Dan Obenour

Dan Obenour is an Associate Professor in the Department of Civil, Construction and Environmental Engineering at North Carolina State University. His research focuses on geospatial analytics for studying water quality dynamics in streams, lakes, and coastal areas, with an emphasis on hypoxia, harmful algal blooms, and environmental forecasting. He develops spatial and spatiotemporal geostatistical models to quantify uncertainties in environmental outcomes, aiding policymakers in decision-making under future scenarios. His work integrates field monitoring data, satellite imagery, and experimental results to reduce model uncertainty.

Key research themes include Bayesian hierarchical modeling of phosphorus export, nutrient management strategies in agriculturally intensive regions, and the ecological impacts of hypoxia on fisheries. His team collaborates with NOAA and produces annual hypoxia forecasts for the Gulf of Mexico, emphasizing the interplay between climate change and water quality.

Publications highlight trends in Gulf hypoxia drivers, phosphorus dynamics across the U.S., and the ecological trade-offs of water quality improvements. While no formal awards are listed here, his contributions to environmental modeling and policy-relevant forecasting are substantial. His lab’s experimental shrimp distribution forecasts for the Louisiana-Texas shelf demonstrate applied impacts of his research. Dan’s work bridges mechanistic and empirical approaches, prioritizing rigorous uncertainty quantification to enhance environmental management practices.