Experimental study on the mitigation effects of deflection walls on debris flow hazards at the confluence of tributary and main river

Wang, Jiamei; Hassan, Marwan A.; Saletti, Matteo; Yang, Xianrui; Zhou, Hongwei; Zhou, Jia‐wen

doi:10.1007/s10064-022-02850-5

Cited by 7 publications

(4 citation statements)

References 68 publications

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“…Ref. [22] conducted experimental research on the use of flow-blocking walls at the confluence of tributaries and main rivers to mitigate debris flow disasters. Ref.…”

Section: Introductionmentioning

confidence: 99%

“…From the above, it can be seen that the risk assessment of debris flow blockage disasters mainly includes a critical index/condition method, a numerical back-calculation method, a numerical simulation method, a quantitative assessment method, etc. There are many factors that affect river blockages caused by debris flows, including the confluence angle of the debris flow, the discharge of the main river and the debris flow, the total volume of debris flow, the width of the main river, the gradient of the main river, and the yield stress of the debris flow [7,[20][21][22], among which the confluence angle is considered an important factor [16,21,23].…”

Section: Introductionmentioning

confidence: 99%

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Early Identification of River Blockage Disasters Caused by Debris Flows in the Bailong River Basin, China

Zeng,

Zhao,

Zheng

et al. 2024

Remote Sensing

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The Bailong River Basin is one of the most developed regions for debris flow disasters worldwide, often causing severe secondary disasters by blocking rivers. Therefore, the early identification of potential debris flow disasters that may block the river in this region is of great significance for disaster risk prevention and reduction. However, it is quite challenging to identify potential debris flow disasters that may block rivers at a regional scale, as conducting numerical simulations for each debris flow catchment would require significant time and financial resources. The purpose of this article is to use public resource data and machine learning methods to establish a relationship model between debris flow-induced river blockage and key influencing factors, thereby economically predicting potential areas at risk for debris flow-induced river blockage disasters. Based on the field investigation, data collection, and remote sensing interpretation, this study selected 12 parameters, including the basin area, basin height difference, relief ratio, circularity ratio, landslide density, fault density, lithology index, annual average frequency of daily rainfall exceeding 40 mm, river width, river discharge, river gradient, and confluence angle, as critical factors to determine whether debris flows will cause river blockages. A relationship model between debris flow-induced river blockage and influencing factors was constructed based on machine learning algorithms. Several machine learning algorithms were compared, and the XGB model performed the best, with a prediction accuracy of 0.881 and an area under the ROC curve of 0.926. This study found that the river width is the determining factor for debris flow blocking rivers, followed by the annual average frequency of daily rainfall exceeding 40 mm, basin height difference, circularity ratio, basin area, and river discharge. The early identification method proposed in this study for river blockage disasters caused by debris flows can provide a reference for the quantitative assessment and pre-disaster prevention of debris flow-induced river blockage chain risks in similar high-mountain gorge areas.

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“…Ref. [22] conducted experimental research on the use of flow-blocking walls at the confluence of tributaries and main rivers to mitigate debris flow disasters. Ref.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Early Identification of River Blockage Disasters Caused by Debris Flows in the Bailong River Basin, China

Zeng,

Zhao,

Zheng

et al. 2024

Remote Sensing

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“…With the advancement of measuring devices and computer technology, it is now possible to capture precisely and describe the three-dimensional flow structure, material movement, bed evolution, and biological and environmental implications at river confluences. Consequently, recent years have seen an increase in the number of studies on river confluences and a diversification of study approaches, including laboratory experiments [7][8][9], field experiments [10][11][12], and numerical simulation [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…recent years have seen an increase in the number of studies on river confluences and a diversification of study approaches, including laboratory experiments [7][8][9], field experiments [10][11][12], and numerical simulation [13][14][15]. However, due to the limitations of physical models (associated with scale effects) and field studies (labor-and time-consuming), as well as their dependency on the accuracy of measuring techniques, it is desirable to develop numerical simulation techniques to reduce the costs.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Confluence Flow in a Degraded Bed

Behzad,

Mohammadian,

Rennie

et al. 2023

Water

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The fluid dynamics of channel confluences are highly complex due to flow separation and secondary currents. Although numerous studies in the past few decades have focused on the numerical simulation of confluence flow, deformed beds were rarely used. This study attempts to address this issue through numerical simulation of the flow behavior in an open-channel confluence flume with an equilibrium degraded bed in OpenFOAM (version 6.0) to compare the results with a flatbed. In the present study, different turbulence models, including Reynolds-Averaged Navier–Stokes (RANS), large-eddy simulation (LES), and detached eddy simulation (DES) models were performed using rigid-lid and volume-of-fluid (VoF) methods. The accuracy of the models was statistically analyzed by comparing them with observation data. The results demonstrated that the LES model had the best performance, with a minimum average normalized root-mean-square error (NRMSE) of 3% under the VoF assumption. The investigation also further illuminated the intricate interplay of vortical structures within the confluence zone. Notably, the number and behavior of vortices were found to be influenced by channel geometry and size, as well as interactions between separated shear layers. Circulation within the separation zone near the inner bank differed in rotation between the degraded and flatbed cases.

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Effect of channel confluence on the dynamics of debris flow in the Niutang Gully

Wang,

Zhang,

et al. 2024

Nat Hazards

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Experimental study on the mitigation effects of deflection walls on debris flow hazards at the confluence of tributary and main river

Cited by 7 publications

References 68 publications

Early Identification of River Blockage Disasters Caused by Debris Flows in the Bailong River Basin, China

Early Identification of River Blockage Disasters Caused by Debris Flows in the Bailong River Basin, China

Numerical Simulation of Confluence Flow in a Degraded Bed

Effect of channel confluence on the dynamics of debris flow in the Niutang Gully

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