Using Water Quality as a Proxy to Estimate Microplastic Concentrations in the New River, VA, via Sentinel 2

Microplastics (<5mm), are pervasive in Earth’s environments, and rivers are a major transport pathway. Microplastic detection methods that rely on counting individual particles are time consuming and require laborious field collection, inhibiting real-time insights over large spatial extents, which are needed in order to better understand the issue. Satellite remote sensing has been used to estimate water quality in rivers with relatively high spatial and temporal coverage. Finding a correlation between water quality and microplastics could allow us to estimate microplastics in rivers via satellite imagery using water quality as a proxy. Though a handful of these assessments have been done, a wide-variety of study sites are needed to form a coherent model. We focused our study in the New River near Blacksburg, VA, and collected weekly water quality measurements and surface-water microplastic samples. We combined these in situ measurements with cotemporal remotely-sensed water quality index observations from Sentinel-2 to develop a model estimating microplastic concentration. We validated the model using in-situ spectrometry and water quality measurements. By providing more observations than what can be done with in situ sampling alone, we can improve large-scale microplastic analyses and modeling leading to better assessments of mismanaged plastic waste in Earth’s rivers.