A Random Forest approach to predict the spatial distribution of sediment pollution in an estuarine system

Abstract

Modeling the magnitude and distribution of sediment-bound pollutants in estuaries is often limited by incomplete knowledge of the site and inadequate sample density. To address these modeling limitations, a decision-support tool framework was conceived that predicts sediment contamination from the sub-estuary to broader estuary extent. For this study, a… (More)
DOI: 10.1371/journal.pone.0179473

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