An open channel with an emergent vegetation patch: Predicting the longitudinal profiles of velocities based on exponential decay

Shan, Yuqi; Sun, Wen‐Yih; Yan, Chunhao; Yang, Kejun

doi:10.1016/j.jhydrol.2019.124429

Cited by 43 publications

(25 citation statements)

References 46 publications

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“…Truong & Uijttewaal, 2018; White & Nepf, 2008), velocity prediction models (e.g. Liu & Shan, 2019; Liu et al., 2020; Yan et al., 2020) and numerical simulations (e.g. Xiao et al., 2020; Xiaohui & Li, 2002; Xu et al., 2019) have been conceptualized, designed, calibrated and tested with reference to cylinders or rod‐like rigid vegetation.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Flexible and Rigid Vegetation Induced Shear Layers in Partly Vegetated Channels

Caroppi

Västilä

Gualtieri

et al. 2021

Water Resources Research

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In a variety of environmental settings, including vegetated channel banks and rivers, and their associated floodplains and riparian areas, vegetation occurs along river margins, partially obstructing the cross-section. In these systems, referred to as partly vegetated channels, the long regions of finite width of emergent vegetation laterally interact with the flow, deeply altering the mean and turbulent flow structure with implications on the conveyance capacity of the channel, the water levels, and the mass and momentum exchange processes (

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Section: Introductionmentioning

confidence: 99%

Comparison of Flexible and Rigid Vegetation Induced Shear Layers in Partly Vegetated Channels

Caroppi

Västilä

Gualtieri

et al. 2021

Water Resources Research

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“…To solve river erosion, the authors have conducted many field investigations and found that the sediment protected by hard man-made concrete structure sometimes performs worse than sediment protected by water weeds growing in the river. The effect of vegetation on the change of flow features, i.e., flow velocity, flow turbulence, wave dissipation, and drag force, has been studied widely [34][35][36][37][38][39]. Due to the effect of vegetation, the flowinduced bed shear stress can be reduced so that the capacity of sediment motion can be weakened [35][36][37][38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

“…The effect of vegetation on the change of flow features, i.e., flow velocity, flow turbulence, wave dissipation, and drag force, has been studied widely [34][35][36][37][38][39]. Due to the effect of vegetation, the flowinduced bed shear stress can be reduced so that the capacity of sediment motion can be weakened [35][36][37][38][39][40][41]. Therefore, the authors introduced a new way to control sediment and erosion in a river.…”

Section: Introductionmentioning

confidence: 99%

Near-Nature Ecological Technique for Pier Scour Countermeasure in a Submerged Overfall

Lee

Huang

2022

Applied Sciences

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This paper proposes a near-nature ecological technique, which can consist of a wide range of materials, to protect against pier scouring. The proposed technique can involve the use of many long strips that behave like water weeds. This paper studied a protection method against pier scour by using long strips in a submerged overfall, particularly for a pier located at the maximum depth area of overfall scour. The length and size of the strips were chosen as factors to study their protective effect. Our results showed that this approach slowed the flow velocity between the installed strips and bed. The sediment in flow might accordingly move slowly or even settle down. Thus, the pier could be kept stable and safe by the installation of those strips. Experimental results show that the protective effect is more efficient when the strip length is closer to the pier and has a small diameter. Moreover, the maximum protective effect reached 45.5% scour reduction. Varied lengths provided different protective effects against overfall scour. These findings show that this near-nature ecological technique could be a good and economical solution for pier protection in submerged overfalls.

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“…The hydrological model is an excellent instrument for runoff simulation, analysis, and calculation, and it is a crucial way to explore and understand the water cycle and hydrological processes. The hydrological model also simulates the main characteristics of the rainfall-runoff process by generalizing the complex water cycle process, which is important for water resources development and utilization, flood prevention and mitigation, urban planning, vegetation impacts and watershed response to human activities, and many other aspects [4][5][6][7]. With the wide application of hydrological models, the issue of how to improve the accuracy of rainfall-runoff simulations has attracted more and more attention from scholars and has increasingly become one of the critical topics in hydrology research [4].…”

Section: Introductionmentioning

confidence: 99%

Integration of Hydrological Model and Time Series Model for Improving the Runoff Simulation: A Case Study on BTOP Model in Zhou River Basin, China

et al. 2022

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Improving the accuracy of runoff simulations is a significant focus of hydrological science for multiple purposes such as water resources management, flood and drought prediction, and water environment protection. However, the simulated runoff has limitations that cannot be eliminated. This paper proposes a method that integrates the hydrological and time series models to improve the reliability and accuracy of simulated runoffs. Specifically, the block-wise use of TOPMODEL (BTOP) is integrated with three time series models to improve the simulated runoff from a hydrological model of the Zhou River Basin, China. Unlike most previous research that has not addressed the influence of runoff patterns while correcting the runoff, this study manually adds the hydrologic cycle to the machine learning-based time series model. This also incorporates scenario-specific knowledge from the researcher’s area of expertise into the prediction model. The results show that the improved Prophet model proposed in this study, that is, by adjusting its holiday function to a flow function, significantly improved the Nash–Sutcliffe efficiency (NSE) of the simulated runoff by 53.47% (highest) and 23.93% (average). The autoregressive integrated moving average (ARIMA) model and long short-term memory (LSTM) improved the runoff but performed less well than the improved Prophet model. This paper presents an effective method to improve the runoff simulation by integrating the hydrological and time series models.

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An open channel with an emergent vegetation patch: Predicting the longitudinal profiles of velocities based on exponential decay

Cited by 43 publications

References 46 publications

Comparison of Flexible and Rigid Vegetation Induced Shear Layers in Partly Vegetated Channels

Comparison of Flexible and Rigid Vegetation Induced Shear Layers in Partly Vegetated Channels

Near-Nature Ecological Technique for Pier Scour Countermeasure in a Submerged Overfall

Integration of Hydrological Model and Time Series Model for Improving the Runoff Simulation: A Case Study on BTOP Model in Zhou River Basin, China

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