2 citations · 2 across the 4 of their papers we have counts for
4 papers
Comparison of generative algorithms for conceptual groundwater modeling of coastal volcanic aquifer features with disparate, sparse and extremely imbalanced data
Michael J. Friedel
In coastal volcanic aquifers, the reliability of freshwater seawater-exchange simulations are governed by accuracy of the conceptual groundwater model (CGM). The traditional CGMs a…
A machine learning algorithm for predicting naturalized flow duration curves at human influenced sites and multiple catchment scales
Michael J. Friedel, Dave Stewart, Xiao Feng Lu +3
Regional flow duration curves (FDCs) often reflect streamflow influenced by human activities. We propose a new machine learning algorithm to predict naturalized FDCs at human influ…
Multiphysics-decision tree learning for improved variably saturated subsurface parameter estimation and reduced-order simulation
Michael J Friedel, Massimo Buscema
A novel multiphysics-decision tree learning algorithm is presented for (1) estimating transport properties in the variably saturated subsurface governed by explicitly coupled equat…
A simple stacked ensemble machine learning model to predict naturalized catchment hydrology and allocation status
Michael J. Friedel, Dave Stewart, Xiao Feng Lu +3
New Zealand legislation requires that Regional Councils set limits for water resource usage to manage the effects of abstractions in over-allocated catchments. We propose a simple…