Olyaei Mohammadali, Ebtehaj Ardeshir, Ellis Christopher R
Saint Anthony Falls Laboratory, University of Minnesota, Minneapolis, MN, 55455, USA.
Sci Data. 2024 Nov 20;11(1):1253. doi: 10.1038/s41597-024-03974-x.
Plastic debris pollution transported by river systems to lakes and oceans has emerged as a significant environmental concern with adverse impacts on ecosystems, food webs, and human health. Remote sensing presents a cost-effective approach to bolster interception and removal efforts. However, unlike marine environments, the optical properties of plastic debris in fresh waters remain poorly understood. This study aims to address this gap by providing an open-access hyperspectral reflectance database of floating weathered and virgin plastic debris found in river systems under controlled laboratory experiments. Utilizing natural waters from the Mississippi River, the database was assembled using a remote sensing data acquisition system deployed over a hydraulic flume operating under subcritical flow conditions and varying suspended sediment concentrations. The measurements encompass hyperspectral diffused light reflectance from ultraviolet (UV, 350 nm) to shortwave infrared (SWIR, 2500 nm) wavelengths. The database archived in Network Common Data Form (NetCDF) and Comma-separated values (CSV), offers valuable insights for better understanding key spectral signatures indicative of floating plastic debris, with different fractional abundance, in freshwater ecosystems.
通过河流系统输送到湖泊和海洋的塑料碎片污染已成为一个重大的环境问题，对生态系统、食物网和人类健康产生不利影响。遥感技术提供了一种经济高效的方法来加强拦截和清除工作。然而，与海洋环境不同，淡水环境中塑料碎片的光学特性仍知之甚少。本研究旨在通过提供一个开放获取的高光谱反射率数据库来填补这一空白，该数据库包含在受控实验室实验中在河流系统中发现的漂浮风化塑料碎片和原始塑料碎片。利用密西西比河的天然水，该数据库是使用部署在亚临界流条件和不同悬浮泥沙浓度下运行的水槽上的遥感数据采集系统组装而成的。测量范围包括从紫外（UV，350nm）到短波红外（SWIR，2500nm）波长的高光谱漫反射光。该数据库以网络通用数据格式（NetCDF）和逗号分隔值（CSV）存档，为更好地理解淡水生态系统中不同丰度的漂浮塑料碎片的关键光谱特征提供了有价值的见解。
