Predicting high-frequency variation in stream solute concentrations with water quality sensors and machine learning Article

Green, Mark B, Pardo, Linda H, Bailey, Scott W et al. (2021). Predicting high-frequency variation in stream solute concentrations with water quality sensors and machine learning . HYDROLOGICAL PROCESSES, 35(1), 10.1002/hyp.14000

Open Access

cited authors

  • Green, Mark B; Pardo, Linda H; Bailey, Scott W; Campbell, John L; McDowell, William H; Bernhardt, Emily S; Rosi, Emma J

authors

publication date

  • January 1, 2021

published in

keywords

  • ALUMINUM
  • BROOK-EXPERIMENTAL-FOREST
  • CHEMISTRY
  • LANDSCAPE POSITION
  • NEW-HAMPSHIRE
  • NITRATE
  • NITROGEN
  • NORTHERN HARDWOOD FOREST
  • Physical Sciences
  • SUPPORT VECTOR MACHINE
  • Science & Technology
  • TURBIDITY
  • Water Resources
  • biogeochemistry
  • machine learning
  • stream solutes
  • water quality

Digital Object Identifier (DOI)

publisher

  • WILEY

volume

  • 35

issue

  • 1