Abstract: Water resources optimization models often use spatial numerical models to approximate the physics of natural systems. The discretization of the numerical grids can affect their search for optimal solutions, in terms of ...

Abstract: Optimization for water resources management typically requires many simplifying assumptions about the definition and characteristics of the policy or design application in order to express decision makers’ criteria as ...

Abstract: Characterization of nonstationarity in drought metrics due to the effects of combined forcings of natural climate variability and anthropogenic climate change are critical to effective adaptive management of future droughts. ...

Abstract: This study evaluates the selection of predictor variables for machine learning (ML) models of stream temperatures affected by riparian shading. Two scenarios of model development were examined—ML models for the prediction ...

Abstract: Limited data exist on the stormwater characteristics and treatment of maintenance and services (M&S) facilities. Such facilities are generally dynamic in land use and support diverse operations. This study characterized ...