Suppr超能文献

追寻消失的塑料:河流塑料输入海洋的巨大不确定性。

The quest for the missing plastics: Large uncertainties in river plastic export into the sea.

机构信息

European Commission Joint Research Centre, Directorate D-Sustainable Resources-Bio-Economy Unit, Italy; Institute for Atmospheric and Climate Science, Eidgenössische Technische Hochschule Zürich, Switzerland.

Climate and Environmental Physics, University of Bern, Switzerland; Oeschger Centre for Climate Change Research, University of Bern, Switzerland.

出版信息

Environ Pollut. 2022 Nov 1;312:119948. doi: 10.1016/j.envpol.2022.119948. Epub 2022 Aug 24.

Abstract

Plastic pollution in the natural environment is causing increasing concern at both the local and global scale. Understanding the dispersion of plastic through the environment is of key importance for the effective implementation of preventive measures and cleanup strategies. Over the past few years, various models have been developed to estimate the transport of plastics in rivers, using limited plastic observations in river systems. However, there is a large discrepancy between the amount of plastic being modelled to leave the river systems, and the amount of plastic that has been found in the seas and oceans. Here, we investigate one of the possible causes of this mismatch by performing an extensive uncertainty analysis of the riverine plastic export estimates. We examine the uncertainty from the homogenisation of observations, model parameter uncertainty, and underlying assumptions in models. To this end, we use the to-date most complete time-series of macroplastic observations (macroplastics have been found to contain most of the plastic mass transported by rivers), coming from three European rivers. The results show that model structure and parameter uncertainty causes up to four orders of magnitude, while the homogenisation of plastic observations introduces an additional three orders of magnitude uncertainty in the estimates. Additionally, most global models assume that variations in the plastic flux are primarily driven by river discharge. However, we show that correlations between river discharge (and other environmental drivers) and the plastic flux are never above 0.5, and strongly vary between catchments. Overall, we conclude that the yearly plastic load in rivers remains poorly constrained.

摘要

自然环境中的塑料污染正在引起当地和全球范围内越来越多的关注。了解塑料在环境中的分散情况对于实施预防措施和清理策略至关重要。在过去的几年中,已经开发了各种模型来估算河流中塑料的运输情况,这些模型使用了河流系统中有限的塑料观测数据。然而,模型模拟离开河流系统的塑料量与在海洋中发现的塑料量之间存在很大差异。在这里,我们通过对河流塑料出口估算进行广泛的不确定性分析来研究这种不匹配的一个可能原因。我们检查了观测数据的同化、模型参数不确定性和模型中基本假设的不确定性。为此,我们使用了目前最完整的来自三条欧洲河流的宏观塑料观测时间序列(宏观塑料已被发现含有河流输送的大部分塑料质量)。结果表明,模型结构和参数不确定性导致了高达四个数量级的不确定性,而塑料观测数据的同化又在估算中引入了另外三个数量级的不确定性。此外,大多数全球模型都假设塑料通量的变化主要是由河流流量驱动的。然而,我们表明,河流流量(和其他环境驱动因素)与塑料通量之间的相关性从未超过 0.5,并且在不同的集水区之间差异很大。总的来说,我们得出结论,河流中的年塑料负荷仍然难以确定。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验