2015
DOI: 10.3808/jei.201500291
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Modelling Sediment Trapping by Non-Submerged Grass Buffer Strips Using Nonparametric Supervised Learning Technique

Abstract: ABSTRACT. Grass strips are known as one of the most effective management practices in controlling sediment loss to rivers and other surface water bodies. Some physically-based models have been previously developed to predict the amount of sediment retention in grass strips. Although physically-based models can explain the effects and interactions of various factors, they tend to be sophisticated as they require a large amount of input data. A nonparametric supervised learning statistical model was developed to… Show more

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Cited by 4 publications
(4 citation statements)
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References 47 publications
(96 reference statements)
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“…Previous studies built models related to efficiency of buffer strips (e.g., Akram, Yu, Ghadiri, & Rose, ; De Baets et al, ; Siepel, Steenhuis, Rose, Parlange, & McIsaac, ; Zhao et al, ), whereas the runoff and erosion/deposition processes in buffer strips could be different due to different flow patterns and vegetation settings, leading to variation of buffer strip effects, influencing factors and their relationships.…”
Section: Discussionmentioning
confidence: 99%
“…Previous studies built models related to efficiency of buffer strips (e.g., Akram, Yu, Ghadiri, & Rose, ; De Baets et al, ; Siepel, Steenhuis, Rose, Parlange, & McIsaac, ; Zhao et al, ), whereas the runoff and erosion/deposition processes in buffer strips could be different due to different flow patterns and vegetation settings, leading to variation of buffer strip effects, influencing factors and their relationships.…”
Section: Discussionmentioning
confidence: 99%
“…Machine-learning algorithms have also been used to predict the efficiency of grass buffer strips in reducing sediment delivery in several models (Andriyas et al, 2003;Akram et al, 2016). Although statistical models can be useful mostly as decision support tools, they do not simulate the processes involved in the hydrological events.…”
Section: Introductionmentioning
confidence: 99%
“…where SC(t) and Q(t) are the sediment concentration (g L −1 ) and flow rate (L min −1 ), respectively, at time t (min). The ISTE of a grass strip Ie(t) is usually used to indicate the real-time sediment-trapping performance of the grass strip over time [10,11].…”
Section: Measurement and Data Analysis 221 Sediment Process Calculationsmentioning
confidence: 99%
“…The sediment-trapping effect of a grass strip is often simply described using an overall sediment-trapping efficiency for a certain period [8], but this does not indicate temporal variations in sediment trapping by the grass strip [9]. The instantaneous sediment-trapping efficiency (ISTE) of a grass strip is usually used to indicate the real-time sediment-trapping performance of a grass strip [10,11]. The ISTE will change mainly because deposited sediment will affect the roughness of the grassland and the resistance of the grassland to overland flow [7,12].…”
Section: Introductionmentioning
confidence: 99%