Applying the C-Factor of the RUSLE Model to Improve the Prediction of Suspended Sediment Concentration Using Smart Data-Driven Models Article

Asadi, Haniyeh, Dastorani, Mohammad T, Khosravi, Khabat et al. (2022). Applying the C-Factor of the RUSLE Model to Improve the Prediction of Suspended Sediment Concentration Using Smart Data-Driven Models . 14(19), 10.3390/w14193011

Open Access International Collaboration

keywords

  • ANN
  • ARTIFICIAL NEURAL-NETWORK
  • BED-LOAD
  • Environmental Sciences
  • Environmental Sciences & Ecology
  • FUZZY INFERENCE SYSTEM
  • Life Sciences & Biomedicine
  • MACHINE
  • Physical Sciences
  • RIVER
  • RUNOFF
  • SIMULATION
  • Science & Technology
  • TIME-SERIES
  • TRANSPORT
  • Water Resources
  • artificial neural network
  • intelligent algorithm
  • revised universal soil loss equation
  • support vector machine
  • suspended sediment

Digital Object Identifier (DOI)

publisher

  • MDPI

volume

  • 14

issue

  • 19