Multivariate adaptive regression splines for estimating riverine constituent concentrations

Regression‐based methods are commonly used for riverine constituent concentration/flux estimation, which is essential for guiding water quality protection practices and environmental decision making. This paper developed a multivariate adaptive regression splines model for estimating riverine constituent concentrations (MARS‐EC). The process, interpretability and flexibility of the MARS‐EC modelling approach, was demonstrated for total nitrogen...