Location: Soil and Water Management Research
Project Number: 5062-12130-008-050-R
Project Type: Reimbursable Cooperative Agreement
Start Date: Sep 1, 2024
End Date: Aug 31, 2027
Objective:
Objective 1: Design and Implement a Feedback Controller on a Community-scale Woodchip Bioreactor (WBR) to Optimize NO3- Removal Across Variable Hydrologic and Temperature conditions
Objective 2: Predict Variability in Bioreactor Discharge under Current and Future Climate Conditions to Support Optimal Control Parameters
Approach:
O1: Quantify the Effect of Control Inputs and Environmental Costs of Residual NO3- and Organic Carbon Breakthrough for Expected WBR Operating Conditions, Use Stochastic Optimal Control Theory to Compute Optimal Control Paramaters to Minimize Environmental Cost, and Execute Optimized Feedback Controller on Testbed WBR System
O2: Develop and Evaluate Machine Learning (ML)-enabled Hydrologic Models to Predict Bioreactor Discharge Based on Climate, Retrain the ML-enabled Hydrologic Model to Forecast Bioreactor Discharge, and Develop Long-term Projections of Bioreactor Discharge under Climate Change, and Associated Synthetic Forecasts
O3: Build and Parameterize a Biokinetic Reactive Transport Model for Effects of Control Policies on NO3- Dynamics in WBRs; Perform Model-Based Evaluation of Forecast-informed Real-time Control in Different Locations, Bioreactor Configurations, and Climate Scenarios