Jialin Dong, Gabriel Tsai, and Christopher I. Olivares*
ACS EST Water 2024, 4, 3, 969–981
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Reconstruction of PFAS recent maps in California groundwater. (A) The distribution map of the perfluoropentanoic acid (PFPeA) contamination risk in all groundwater wells in 2019. (B) The distribution map of the PFPeA contamination risk in all groundwater wells in 2020. (C) The distribution map of the 4:2 fluorotelomer sulfonate (FTS) contamination risk in all groundwater wells in 2021. Circles depict the wells that measured PFASs.
Jialin Dong, Katherine Sitler, Joseph Scalia, Yunhao Ge, Paul Bireta, Natasha Sihota, Thomas P. Hoelen, and Gregory V. Lowry*
Applied Sciences. 2022; 12 (17):8865.
This paper introduces the concept of a subaquatic sediment oil sheen screening system (OS-SS), and develops a novel oil sheen detection system to autonomously monitor the sediment’s sheening potential after disturbance with compressed air or water.
We developed an Oil Sheen Prediction Neural Network (OS-Net), a Convolutional Neural Network (CNN), combined with transfer learning, to achieve real-time image-based oil sheen prediction from video, and applied the model in a simulation of the OS-SS. The accuracy of OS-Net is up to 99%.
Ivan A. Titaley*, Jared Khattak, Jialin Dong, Christopher I. Olivares, Bill DiGuiseppi, Christopher C. Lutes, and Jennifer A. Field
Environ. Sci. Technol. 2022, 56, 15, 10785–10797
Lopes, A. Rita, Wang, Hairong, a Dong, Jialin, Han, Joonkyoung, Hatakeyama, Evan S., Hoelen, Thomas P., Lowry, Gregory V*
Desalination. 2022, 543, 116104.
DONG Jia-Lin, FU Shuang, ZHOU Hao, LI Tian-Yi, QIN Chuan-Yu*
China Environmental Science. 2019, 39(11): 4730-4736.
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