使用环境管理数据估计河流中塑料碎片的质量流量:法国塞纳河和Huveaune河。

R. Tramoy, J. Gaspéri, É. Blin, I. Poitou, B. Tassin
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引用次数: 0

摘要

量化河流中塑料运输的方法在过去几年中有了很大的改进。作为第一种方法,目测计数是目前评估塑料运输的最简单的方法,花费最少的精力和成本。与jambeck的方法等模型相比,它通常会导致对海洋塑料输入量的低估,低估幅度约为一到两个数量级。后者显示出统计缺陷和数据可用性问题,导致较大的不确定性,而视觉计数遗漏了水柱区,往往具有较低的时空代表性。为了给出另一种能够挑战模型和视觉计数的真实塑料运输估计,我们基于塞纳河河口(500 m3/s)和Huveaune河(2 m3/s)的环境管理数据开发了创新的方法;法国马赛的)。首先,我们使用了塞纳河河口的机构清洁数据,这些数据包括河岸上的垃圾收集。它们的效率是基于捕获-再捕获设计来测量的。然后,根据一年的捕获率,估计从未收集的塑料碎片(隐藏或太小)的比例,以及所有塑料碎片都在河岸上的假设,计算塑料碎片的质量流量。其次,我们使用了来自Huveaune(一条流经法国南部马赛的小型城市河流)中间隔3厘米的酒吧屏幕的数据。所有的水柱都经过筛选,捕获的废物自动收集到垃圾箱里。在干燥期、潮湿期和洪水期后进行抓取取样。然后计算相应的塑料碎片年质量流量,相对于2017年和2018年这些水文期对应的平均时间分数。将两个流域的塑料碎片年质量流量归一化。虽然方法不同,但人均塑料碎片质量流量非常相似,为8.5 –塞纳河为13.6 g/cap/yr, 2.4 –Huveaune河为14.9 g/cap/年。这比jambeck的方法低一到两个数量级。然而,当关注流入大海的部分时,马赛的沙坝能够使塑料碎片的质量流减少约一个数量级,而河岸的清洁则使其减少约10%。这与河流的性质有关,需要不同的解决方案,筛选整个塞纳河是一个棘手的想法。然而,当归一化到水量时,Huveaune河的污染程度(16.4–102.2 mg/m3)明显比塞纳河河口(9.0–14.5 mg/m3)严重得多。总之,环境管理数据可以帮助估计塑料碎片的质量流动,需要更好地考虑。然而,它们往往需要一个改进的科学框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of environmental management data for mass flow estimations of plastic debris in rivers: The Seine River and The Huveaune River, France.

Methods to quantify plastic transport in rivers have greatly improved during the past few years. As a first approach, visual counting is currently the simplest way to assess plastic transport with minimal effort and cost. It usually results in underestimations of plastic input into the sea of about one to two order of magnitude when compared to models such as the Jambeck’s approach. The latter shows statistical weaknesses and data availability issues leading to large uncertainties, while visual counting miss the water column compartment and often has a low spatiotemporal representativeness. In order to give another ground-truth estimation of plastic transport able to challenge both models and visual counting, we developed innovative methods based on environmental management data in the Seine estuary (500 m3/s) and the Huveaune River ( 2 m3/s; Marseille, France). First, we used data from institutional cleaning in the Seine estuary that consist in litter collection on riverbanks. Their efficiency was measured based on capture-recapture design. Mass flows of plastic debris were then calculated based on the capture rate over one year, the estimation of the fraction of plastic debris which are never collected (hidden or too small) and the assumption that all plastic debris strand on riverbanks. Second, we used data from bar screens spaced of 3 cm in the Huveaune, a small urban river flowing in Marseille, South France. All the water column is screened, and captured waste are automatically collected in dumpsters. Grab sampling were performed after a dry, a wet and a flood period. The corresponding annual mass flows of plastic debris was then calculated relative to the mean fraction of time corresponding to those hydrological periods over 2017 and 2018. Annual mass flows of plastic debris were normalized to the population in both basins. Although methods were different, mass flows of plastic debris per capita are very similar with 8.5 – 13.6 g/cap/yr for the Seine River and 2.4 – 14.9 g/cap/yr for the Huveaune River. This is one to two order of magnitude lower than the Jambeck’s approach. However, when focusing on the fraction ending into the Sea, bar screens in Marseille enable to decrease the mass flow of plastic debris of about one additional order of magnitude, while cleaning of riverbanks decreases it of about 10%. This is related to the nature of the rivers that calls for different solutions, screening the whole Seine River being a tricky idea. Nevertheless, when normalized to water volume, the Huveaune River is visually much more polluted (16.4–102.2 mg/m3) than the Seine estuary (9.0–14.5 mg/m3). In conclusion, environmental management data can help to estimate mass flows of plastic debris and calls for better consideration. However, they often need an improved scientific framework.

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