Computational models to confront the complex pollution footprint of plastic in the environment
Computational models to confront the complex pollution footprint of plastic in the environment
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DOI：
10.1038/s43588-023-00445-y
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发表时间：
2023-06-01
期刊：
影响因子：
--
通讯作者：
Praetorius，Antonia
中科院分区：
文献类型：
--
作者：
MacLeod，Matthew;Domercq，Prado;Praetorius，Antonia
由于对塑料污染的来源、运输、转化和清除过程以及塑料污染本身的性质的不确定和未知，对塑料在环境中构成的威胁的描述很差。塑料造成了各种成分、大小和形状的颗粒物污染的足迹，以及化学物质的光环。在这个视角下，我们认为，基于过程的质量平衡模型可以提供一个平台，以综合关于塑料污染的知识，作为其可测量的内在属性的函数。
The threat posed by plastic in the environment is poorly characterized due to uncertainties and unknowns about sources, transport, transformation and removal processes, and the properties of the plastic pollution itself. Plastic creates a footprint of particulate pollution with a diversity of composition, size and shape, and a halo of chemicals. In this Perspective, we argue that process-based mass-balance models could provide a platform to synthesize knowledge about plastic pollution as a function of its measurable intrinsic properties.