Prediction of Water Distribution System Contamination Based on Wildfire Burn Severity in Wildland Urban Interface Communities in ACS EST Water

Simulation of Heat Transfer Through Soil for the Investigation of Wildfire Impacts on Buried Utilities – Oregon State University graduate student project report

Predicting conditional maximum contaminant level exceedance probabilities for drinking water after wildfires with Bayesian regularized network ensembles in Machine Learning with Applications.

Simulation of Heat Transfer Through Soil for the Investigation of Wildfire Impacts on Buried Pipelines in Fire Technology

Application of deep convolutional networks for improved risk assessments of post-wildfire drinking water contamination in Machine Learning with Applications

Behavior of Service Lateral Pipes during Wildfires: Testing Methodologies and Impact on Drinking Water Contamination in ACS EST Water