River suspended sediment load prediction based on river discharge information: application of newly developed data mining models Article

Salih, Sinan Q, Sharafati, Ahmad, Khosravi, Khabat et al. (2020). River suspended sediment load prediction based on river discharge information: application of newly developed data mining models . HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 65(4), 624-637. 10.1080/02626667.2019.1703186

Open Access International Collaboration

cited authors

  • Salih, Sinan Q; Sharafati, Ahmad; Khosravi, Khabat; Faris, Hossam; Kisi, Ozgur; Tao, Hai; Ali, Mumtaz; Yaseen, Zaher Mundher

sustainable development goals

authors

publication date

  • March 11, 2020

published in

keywords

  • ALGORITHM
  • COMPRESSIVE STRENGTH
  • DIFFUSION-MODEL
  • FLOW
  • FUZZY INFERENCE SYSTEM
  • NEURAL-NETWORKS
  • PERFORMANCE
  • Physical Sciences
  • SUPPORT VECTOR MACHINE
  • Science & Technology
  • TRANSPORT
  • TREE
  • Water Resources
  • data mining models
  • river hydrology
  • stochasticity
  • suspended sediment load
  • watershed management

Digital Object Identifier (DOI)

publisher

  • TAYLOR & FRANCIS LTD

start page

  • 624

end page

  • 637

volume

  • 65

issue

  • 4