scholarly journals The Use of a Microscale Physical Model to Simulate Bankfull Discharge in the Lower Reaches of the Yellow River

Water ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 13
Author(s):  
Xue Zhang ◽  
Minghong Chen ◽  
Pengxiang Wu ◽  
Fengmao Xin
Keyword(s):  
Physical Model ◽  
Yellow River ◽  
Regression Line ◽  
Physical Models ◽  
The Lower Yellow River ◽  
Bankfull Discharge ◽  
Small Distortion ◽  
Flood Planning ◽  
Model Similarity ◽  
The Relationship

Microscale physical models (MSPMs) were once widely used in flood planning in large basins. They fell out of favor but are now being used again. This paper explores the benefits of using such a model for understanding a flood problem on the Lower Yellow River (LYR). We constructed an indoor MSPM of a nearly 800-km reach of the LYR. The model had different scales in the longitudinal, transverse, and vertical directions, and we adjusted the slope of the model. Meanwhile, a real-time water level monitoring system and an automatic flow control system were built on the MSPM to automatically control hydrodynamic testing. Through several discharge experiments, bankfull discharge for multiple MSPM sections was obtained and compared with measured data from the corresponding hydrological section of the prototype during the early flood season of 2016. The comparison demonstrated good linear correlation. The analysis of model similarity showed that although there was some deviation in gravity similarity between the MSPM and the prototype, the model discharge scale derived from resistance similarity adequately described the relationship between the model and the prototype bankfull discharge. Further analysis of the relationship between the model and the prototype bankfull discharge revealed that a split-line line may be better than a single regression line. A MSPM could reproduce the bankfull discharge of the LYR with the nearly 800-km reach in the laboratory which is impossible for a small distortion rate physical model, and obtain a result close to that of the assimilated numerical model.

Response of bankfull discharge to discharge and sediment load in the Lower Yellow River

Geomorphology ◽  
2008 ◽  
Vol 100 (3-4) ◽  
pp. 366-376 ◽  
Author(s):  
Baosheng Wu ◽  
Guangqian Wang ◽  
Junqiang Xia ◽  
Xudong Fu ◽  
Yuanfeng Zhang
Keyword(s):  
Sediment Load ◽  
Yellow River ◽  
Lower Yellow River ◽  
The Lower Yellow River ◽  
Bankfull Discharge

Estimation of bankfull discharge in the Lower Yellow River using different approaches

Geomorphology ◽  
2010 ◽  
Vol 117 (1-2) ◽  
pp. 66-77 ◽  
Author(s):  
Junqiang Xia ◽  
Baosheng Wu ◽  
Guangqian Wang ◽  
Yanping Wang
Keyword(s):  
Yellow River ◽  
Lower Yellow River ◽  
The Lower Yellow River ◽  
Bankfull Discharge

Recent variation in reach-scale bankfull discharge in the Lower Yellow River

2013 ◽  
Vol 39 (6) ◽  
pp. 723-734 ◽  
Author(s):  
Junqiang Xia ◽  
Xiaojuan Li ◽  
Xiaolei Zhang ◽  
Tao Li
Keyword(s):  
Yellow River ◽  
Lower Yellow River ◽  
The Lower Yellow River ◽  
Bankfull Discharge ◽  
Recent Variation

scholarly journals Conceptual Model for Simulating the Adjustments of Bankfull Characteristics in the Lower Yellow River, China

2014 ◽  
Vol 2014 ◽  
pp. 1-12
Author(s):  
Yuanjian Wang ◽  
Xudong Fu ◽  
Guangqian Wang
Keyword(s):  
Conceptual Model ◽  
Yellow River ◽  
Lower Yellow River ◽  
The Lower Yellow River ◽  
Multiple Thread ◽  
Proposed Model ◽  
Potential Applicability ◽  
Bankfull Width ◽  
The Relationship

We present a conceptual model for simulating the temporal adjustments in the banks of the Lower Yellow River (LYR). Basic conservation equations for mass, friction, and sediment transport capacity and the Exner equation were adopted to simulate the hydrodynamics underlying fluvial processes. The relationship between changing rates in bankfull width and depth, derived from quasiuniversal hydraulic geometries, was used as a closure for the hydrodynamic equations. On inputting the daily flow discharge and sediment load, the conceptual model successfully simulated the 30-year adjustments in the bankfull geometries of typical reaches of the LYR. The square of the correlating coefficient reached 0.74 for Huayuankou Station in the multiple-thread reach and exceeded 0.90 for Lijin Station in the meandering reach. This proposed model allows multiple dependent variables and the input of daily hydrological data for long-term simulations. This links the hydrodynamic and geomorphic processes in a fluvial river and has potential applicability to fluvial rivers undergoing significant adjustments.

Identifying Physico-Chemical Laws from the Robotically Collected Data

2019 ◽  
Author(s):  
Liwei Cao ◽  
Danilo Russo ◽  
Vassilios S. Vassiliadis ◽  
Alexei Lapkin
Keyword(s):  
Experimental Data ◽  
Numerical Models ◽  
Predictor Variable ◽  
Physical Models ◽  
Training Data ◽  
Mixed Integer ◽  
Physico Chemical ◽  
Data Points ◽  
Future Work ◽  
The Relationship

<p>A mixed-integer nonlinear programming (MINLP) formulation for symbolic regression was proposed to identify physical models from noisy experimental data. The formulation was tested using numerical models and was found to be more efficient than the previous literature example with respect to the number of predictor variables and training data points. The globally optimal search was extended to identify physical models and to cope with noise in the experimental data predictor variable. The methodology was coupled with the collection of experimental data in an automated fashion, and was proven to be successful in identifying the correct physical models describing the relationship between the shear stress and shear rate for both Newtonian and non-Newtonian fluids, and simple kinetic laws of reactions. Future work will focus on addressing the limitations of the formulation presented in this work, by extending it to be able to address larger complex physical models.</p><p><br></p>

MODEL FOR LOSS ASSESSMENT DUE TO FLOOD IN THE LOWER YELLOW RIVER

2015 ◽  
Vol 14 (8) ◽  
pp. 1933-1939
Author(s):  
Xianqi Zhang ◽  
Weiwei Han ◽  
Xiaofei Peng ◽  
Cundong Xu
Keyword(s):  
Yellow River ◽  
Loss Assessment ◽  
Lower Yellow River ◽  
The Lower Yellow River

scholarly journals Two-Dimensional Numerical Modeling of Flow in Physical Models of Rock Vane and Bendway Weir Configurations

Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 458
Author(s):  
Drew C. Baird ◽  
Benjamin Abban ◽  
S. Michael Scurlock ◽  
Steven B. Abt ◽  
Christopher I. Thornton
Keyword(s):  
Numerical Modeling ◽  
Physical Model ◽  
Numerical Models ◽  
Hydraulic Performance ◽  
Physical Models ◽  
Protection Measures ◽  
Design Engineers ◽  
Model Study ◽  
Study Results ◽  
Wide Range

While there are a wide range of design recommendations for using rock vanes and bendway weirs as streambank protection measures, no comprehensive, standard approach is currently available for design engineers to evaluate their hydraulic performance before construction. This study investigates using 2D numerical modeling as an option for predicting the hydraulic performance of rock vane and bendway weir structure designs for streambank protection. We used the Sedimentation and River Hydraulics (SRH)-2D depth-averaged numerical model to simulate flows around rock vane and bendway weir installations that were previously examined as part of a physical model study and that had water surface elevation and velocity observations. Overall, SRH-2D predicted the same general flow patterns as the physical model, but over- and underpredicted the flow velocity in some areas. These over- and underpredictions could be primarily attributed to the assumption of negligible vertical velocities. Nonetheless, the point differences between the predicted and observed velocities generally ranged from 15 to 25%, with some exceptions. The results showed that 2D numerical models could provide adequate insight into the hydraulic performance of rock vanes and bendway weirs. Accordingly, design guidance and implications of the study results are presented for design engineers.

scholarly journals High-Arsenic Groundwater in Paleochannels of the Lower Yellow River, China: Distribution and Genesis Mechanisms

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 338
Author(s):  
Chuanshun Zhi ◽  
Wengeng Cao ◽  
Zhen Wang ◽  
Zeyan Li
Keyword(s):  
Yellow River ◽  
The Yellow River ◽  
Rock Interaction ◽  
Lower Yellow River ◽  
The Lower Yellow River ◽  
Groundwater Samples ◽  
Groundwater Systems ◽  
Different Sources ◽  
High Arsenic ◽  
High Arsenic Groundwater

High–arsenic (As) groundwater poses a serious threat to human health. The upper and middle reaches of the Yellow River are well–known areas for the enrichment of high–arsenic groundwater. However, little is known about the distribution characteristics and formation mechanism of high-As groundwater in the lower reach of the Yellow River. There were 203 groundwater samples collected in different groundwater systems of the lower Yellow River for the exploration of its hydrogeochemical characteristics. Results showed that more than 20% of the samples have arsenic concentrations exceeding 10 μg/L. The high-As groundwater was mainly distributed in Late Pleistocene–Holocene aquifers, and the As concentrations in the paleochannels systems (C2 and C4) were significantly higher than that of the paleointerfluve system (C3) and modern Yellow River affected system (C5). The high-As groundwater is characterized by high Fe2+ and NH4+ and low Eh and NO3−, indicating that reductive dissolution of the As–bearing iron oxides is probably the main cause of As release. The arsenic concentrations strikingly showed an increasing tendency as the HCO3− proportion increases, suggesting that HCO3− competitive adsorption may facilitate As mobilization, too. In addition, a Gibbs diagram showed that the evaporation of groundwater could be another significant hydrogeochemical processes, except for the water–rock interaction in the study area. Different sources of aquifer medium and sedimentary structure may be the main reasons for the significant zonation of the As spatial distribution in the lower Yellow River.

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