Predicting sediment and nutrient concentrations from high-frequency water-quality data
C. Leigh, S. Kandanaarachchi, J. M. McGree, R. J. Hyndman, O. Alsibai, K. Mengersen, E. E. Peterson
The paper develops models to predict sediment and nutrient concentrations using high-frequency sensor data, finding turbidity is a better surrogate for total suspended solids than for oxidized nitrogen.
bioRxiv · Apr 4, 2019Ecology