizations, and industries to divert litter from our waterways. Here, we introduce protocols to initiate trash trapping projects to quantify and characterize captured anthropogenic litter based on a case study using Seabins. In addition, we have introduced a network for global data collection via TCDs. Our first protocol is a visual audit of the potential site to inform the type and location for TCD deployment. Our next two protocols quantify and characterize the litter captured by TCDs: (1) a simple protocol intended for daily monitoring and (2) a detailed protocol to characterize and quantify all large debris (>3 cm) and a subset of the small debris (2 mm–3 cm) caught in the devices. Using Seabins in the Toronto Harbour to test our methodology, we found that our subsampling methodology has a 6.9% error rate. Over a 19-week period, the Seabins captured ∼85 000 pieces of small debris. Our study highlights the utility of TCDs and proposes methods to realize this utility globally. TCDs should become more widespread and utilized as a triple threat: a cleanup tool, a data collection tool, and a platform for outreach and education.
一种量化和表征垃圾捕获装置(TCD)垃圾的方法,用于测量影响并为上游解决方案提供信息
垃圾收集装置(TCD)是市政府、非政府组织和行业转移水道垃圾的一种快速发展的工具。在这里,我们介绍了启动垃圾捕获项目的协议,以基于使用Seabins的案例研究来量化和表征捕获的人为垃圾。此外,我们还建立了一个通过技合收集全球数据的网络。我们的第一个方案是对潜在地点进行视觉审计,以告知TCD部署的类型和位置。我们接下来的两个方案对TCD捕获的垃圾进行了量化和表征:(1)一个用于日常监测的简单方案和(2)一个表征和量化所有大型碎片的详细方案(>3 cm)和小碎片的子集(2 毫米-3 cm)。使用多伦多港的Seabins来测试我们的方法,我们发现我们的二次采样方法有6.9%的错误率。在19周的时间里,海宾斯捕获了~85 000块小碎片。我们的研究强调了技合的效用,并提出了在全球实现这一效用的方法。技合应更加广泛,并作为三重威胁加以利用:一个清理工具,一个数据收集工具,以及一个外联和教育平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Facets
Facets MULTIDISCIPLINARY SCIENCES-
CiteScore
5.40
自引率
6.50%
发文量
48
审稿时长
28 weeks
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