2017
DOI: 10.4491/ksee.2017.39.5.229
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A Study on Prediction of Sedimentation Efficiency for Sedimentation Basin using Lagrangian Method

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“…Some researchers have conducted empirical analyses by establishing functional relationships based on measured data (Feng et al, 2005;Shen et al, 2013). Others have used various rates to simulate the riverbed adjustment process based on observations (Hooke, 1995;Simon and Thorne, 1996;Kasai et al, 2004;Simon and Rinaldi, 2006;Choi et al, 2017) or applied artificial neural networks and mathematical models to perform relevant research (Li et al, 2010). Alluvial rivers are characterized by complex water-sediment variation processes and variable influencing factors, and the above methods can be used to study and understand the delayed response process; however, there are still difficulties in quantitatively describing the influence of previous water-sediment conditions and the corresponding delayed response behaviour.…”
Section: Introductionmentioning
confidence: 99%
“…Some researchers have conducted empirical analyses by establishing functional relationships based on measured data (Feng et al, 2005;Shen et al, 2013). Others have used various rates to simulate the riverbed adjustment process based on observations (Hooke, 1995;Simon and Thorne, 1996;Kasai et al, 2004;Simon and Rinaldi, 2006;Choi et al, 2017) or applied artificial neural networks and mathematical models to perform relevant research (Li et al, 2010). Alluvial rivers are characterized by complex water-sediment variation processes and variable influencing factors, and the above methods can be used to study and understand the delayed response process; however, there are still difficulties in quantitatively describing the influence of previous water-sediment conditions and the corresponding delayed response behaviour.…”
Section: Introductionmentioning
confidence: 99%