Quantifying hourly suspended sediment load using data mining models: Case study of a glacierized Andean catchment in Chile Article

Khosravi, Khabat, Mao, Luca, Kisi, Ozgur et al. (2018). Quantifying hourly suspended sediment load using data mining models: Case study of a glacierized Andean catchment in Chile . JOURNAL OF HYDROLOGY, 567 165-179. 10.1016/j.jhydrol.2018.10.015

International Collaboration

cited authors

  • Khosravi, Khabat; Mao, Luca; Kisi, Ozgur; Yaseen, Zaher Mundher; Shahid, Shamsuddin

sustainable development goals

authors

publication date

  • December 1, 2018

published in

keywords

  • ARTIFICIAL-INTELLIGENCE
  • Data mining models
  • Engineering
  • Engineering, Civil
  • Geology
  • Geosciences, Multidisciplinary
  • Glacierized Andes catchment
  • Hourly time scale
  • MANAGEMENT
  • PREDICTION
  • Physical Sciences
  • RANDOM SUBSPACE ENSEMBLES
  • SYSTEMS
  • Science & Technology
  • Suspended sediment load
  • Technology
  • Water Resources

Digital Object Identifier (DOI)

publisher

  • ELSEVIER

start page

  • 165

end page

  • 179

volume

  • 567