IMHE OpenIR  > Journal of Mountain Science  > Journal of Mountain Science-2015  > Vol12 No.1
Daily and Monthly Suspended Sediment Load Predictions Using Wavelet Based Artificial Intelligence Approaches
Vahid NOURANI; Gholamreza ANDALIB
Corresponding AuthorVahid NOURANI
2015-01
Source PublicationJournal of Mountain Science
Volume12Issue:1Pages:85-100
AbstractIn the current study, the efficiency of Wavelet-based Least Square Support Vector Machine (WLSSVM) model was examined for prediction of daily and monthly Suspended Sediment Load (SSL) of the Mississippi River. For this purpose, in the first step, SSL was predicted via ad hoc LSSVM and Artificial Neural Network (ANN) models; then, streamflow and SSL data were decomposed into sub-signals via wavelet, and these decomposed sub-time series were imposed to LSSVM and ANN to simulate discharge-SSL relationship. Finally, the ability of WLSSVM was compared with other models in multi-step-ahead SSL predictions. The results showed that in daily SSL prediction, LSSVM has better outcomes with Determination Coefficient (DC)=0.92 than ad hoc ANN with DC=0.88. However unlike daily SSL, in monthly modeling, ANN has a bit accurate upshot. WLSSVM and wavelet-based ANN (WANN) models showed same consequences in daily and different in monthly SSL predictions, and adding wavelet led to more accuracy of LSSVM and ANN. Furthermore, conjunction of wavelet to LSSVM and ANN evaluated via multi-step-ahead SSL predictions and, e.g., DCLSSVM=0.4 was increased to the DCWLSSVM=0.71 in 7-day ahead SSL prediction. In addition, WLSSVM outperformed WANN by increment of time horizon prediction.
KeywordSuspended Sediment Load Least Square Support Vector Machine (Lssvm) Wavelet Artificial Neural Network (Ann) Mississippi River
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/7694
CollectionJournal of Mountain Science_Journal of Mountain Science-2015_Vol12 No.1
Corresponding AuthorVahid NOURANI
Recommended Citation
GB/T 7714
Vahid NOURANI,Gholamreza ANDALIB. Daily and Monthly Suspended Sediment Load Predictions Using Wavelet Based Artificial Intelligence Approaches[J]. Journal of Mountain Science,2015,12(1):85-100.
APA Vahid NOURANI,&Gholamreza ANDALIB.(2015).Daily and Monthly Suspended Sediment Load Predictions Using Wavelet Based Artificial Intelligence Approaches.Journal of Mountain Science,12(1),85-100.
MLA Vahid NOURANI,et al."Daily and Monthly Suspended Sediment Load Predictions Using Wavelet Based Artificial Intelligence Approaches".Journal of Mountain Science 12.1(2015):85-100.
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