PyLEnM: A Machine Learning Framework for Long-Term Groundwater Contamination Monitoring Strategies

Aurelien O. Meray; Savannah Sturla; Masudur R. Siddiquee; Rebecca Serata; Sebastian Uhlemann; Hansell Gonzalez-Raymat; Miles Denham; Himanshu Upadhyay; Leonel E. Lagos; Carol Eddy-Dilek; Haruko M. Wainwright

doi:10.1021/acs.est.1c07440

journal article Open Access Apr 15, 2022

PyLEnM: A Machine Learning Framework for Long-Term Groundwater Contamination Monitoring Strategies

Savannah Sturla Masudur R. Siddiquee Rebecca Serata Sebastian Uhlemann Hansell Gonzalez-Raymat Miles Denham Himanshu Upadhyay

Leonel E. Lagos Carol Eddy-Dilek Haruko M. Wainwright

Environmental Science & Technology Vol. 56 No. 9 pp. 5973-5983 · American Chemical Society (ACS)

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References

Details

Published: Apr 15, 2022
Vol/Issue: 56(9)
Pages: 5973-5983
License: View

Authors

A

Aurelien O. Meray

Applied Research Center, Florida International University, 10555 W Flagler Street, Miami, Florida 33174, United States

S

Savannah Sturla

Department of Environmental Science, Policy, and Management, University of California Berkeley, Mulford Hall, 2521 Hearst Avenue, Berkeley, California 94709, United States

M

Masudur R. Siddiquee

Applied Research Center, Florida International University, 10555 W Flagler Street, Miami, Florida 33174, United States

R

Rebecca Serata

Department of Civil and Environmental Engineering, University of California Berkeley, Davis Hall, 2521 Hearst Avenue, Berkeley, California 94709, United States

S

Sebastian Uhlemann

Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, MS 74R-316C, Berkeley 94704, United States

H

Hansell Gonzalez-Raymat

Savannah River National Laboratory, Savannah River Site, Aiken, South Carolina 29808, United States

M

Miles Denham

Panoramic Environmental Consulting, LLC, P.O. Box 906, Aiken, South Carolina 29802, United States

H

Himanshu Upadhyay

Applied Research Center, Florida International University, 10555 W Flagler Street, Miami, Florida 33174, United States

L

Leonel E. Lagos

Applied Research Center, Florida International University, 10555 W Flagler Street, Miami, Florida 33174, United States

C

Carol Eddy-Dilek

Savannah River National Laboratory, Savannah River Site, Aiken, South Carolina 29808, United States

H

Haruko M. Wainwright

Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, MS 74R-316C, Berkeley 94704, United States; Department of Nuclear Science & Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA

Funding

Lawrence Berkeley National Laboratory Award: DE-AC02-05CH11231

Office of Environmental Management Award: DE-EM0005213

Cite This Article

Aurelien O. Meray, Savannah Sturla, Masudur R. Siddiquee, et al. (2022). PyLEnM: A Machine Learning Framework for Long-Term Groundwater Contamination Monitoring Strategies. Environmental Science & Technology, 56(9), 5973-5983. https://doi.org/10.1021/acs.est.1c07440

PyLEnM: A Machine Learning Framework for Long-Term Groundwater Contamination Monitoring Strategies

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