干旱区生态环境知识资源中心(Arid): Sediment assessment for a watershed in arid region via neural networks

Arid

DOI	10.1007/s12046-019-1199-5
	Sediment assessment for a watershed in arid region via neural networks
	Samantaray, Sandeep; Ghose, Dillip K.
通讯作者	Samantaray, Sandeep
来源期刊	SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
ISSN	0256-2499
EISSN	0973-7677
出版年	2019
卷号	44 期号:10
英文摘要	In the present study, the estimation of suspended sediment load is computed by four Artificial Neural Networks (ANNs) algorithms, Cascade Forward Back Propagation (CFBP), Feed Forward Back Propagation (FFBP), Radial Basis Function (RBF), and Recurrent Neural Network (RNN). Five cases of model input are calibrated to establish the relationship among precipitation, discharge and suspended sediment load. While discharge and rainfall up to four previous days as employed for input, model gives pre-eminent performance. Sensitivity of all models is appraised concerning Nash-Sutcliffe coefficient (E-NS) and coefficient of determination (R-2) for predicting sediment load. Among all ANNs, MMF (Morgan-Morgan-Finney) model when trained with stream flow as the input in RNN, gives best result with coefficient of determination, R-2 as 0.9474, while the values for FFBP, CFBP and RBF are 0.9115, 0.8766 and 0.8511, respectively. Performance of all results show that an MMF model is superior to conventional SRC (Sediment Rating Curve) and MLR (Multiple Linear Regression) models in determining the complex relationship between discharge and suspended sediment load.
英文关键词	MMF MLR neural network precipitation SRC suspended sediment regression
类型	Article
语种	英语
国家	India
开放获取类型	Bronze
收录类别	SCI-E
WOS记录号	WOS:000489016300001
WOS关键词	MODELS
WOS类目	Engineering, Multidisciplinary
WOS研究方向	Engineering
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218539
作者单位	Natl Inst Technol NIT Silchar, Dept Civil Engn, Silchar, India
推荐引用方式 GB/T 7714	Samantaray, Sandeep,Ghose, Dillip K.. Sediment assessment for a watershed in arid region via neural networks[J],2019,44(10).
APA	Samantaray, Sandeep,&Ghose, Dillip K..(2019).Sediment assessment for a watershed in arid region via neural networks.SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES,44(10).
MLA	Samantaray, Sandeep,et al."Sediment assessment for a watershed in arid region via neural networks".SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES 44.10(2019).