Title : ( Applying the C-Factor of the RUSLE Model to Improve the Prediction of Suspended Sediment Concentration Using Smart Data-Driven Models )
Authors: Haniyeh asadi , Mohammad Taghi Dastorani , Khabat Khosravi , Roy C. Sidle ,
Full TextAbstract
Applying the C-Factor of the RUSLE Model to Improve prediction of Suspended Sediment Concentration Using Smart Data-Driven Models is the Subject of this Paper
Keywords
, Suspended sediment, Intelligent algorithm, Revised universal soil loss equation, artificial neural network, Support vector machine
@article{paperid:1091575,
author = {هانیه اسدی and Dastorani, Mohammad Taghi and Khabat Khosravi and Roy C. Sidle},
title = {Applying the C-Factor of the RUSLE Model to Improve the Prediction of Suspended Sediment Concentration Using Smart Data-Driven Models},
journal = {Water},
year = {2022},
volume = {14},
number = {19},
month = {September},
issn = {2073-4441},
pages = {3011--3029},
numpages = {18},
keywords = {Suspended sediment; Intelligent algorithm; Revised universal soil loss equation; artificial neural network; Support vector machine},
}
%0 Journal Article
%T Applying the C-Factor of the RUSLE Model to Improve the Prediction of Suspended Sediment Concentration Using Smart Data-Driven Models
%A هانیه اسدی
%A Dastorani, Mohammad Taghi
%A Khabat Khosravi
%A Roy C. Sidle
%J Water
%@ 2073-4441
%D 2022
