Wavelet analysis for modeling suspended sediment discharge

AKSOY H., Akar T., Ünal N. E.

NORDIC HYDROLOGY, cilt.35, sa.2, ss.165-174, 2004 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 35 Sayı: 2
  • Basım Tarihi: 2004
  • Doi Numarası: 10.2166/nh.2004.0012
  • Dergi Adı: NORDIC HYDROLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.165-174
  • Anahtar Kelimeler: data generation, stochastic modeling, suspended sediment discharge, wavelet analysis, DECOMPOSITION, GENERATION, RESERVOIRS
  • Akdeniz Üniversitesi Adresli: Hayır

Özet

Wavelets, functions with zero mean and finite variance, have recently been found to be appropriate 0 tools in investigating geophysical, hydrological, meteorological, and environmental processes. In this study, a wavelet-based modeling technique is presented for suspended sediment discharge time series. The model generates synthetic series statistically similar to the observed data. In the model in which the Haar wavelet is used, the available data are decomposed into detail functions. By choosing randomly from among the detail functions, synthetic suspended sediment discharge series are composed. Results are compared with those obtained from a moving-average process fitted to the data set.