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Article

Lateral Migration in a Wandering Reach of the Middle Yellow River in Response to Different Boundary Conditions

1
College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, China
2
Jiangsu Surveying and Design Institute of Water Resources Co., Ltd., Yangzhou 225009, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(15), 5229; https://doi.org/10.3390/app10155229
Submission received: 29 June 2020 / Revised: 22 July 2020 / Accepted: 27 July 2020 / Published: 29 July 2020
(This article belongs to the Section Earth Sciences)

Abstract

:
The Xiaobeiganliu reach is a typical wandering reach of the Middle Yellow River that has rapid and significant channel lateral migration, which may threaten the safety of riparian land and flood control structures. To investigate the characteristics and mechanism of lateral migration in the Xiaobeiganliu reach, the temporal and spatial variations in bankfull width and thalweg migration distance were identified during the continuous deposition period, quantitatively analyzing the effect of different boundary conditions on the lateral migration index. The reach-scale bankfull width decreased by 32% from 1986 to 2001 because hyperconcentrated floods often occurred in this reach. The thalweg migration distance varied dramatically at cross-sections, with the maximum annual thalweg migration distance reaching 4290 m. The lateral migration index of the Xiaobeiganliu reach responded well to the upstream and downstream boundary conditions. The previous 3-year average water discharge and 4-year average sediment concentration at the upstream station were two key fluvial factors influencing lateral migration, with the relation being established between the lateral migration index and the two parameters. The Tongguan (TG) elevation was the key downstream boundary condition affecting thalweg migration, and a power function was proposed between the lateral migration index and the variations in annual TG elevation.

1. Introduction

Channel lateral migration is a morphodynamic adjustment that has been extensively documented in various rivers worldwide [1,2,3,4,5]. Lateral migration plays a crucial role in the functioning of aquatic and riverine ecosystems, and reduced lateral migration usually leads to a decrease in habitat quality [6,7,8]. Therefore, the restoration and preservation of river environments usually require a mobile channel [9,10]. On the other hand, severe channel lateral migration may threaten the safety of flood control structures and human property, a topic that has attracted great attention from scientists in the context of river engineering and fluvial management [11,12,13,14].
Lateral migration in alluvial rivers generally covers channel width adjustments, thalweg migration, shifting of the main channel, and meander migration. The thalweg is the line of lowest bed elevation within the watercourse [2]. Large-scale shifting of the main channel can lead to severe thalweg migration, and thalweg migration rates usually exceed the magnitude of the main channel shifting [15]. Various methods have been used to determine the magnitude of channel lateral migration in recent years, including analysis of measured cross-sectional profiles, remote sensing techniques, and mathematical models [4,16,17,18,19]. For example, Xia et al. [16] investigated the changes in bankfull width in a braided reach after the operation of a large reservoir based on annual measured cross-sectional profiles, which indicated that bankfull width increased greatly owing to severe bank erosion. Debnath et al. [4] analyzed the characteristics of channel width, radius of curvature, and sinuosity index using Remote Sense (RS) and Geographic Information System (GIS) in the Khowai River, with the relationship between channel migration and land use being discovered. Sun et al. [19] developed a morphological mathematical model to simulate the processes of bank failure and bed deformation, and the results showed that the effect of secondary flow played an important part in channel migration. Analysis of measured cross-sectional profiles can accurately show the variations in channel migration, which is a common method to investigate fluvial processes of alluvial rivers. Remote sensing techniques can acquire a wide range of data, but the precision is often affected by weather, such as clouds and snow. Mathematical models can simulate the processes of channel width changes and thalweg migration, but it usually needs detailed information including bed material composition and bank soil properties.
Fluvial processes in alluvial rivers are generally influenced by various boundary conditions, including upstream boundary conditions, downstream boundary conditions, and other boundary conditions [20,21]. The upstream boundary conditions usually refer to the incoming flow and sediment regime, which are considered to be the main factors influencing channel evolution. Some studies have been conducted to investigate the effect of upstream boundary conditions on channel lateral migration [5,9,11,22,23]. For example, Richard et al. [11] investigated the lateral movement of the Rio Grande in New Mexico and found that channel migration rates primarily increased with an increase in flow energy based on statistical analysis. Li et al. [5] investigated the variation in thalweg migration intensity in a braided reach of the Lower Yellow River in 1986–2015 and established a relation between thalweg migration intensity and the previous 4-year average fluvial erosion intensity. Wang et al. [23] determined the migration rates of the main channel in a wandering reach and found that fluvial factors were the key factors influencing the migration rates. The downstream boundary conditions generally refer to changes in the local base level, which is regarded as an imaginary horizontal level or surface where channel erosion proceeds [20]. Several studies have shown that base level changes can significantly influence channel adjustments in alluvial rivers [24,25,26,27,28]. Edwards et al. [25] found that the mean bankfull width in the lower White River increased by 21% following base-level lowering from 1930 to 2010. Vachtman and Laronne [26] suggested that a base level drop initially led to channel incision followed by channel widening in cohesive channels. Lin et al. [27] calculated channel bankfull dimensions in the Jinjiang reach of the Middle Yangtze River and developed empirical relations between bankfull dimensions and downstream controls. In addition, other boundary conditions, such as bed and bank materials and riparian vegetation, can affect channel lateral migration [16,29,30]. The channel planform geometry, including width, radius of curvature and sinuosity, was also associated with the magnitude of channel migration [13,31].
The Xiaobeiganliu reach is a typical wandering reach in the Middle Yellow River, and it has a very wide and shallow channel. This reach is very famous for channel lateral migration, and it is reported that the maximum magnitude of lateral migration can reach up to 14.8 km in one year [32]. Previous studies paid little attention to the characteristics of channel migration in this wandering reach, and the effect of incoming flow and sediment regime, base level changes, and other factors on thalweg migration were poorly understood. The main purposes of this paper are (i) to investigate the temporal and spatial variations in bankfull width and thalweg migration distance in the Xiaobeiganliu reach of the Middle Yellow River during the period from 1986 to 2001; (ii) to quantitatively determine the effects of different boundary conditions on channel lateral migration in the Xiaobenganliu reach and find the dominant factor influencing the lateral migration index. The results of the current study can facilitate a better understanding of the characteristics and mechanism of channel migration in wandering rivers. The relationships between lateral migration index and influencing factors can be established to predict channel migration processes in the Xiaobeiganliu reach, which is helpful for flood control and river channel management.

2. Study Area and Data Collection

2.1. Study Area

The Xiaobeiganliu reach spans from Longmen (LM) to Tongguan (TG) in the Middle Yellow River, which is located between 110°15′–110°38′ E longitude and 34°35′–35°49′ N latitude (Figure 1a). The main stream in this reach is scattered and changeable, with rapid and frequent channel lateral migration. Bank erosion has often occurred in this reach because the bank soil is easily eroded and there has been a lack of bank revetment works (Figure 1c). The total length of this reach is 132.5 km, with an average channel width of 8.5 km and an area of approximately 1107 km2. The sedimentation sections in this reach are successively named CS41 to CS68 from the lower to the upper reaches (Figure 1b), and the sections are surveyed twice a year to monitor the channel adjustments. The Xiaobeiganliu reach is usually divided into the upper, middle, and lower reaches. The upper reach is from LM (CS68) to Miaoqian (CS61), with a length of 42.5 km, and it is characterized by severe channel lateral migration. The composition of the bed material is relatively thick, with the median diameter of bed material (D50) generally being between 0.2 and 0.3 mm. The reach from Miaoqian (CS61) to Jiamakou (CS54) is defined as the middle reach, with a length of 30 km. It is located at the top of the tertiary red soil anticline, so the channel is relatively stable. The lower reach is from Jiamakou (CS54) to TG (CS41), with a total length of 60 km and channel bed slope of 3‰ [33].
The LM station is the main upstream hydrometric station in the Xiaobeiganliu reach, and the flow and sediment regime at this station can represent the incoming flow and sediment conditions. The TG station is the main downstream hydrometric station, and the changes in TG elevation (the corresponding water level of TG station when the discharge equals 1000 m3/s) can significantly influence the channel evolution of the Xiaobeiganliu reach. The Sanmenxia Reservoir, located approximately 113.5 km from the TG station, began operating in 1960 for flood control of the Yellow River. The Sanmenxia Reservoir has experienced several operation modes, and the TG elevation has been closely related to the continuous adjustment of the operation modes.

2.2. Data Collection

To investigate the incoming flow and sediment regime entering the Xiaobeiganliu reach, we collected hydrological data of LM station in 1960–2014 from the Yellow River Conservancy Commission of China (YRCC), and data included the daily mean discharge and sediment concentration. Figure 2 shows variations in the annual water discharge and sediment discharge at LM during hydrological years and flood seasons. From 1960 to 1973, the average annual water volume was approximately 310.8 × 108 m3/yr, with an average annual sediment amount of 10.6 × 108 tons. In 1974–1985, the average annual water volume did not change much, but the average annual sediment amount decreased to 6.5 × 108 tons due to soil and water conservation measures on the Loess Plateau. During the period from 1986 to 2002, the Longyangxia and Liujiaxia reservoirs on the upper Yellow River operated jointly. The average annual water volume entering the Xiaolangdi reach decreased to 197.2 × 108 m3/yr during this period, with the flood volume accounting for approximately 42%. The average annual sediment amount decreased to 4.7 × 108 tons, with the flood amount accounting for 81%. In 2003–2014, the average annual water volume did not change much, but the average annual sediment amount decreased dramatically to 2.1 × 108 tons because of the implementation of the water and soil conservation and the construction of various sediment trap dams in the Middle Yellow River.
According to the observed data, the channel evolution process in the Xiaobeiganliu reach could be divided into four stages (Figure 3a): rapid deposition period (1960–1973), quasi-equilibrium period (1974–1985), continuous deposition period (1986–2002), and slow scour period (2003–2015), and the process was characterized by deposition in flood seasons and scouring in non-flood seasons. From 1960 to 2015, the total cumulative channel evolution volume in the Xiaobeiganliu reach was approximately 20.2 × 108 m3, with a cumulative deposition volume of 39.6 × 108 m3 in the flood season and a cumulative scour volume of 19.4 × 108 m3 in the non-flood season. The TG elevation is the erosion datum of the Xiaobeiganliu reach, which has an important influence on the fluvial processes of this reach. The post-flood TG elevations from 1960 to 2015 were also collected from the YRCC. Figure 3b shows that the TG elevation increased rapidly after the operation of the Sanmenxia Reservoir, and the elevation increased from 323.4 m in 1960 to 326.6 m in 1973. The TG elevation increased to 327.6 m in 1979 and then decreased to 326.6 m in 1985 during the quasi-equilibrium period. During the continuous deposition period, the TG elevation continued to increase from 327.2 to 328.8 m. From 2003 to 2015, the Sanmenxia Reservoir carried out a prototype experiment, and the maximum operating water level in the non-flood season was controlled below 318 m. During this period, the TG elevation decreased slowly, reaching 327.7 m in 2015.
Channel aggradation processes shrank the main channel significantly in the Xiaobeiganliu reach, which may bring potential hazards to the safety of flood control. It is more important to investigate the morphodynamic adjustments when it underwent channel aggradation processes than other periods. Therefore, we collected post-flood cross-sectional profiles at 25 sedimentation sections in the Xiaobeiganliu reach in 1986–2001 from the YRCC to investigate channel lateral migration during the continuous deposition period.

3. Methods

3.1. Determination of Parameters for Channel Lateral Migration

Channel width adjustment was considered to be closely associated with channel lateral migration [31,34]. In this study, the parameter of bankfull width (Wi) was used to investigate the channel width adjustment in the Xiaobeiganliu reach. In general, the lip-top level of an active floodplain at a section is termed the bankfull level, and the main-channel width between the two floodplain margins on left and right banks is defined as the bankfull width [16,35]. The thalweg migration distance (Di) was used to represent the magnitude of lateral migration in the current study, which was determined to be the lateral distance between two thalweg points in the previous and current years at one section [5]. For example, Figure 4 shows the post-flood cross-sectional profiles measured in 1986 and 1987 at the section of CS61. According to the method, the bankfull widths were determined to be 1435 m in 1986 and 1664 m in 1987, and the thalweg migration distance in the two years was determined to be 163 m.
To investigate the channel lateral migration in the whole reach, a reach-averaged method proposed by Xia et al. [35] was used in the current study to calculate the reach-scale parameters. The reach-scale bankfull width and thalweg migration distance can be expressed as follows:
W ¯ = exp 1 2 L i = 1 N 1 ( ln W i + 1 + ln W i ) × Δ x
Δ D ¯ = exp 1 2 L i = 1 N 1 ( ln | Δ D i + 1 | + ln | Δ D i | ) × Δ x )
where L represents the channel length, and N represents the number of cross sections. W ¯ and Δ D ¯ represent the reach-scale bankfull width and thalweg migration distance, respectively. W i + 1 and W i represent the bankfull widths at the (i + 1)th and ith sections, respectively. Δ D i + 1 and Δ D i are the thalweg migration distances at the (i + 1)th and ith sections, respectively. Δ x is the longitudinal distance between adjacent sections. A dimensionless parameter of the lateral migration index (M) was defined as W ¯ / D ¯ , which can be used to represent the lateral stability of the whole reach [5].

3.2. Determination of Different Boundary Conditions

The boundary conditions were divided into the upstream boundary condition, downstream boundary condition, and other boundary conditions. Previous studies have shown that antecedent flow and sediment regime characteristics can also significantly influence channel adjustments in alluvial rivers [35,36,37]. Therefore, the upstream boundary condition was represented by the previous n-year average water discharge ( Q ¯ n ) and sediment concentration ( S ¯ n ) at the LM station. The TG elevation is the base level of the Xiaobeiganliu reach; thus, the downstream boundary condition was represented by the variation in the annual TG elevation ( Δ Z ). In addition, the longitudinal channel slope and the elevation difference between the main channel and floodplain were determined to be other boundary conditions in this study. The elevation difference between the main channel and floodplain at a section is approximately equal to the cross-sectional bankfull depth, and the reach-scale bankfull depth ( H ¯ ) can be written as:
H ¯ = exp 1 2 L i = 1 N 1 ( ln H i + 1 + ln H i ) × Δ x
where H i + 1 and H i represent the bankfull depths at the (i + 1)th and ith sections, respectively.

4. Results and Discussion

4.1. Variation in Channel Bankfull Width

The bankfull widths at sedimentation sections were determined in the Xiaobeiganliu reach in 1986–2001. The section-scale bankfull widths ranged between 600 and 3965 m in 2001, which indicated that the bankfull width varied significantly along the Xiaobeiganliu reach. Figure 5 shows the temporal variations in the bankfull width at the sections of CS61 and CS41 from 1986 to 2001. The figure shows that the bankfull width at the CS61 section fluctuated dramatically during this period, with the values varying between 1435 and 2719 m. The maximum bankfull width occurred in 1989 because the mean water discharge in this year was greater than the discharges in other years. The bankfull width did not change much at the CS41 section, with the magnitude increasing from 411 m in 1986 to 601 m in 2001. There are two main reasons for the spatial difference: one is that the bank soil at the CS61 section was easier to erode than that at the CS41 section; the other is that there was lack of enough river training works to limit river bank retreat at the CS61 section during this period. The reach-scale bankfull width of the Xiaobeiganliu reach was calculated using the Equation (1), as shown in Figure 5. The reach-scale bankfull width showed a decrease trend from 1866 m in 1986 to 1266 m in 2001, although bank retreat often occurred in the Xiaobeignaliu reach in the non-flood seasons. This result is mainly because hyperconcentrated floods with sediment concentrations greater than 300 kg/m3 often occur in the flood season in this reach [38,39]. During a hyperconcentrated flood, water with very large amounts of sediment overtops the original bankfull level, and severe sediment deposition occurs on the floodplain marginal, with a new lip being formed, which causes the bankfull geometry to become narrower and deeper [40,41]. The decrease of bankfull width shrank the main channel in the Xiaobeiganliu reach, which may cause extreme high-water levels during flood seasons and bring potential hazards to the safety of people and levees.

4.2. Variation in Thalweg Migration Distance

The section-scale thalweg migration distance was determined based on the repeatedly surveyed profiles of sedimentation sections in the Xiaobeiganliu reach in 1986–2001. Figure 6 shows the average, maximum, and minimum annual thalweg migration distances at 25 sedimentation sections along the Xiaobeiganliu reach. The section of CS63 had a maximum average thalweg migration distance of 1950 m, with a maximum annual migration distance of 4290 m in 1998. The average thalweg migration distances at the sections of CS59, CS58, CS42, and CS41 were relatively small, with magnitudes less than 500 m. This is because there were several natural nodes and river training works that can control the river regime at these sections. The cross-sectional thalweg migration distances in the upper reach were relatively greater than those in the middle and lower reaches. The results also indicate that thalweg migration distance varied greatly along the Xiaobeiganliu reach, and the variation tendency in one section cannot represent the tendency of the whole reach. Therefore, it is necessary to investigate the changes in the reach-scale thalweg migration distance.
Table 1 shows the reach-scale thalweg migration distances in the Xiaobeiganliu reach and three sub-reaches. The thalweg migration distance in the whole reach ranged from 210 to 707 m, and the maximum thalweg migration occurred in 1991. Additionally, the average reach-scale thalweg migration distance in this reach was 385 m. In the three sub-reaches, the LM-MQ reach had a maximum annual thalweg migration distance of 1603 m, and the maximum annual thalweg migration distances were 930 and 510 m in the MQ-JMK and JMK-TG reaches, respectively. This result is because the middle reach is located at the top of the anticline of the Tertiary laterite layer, and the erosion resistance of the soil is stronger than that in the upper reach. In addition, some natural nodes and river training works in the middle and lower reaches played a significant role in restricting lateral migration. Thalweg migration in the Xiaobeiganliu reach was beneficial for the aquatic and riverine ecosystems, but the rapid migration significantly affected the stability of river channel and damage riparian hydraulic structures, which may threaten the safety of flood control.

4.3. Effect of Upstream Boundary Conditions on Lateral Migration

Conceptually, the hydraulic geometry of alluvial rivers is closely related to stream characteristics that vary with time [21]. The previous n-year average water discharge and sediment concentration increasingly appear to be useful parameters that can be used to explain the delayed response of channel adjustments of rivers [5,37,42]. To investigate the effect of upstream boundary conditions on lateral migration in the Xiaobeiganliu reach, the relationships were established between the lateral migration index and the parameters of Q ¯ n and S ¯ n . The correlation degree between M and Q ¯ n reached the maximum value at n = 3, and the correlation degree between the lateral migration index and S ¯ n reached the maximum value at n = 4. Figure 7a shows the relationship between the lateral migration index and Q ¯ 3 , and it indicates that M increased with an increase in Q ¯ 3 , with a correlation coefficient (R2) of 0.14 using a power function. The lateral migration index can also be expressed by a power function of S ¯ 4 , and the correlation coefficient was approximately 0.23 (Figure 7b).
Taking into account the factors of the previous n-year water discharge and sediment concentration, an empirical relationship between M and the two parameters was proposed, which can be expressed by:
M = k Q ¯ 3 / 100 α S ¯ 4 β
The data of previous 3-year average water discharge, previous 4-year sediment concentration and lateral migration index in 1986–2001 were used to conduct a multiple nonlinear regression based on Equation (4). This regression analysis was conducted using the Statistical Product and Service Solution software (SPSS), which is widely used to perform statistical analysis in the areas of natural sciences and technical sciences. The results show that the calibrated parameters of k, α, and β were equal to 0.003, 1.056, and 0.903, respectively. Figure 7c shows the relationship between the lateral migration index and the comprehensive factor of ( Q ¯ 3 / 100 ) 1.056 ( S ¯ 4 ) 0.903 , with a higher correlation coefficient of 0.38. This result indicates that the upstream boundary conditions can affect the lateral migration in the Xiaolangdi reach, and the previous 3-year average water discharge and 4-year average sediment concentration were two key factors during this period.

4.4. Effect of Downstream Boundary Conditions on Lateral Migration

The base level is considered to be the key downstream boundary condition of an alluvial river, and the change in base level can lead to significant morphological adjustments [20]. Previous studies have shown that changes in TG elevation can greatly affect the aggradation and degradation processes in the Xiaobeiganliu reach [43,44]. To investigate the effect of downstream boundary conditions on lateral migration in the Xiaobeiganliu reach, the relationship was established between the channel lateral migration index and the variation in the annual TG elevation (Figure 8). It was found that the lateral migration index increased with an increase in Δ Z , and the relationship could be written as M = 0.3607 × ( Δ Z ) 0.2536 , with a correlation coefficient of 0.62. This result implied that the downstream boundary conditions played an important role in the channel lateral migration, and the drastic change in the annual TG elevation could greatly increase the channel lateral migration in the Xiaobeiganliu reach.

4.5. Effect of Other Boundary Conditions on Lateral Migration

Previous studies have shown that channel lateral migration is also affected by other boundary conditions, such as channel slope, bank soil composition, riparian vegetation, variables of planform geometry, and river training works [29,31,35,45]. Figure 9a shows the relationship between the lateral migration index and channel slope in the Xiaobeiganliu reach during the study period, and the data were relatively scattered. The correlation analysis of two variables was conducted using SPSS, and the result showed that the p-value equaled 0.523 (>0.05), which indicated that there was no obvious relationship. Therefore, the channel slope had little effect on the lateral migration in the Xiaobeiganliu reach. Tian et al. [46] argued that the elevation difference between the floodplain and main channel may also influence lateral migration in wandering rivers, but the effect was not very significant. To investigate the effect of the elevation difference between the floodplain and main channel on lateral migration in the Xiaobeiganliu reach, Figure 9b shows the relationship between the lateral migration index and H ¯ . The correlation analysis of two variables was also conducted using SPSS, and the result showed that the p-value equaled 0.335 (>0.05), which implied there was no obvious relationship between the two variables. Therefore, the elevation difference between the floodplain and main channel had little effect on the lateral migration in the Xiaobeiganliu reach.
Bank soil composition can also influence lateral migration in wandering rivers, and a lower clay content of bank soil usually results in more serious bank erosion [16]. Riparian vegetation can affect bank erosion to some extent, but it has little influence on long-term lateral migration distance [31,47]. For river training works, levee protection works have little influence on lateral migration because they seldom touch the main channel; however, the flow guide works can reduce the shifting of the thalweg [5,48]. Therefore, further detailed research on the effect of bank soil composition, riparian vegetation, and river training works must be conducted in the Xiaobeiganliu reach in the future.

5. Conclusions

The The Xiaobeiganliu reach is a typical wandering reach of the Middle Yellow River, which has frequent channel lateral migration. The variations in bankfull width and thalweg migration distance were calculated in the Xiaobeiganliu reach during the period between 1986 and 2001. In addition, the effects of different boundary conditions on lateral migration were investigated quantitatively. The conclusions obtained from this study are as follows:
(i) The reach-scale bankfull width in the Xiaobeiganliu reach showed a decreasing trend from 1866 to 1266 m due to the frequent hyperconcentrated flood events during 1986–2001. Thalweg migration distance varied greatly along the whole reach, and the reach-scale thalweg migration distance ranged from 210 to 707 m. In the three sub-reaches, the LM-MQ reach had the maximum annual thalweg migration distance. The decrease of bankfull width and rapid thalweg migration may threaten the safety of flood control in the Middle Yellow River.
(ii) The upstream boundary conditions and downstream boundary conditions are the two key factors influencing lateral migration in the Xiaobeiganliu reach. An empirical relation was established between the lateral migration index and the comprehensive factor and was composed of the previous 3-year average water discharge and 4-year average sediment concentration. In addition, a power function was proposed between the lateral migration index and the variation in the annual TG elevation, which indicated that the change in the annual TG elevation could significantly increase the channel lateral migration in the Xiaobeiganliu reach. These empirical relations can be used to calculate and predict the processes of channel lateral migration in the Xiaobeiganliu reach. The methods and results can also be applied to investigate lateral migration in other wandering rivers, but the parameters in the relations should be calibrated according to the observed data of the study rivers.

Author Contributions

Funding acquisition & Writing—original draft, J.L.; Formal analysis & Software, Y.Z.; Writing—review & editing, Q.J. All authors have read and agreed to the published version of the manuscript.

Funding

The study reported herein was supported by the High-level Scientific Research Foundation for the Introduction of Talent at Yangzhou University (Grant No. 5015/137011795).

Acknowledgments

The constructive suggestions of the anonymous reviewers and the AE are gratefully acknowledged.

Conflicts of Interest

The authors declare that there are no conflicts of interest.

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Figure 1. Overview of the study area: (a) Yellow River basin; (b) sketch of the Xiaobeiganliu reach; (c) photograph of the river channel.
Figure 1. Overview of the study area: (a) Yellow River basin; (b) sketch of the Xiaobeiganliu reach; (c) photograph of the river channel.
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Figure 2. Temporal variations in the flow and sediment regime entering the Xiaobeiganliu reach: (a) annual water discharge; (b) annual sediment discharge.
Figure 2. Temporal variations in the flow and sediment regime entering the Xiaobeiganliu reach: (a) annual water discharge; (b) annual sediment discharge.
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Figure 3. Variations in the cumulative channel evolution volume and the base level: (a) cumulative channel evolution volume; (b) Tongguan (TG) elevation.
Figure 3. Variations in the cumulative channel evolution volume and the base level: (a) cumulative channel evolution volume; (b) Tongguan (TG) elevation.
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Figure 4. Determination of the bankfull width and thalweg migration distance at the section of CS61.
Figure 4. Determination of the bankfull width and thalweg migration distance at the section of CS61.
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Figure 5. Temporal variations in the bankfull width at the typical sections of CS41 and CS61 and the reach-scale bankfull width in the Xiaobeiganliu reach.
Figure 5. Temporal variations in the bankfull width at the typical sections of CS41 and CS61 and the reach-scale bankfull width in the Xiaobeiganliu reach.
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Figure 6. Spatial variations in section-scale thalweg migration distance along the Xiaobeiganliu reach.
Figure 6. Spatial variations in section-scale thalweg migration distance along the Xiaobeiganliu reach.
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Figure 7. Relationships between the lateral migration index and the upstream boundary conditions in the Xiaobeiganliu reach: (a) previous 3–year average water discharge; (b) previous 4-year sediment concentration; (c) comprehensive parameter.
Figure 7. Relationships between the lateral migration index and the upstream boundary conditions in the Xiaobeiganliu reach: (a) previous 3–year average water discharge; (b) previous 4-year sediment concentration; (c) comprehensive parameter.
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Figure 8. Relationship between the lateral migration index and the variation in TG elevation.
Figure 8. Relationship between the lateral migration index and the variation in TG elevation.
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Figure 9. Relationships between the lateral migration index and other boundary conditions of (a) channel slope; (b) elevation difference between floodplain and main channel.
Figure 9. Relationships between the lateral migration index and other boundary conditions of (a) channel slope; (b) elevation difference between floodplain and main channel.
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Table 1. Reach-scale thalweg migration distance in the Xiaobeiganliu reach and three sub-reaches (m).
Table 1. Reach-scale thalweg migration distance in the Xiaobeiganliu reach and three sub-reaches (m).
YearLM-MQ ReachMQ-JMK ReachJMK-TG ReachXiaobeiganliu Reach
1987470147189230
1988536225281319
19891082930292586
19901603350347543
19911393625485707
1992974671312535
1993270508324347
1994245620165265
1995592127424337
1996469421510472
1997441360172276
1998281274421333
1999375287275304
2000164314194210
2001276235389307

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Li, J.; Zhang, Y.; Ji, Q. Lateral Migration in a Wandering Reach of the Middle Yellow River in Response to Different Boundary Conditions. Appl. Sci. 2020, 10, 5229. https://doi.org/10.3390/app10155229

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Li J, Zhang Y, Ji Q. Lateral Migration in a Wandering Reach of the Middle Yellow River in Response to Different Boundary Conditions. Applied Sciences. 2020; 10(15):5229. https://doi.org/10.3390/app10155229

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Li, Jie, Yi Zhang, and Qingfeng Ji. 2020. "Lateral Migration in a Wandering Reach of the Middle Yellow River in Response to Different Boundary Conditions" Applied Sciences 10, no. 15: 5229. https://doi.org/10.3390/app10155229

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