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The Luangwa River (A) and studied reaches (B and C); numbers relate to individual meanders described in the text or shown on the following diagrams. 

The Luangwa River (A) and studied reaches (B and C); numbers relate to individual meanders described in the text or shown on the following diagrams. 

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Air photo interpretation and field survey were used to examine rates and patterns of planform change over the last 40 years on an 80 km reach of the Luangwa River, Zambia. The river, a tributary of the Zambezi, is a 100–200 m wide, medium sinuosity sand-bed river (sinuosity index 1·84). High rates of channel migration (<33 m a−1) and cutoffs on mea...

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Context 1
... Luangwa River rises in the northeastern part of Zambia close to the Malawi border and flows southwest to join the Zambezi River at the Mozambique±Zimbabwe±Zambia border ( Figure 1A). For most of its length the river forms a sand-bed meandering river with a large alluvial plain. Some river sections resemble anastomosing or wandering morphologies in that two or more actively flowing channels are separated for a number of kilometres by large expanses of vegetated floodplain and/or mid-channel bars are present under low and medium ...
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... planform and floodplain morphology were examined using available aerial photographs (1:20 000 to 1:40 000 scale). Photography was available for years 1956, 1957, 1967, 1972, 1982, 1983 and 1988; only the 1967, 1983 and 1988 photography covered the entire study area. Small format, oblique aerial photographs taken in 1997 were also available for the northern reaches for comparison. Following preliminary analysis of the aerial photographs of the Luangwa, four reaches (A±D) were defined to facilitate further analysis. Reaches were defined according to morphology and the type and level of channel planform instability Earth Surf. Process. Landforms 25, 421±436 (2000) exhibited ( Figure 1B). Within reaches, the location of specific morphological features and areas of change described in the text are numbered (Figures 1B). For six meander bends (15±20) in reach D, manual co- registration of available aerial photographs was undertaken using a stereo facet plotter; resulting channel outlines were then digitized into a Laserscan GIS where the overlay facility was used to examine rates of bank erosion. Computerized georectification was not undertaken for this study owing to the apparent absence of enough obvious identifiable ground control points or detailed maps of the study area. Comparison of the few known actual distances between fixed points with those obtained from the aerial photographs showed error values of between 3Á0 and 9Á4 m with average values of 5Á9. The smaller scale 1:40 000 photography had the largest error values. These errors need to be taken into account when using the data for analytical purposes. Gurnell et al. (1994) found errors of similar magnitude in a comparable study with the conclusion that differences in channel boundary positions in excess of 5 m are likely to be the result of true planform change rather than errors introduced by data handling. Strictly, bank erosion distances less than the maximum error should be ignored (equivalent to 1Á8 m a À1 ). Erosion rates of an order of magnitude larger than the maximum error were observed in the ...
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... pattern of meander development is well represented by the model, with lobing and downstream translation of meanders clearly evident and correct prediction a feature of over 50 per cent of the channel length. However, the amount of erosion on some meander bends has been overpredicted while on others it has been underestimated slightly (Figure 11). Nevertheless the modelling approach appears to work well. Discrepancies between actual and predicted erosion are most likely due to inhomogeneity in floodplain sediments and this will be accounted for in further work. Floodplain morphology for the Luangwa River is highly variable and clearly, bank resistance will be highly dependent on the predominant sediments. Differences in bank sediments mean that values of k will vary along the river so although the model predicts well where erosion will occur, it is less accurate on predicting amounts. The next stage of the model will thus be to include values for k that vary with sediment type. Floodplain structures such as abandoned meanders and ridge and swale structures can be delineated from aerial photographs and digitized to provide a Copyright # 2000 John Wiley & Sons, Ltd. Earth Surf. Process. Landforms 25, 421±436 (2000) geomorphological map of the floodplain. The morphological units can then be combined with field data on sediment characteristics for each morphological unit to produce a floodplain bank resistance map which will modify erosion rates as compared to the current model. It is expected that this will greatly improve the accuracy of the predictive ...
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... Arc/Info program was written to apply the model. User input to the model included the channel centre points at one channel width represented as x and y coordinates in an ASCII text file, the values for w, c and k, and the number of iterations (i.e. the number of years simulated). Output was as an Arc/Info coverage showing the predicted new channel centre line as a single arc. The model was then run using the 1956 channel centre line as a starting point, the values of w, c and k as previously determined, and 11 iterations (i.e. years) in an attempt to predict the 1967 channel centre line ( Figure ...
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... to the Luangwa River were undertaken in 1990, 1996 and 1997. During the 1997 visit a low-level reconnaissance flight over reaches A±C ( Figure 1B and C) was undertaken allowing major planform changes (2000) PATTERNS OF CHANNEL PLANFORM CHANGE (e.g. avulsions and cutoffs) that had taken place since 1988 (the last date from which channel planform was mapped due to aerial photograph availability) to be detected. During the first visit the nature of bank erosion was observed and a baseline survey of the river bank position undertaken on one bend (bend 15; Figure 1C) with fixed points identified. Bend 15 was selected for detailed analysis because of easy access and the fact that access roads to Chinzombo safari lodge and a nearby camping ground had been lost to the river. During the 1996 visit, for the purpose of this study, a repeat survey was undertaken of bend 15, and bank profiling and bank sediment sampling were undertaken at bend 15 and at over 20 other meander bends locations. Following this study and floods during the wet season of 1998±99, Chinzombo safari lodge is being relocated owing to much of it being lost to the river (P. Berry, personal ...
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... to the Luangwa River were undertaken in 1990, 1996 and 1997. During the 1997 visit a low-level reconnaissance flight over reaches A±C ( Figure 1B and C) was undertaken allowing major planform changes (2000) PATTERNS OF CHANNEL PLANFORM CHANGE (e.g. avulsions and cutoffs) that had taken place since 1988 (the last date from which channel planform was mapped due to aerial photograph availability) to be detected. During the first visit the nature of bank erosion was observed and a baseline survey of the river bank position undertaken on one bend (bend 15; Figure 1C) with fixed points identified. Bend 15 was selected for detailed analysis because of easy access and the fact that access roads to Chinzombo safari lodge and a nearby camping ground had been lost to the river. During the 1996 visit, for the purpose of this study, a repeat survey was undertaken of bend 15, and bank profiling and bank sediment sampling were undertaken at bend 15 and at over 20 other meander bends locations. Following this study and floods during the wet season of 1998±99, Chinzombo safari lodge is being relocated owing to much of it being lost to the river (P. Berry, personal ...
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... and mechanisms of bank erosion on meander bends. Comparison of the change in river bank position using GIS overlays on meander bends 15 to 20, as depicted on the 1982 and 1987 aerial photographs, revealed erosion rates of up to 33 m a À1 (Figure 10). Rates of bank erosion, however, were highly variable, depending primarily upon position on the bend. For example, at bend 15 analysis of changes in the position of bend 1 between 1982 and 1988 demonstrated a mean annual erosion rate of 8Á0 m a À1 with values varying between 0 and 21 m a À1 , thus indicating a change in meander geometry during the period. Rates of bank erosion also varied with stages of meander development, being greatest during the middle stages of meander evolution and decreasing with increased sinuosity and concave bank bench formation. Comparison of the position of the riverbank in 1988 with that observed in the field, at a number of the bends in 1990, 1996 and 1997, confirmed that these high rates of erosion were representative, or possibly an underestimate, over longer periods. At all six bends maximum erosion rates were beyond the bend apex, as a result of a downstream rotation of bends. Variations in bank erosion rates could also be explained in relation to whether the meander was cutting into recent alluvium or older alluvial sediments at the floodplain margins. Field observations showed that infilled ox-bow lakes and calcareous deposits (possibly representing former hot spring locations; M. Thomas, personal communication) also resisted erosion and the nature of meander development supporting early work of Friedkin (1945) on the Mississippi River. Typically old infilled meanders had between 45 and 75 per cent silt and clay in the lower (`25 per cent of bank height), middle (50 per cent of bank height) and upper (75 per cent of bank height) bank profile. In contrast, the rest of the Earth Surf. Process. Landforms 25, 421±436 (2000) floodplain had lower percentages of silt and clay especially in the lower and middle sections of the bank profile (Table I). Bank erosion was seen to result principally from mass failure of riverbank`blocksriverbank`blocks' as a result of undermining due to erosion of sand lenses within the lower bank profile (Thorne and Tovey, ...

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Citations

... Previous studies were based on field data and aerial photographs in most of the cases. However, advances in computation and computer powers are extensively used to identify river planform dynamics (Ashworth et al., 2000;Gilvear et al., 2000). Therefore, recent studies have used remotely sensed satellite data along with tools and programming languages such as QGIS and MATLAB, and Python (Mosselman, 1995). ...
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The development of hydraulic structures has impacted the river discharge and sediment transportation, thus highlighting the river planform changes. Among 103 river catchments in Sri Lanka, the Mahaweli River is the longest river with the largest basin. Many development projects over the years diversely impacted the changes in river masks. However, no study has been conducted to quantify the planform changes in the lower Mahaweli River. Therefore, a comprehensive study was conducted to analyse the river planform changes over 30 years (1991-2021) from Damanewewa to Trincomalee. Freely available remotely sensed satellite data with 30 m resolution were used in the analysis. These images were processed using the QGIS mapping tool and RivMAP toolbox in MATLAB. Major changes were identified at the downstream part of the river and an oxbow lake formation was also observed. The average width for the entire reach (Wra) was identified as 14.83 m and channel width average (Wavg) was noted as 18.09 m. In addition, erosion and accretion rates were calculated, and the cumulative sequence of these rates was increased over the years affecting the change in channel width. Furthermore, the migration rates were also computed with generated river centerline. Highest migration rate reached about 400 m/yr, in the downstream which finally leads to severe meandering. Results revealed that this methodology can be applied to similar river planform analysis. Further, these results showcase the potential importance of analyzing channel stability as well as for water resource management.
... Heavier rains and longer dry periods can lead to more extreme flows [1]. However, while some rivers have experienced more frequent low flows and disappearing floods [9], in others, the magnitude and frequency of floods have increased [20,21]. Researchers differ in their opinions on which characteristic discharge plays the most important role in transforming channels and floodplains. ...
... Researchers differ in their opinions on which characteristic discharge plays the most important role in transforming channels and floodplains. Gilvear et al. [20] stressed the role of increasingly frequent extreme floods; others considered the changes in bankfull discharge as the key factor [22,23]. However, the role of increasingly frequent and persistent low stages in shaping the channel morphology is also not negligible [24]. ...
... The consequences of altered hydrology may differ between rivers [33] as the fluvial response to change may vary in space and time, even within the same river, depending on the current state of the system [20,33]. The main difficulties in analysing the effects of environmental change are the uncertainties of the initial state and the non-linearity of the processes involved [34,35]. ...
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... Especially vulnerable to elephant depredation were drought-prone areas where crop raiding elephants threatened food security (Osborn & Rasmussen, 1996). Due to geomorphological characteristics of the Luangwa Valley, the river action also played a role in the regular changes of the Luangwa River course in particular (Gilvear, Winterbottom & Sichingabula, 2000). Such phenomena might have been locally influencing the seasonal distribution of the wild fauna. ...
... One such underexplored possible corridor is the Luangwa Valley in eastern Zambia. The Luangwa River, a tributary of the Zambezi, is one the last undammed large rivers in Africa (Gilvear et al., 2000). For more than 700 km, the Luangwa flows unimpeded through a northeast/southwest-oriented valley that is a southern extension of the Eastern African Rift System (Fig. 1). ...
... Chute cutoffs tend to occur in bends with low and intermediate curvatures [Howard, 1996], though they could happen in highly convoluted bends as well [Camporeale et al., 2008;Ghinassi, 2011;Grenfell et al., 2014]. They are often caused by high flows, coupled with appropriate combinations of channel and floodplain geomorphology [Ghinassi, 2011;Gilvear et al., 2000;Hooke, 2004;Howard and Knutson, 1984;Kleinhans and van den Berg, 2011]. ...
... In some models, the effect of bank erosion on migration is represented by a simple constant [Ferguson, 1981;Gilvear et al., 2000;Hooke, 2003]. In others, it is incorporated into h(s) that has complex, nonlinear functions as one of many parameters [Guneralp and Rhoads, 2009;Sylvester et al., 2019]. ...
... After the initiation of neck cutoff, the abandoned channel bend is removed and the remaining segment is smoothed for subsequent simulation [Bogoni et al., 2017;Frascati and Lanzoni, 2009] ( Fig. 4). Many of these models, simpler or more complex, have successfully reproduced the planform shapes of the simulated river reaches or bends that are statistically (or visually) similar to those of the real meandering rivers [Gilvear et al., 2000;Guneralp and Rhoads, 2009;Motta et al., 2012;Schwendel et al., 2015;Schwenk et al., 2015;Sylvester et al., 2021]. The apparent success implies that ...
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... As such, one of the primary natural factors that influence oxbow lake formation and persistence is the dynamic nature of river systems. Rivers in Africa are subject to frequent changes in flow regime, which can lead to the formation of meanders and the subsequent detachment of meander bends to form oxbow lakes (Gilvear et al., 2000;Rodnight et al., 2005). Since the existence and functionality of oxbow lakes are dependant on intermittent flooding events or rainfall patterns within an area, they could gradually transit into a different habitat type i.e., from wetlands, into non-inundated terrestrial landscape depending on the intensity of sedimentation processes (Piégay et al., 2000). ...
... It is the most feasible method to estimate and evaluates the basins that retaliate to climate, drainage, and flash flood probability [4,27,39,45,46,51,64,74,75,78]. Remote sensing is an efficient tool used for interpreting structural impacts [2,18,49,67,96] and channel sifting [1,25,29,68] beside the tectonic controls in river sinuosity [26,30,37,38]. ...
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The Reth River is a ground water fed river of Central Ganga Plain, ~107 km long and drains ~391.71 km2. It flows through an incised valley until confluences with the Gomati River. Incision of the river valley has been investigated by using a longitudinal profile, escarpment height and morphology of the valley. The study was executed using Toposheet of scale 1 : 50 000 of Survey of India (SOI) and decadal satellite imageries, with GIS techniques to estimate the properties of basins. The mean bifurcation ratio of the basin is 5.49, but variation between the successive stream orders suggests that the study area is tectonically controlled. The drainage density (0.66), stream frequency (0.46), constant of channel maintenance (1.51) and length of overland flows (0.80) indicate of the high surface rock permeability, low surface runoff, high infiltration rate, and least erodible properties respectively. The drainage texture (0.30) suggests a very coarse texture and smooth topography. RHO coefficient value (0.13) indicates the low capacity of water. The elongation ratio (0.45), circulatory ratio (0.28) and form factor (0.16) indicate that the basin is highly elongated due to shallow relief. The downstream variation of escarpment heights indicates an increasing downstream trend of escarpment heights. According to aerial views of 46 years, oxbow lakes are formed through several processes, such as (i) a flow separation zone at the entrance of the channel creating a sediment plug, (ii) sediment sorting by flow gradients and decantation in the ponded areas. The drainage basin shape (3.02) indicates the basin is tectonically active. River longitudinal profile ranges are from 124 to 102 m amsl. This indicates the 4th-order river with dendritic pattern.
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... Therefore, the total error can be calculated by summing the squares of all individual errors and taking the square root of the sum, resulting in a value of 5.99 m. This error is acceptable, as measurement displacement of channel boundaries with a magnitude of >5 m likely represents true channel adjustments in aerial photographs , an absolute value criterion adopted in multiple previous studies (e.g., Gilvear et al., 2000;Nicoll & Hickin, 2010;Winterbottom, 2000). ...
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