Hydrological Texture and Context
PREDICT WATER
Prediction is one of the most powerful ways humans adapt to a changing environment. In hydrology, predicting when, where, and how water moves helps us prepare for floods, droughts, and other unexpected events, while improving how we manage water for agriculture, ecosystems, communities, and future generations.
My research focuses on understanding and predicting water movement across landscapes, watersheds, and groundwater systems. By combining hydrologic modeling, observations, data science, and decision-support tools, I seek to improve our ability to anticipate change, reduce water-related risks, and support more resilient and sustainable water management in a changing climate.
CURRENT RESEARCH PROJECTS
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NSF RAISE: Integrated research on South Florida groundwater hazards, flooding, saltwater intrusion, and nature-based adaptation (2025–2028).
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Everglades restoration: Fine-resolution hydrologic and hydraulic modeling for Water Conservation Area 3 and northern Everglades National Park (2025–2027).
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Lake Okeechobee legacy phosphorus: Recovery and reuse of phosphorus from lake sediments for sustainable agriculture and ecosystem restoration (2025–2029).
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Florida national forests: Hydrologic processes and forest-road erosion under natural disasters (2026–2029).
LONG-TERM RESEARCH PROJECT
Unified Fine-Resolution Large-Scale Hydrology
ModelingHydrologic modeling often faces a tradeoff between spatial detail and modeling extent.
The Unified Fine-Resolution Large-Scale Hydrology Modeling agenda seeks to overcome this limitation by developing modeling approaches that can preserve fine-scale hydrologic information while remaining computationally efficient over large watersheds and regions.
HYSTAR is being advanced under this agenda as a continuous, spatially distributed hydrologic modeling framework.
Building on the time–area concept, HYSTAR is evolving toward a two-dimensional system that represents rainfall, infiltration, runoff generation, flow movement, and watershed response within a unified framework.
Its long-term goal is to provide a scalable modeling platform that can connect local hydrologic processes with watershed- and regional-scale prediction, helping improve flood assessment, water-resource planning, agricultural water management, and adaptation to changing climate and land conditions.
