Agricultural and Life Sciences (IFAS)
Golmohammadi Lab
Led by Golmar Golmohammadi · Soil, Water, and Ecosystem Sciences
What we study
The Golmohammadi Lab studies water management and quality using computer models like SWAT and DRAINMOD. They focus on climate change impacts on watersheds and irrigation systems.
What working here is like
- Computational
- No organisms (data only)
- Coding helps
- Project
- 1
- Papers
- 5
Current projects
Modelling Impact of Climate Change on Surface Water Availability Using SWAT Model
This project uses the SWAT model to study how climate change affects water availability in semi-arid basins.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Leveraging advanced deep learning models for large-scale hydrological forecasting in Florida
2026 · Stochastic Environmental Research and Risk Assessment
- Enhancing Florida’s Groundwater Forecasting: A Hybrid Machine Learning Framework with Probabilistic Optimization and Smart Feature Selection
2026 · Natural Resources Research
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- Reservoir Inflow Forecasting with Clustering vs. Climate Precipitation Prediction; Case Study: Amir Kabir Dam, Iran
2026 · Water Resources
Compared methods for forecasting reservoir inflows using climate data.
- Interpretable deep-learning DRASTIC for statewide nitrate-vulnerability mapping in Florida's surficial aquifer system
2026 · Progress in Disaster Science
Used deep learning to map nitrate vulnerability in Florida's groundwater.
- Nitrogen Rate Effects on Silage Corn Yield and Nitrate Dynamics in Florida Sandy Soils
2026 · Agronomy
Tested how different nitrogen rates affect silage corn yield and nitrate levels in Florida soils.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Golmar Golmohammadi hasn't set up this page yet. Their UF Scholars profile lists their publications.