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

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

Open Access

cited authors

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

sustainable development goals

authors

publication date

  • May 3, 2022

published in

keywords

  • Engineering
  • Engineering, Environmental
  • Environmental Sciences
  • Environmental Sciences & Ecology
  • Gaussian process model
  • Life Sciences & Biomedicine
  • PLUME
  • Science & Technology
  • Technology
  • groundwater contamination
  • machine learning
  • open-source package
  • sensor placement optimization
  • spatial estimation
  • unsupervised learning

Digital Object Identifier (DOI)

start page

  • 5973

end page

  • 5983

volume

  • 56

issue

  • 9