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My research investigates geochemical processes that influence the fate and transport of contaminants in the environment. Below are selected projects spanning sorption processes, coastal biogeochemistry, and reactive transport modeling.
Lake chemistry
Lake chemistry
Understanding how redox-sensitive elements such as iron and organic carbon behave under thermally stratified conditions is critical for predicting the biogeochemical functioning and water quality of freshwater reservoirs. In small, seasonally stratified lakes, the formation of a thermocline creates a sharp physical and chemical boundary that controls oxygen distribution, redox conditions, and the transformation and mobility of particulate and dissolved materials.
We are working on lake thermocline effect on the balance between the sediment and the water influence water quality.
Project Link https://ess.science.energy.gov/llnl-actinides-sfa/
Select Papers:
https://www.sciencedirect.com/science/article/abs/pii/S0048969725009738?via%3Dihub
https://www.sciencedirect.com/science/article/abs/pii/S0048969722064191
News mentions:
https://blogs.clemson.edu/environmental-engineering-and-earth-science/lakes-ponds-and-ecosystems/
Actinide Sorption Modeling
Actinide Sorption Modeling
Actinides such as uranium, neptunium, and plutonium pose long-term challenges for nuclear waste management and contaminated site remediation. By combining experimental data with surface complexation models, we aim to capture the chemical processes that control actinide retention and release, helping to improve risk assessments and guide more effective strategies for protecting water resources and ecosystems.
Selected papers:
https://www.sciencedirect.com/science/article/pii/S0883292725001891
https://link-springer-com.libproxy.clemson.edu/article/10.1007/s12665-018-7316-7
Database Visualization Website
Database Visualization Website
The Surface Complexation/Ion Exchange (L-SCIE) Database provides a consistent set of thermodynamic constants and digitized sorption data to improve predictions of radionuclide behavior at mineral–water interfaces. A recent update added key radionuclide sorption data on iron (hydr)oxides formed during steel corrosion, expanding its value for nuclear waste performance assessments. To make this powerful but technically demanding resource more accessible, we developed an interactive web tool that lets users explore, compare, and analyze L-SCIE data through visualizations and statistical tools like PCA and clustering. This free platform lowers the computational barrier and enables researchers to quickly investigate sorption trends with just a few clicks.
Visite the website:
https://lscie-viz-app.shinyapps.io/viz-app/
Aquatic Data science
Aquatic Data science
Uncertainty Analysis
Uncertainty Analysis
Instrument Design
Instrument Design
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