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对于海塑料垃圾的连续质量和尺寸分布:丰富度和组成的时空分析

Anne Grundlehner¹, Noël J Diepens¹, Theo Linders²

¹Aquatic Ecology and Water Quality Management Group, Wageningen University & Research, P.O. Box 47, 6700 AA Wageningen, the Netherlands.

Journal of hazardous materials

|July 8, 2023

概括

这项研究分析了20年的沙垃圾数据,揭示了塑料污染的显著空间变化和时间趋势. 一种新方法通过计数来估计塑料的重量,改善了海洋垃圾监测.

科学领域:

环境科学环境科学
海洋生物学海洋生物学
污染研究污染研究

背景情况:

海是海洋塑料积累和全球污染监测的关键地点.
现有的海塑料监测方法主要产生计数数据,限制了塑料重量和时间趋势的分析.
关于海洋塑料污染的时间动态,存在重大知识差距.

研究的目的:

分析海上的塑料丰富度和成分的空间和时间趋势.
从计数数据开发一种估计塑料总重量的方法.
为了确定沙塑料碎片的尺寸和重量,建立概率密度函数 (PDF).

主要方法:

利用了2001年至2020年的OSPAR沙垃圾监测数据.
为75个宏观塑料类别建立了尺寸和重量范围,以估计塑料总重量.
应用通用概率密度函数 (PDF) 来描述塑料物品尺寸和重量分布.

主要成果:

在海上观察到大量塑料垃圾的空间差异很大.
大多数单独的海显示出可见的塑料积累时间趋势.
塑料组成的变化主要与总塑料丰度的差异有关.
开发并验证了一种从计数数据中估计塑料重量的方法.

结论:

该研究解决了了解时间趋势和估计浅塑料垃圾重量的关键知识差距.
从计数数据中估计塑料重量的开发方法增强了海塑料数据在海洋垃圾监测中的应用.
这些发现为海洋塑料污染的空间和时间动态提供了新的见解,有助于科学理解和监测工作.

关键词:

环境污染环境污染垃圾多样性的垃圾多样性巨型塑料是什么巨型塑料是什么海洋环境海洋环境这就是OSPARAR.概率密度函数是一个概率密度函数.

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