کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4430112 | 1619847 | 2011 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Wavelet and ANN combination model for prediction of daily suspended sediment load in rivers
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم محیط زیست
شیمی زیست محیطی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Wavelet and ANN combination model for prediction of daily suspended sediment load in rivers Wavelet and ANN combination model for prediction of daily suspended sediment load in rivers](/preview/png/4430112.png)
چکیده انگلیسی
⺠A new wavelet artificial neural network (WANN) model was proposed for daily suspended sediment load (SSL) prediction. ⺠Daily observed time series of river discharge and SSL in Yadkin River in the USA were decomposed to some sub-time series at different levels by wavelet analysis. ⺠Then, these sub-time series were imposed to the artificial neural network (ANN). ⺠The proposed model was compared with ANN and conventional models. ⺠The WANN model could satisfactorily simulate hysteresis phenomenon and reasonably predict high SSL values.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Science of The Total Environment - Volume 409, Issue 15, 1 July 2011, Pages 2917-2928
Journal: Science of The Total Environment - Volume 409, Issue 15, 1 July 2011, Pages 2917-2928
نویسندگان
Taher Rajaee,