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Mission:
To apply expertise in environmental engineering and data mining, especially Machine Learning, to understand and address the per-and polyfluoroalkyl substances (PFAS) contamination problems.
Machine Learning for Monitoring PFAS in California's Wastewater Treatment Plants: An Assessment of Occurrence and Fate (Journal of Hazardous Materials Under Review)
ML prediction website: https://pfas-classification-website.streamlit.app/
PFAS concentration increases after treatment
Over half of WWTPs exceed the 70 ng/L PFAS advisory level
An In-depth Analysis of PFAS Data Availability and Pollution Status in U.S. Water and Soil: Challenges and Implications
Highlights
The limited availability of comprehensive data on PFAS in soil poses a significant challenge for researchers and policymakers.
Existing data falls short in enabling a holistic understanding of PFAS distribution in groundwater, surface water, and soil, hindering effective management and modeling efforts.
Future data enhancements should prioritize standardization, improved accessibility, and increased detail to address the gaps in our knowledge.
We advocate for the establishment of a coordinated and sustainable open-access data framework to support informed decision-making regarding PFAS-related challenges.
Analysis and Prediction of the PFAS Contamination in U.S.
Climate Change Impacts on Groundwater Quality (CNN-based ML Prediction)
On the nature of PFAS in cloud water (Collaborative Project) (Science Advances Under Review)
Spatial distribution and abundance of PFAS in cloud water
Back-trajectories for cloud water samples containing various types and levels of PFAS
Impact of Wildland Fires on PFAS Release and Transformation
The project aims to simulate wildfire effects through combustion experiments, quantify PFAS release and transformation by identifying total and target PFASs, and assess the impact of wildland fires on the formation and redistribution of PFAS.
What Happened in Surface Water after a Wildland-Urban Interface Fire: PFAS, Microbiome, and Pyrogenic Carbon? (Collaborative Project)
Investigated the impact of post-fire storms on surface water quality in a WUI area in Orange County, CA, uncovering significant microbial adaptations for PAH degradation, indicative of complex environmental responses to wildfire-related contaminants.
Temporal Dynamics of 6:2 FTS Concentration
PAH Fate in Ocean Oil Spills (Collaborative Project)
Late on the evening of October 1, 2021, the San Pedro Bay Pipeline (Pipeline P00547) broke and spilled crude oil into the waters 4.5 miles offshore of Huntington Beach, California.
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