User: Guest  Login
Document type:
Zeitschriftenaufsatz 
Author(s):
Bui, Van Hieu; Bui, Minh Duc; Rutschmann, Peter: 
Title:
Correction: Combination of Discrete Element Method and Artificial Neural Network for Predicting Porosity of Gravel-Bed River. Water, Vol. 11, 2019, Article No. 1461]. 
Abstract:
In gravel-bed rivers, monitoring porosity is vital for fluvial geomorphology assessment as well as in river ecosystem management. Conventional porosity prediction methods are restricting in terms of the number of considered factors and are also time-consuming. We present a framework, the combination of the Discrete Element Method (DEM) and Artificial Neural Network (ANN), to study the relationship between porosity and the grain size distribution. DEM was applied to simulate the 3D structure...    »
 
Keywords:
mathematical modelling; DEM; ANN; bed porosity; grain sorting; gravel-bed river 
Dewey Decimal Classification:
620 Ingenieurwissenschaften 
Journal title:
Water 
Year:
2020 
Journal volume:
12 
Journal issue:
Pages contribution:
Article No. 408, 1 page 
Covered by:
Scopus; Web of Science 
Reviewed:
ja 
Language:
en 
Fulltext / DOI:
Publisher:
Molecular Diversity Preservation International (MDPI) 
Publisher address:
Basel, Switzerland 
E-ISSN:
2073-4441 
Impact Factor:
2.544 (2019) 
Format:
Text 
CC license:
by, http://creativecommons.org/licenses/by/4.0