Dan Obenour
Associate Professor
Forecasting Landscape and Environmental Change, Water Quality Dynamics
Civil, Construction and Environmental Engineering
Bio
Dan uses geospatial analytics to study complex environmental systems; his primary focus is on water quality dynamics in streams, lakes and coastal areas. He develops spatial and spatiotemporal geostatistical models to study hypoxia, harmful algal blooms and other aquatic phenomena. These models help characterize the extent of water quality impairments while also assessing key drivers of spatial and temporal variability. Other interests include environmental forecasting using mechanistic and empirical models with rigorous uncertainty quantification, so that policy makers and the public can be presented with the ranges of likely outcomes associated with different future scenarios, allowing for more informed decision-making.
Publications
- A critical eutrophication-climate change link , NATURE SUSTAINABILITY (2025)
- Characterizing Spatiotemporal Variability in Phosphorus Export across the United States through Bayesian Hierarchical Modeling , ENVIRONMENTAL SCIENCE & TECHNOLOGY (2024)
- Effective Nutrient Management of Surface Waters in the United States Requires Expanded Water Quality Monitoring in Agriculturally Intensive Areas , ACS ENVIRONMENTAL AU (2024)
- Relationships between soil test phosphorus and county-level agricultural surplus phosphorus , JOURNAL OF ENVIRONMENTAL QUALITY (2024)
- Trends and drivers of hypoxic thickness and volume in the Northern Gulf of Mexico: 1985-2018 , (2024)
- Trends and drivers of hypoxic thickness and volume in the northern Gulf of Mexico: 1985-2018 , PLOS ONE (2024)
- Water quality-fisheries tradeoffs in a changing climate underscore the need for adaptive ecosystem-based management , PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2024)
- Advancing freshwater ecological forecasts: Harmful algal blooms in Lake Erie , SCIENCE OF THE TOTAL ENVIRONMENT (2022)
- An estuary stress index based on nekton relationships with thematic watershed stressors , ECOLOGICAL INDICATORS (2023)
- Bayesian hierarchical modeling characterizes spatio-temporal variability in phosphorus export across the contiguous United States , (2023)