Dipartimento di Scienze della Terra e del Mare, Università degli Studi di Palermo, Palermo, Italy.
Dipartimento di Ingegneria, Università degli Studi di Palermo, Palermo, Italy.
Sci Rep. 2020 Nov 16;10(1):19850. doi: 10.1038/s41598-020-74543-6.
Around 350 million tonnes of plastics are annually produced worldwide. A remarkable percentage of these products is dispersed in the environment, finally reaching and dispersed in the marine environment. Recent field surveys detected microplastics' concentrations in the Mediterranean Sea. The most commonly polymers found were polyethylene, polypropylene and viscose, ethylene vinyl acetate and polystyrene. In general, the in-situ monitoring of microplastic pollution is difficult and time consuming. The main goals of this work were to spectrally characterize the most commonly polymers and to quantify their spectral separability that may allow to determine optimal band combinations for imaging techniques monitoring. The spectral signatures of microplastics have been analysed in laboratory, both in dry condition and on water surface, using a full spectrum spectroradiometer. The theoretical use of operational satellite images for remote sensing monitoring was investigated by quantifying the spectral separability achievable by their sensors. The WorldView-3 sensor appears the most suitable for the monitoring but better average spectral separability are expected using the recently released PRISMA images. This research was preparatory to further outdoor experiments needed to better simulate the real acquisition condition.
全球每年大约生产 3.5 亿吨塑料。这些产品中有相当大的一部分在环境中分散，最终到达并分散在海洋环境中。最近的实地调查检测到地中海微塑料的浓度。最常见的聚合物是聚乙烯、聚丙烯和粘胶纤维、乙烯-醋酸乙烯酯和聚苯乙烯。一般来说，微塑料污染的原位监测既困难又耗时。这项工作的主要目标是对最常见的聚合物进行光谱特征描述，并量化它们的光谱可分离性，这可能允许确定用于成像技术监测的最佳波段组合。使用全光谱分光辐射计，在实验室中对干燥条件下和水面上的微塑料的光谱特征进行了分析。通过量化其传感器可实现的光谱可分离性，研究了使用运行卫星图像进行遥感监测的理论用途。WorldView-3 传感器似乎最适合监测，但使用最近发布的 PRISMA 图像，预计会有更好的平均光谱可分离性。这项研究是为了进一步进行户外实验做准备，以更好地模拟实际采集条件。
