Suspended sediment load prediction of river systems: An artificial neural network approach Article

Melesse, AM, Ahmad, S, McClain, ME et al. (2011). Suspended sediment load prediction of river systems: An artificial neural network approach . AGRICULTURAL WATER MANAGEMENT, 98(5), 855-866. 10.1016/j.agwat.2010.12.012

International Collaboration

cited authors

  • Melesse, AM; Ahmad, S; McClain, ME; Wang, X; Lim, YH

sustainable development goals

authors

publication date

  • March 1, 2011

published in

keywords

  • ARMA
  • Agriculture
  • Agronomy
  • Artificial neural network (ANN)
  • Autoregressive integrated moving average (ARIMA)
  • DECISION-SUPPORT-SYSTEM
  • FLOW MODELS
  • HYDROGRAPH
  • Life Sciences & Biomedicine
  • Mississippi
  • Missouri
  • Multiple linear regressions (MLR)
  • Multiple non-linear regression (MNLR)
  • OPTIMIZATION
  • PARAMETERS
  • Physical Sciences
  • RUNOFF
  • Rio Grande
  • Science & Technology
  • Sediment prediction
  • TRANSPORT
  • WATER-QUALITY MANAGEMENT
  • Water Resources
  • YIELD

Digital Object Identifier (DOI)

publisher

  • ELSEVIER SCIENCE BV

start page

  • 855

end page

  • 866

volume

  • 98

issue

  • 5