Agricultural and Life Sciences (IFAS)
Hydrology and Water Quality Program
Led by Rafael Muñoz-Carpena · Agricultural and Biological Engineering
What we study
The Muñoz-Carpena Lab studies water movement and pollution in ecosystems using computer models and field research. They analyze how human activities affect water quality and develop tools to manage water resources sustainably.
What working here is like
- Fieldwork
- Wet lab
- Computational
- Coding helps
- Projects
- 3
- Papers
- 5
Current projects
Experimental Study of Pesticides Residues in Grass Bufferstrips
A laboratory setup to study how grass buffers remove pesticides and what happens to the residues over time.
Modeling Vegetation Dynamics in the Everglades
Computer models of how vegetation affects water flow and quality in the Everglades.
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Water Sustainability in the Tempisque Basin NW Costa Rica
Sustainable water management in a Costa Rican basin using hydrological models.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Field-scale root-zone soil moisture mapping in sandy soils with L-band radiometry and hybrid radiative transfer – machine learning modeling
2026 · Agricultural Water Management
Develops a method to map soil moisture in sandy fields using satellite data and machine learning.
- Ball-Milled Spent Coffee Ground Biochar Effectively Removes Caffeine from Water
2025 · Water
Shows that grinding coffee waste into biochar can remove caffeine from water.
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- Caffeine removal in wastewater: a comprehensive review of current treatment plants and small-scale innovations
2025 · Environmental Technology Reviews
Reviews how wastewater treatment plants handle caffeine removal from water.
- Differential water and imidacloprid transport under unsaturated Florida citrus field conditions
2025 · Vadose Zone Journal
Tests how water and pesticides move in citrus fields to help manage irrigation and pest control.
- Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
2025 · The Plant Phenome Journal
Explores how artificial intelligence can improve plant phenomics for crop research.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Rafael Muñoz-Carpena hasn't set up this page yet. Their UF Scholars profile lists their publications.