Environmental catastrophes on a global scale have prompted a thorough evaluation of river morphology for sustainable basin development methods. Geomorphological investigations of river basins can provide significant information regarding Quaternary tectonic deformations. The present investigation intends to reveal tectonic imprints in the Bearma River Basin (BRB). Bearma is a significant river in central India that flows through Vindhyan Supergroup, Lameta, and Deccan Trap and contributes to developing the architecture of the marginal Gangetic plain. The digital elevation data has been utilized to obtain the morphotectonic indices, tectonic activity classes, and topographic characteristics. Bearma is an elongated basin with uplifted topography, continuously migrating channels, high hypsometric integral, and several stream length-gradient anomalies, indicating tectonically controlled. According to the tectonic activity index, 15.33%, 38.99%, and 46.55% areas of the BRB have high, moderate, or low tectonic activity, respectively. In conjunction with field investigations, the topographic and lineament study of the BRB has revealed significant relief variations and the importance of tectonic activity over erosion and depositional processes in determining the landscape. Reactivation of basement faults and subsurface lineaments caused by Himalayan tectonics and the Narmada Son North Fault have resulted in the recent deformation and development of the hydrographic network.

  • The morphotectonic evolution of Northern Peninsular river basin in drought-prone Bundelkhand region of India is addressed.

  • Reactivation of basement faults and subsurface lineaments due to Himalayan tectonic and activity of Son-Narmada North Fault are responsible for the recent deformation and development of the current hydrographic network in the Northern Peninsular River Basin.

SR. No.AcronymsFull form
Af Asymmetry factor 
AHP Analytical hierarchy process 
AMSL Above mean sea level 
ASTER Advance spaceborne thermal reflection and emission radiometer 
AUC Area under ROC curve 
BRB Bearma River Basin 
DEM Digital elevation model 
ETM+ Enhanced thermal mapper plus 
FPR False positive rate 
10 GIS Geographic information system 
11 Hc/HI Hypsometric curve/hypsometric interval 
12 IMD Indian Meteorological Department 
13 Km Kilometer 
14 LD Lineament density 
15 LS Slope Length And Steepness Factor 
16 metre 
17 N–E–S–W North–east–south–west 
18 NSNF Narmada Son North fault 
19 PCM Pair-wise comparison matrix 
20 R Basin relief 
21 Rb Bifurcation ratio 
22 Re Elongation ratio 
23 Rn Ruggedness number 
24 ROC Receiver operating characteristics 
25 SB Sub-basin/sub-basins 
26 SDM Spatial data modular 
27 Si Sinuosity index 
28 SL Stream length-gradient index 
29 Smf Mountain front sinuosity 
30 T Transverse topographic symmetric factor 
31 TPR True positive rate 
32 Vf Valley Floor width and height ratio 
SR. No.AcronymsFull form
Af Asymmetry factor 
AHP Analytical hierarchy process 
AMSL Above mean sea level 
ASTER Advance spaceborne thermal reflection and emission radiometer 
AUC Area under ROC curve 
BRB Bearma River Basin 
DEM Digital elevation model 
ETM+ Enhanced thermal mapper plus 
FPR False positive rate 
10 GIS Geographic information system 
11 Hc/HI Hypsometric curve/hypsometric interval 
12 IMD Indian Meteorological Department 
13 Km Kilometer 
14 LD Lineament density 
15 LS Slope Length And Steepness Factor 
16 metre 
17 N–E–S–W North–east–south–west 
18 NSNF Narmada Son North fault 
19 PCM Pair-wise comparison matrix 
20 R Basin relief 
21 Rb Bifurcation ratio 
22 Re Elongation ratio 
23 Rn Ruggedness number 
24 ROC Receiver operating characteristics 
25 SB Sub-basin/sub-basins 
26 SDM Spatial data modular 
27 Si Sinuosity index 
28 SL Stream length-gradient index 
29 Smf Mountain front sinuosity 
30 T Transverse topographic symmetric factor 
31 TPR True positive rate 
32 Vf Valley Floor width and height ratio 

Tectonic activities have occurred on the Earth's surface for millions of years, and the Earth adjusts accordingly (Williams 2017; Radaideh & Mosar 2019). Rivers are the easiest geomorphological features to show the effects of these tectonic activities due to their rapid morphological changes (Keller & Pinter 2002; Perucca et al. 2014). Morphotectonic analysis helps us better understand the landform evolution and behaviour (Prakash et al. 2016a; Urbano et al. 2017).

As Earth's temperature has risen by 2°C in recent decades, unpredictable climate extremes, including droughts, deserts, and floods, must be anticipated and regulated (UNODRR GAR special report on drought 2021). Apart from unpredicted precipitation, soil degradation is a major concern in India, with 146.8 million hectares of degraded land out of 329 million. A severe drought that lasted for a long time across Asia between 1999 and 2000 impacted almost 60 million people (Dinpashoh et al. 2022). Global environmental disasters have prompted river morphology investigations. The topography of the region can impact the rate and magnitude of the disaster (Dinpashoh et al. 2019). The tectonic-geomorphology of a landscape encompasses the interplay between tectonic processes and climate-driven gradation on a regional scale (Hack 1973; Jaiswara et al. 2019).

The Indian subcontinent's morphology continuously modifies due to constant tectonic activity (Roy & Purohit 2018). Since the Precambrian, the central Indian peninsula has experienced tectonic reactivation (Kothayari & Rastogi 2013). The Son Valley of the Vindhyan Basin appears to have been tectonically disturbed throughout its sedimentation history, possibly up to the present (Baruah & Misra 2013). The Yamuna River and its tributaries shape the architecture of the Gangetic peripheral bulge (Gosh et al. 2017). Rivers draining peninsular India fill the Indo-Gangetic basin at a rate of 0.007 mm/year through erosion (Valdiya 2015).

Several geomorphic indicators have been investigated worldwide to analyse the overprinting of active tectonic deformation on landscape morphology (Strahler 1964; Hack 1973; Blanc et al. 2020). Similar approaches are also adopted in various geological settings in the Indian subcontinent (Joshi et al. 2013; Kale et al. 2013; Prakash et al. 2019). The morphological and structural setup of northern peninsular rivers has been investigated to understand the erosional and depositional dynamics in the Ganga basin, which helps to deal with natural disasters in the nation's most populated region (Valdiya 2015; Bhatt et al. 2021). Some work has already been done on northern peninsular rivers related to drought risk, geochemistry, and morphometry (Jain et al. 2015; Panda et al. 2019; Singh et al. 2022). However, very limited work has been carried out on the morphotectonic perspective of these rivers. The Bearma River Basin (BRB) requires extensive study as it is one of the most prominent tributaries of the Gangatic marginal river systems in the drought-prone Bundelkhand region. Various geospatial techniques have provided effective ways to study any region's morphotectonic characteristics, which were conventionally thought to be undisturbed (Peshwa et al. 1987).

The present study of the BRB aims at: (1) morphotectonic analysis to comprehend the tectonics' effect on the drainage network and landscape; (2) topographical (slope length and steepness factor) characterization, lineaments, and drainage orientation analysis to understand hydrological behaviour; and (3) tectonic activity categorization using the analytical hierarchy process (AHP) technique to demarcate the tectonically active zone. This assessment would provide a better understanding of the northern peninsular river's evolution and be helpful in watershed management in such a drought-prone area of Central India.

Area of study

The Bearma River arises from Sahajpur village, Sagar district, and confluences with the Ken River at Madli village, Pawai tehsil, Panna, Madhya Pradesh (Figure 1). The Bearma, with 178 km of length, is one of the major Ken River tributaries in central India. The BRB has a 5,960 km2 area and covers Sagar, Damoh, Narsimhapur, Jabalpur, Satna, and Panna, Madhya Pradesh. The BRB lies in a subtropical region with 27 °C to 35 °C average temperature and 1,115 mm of average long-term annual rainfall (from 1970 to 2020, IMD data).
Figure 1

Study area map of Bearma river basin (BRB) with lithological units; (a) geological map of India, (b) lithological map of Bundelkhand region; (c) detailed lithological map of BRB (source: modified after District Resource Map, 2001, Geological Survey of India, and Baruah & Misra 2013); (d) pie diagram showing the percentage of lithological units present in BRB.

Figure 1

Study area map of Bearma river basin (BRB) with lithological units; (a) geological map of India, (b) lithological map of Bundelkhand region; (c) detailed lithological map of BRB (source: modified after District Resource Map, 2001, Geological Survey of India, and Baruah & Misra 2013); (d) pie diagram showing the percentage of lithological units present in BRB.

Close modal

Geology of the BRB

The BRB is present in the Son Valley region of the Vindhyan basin. The Bearma River flows through Deccan Traps, Lameta Limestone, Rewa Sandstone, Lower Bhander Sandstone, Bhander Limestone, Lower Bhander Shale, Upper Bhander Sandstone, Ken Alluvium, and small Laterite outcrops (Figure 1(a)–1(c)). Upper Bhander Sandstone covers 70% area of the BRB (Figure 1(d)).

Tectonic activity has frequently disrupted sedimentation in the Son Valley, and it has persisted to the present day. The Jabera depression has remained tectonically more active than the Damoh depression over time (Baruah & Misra 2013). The Narmada Son North Fault (NSNF), with an ENE-WSW trend, surrounds the southern and south-eastern parts of the BRB. The NSNF is a prominent linear tectonically active feature in central India. It contributes significantly to sediment deposition and the development of folded structures in the Vindhyan formations (Kaila et al. 1989). Several faults divide the Vindhyan basin into small, elongated basins tilted northward (Valdiya 2015). The Vindhyan basin is an extensive regional syncline trending ENE-WSW (Ramasamy & Bakliwal 1988). The Asmara fault, which separates the Bundelkhand granite massif from Bijawar and Vindhyan rocks, encircles the northern portion of the Vindhyan syncline (Krishnamurty & Srivastava 1980). A mosaic of lineaments has been identified in the Deccan volcanic province, which are the expressions of the rejuvenation of Precambrian basement faults (NE–SW); thus, fractures show parallelism with basement trends (Peshwa et al. 1987).

Advanced Spaceborne Thermal Reflection and Emission Radiometer (ASTER) and Landsat (ETM+) data were obtained from Earth Data (www.earthdata.nasa.gov) and Earth Explorer (earthexplorer.usgs.gov). Satellite images were processed in Arc GIS 10.3 software for mosaic, refinement, and extraction of different thematic layers. Further geo-processing of ASTER data with a resolution of 30 m is carried out to calculate morphotectonic parameters by making a digital elevation model (DEM), extracting drainage networks and contours, defining watersheds and sub-basins, and analysing river longitudinal profiles (Figure 2). Landsat 8 and hillshade data were used to extract lineaments. Polar plot software prepares the rose diagram of lineaments, drainages, mountain front sinuosity directions, and magnitude plots. The lithological map is generated from the district resource map (2001) of the Geological Survey of India. Long-term annual rainfall data (for the past 50 years) was collected from the Indian Meteorological Department (IMD) (imdpune.gov.in).
Figure 2

This flow chart shows the detailed process for determining morphotectonic parameters, such as basin (R), bifurcation ratio (Rb), elongation ratio (Re), asymmetric factor (Af), transverse topographic symmetric factor (T), ruggedness number (Rn), hypsometric integral (Hi), sinuosity index (Si), mountain front sinuosity (Smf), stream length-gradient index (SL), valley floor width height ratio (Vf), slope length and steepness factors (LS), and lineament density (LD). The arrows connect each step to the next one.

Figure 2

This flow chart shows the detailed process for determining morphotectonic parameters, such as basin (R), bifurcation ratio (Rb), elongation ratio (Re), asymmetric factor (Af), transverse topographic symmetric factor (T), ruggedness number (Rn), hypsometric integral (Hi), sinuosity index (Si), mountain front sinuosity (Smf), stream length-gradient index (SL), valley floor width height ratio (Vf), slope length and steepness factors (LS), and lineament density (LD). The arrows connect each step to the next one.

Close modal

This study examined the BRB's tectonic imprint using 11 morphotectonic parameters (Table 1), lineament density (LD) and slope length and steepness factor (LS) analysis (Figure 2). Morphotectonic analysis of a drainage network begins with Strahler (1956) hierarchical stream ordering method. The formula for calculation and value ranges with the significance of morphotectonic parameters, LD and LS have been described in Table 1.

Table 1

Morphotectonic parameters, slope length and steepness factor and lineament density with formula and references, value and validity ranges, and respective remarks on their significance in terms of tectonic activity

Morphotectonic parameterFormulationValues/validity rangeRemark
Basin relief (R; Emin = minimum elevation, Emax = maximum elevation (Schumm 1956High values: in hilly terrain, moderate values: in plateau-plain topography, and low value: in the plain areas (Schumm 1956The high R-value reflects the geomorphologically young or uplifted terrains with steeper valley and stream bed slopes, and high erosion, while the low value represents the old geomorphic development stage (Schumm 1956; Ghasemlounia & Utlu 2021
Bifurcation ratio (Rb; Nu = stream number of u order, Nu − 1 = stream number of next higher order (Horton 1945Rb ranges from 2 in flat or gently sloped terrain, 4 or 5 in highly dissected or mountainous topography (Horton 1945Rb is higher in the hard rock basement and tectonically unstable regions (Horton 1945
Elongation ratio (Re; π = 3.14, Lb = Basin length, A, area of the basin (Schumm 1956Re > 0.9 present in a circular basin, 0.9–0.8 oval, 0.8–0.7 less elongated, <0.7 elongated (Chandrakant & Shaikh 2019The elongated basin represents tectonic activity with prominent headward erosion, and the circular basin represents a tectonically inactive and geomorphologically mature basin. 
Hypsometric Integral (Hi) ; Emean, Emin, and Emax represent the mean, minimum, and maximum elevation (Strahler 1952Hi < 0.4 in old geomorphic development stage; mature stage Hi = 0.4 to 0.5; youthful stage- Hi > 0.5 The old landscape reflects low relief, minimum erosion, and tectonically inactive region; moderate relief and erosion characterize the mature landscape; early or youthful landscape reveals the presence of high relief with prominent erosion. The young landscape is also found in rejuvenated or tectonically uplifted terrain (Chen et al. 2003; Prakash et al. 2016b). 
Asymmetry factor (Af;Art = area of the right side of the basin, At0tal = total area of the basin (Hare & Gardner 1985Af = 50 in a symmetrical basin, Af ≠ 50 in the asymmetrical basin (Hare & Gardner 1985The Af values above or below 50 imply lithological control or active tectonic processes, which lead to river migration towards the basin's left or right margin. The symmetrical basin suggests no tectonic activity (Radaideh & Mosar 2019; Bhat et al. 2020). 
Transverse topographic symmetric factor (T;Da = distance from the trunk stream to the midline of its drainage basin, and Dd = distance from the drainage divide to the basin midline (Cox 1994T = 0, symmetrical basin T = 1, asymmetrical basin (Cox 1994The symmetrical basin reflects the tectonic inactivity, while the basin's asymmetry shows the tilting direction, leading to the trunk channel's migration toward the tilting or away from upliftment (Bhat et al. 2020). 
Ruggedness number (Rn; Dd = Drainage density of the basin (Costa 1987Rn < 0.1 value represents the minimal or smooth topography, 0.1–0.4 for mild, 0.4–0.7 for moderate, 0.7–1.0 sharp, and >1.0 high topography (Farhan et al. 2015The high Rn value indicates extensive soil erosion and a structurally complex region with tectonic deformations, while the low value inferred a tectonically stable area with little erosion (Prakash et al. 2016c). 
Sinuosity index (Si;C = channel length; V = straight-line valley length (Gomez & Marron 1991Si ≤ 1 represents straight course; Si = 1.0–1.5, sinuous course; Si > 1.5, meandering path (Muller 1968High Si values indicate inactive terrain, whereas low Si values indicate active mountain fronts (Baruah et al. 2020). 
Mountain front sinuosity (Smf;Lmf = the mountain front length, and Ls is the straight-line length of the same front (Bull & McFadden 1977Smf = 1.0–1.6 for active mountain fronts, 1.8–3.4 = moderately active fronts, 2.0–7.0 = inactive fronts (Bull & McFadden 1977Higher Smf indicates inactive mountain fronts, while lower Smf depicts active mountain fronts (Bhat et al. 2020). 
10 Stream length-gradient Index (SL) ; ΔH = elevation difference of that particular reach, ΔL = length of the segment, L = total length of the channel from the midpoint of that particular segment to the drainage divide from upstream (Hack 1973Streams flowing over active uplifts have a greater SL, whereas a lower SL indicates soft and low-resistance subsurface material (El Hamdouni et al. 2008). An abnormal SL value indicates the presence of a knick point or a break zone along the longitudinal profile of the river. When a knick point lies at the junction of two opposing lithologies, it is lithologically generated. In contrast, when a knick point lies within a particular lithology, it is tectonically generated and controlled (Bhat et al. 2020). 
11 Valley floor width and height ratio (Vf;Vfw = width of valley floor, Eld = elevation of the left side valley divide, Erd = elevation of the right side valley divide, Esc = elevation of river valley floor (Bull & McFadden 1977VF > 1 represents a U-shaped valley with significant lateral erosion; VF < 1, a V-shaped valley with active headward erosion (Bull & McFadden 1977A U-shaped valley is characterized by lateral erosion, whereas a V-shaped valley is characterized by active headward erosion. In tectonically uplifted regions with prominent erosional slopes, there is also active headward erosion, resulting in incised V-shaped valleys (Bull & McFadden 1977). 
12 Lineament density (LD) Number of lineament per unit area High lineament density reveals high tectonic deformation (Nur 1982; Prakash et al. 2016cLineament density reveals the intensity of deformation (Singh et al. 2021
13 Slope length and slope steepness factor (LS) ;; FA is flow accumulation and CS is the cell size, ; L is slope length factor, θ is slope in degree (Moore et al. 1991A high LS value is present in the active basin, while a low LS value is present in an inactive basin (Ganasri & Ramesh 2016The LS has a significant impact on erosion, which indicates how erosion is dynamically affected by the basin's activities (Gansri & Ramesh 2016). With an increase in slope length, soil loss per unit area also increases. On steeper slopes, erosion is more severe (Getu et al. 2022). 
Morphotectonic parameterFormulationValues/validity rangeRemark
Basin relief (R; Emin = minimum elevation, Emax = maximum elevation (Schumm 1956High values: in hilly terrain, moderate values: in plateau-plain topography, and low value: in the plain areas (Schumm 1956The high R-value reflects the geomorphologically young or uplifted terrains with steeper valley and stream bed slopes, and high erosion, while the low value represents the old geomorphic development stage (Schumm 1956; Ghasemlounia & Utlu 2021
Bifurcation ratio (Rb; Nu = stream number of u order, Nu − 1 = stream number of next higher order (Horton 1945Rb ranges from 2 in flat or gently sloped terrain, 4 or 5 in highly dissected or mountainous topography (Horton 1945Rb is higher in the hard rock basement and tectonically unstable regions (Horton 1945
Elongation ratio (Re; π = 3.14, Lb = Basin length, A, area of the basin (Schumm 1956Re > 0.9 present in a circular basin, 0.9–0.8 oval, 0.8–0.7 less elongated, <0.7 elongated (Chandrakant & Shaikh 2019The elongated basin represents tectonic activity with prominent headward erosion, and the circular basin represents a tectonically inactive and geomorphologically mature basin. 
Hypsometric Integral (Hi) ; Emean, Emin, and Emax represent the mean, minimum, and maximum elevation (Strahler 1952Hi < 0.4 in old geomorphic development stage; mature stage Hi = 0.4 to 0.5; youthful stage- Hi > 0.5 The old landscape reflects low relief, minimum erosion, and tectonically inactive region; moderate relief and erosion characterize the mature landscape; early or youthful landscape reveals the presence of high relief with prominent erosion. The young landscape is also found in rejuvenated or tectonically uplifted terrain (Chen et al. 2003; Prakash et al. 2016b). 
Asymmetry factor (Af;Art = area of the right side of the basin, At0tal = total area of the basin (Hare & Gardner 1985Af = 50 in a symmetrical basin, Af ≠ 50 in the asymmetrical basin (Hare & Gardner 1985The Af values above or below 50 imply lithological control or active tectonic processes, which lead to river migration towards the basin's left or right margin. The symmetrical basin suggests no tectonic activity (Radaideh & Mosar 2019; Bhat et al. 2020). 
Transverse topographic symmetric factor (T;Da = distance from the trunk stream to the midline of its drainage basin, and Dd = distance from the drainage divide to the basin midline (Cox 1994T = 0, symmetrical basin T = 1, asymmetrical basin (Cox 1994The symmetrical basin reflects the tectonic inactivity, while the basin's asymmetry shows the tilting direction, leading to the trunk channel's migration toward the tilting or away from upliftment (Bhat et al. 2020). 
Ruggedness number (Rn; Dd = Drainage density of the basin (Costa 1987Rn < 0.1 value represents the minimal or smooth topography, 0.1–0.4 for mild, 0.4–0.7 for moderate, 0.7–1.0 sharp, and >1.0 high topography (Farhan et al. 2015The high Rn value indicates extensive soil erosion and a structurally complex region with tectonic deformations, while the low value inferred a tectonically stable area with little erosion (Prakash et al. 2016c). 
Sinuosity index (Si;C = channel length; V = straight-line valley length (Gomez & Marron 1991Si ≤ 1 represents straight course; Si = 1.0–1.5, sinuous course; Si > 1.5, meandering path (Muller 1968High Si values indicate inactive terrain, whereas low Si values indicate active mountain fronts (Baruah et al. 2020). 
Mountain front sinuosity (Smf;Lmf = the mountain front length, and Ls is the straight-line length of the same front (Bull & McFadden 1977Smf = 1.0–1.6 for active mountain fronts, 1.8–3.4 = moderately active fronts, 2.0–7.0 = inactive fronts (Bull & McFadden 1977Higher Smf indicates inactive mountain fronts, while lower Smf depicts active mountain fronts (Bhat et al. 2020). 
10 Stream length-gradient Index (SL) ; ΔH = elevation difference of that particular reach, ΔL = length of the segment, L = total length of the channel from the midpoint of that particular segment to the drainage divide from upstream (Hack 1973Streams flowing over active uplifts have a greater SL, whereas a lower SL indicates soft and low-resistance subsurface material (El Hamdouni et al. 2008). An abnormal SL value indicates the presence of a knick point or a break zone along the longitudinal profile of the river. When a knick point lies at the junction of two opposing lithologies, it is lithologically generated. In contrast, when a knick point lies within a particular lithology, it is tectonically generated and controlled (Bhat et al. 2020). 
11 Valley floor width and height ratio (Vf;Vfw = width of valley floor, Eld = elevation of the left side valley divide, Erd = elevation of the right side valley divide, Esc = elevation of river valley floor (Bull & McFadden 1977VF > 1 represents a U-shaped valley with significant lateral erosion; VF < 1, a V-shaped valley with active headward erosion (Bull & McFadden 1977A U-shaped valley is characterized by lateral erosion, whereas a V-shaped valley is characterized by active headward erosion. In tectonically uplifted regions with prominent erosional slopes, there is also active headward erosion, resulting in incised V-shaped valleys (Bull & McFadden 1977). 
12 Lineament density (LD) Number of lineament per unit area High lineament density reveals high tectonic deformation (Nur 1982; Prakash et al. 2016cLineament density reveals the intensity of deformation (Singh et al. 2021
13 Slope length and slope steepness factor (LS) ;; FA is flow accumulation and CS is the cell size, ; L is slope length factor, θ is slope in degree (Moore et al. 1991A high LS value is present in the active basin, while a low LS value is present in an inactive basin (Ganasri & Ramesh 2016The LS has a significant impact on erosion, which indicates how erosion is dynamically affected by the basin's activities (Gansri & Ramesh 2016). With an increase in slope length, soil loss per unit area also increases. On steeper slopes, erosion is more severe (Getu et al. 2022). 

Tectonic activity categorization through AHP

Relative tectonic activity may be assessed using an array of geomorphic indicators. Active tectonic indicators may identify irregularities or anomalies in the river system. Local tectonic activity resulting from subsidence or uplift may have caused these anomalies. However, it is challenging to determine the rates of active tectonics or to find out the specific area for quantitative investigations to determine the relative rates of tectonic deformations (El Hamdouni et al. 2008). Few researchers have attempted to extract the relative tectonic activity by combining two to three morphotectonic indicators to give semi-quantitative data on the relative tectonic activity. Bull & McFadden (1977), Silva et al. (2003), and El Hamdouni et al. (2008) have attempted a semi-quantitative sub-basins categorization into different classes according to some morphotectonic parameters (mountain front activity and valley floor width and height ratio) to extract the relative tectonic activity. Das (2021) performed the bivariate inter-correlation matrix analysis to determine the relationship among the morphometric variables in Peninsular India.

Our approach here is to assess a spatial index of relative tectonic activity by incorporating the morphotectonic parameters, LD, and LS factors. We apply the AHP method to weigh each factor in accordance with its importance. The AHP is a multiple-criteria decision-making technique established by Saaty (1987). The AHP approach examines hierarchical problems by comparing several decision-making factors and creating a pair-wise comparison matrix (PCM). Each component is weighted based on its importance. Before determining the weights and rankings for each parameter, the multiple datasets generated have been analysed through the variance analysis method in SPSS software for collinearity checking to determine the range of tolerance, variance of inflation factor, condition index, and eigen value. The deterministic approach developed by Saaty (1987) is applied to check the consistency of PCM. We have taken 11 morphotectonic parameters, LD and LS factors, for evaluation.
(1)

All 13 × 13 matrix values are significant at the 0.029 consistency level. The weightage of each parameter is based on experts' judgments, according to the nature of the selected landscape and conclusions made from various previous literatures. In the present study, the SL index is considered the most important factor, while the Vf is the least important factor. The SL index analyses the slope break in the longitudinal profile and thus helps to examine the cause of the slope break (tectonic or lithological). The majority of drainage valleys are broad and confined in nature, so Vf does not provide as many significant results to demarcate the tectonic activity spatially as the rest of the parameters. The inter-correlation matrix shows the analytical hierarchical correlation among the 13 thematic layers (Table 2). The weighted sum functions of the spatial analyst tool were used to construct the tectonic activity map from the normalized vector of inter-correlation values for each parameter. Interpolation, multiple value extraction, correlation, and integration of all 13 thematic layers generated a tectonic activity map. The detailed version of the table 2 is provided as supplementary material.

Table 2

Inter-correlation matrix among the morphotectonic parameters, lineament density (LD) and slope length and steepness factor (LS) for tectonic activity in the BRB

 
 

AUC/ROC-based model cross-validation

For model cross-validation, this research investigates the area under the ROC curve (AUC) as a performance evaluation of the proposed model through an algorithm of machine learning. The ROC (receiver operating characteristic) is a graphical representation of the diagnostic accuracy of binary classifiers (Bradley 1997). The ROC curves show the true-positive rate (TPR) versus the false-positive rate (FPR). The TPR is the proportion of correctly predicted positive observations out of all positive observations. Similarly, FPR is the proportion of all negative observations that are incorrectly predicted to be positive (Jaskowiak et al. 2022). The ROC curve and AUC have been prepared in Arc SDM extension tool of Arc GIS. The calculation is based on the concept that the AUC/ROC matrices are counts of the correct and incorrect classifications from each class that a classification technique has produced during testing by comparing each value to others (Table 3). The AUC/ROC matrix is a correlation table that displays the variations in true and predicted classes for an array of annotated tests. The AUC/ROC matrix displays every possible statistic on the performance of the classifier or model. The AUC is calculated using trapezoidal integration when the decision threshold has been varied, and several points on the ROC curve have been acquired (Bradley 1997) (Table 3).

Table 3

AUC/ROC performance matrices and formulas for model validation

Performance matrices and formulas
Predicted class
True classNegativePositiveOutcomeReference
    Bradley (1997), Jaskowiak et al. (2020)  
Negative True negative (T−veFalse positive (F+veTrue negative classes (TN
Positive False negative (F−veTrue positive (T+veTrue positive classes (TP
 
 
 
 
 
Performance matrices and formulas
Predicted class
True classNegativePositiveOutcomeReference
    Bradley (1997), Jaskowiak et al. (2020)  
Negative True negative (T−veFalse positive (F+veTrue negative classes (TN
Positive False negative (F−veTrue positive (T+veTrue positive classes (TP
 
 
 
 
 

In general, the higher the AUC value, the better the model performance under assessment; values of AUC around 0.5 suggest the predicted performance of the model is moderate, while values below 0.5 indicate a worse model performance than expected (Jaskowiak et al. 2020).

The BRB comprises nine sub-basins (SB): Pathri, Sun, Bhadar, Jharauli, Guraiya, Basa, Bamner, Parewa, Karaundi, and Bearma (Figure 3(a)). The lowest elevation is 277 m above mean sea level (AMSL) at the mouth, while the highest is almost 749 m AMSL (Figure 3(b)). The moderate drainage density of the BRB reflects the impervious nature of the basement (Figure 3(c)). Bearma upstream receives the highest rainfall, while the north-eastern region of the basin gets the least precipitation (Figure 3(d)). The several morphotectonic parameters calculated in the BRB are shown in Table 4.
Table 4

Morphotectonic parameters outcomes, including relief of the basin (R), bifurcation ratio (Rb), elongation ratio (Re), asymmetric factor (Af), transverse topographic symmetric factor (T), ruggedness number (Rn), hypsometric integral (Hi), sinuosity index (Si), mountain front sinuosity (Smf), stream length-gradient index (SL), valley floor width height ratio (Vf), slope length and steepness factors (LS), and lineament density (LD) of Bearma Basin and its sub-basins (SB), with specific comments concerning their outcome are presented

ParameterPathri SBSun SBBhadar SBJharauli SBGuraiya SBBasa SBBamner SBParewa SBKaraundi SBBearma SBBearma BasinRemarks
50.33 232.1 261.08 169.58 150.06 201.3 181.48 89.06 54.9 212.8 285.75 Uplifted terrain with low to moderate relief 
Rb 4.26 4.90 4.38 4.28 4.52 4.31 4.12 3.90 3.89 5.35 4.39 Dissected topography with hard rock and tectonically deformed terrain 
Re 0.8 0.68 0.88 0.95 0.83 0.88 0.63 0.81 0.78 0.37 0.59 Elongated basin represents tectonic activity with prominent erosion 
Hi 0.56 0.64 0.59 0.76 0.61 0.47 0.39 0.52 0.45 0.38 0.50 Early mature to mature geomorphic development stage 
Af 69 81 27 77 27 60 49 73 31 49 63 Asymmetrical basin exhibits variable tilting 
0.39 0.54 0.49 0.56 0.54 0.30 0.20 0.16 0.40 0.32 0.39 Asymmetrical basin with channel migration or tilting of the basin toward SW 
Rn 0.26 0.65 0.82 0.72 0.68 0.57 0.41 0.29 0.14 0.46 0.63 Sharp to minimal topography throughout the Bearma basin 
Si 1.32 1.28 1.27 1.18 1.21 1.38 1.5 1.3 1.32 1.31 1.24 Straight to Sinuous course of drainages throughout the basin 
Smf 1.81 1.56 1.51 1.42 1.60 1.63 2.00 2.40 3.29 2.35 1.96 Moderately active mountain front 
SL 151.73 140.55 191.92 136.9 145.78 110.48 175.16 64.43 27.88 29.98 135.03 Values vary throughout the basin 
Vf 7.84 0.85 0.62 0.21 1.86 18.05 7.04 16.73 5.9 15.69 11.57 U to V-shaped valleys are present 
LD 0.41 7.24 2.25 1.45 1.31 1.88 1.54 1.16 0.40 0.66 1.32 Variable deformations throughout the basin 
LS 686.38 688.39 1,333.38 393.07 411.93 568.31 607.07 295.46 392.60 749.13 612.57 Variable rate of incision and tectonic deformations 
ParameterPathri SBSun SBBhadar SBJharauli SBGuraiya SBBasa SBBamner SBParewa SBKaraundi SBBearma SBBearma BasinRemarks
50.33 232.1 261.08 169.58 150.06 201.3 181.48 89.06 54.9 212.8 285.75 Uplifted terrain with low to moderate relief 
Rb 4.26 4.90 4.38 4.28 4.52 4.31 4.12 3.90 3.89 5.35 4.39 Dissected topography with hard rock and tectonically deformed terrain 
Re 0.8 0.68 0.88 0.95 0.83 0.88 0.63 0.81 0.78 0.37 0.59 Elongated basin represents tectonic activity with prominent erosion 
Hi 0.56 0.64 0.59 0.76 0.61 0.47 0.39 0.52 0.45 0.38 0.50 Early mature to mature geomorphic development stage 
Af 69 81 27 77 27 60 49 73 31 49 63 Asymmetrical basin exhibits variable tilting 
0.39 0.54 0.49 0.56 0.54 0.30 0.20 0.16 0.40 0.32 0.39 Asymmetrical basin with channel migration or tilting of the basin toward SW 
Rn 0.26 0.65 0.82 0.72 0.68 0.57 0.41 0.29 0.14 0.46 0.63 Sharp to minimal topography throughout the Bearma basin 
Si 1.32 1.28 1.27 1.18 1.21 1.38 1.5 1.3 1.32 1.31 1.24 Straight to Sinuous course of drainages throughout the basin 
Smf 1.81 1.56 1.51 1.42 1.60 1.63 2.00 2.40 3.29 2.35 1.96 Moderately active mountain front 
SL 151.73 140.55 191.92 136.9 145.78 110.48 175.16 64.43 27.88 29.98 135.03 Values vary throughout the basin 
Vf 7.84 0.85 0.62 0.21 1.86 18.05 7.04 16.73 5.9 15.69 11.57 U to V-shaped valleys are present 
LD 0.41 7.24 2.25 1.45 1.31 1.88 1.54 1.16 0.40 0.66 1.32 Variable deformations throughout the basin 
LS 686.38 688.39 1,333.38 393.07 411.93 568.31 607.07 295.46 392.60 749.13 612.57 Variable rate of incision and tectonic deformations 
Figure 3

(a) The drainage order map shows 10 sub-basins in the BRB; (b) elevation model; (c) drainage density map; (d) long-term average annual rainfall map (1970–2020) of the BRB (Source: IMD).

Figure 3

(a) The drainage order map shows 10 sub-basins in the BRB; (b) elevation model; (c) drainage density map; (d) long-term average annual rainfall map (1970–2020) of the BRB (Source: IMD).

Close modal

Basin relief (R)

The BRB has an undulating plateau-plain shape with a moderately high relief, signifying substantial erosion (Table 4). The high relief of Sun, Bhadar, Jharauli, Guraiya, Bamner, Pathri, Basa, and Bearma sub-basins (SB) represents uplifted terrain with active erosion. Parewa and Karaundi have low relief and comparatively more mature landscapes. Higher relief produces steeper slopes in the valleys and along stream beds, shorter periods of flow accumulation, higher flood peaks, and increased erosion on slopes and valley beds.

Bifurcation ratio (Rb)

The fifth-order stream displays the highest Rb implying greater overland flow and discharge owing to an impervious rock formation associated with a steep slope. High Rb (4.39) of the BRB reflects the dissected topography. Karaundi and Parewa SB have a lower Rb, while Jharauli, Guraiya, Bhadar, Sun, and Bearma SB display a high Rb.

Elongation ratio (Re)

The low Re identified an elongated shape of the BRB, Bearma, Bamner, and Sun SB, suggesting deformational control. Jharauli SB is circular, while Bhadar, Guraiya, Basa, and Parewa are nearly circular, and Pathri and Karaundi are nearly elongated. The BRB elongated along the NE–SW direction; however, at sub-basin level, the elongation direction is variable. In Pathri, Sun, Bhadar, Guraiya, Jharauli, and Bearma, the main channel does not follow the regional slope, causing basin extension in the NW–SE direction. Elongation occurs in the NE–SW and NW–SE directions in Sun and Bhadar, representing two major deformational directions.

Hypsometric curve and hypsometric integral (Hi)

The Hi (0.5) of the BRB represents the mature landscape. High Hi towards the drainage divide and the SE portion of the BRB depict that the uplands have not been substantially eroded. Jharauli, Guraiya, Bhadar, Pathri, and Sun show high Hi values, while the remaining sub-basins show more maturity with low Hi. The convex Hc of sub-basins represent the late youth to early mature landscape developmental stage associated with neotectonic rejuvenation. Hillslope processes dominate the southern and south-eastern sub-basins, creating convex Hc. Bearma, Bamner, and Karaundi display comparatively concave Hc, while Sun, Jharauli, Guraiya, Bhadar, Basa, and Pathri exhibit convex upward Hc (Figure 4).
Figure 4

The hypsometric curve, represented by a blue line, displays the hypsometric integral (Hi) value for the Bearma basin and its sub-basins. The relative height is calculated by dividing the height of the contour (h) by the highest elevation in the basin (H). Similarly, the relative area is calculated by dividing the area of the basin above the contour with height h (a) by the total area of the basin (A). Please refer to the online version of this paper to see this figure in colour: http://dx.doi.org/10.2166/hydro.2023.055.

Figure 4

The hypsometric curve, represented by a blue line, displays the hypsometric integral (Hi) value for the Bearma basin and its sub-basins. The relative height is calculated by dividing the height of the contour (h) by the highest elevation in the basin (H). Similarly, the relative area is calculated by dividing the area of the basin above the contour with height h (a) by the total area of the basin (A). Please refer to the online version of this paper to see this figure in colour: http://dx.doi.org/10.2166/hydro.2023.055.

Close modal

Asymmetric factor (Af)

The Af (63) of the Bearma basin reflects the tectonic influence that causes upliftment of the eastern and south-eastern regions, leading to continuous channel shifting to the left (Figure 5). The Karaundi, Bhadar, Guraiya, Bamner, and Bearma SB's drainages are migrating rightward, while the Pathri, Sun, Jharauli, Parewa, and Basa show leftward shifting. The higher drainage density and higher number of tributaries joining the trunk stream from the right divide also reflect the upliftment of the right portion of the basin.
Figure 5

Asymmetric factor (Af) and transverse topographic symmetry (T) map; Art is the area of the right side of the basin from the main channel (orange), and Alft is the area of the left side of the basin from the main channel (green); black and red arrows show the tilting direction along the trunk stream and major tributaries of the BRB.; Polar plots show the T-vector (black dot), mean vector orientation (red star), and magnitude; T value is zero at the centre and one at the margin. Please refer to the online version of this paper to see this figure in colour: http://dx.doi.org/10.2166/hydro.2023.055.

Figure 5

Asymmetric factor (Af) and transverse topographic symmetry (T) map; Art is the area of the right side of the basin from the main channel (orange), and Alft is the area of the left side of the basin from the main channel (green); black and red arrows show the tilting direction along the trunk stream and major tributaries of the BRB.; Polar plots show the T-vector (black dot), mean vector orientation (red star), and magnitude; T value is zero at the centre and one at the margin. Please refer to the online version of this paper to see this figure in colour: http://dx.doi.org/10.2166/hydro.2023.055.

Close modal

Transverse topographic symmetric factor (T)

The T values of the BRB and its sub-basins show the asymmetrical basin. Overall dynamics show streams in the lower BRB are shifting towards the SW direction, while streams in the upper BRB undergo lateral shifting towards the NW. Guraiya, Jharauli, Sun, and Bhadar exhibit higher T values, while Parewa, Bamner, Basa, and Bearma SB exhibit lower values. Polar plots show T-vector directions and magnitudes along trunk streams and sixth-order tributaries (Figure 5). Transverse asymmetry, vector direction, and magnitude analysis along different segments indicate Bearma's south-westward tilting. However, the trunk channel exhibits a lateral tilt towards the northwest. Pathri, Jharauli, Sun, Bhadar, and Karaundi have an average southward lateral tilt. Bearma and Bamner have northwest lateral tilts, and Parewa has northeast tilting. Bhadar channel tilts north-westerly upstream and south-westerly downstream.

Ruggedness number (Rn)

The Rn (0.63) of the BRB basin displays a moderately rugged topography. The structurally complex and steep terrain of the Bhadar, Sun, Jharuali, Bamner, Guraiya, and Bearma exhibit high Rn. Rigorous fluvial erosion characterizes these sub-basins, creating incised valleys. Karaundi, Pathri, and Parewa display low Rn due to a low gradient and mild morphology. The Rn indicates a sharp morphology in the southern and south-eastern regions of the BRB, indicating the reactivation of structural elements.

Sinuosity index (Si)

As a result of the moderate Si value (1.24), it was inferred that the drainages followed a sinuous route within the BRB basin. The Si of sub-basins shows sinuous stream paths except for the Bamner (meandering course). Streams flowing through the southern and south-eastern active mountain fronts develop a straight course with low Si, while downstream, they develop a more sinuous path and become meandering near the confluence. Streams near the active mountain front in the south and south-eastern regions flow straight and have a low Si value, while downward streams flow more sinuously and become meandering near the confluence.

Mountain front sinuosity (Smf)

The Smf (1.96) of the BRB reveals the moderately active mountain fronts positioned between several topographic lows. The Smf of the BRB indicates that active tectonics and fluvial erosion are simultaneously modifying the basin. Sub-basins in the south-eastern portion of the BRB, such as Sun, Bhadar, Guraiya, and Jharauli, show lower Smf, reflecting tectonically active mountain fronts. The moderate Smf of Bamner, Pathri, Basa, and Bearma SB indicates a moderately active mountain front, while Parewa and Karaundi, with higher Smf, indicate a tectonically inactive mountain front.

Stream length-gradient index

In the BRB basin, the SL value is high (135.03), which indicates both lithological and tectonic controls on the basin. The Pathri, Sun, Bhadar, Guraiya, and Jharauli exhibit several SL anomalies. In contrast, the western and north-western parts of the basin show low SL due to inadequate relief. Some SL anomalies in Pathri are generated due to lithological variation. The SL anomalies within uniform lithology can be interpreted as tectonically induced. Variable SL throughout the basin and several anomalies reflect the upliftment in different segments of the BRB. This may induce landscape erosion, increase discharge rates, and alter sediment particle size downstream. In the graphical representation (Figure 6), a knick point can be confirmed at the intersection of the SL curve and longitudinal profile in Bamner, Bhadar, and Sun SB. In Guraiya, Jharauli, Basa, Bearma, and Pathri SB, SL curves approach the longitudinal profile, indicating steep gradients or smaller knick points.
Figure 6

Longitudinal profile (blue) and SL curve (red) of sub-basins of the BRB. Please refer to the online version of this paper to see this figure in colour: http://dx.doi.org/10.2166/hydro.2023.055.

Figure 6

Longitudinal profile (blue) and SL curve (red) of sub-basins of the BRB. Please refer to the online version of this paper to see this figure in colour: http://dx.doi.org/10.2166/hydro.2023.055.

Close modal
The SL anomalies show a sudden drop in the longitudinal profile of the river, either tectonically generated or lithologically (Figure 7(a)). In a bedrock river like Bearma, the channel shape reflects interactions between erosive processes and the constraining substrate's resistance and upliftment. A 193 m wide U-shaped terrace-confined river valley with an almost 12 m high valley margin and three generations of river terraces is present near the Bearma confluence with Ken (Figure 7(b) and 7(c)). Apart from the current water flow level (T0), other river terraces (T1 and T2) represent past channel flow levels (Figure 7(d)). Older river terraces represent the upliftment or incision in the valley. At Jabera in Damoh district, a 40 m high Janki Kund waterfall and an escarpment (122 m high) along the river are present within Bhander Sandstone (Figure 7(e)). This waterfall and escarpment are characterized by an SL anomaly that developed due to deformational activity in the active Jabera depression. In Figure 7(f), the Guraiya River develops a long, straight channel, and the bedrock-confined valley indicates the presence of a prominent fracture or deformation zone, along which the river flows in a straight course. Bhander Sandstone and Shale in Figure 7 control the river flow and confine the valley. In bedrock-confined valleys, stream erosion is intense and influenced by deformational structure.
Figure 7

(a) SL index map showing the anomalies with red colour; (b) confluence of Bearma with the Ken River; (c) terrace-confined channel margin near the confluence; (d) river channel section at Patera, Damoh district; (e) scarp in tectonically active Jabera depression controls the flow of Bhadar river near Janki Kund waterfall; (f) straight channel (almost 2 km long) of Guraiya river; (g) confined river channel bounded by 5 m high Bhander Sandstone and Shale scarp.

Figure 7

(a) SL index map showing the anomalies with red colour; (b) confluence of Bearma with the Ken River; (c) terrace-confined channel margin near the confluence; (d) river channel section at Patera, Damoh district; (e) scarp in tectonically active Jabera depression controls the flow of Bhadar river near Janki Kund waterfall; (f) straight channel (almost 2 km long) of Guraiya river; (g) confined river channel bounded by 5 m high Bhander Sandstone and Shale scarp.

Close modal

Valley floor width and height ratio (Vf)

According to the BRB's Vf value (11.57), the valleys generally appear to be U-shaped. The V-shaped transverse valley profile with the lower Vf of Bhadar, Sun, and Jharauli displays active headward erosion. In contrast, Pathri, Basa, Bearma, Bamner, Parewa, and Karaundi SB have U-shaped valleys with more lateral erosion. Lower Vf in the BRB near moderately active to active mountain fronts corresponds to V-shaped valleys with active incisions. Higher Vf is linked with gentle gradients and moderately to less active portions of the basin. Bearma is a bedrock river with a terrace-confined valley in incised and degraded landscapes with long-term sediment sources or transfer zones. Structural and lithological controls are pervasive and generate valley confinement.

Lineament analysis

The BRB's LD (1.32 km/km2) reflects the moderate LD, which reveals the moderate intensity of tectonic deformations. In the sub-basin, LD varies from low to high. The southern and south-eastern portions of the BRB exhibit high LD and thus show more tectonic deformational effects. The rose diagrams show lineaments and drainage orientations (Figure 8). Two main lineament trends, NW–SE (most prevalent) and NE–SW, are observed in the BRB, with numerous N–S and E–W trends. In the southern part of the Gangetic plains, the trunk streams generally flow in a NE–SW direction. In contrast, tributaries have variable flow directions in the BRB. Sun, Bhadar, Pathri, Jharauli, and Beamra follow opposing trends in the trunk stream. In Sun and Bhadar, upstream and downstream channels flow in opposite directions and bend sharply in a northwest-southeast direction in the middle. Several small waterfalls are present in the Bhadar sub-basin, such as Janki Kund, Richhkudi, Aloni, Jharoli, Amdar-Govindpura, and Madwa Falls. Lineaments govern the stream profile at the intersection with nick points. As streams follow the lineaments trend, the variable flow direction of streams throughout the basin reflects geological variability and structural disturbances.
Figure 8

Lineament density (km−1) map and rose diagrams showing orientations of lineaments (red) and drainages (blue) of the BRB and its sub-basins. Please refer to the online version of this paper to see this figure in colour: http://dx.doi.org/10.2166/hydro.2023.055.

Figure 8

Lineament density (km−1) map and rose diagrams showing orientations of lineaments (red) and drainages (blue) of the BRB and its sub-basins. Please refer to the online version of this paper to see this figure in colour: http://dx.doi.org/10.2166/hydro.2023.055.

Close modal

Slope length and steepness factor

The BRB's average LS value (612.57) displays moderate tectonic deformations owing to the moderate incision. Low-lying northern basins display a higher L factor owing to higher flow accumulation. The slope factor was greater in the south-eastern and southern sub-basins with a higher slope gradient. The north-eastern region has a larger LS factor, indicating high erosion through lithological heterogeneity, which generates varied ground resistance. Higher LS factor values are present in the southern and south-eastern regions occupied by Sun, Bhadar, Jharauli, and Guraiya, indicating rigorous erosion in the tectonically uplifted terrain (Figure 9(a)).
Figure 9

(a) Slope length and gradient index (SL) map, (b) tectonic activity map of Bearma basin, (c) area under ROC curve (AUC) for cross-validation of tectonic activity model.

Figure 9

(a) Slope length and gradient index (SL) map, (b) tectonic activity map of Bearma basin, (c) area under ROC curve (AUC) for cross-validation of tectonic activity model.

Close modal

Tectonic activity categorization

The relative tectonic activity map of the BRB has five tectonic activity classes, from very low to very high (Figure 9(b)). In the BRB, 17.74, 38.22, 20, 13.11, and 10.93% areas have very low, low, moderate, high, and very high tectonic activity. Tectonic activity analysis indicates that the northern and north-western parts of the basin are non-active. The moderate to high tectonic activity present in the southern and southern-eastern parts of the Bearma basin is due to the effect of the NSNF activity. Major deformation occurs either parallel to or perpendicular to the fault.

Model cross-validation

The ROC- and AUC-based validation for the tectonic activity model of the Bearma basin represents the high accuracy of the model. The AUC greater than 0.8 shows a good performance of the presented model (Figure 9(c)).

Climate and sedimentation characteristics of the BRB

The BRB lies in a subtropical region with a semiarid climate characterized by high temperatures and low rainfall throughout the year. Drought is a concerning issue in the region. The Bearma basin is located within the Vindhyan plateau and ranges, with mountain heights ranging from 400 to 752 m AMSL on the southern edge of the basin. The moisture-laden SW monsoon winds (Arabian Sea branch) are orographically affected by the high Vindhyan hills. This creates heavy precipitation on mountain ranges' windward slopes and slightly diverts monsoonal winds. High mountain ranges create a rainfall shadow zone on their leeward side as orographic barriers. Monsoonal cloud moisture and precipitation diminish as they move towards the north. Discontinuous mountain ranges cannot provide a significant rainfall shadow zone. Thus, lithology and tectonic deformations have more control over drainage patterns than climate. Climate and tectonics can act together to regulate the sedimentation nature of the BRB.

The field investigation revealed several geomorphic and structural features that suggest the dynamics of the basin, including a steeply incised V-shaped valley, fault generated knick points, inclined and folded rocks, braided bar deposits, and fluvial terraces. Asymmetrical river terraces of three generations (T0, T1, and T2) characterize the general geomorphological peculiarities of the BRB. The T0 represents the current river flow level, while T2 represents the oldest sedimentation or flow level (Figure 10(a) and 10(b)). The river's course continuously shifts from T2 to T0 following a long period of erosion and depositional processes. Figure 10(c) and 10(d) shows a cross-section above the T0 surface. It depicts three different gravelly channel deposits, marked and separated by black dotted lines. The mid-channel bar can be identified, showing planar cross-bed forests (Figure 10(c)).
Figure 10

General geomorphological characters of the BRB, (a,b) river terraces of three generations (T2, T1 and T0) form the confined valley, (c,d) a cross-section shows the current gravelly depositional nature of the river.

Figure 10

General geomorphological characters of the BRB, (a,b) river terraces of three generations (T2, T1 and T0) form the confined valley, (c,d) a cross-section shows the current gravelly depositional nature of the river.

Close modal

Several cross-sections of the Bearma River show three different gravelly channel deposits separated by an erosional contact with angular to sub-rounded clasts and a large amount of matrix. This suggests that the sediment was laid down during a high-energy period. Gravel concentration varies from bottom to top in response to climatic and tectonic changes in the source area over time. High water budgets result from intense climate and tectonic activity, enhancing the river's erosional and transportation capabilities.

The morphotectonic parameters and field data show that the Bearma basin exhibits tectonic control over drainage networks and sedimentation processes in some parts. For drought mitigation strategies, dams and reservoirs are an invaluable component. The stability of the ground is vital for future settlements and town planning, including the construction of roads, buildings, dams, and reservoirs. The Bearma basin falls within the drought-prone Bundelkhand region, which has suffered from several droughts in the past. Deformational structures (foliation, lineation, faults, and joints) form secondary porosity in hard lithological terranes, which create excellent aquifers in some places. In the BRB, the present study can assist the groundwater survey by locating secondary porosity. Similarly, the surrounding area may be investigated to gain a better understanding of the dynamics of the northern peninsula.

Morphotectonic analysis reveals that the BRB has experienced neotectonic activity. The BRB has high relief, high erosion, and deeply incised streams. The southern and south-eastern regions display more activity. The high ruggedness number, low bifurcation ratio, and high stream length-gradient index of Bhadar, Bamner, Jharauli, Guraiya, and Bearma SB indicate the high gradient and erosive nature of the streams. Diverse lithological variations also affect the morphotectonic characteristics of some parts of the basins.

Lineament study of the BRB indicates that the southern and south-eastern portions are more deformed. Due to the tectonic exhumation of the Vindhyan, Deccan trap basement, and Son-Narmada North Fault, there is a significant degree of deformation in the BRB in the NE–SW and NW–SE directions.

Based on the topographic analysis, it is evident that the highly active sub-basins are subject to rigorous erosion. It is estimated that approximately 24.04% of the BRB is experiencing high to very high levels of tectonic activity.

Morphotectonic study, comparative tectonic activity analysis, and lineament analysis analyse the slope failures for future disaster management planning. By locating secondary porosity in the Bearma basin, the present work significantly contributes to the groundwater survey in the drought-prone Bundelkhand region. Bearma Basin's tectonic activity analysis could potentially be used in future infrastructure development programs in a sustainable way in drought-stricken areas. Similar research may use the expert knowledge-based AHP method with adequate performance assessment of the proposed model.

The authors would like to extend their gratitude to the Head of the Department of Geology and IOE Grant (CBP No. 0257) of Banaras Hindu University for providing them with the necessary facilities and workspace. K Prakash expresses appreciation for the financial assistance received through the SERB Grant (No. EEQ 2017 000703). P Singh is thankful to the University Grants Commission for providing financial support in the form of the UGC-SRF fellowship (no. 453) (CSIR-UGC NET DEC. 2016).

All relevant data are available from an online repository or repositories (Advanced Spaceborne Thermal Reflection and Emission Radiometer (ASTER): www.earthdata.nasa.gov); (Landsat (ETM+) data: earthexplorer.usgs.gov); (Lithological data: Bhukosh.gov.gsi.in); (Meteorological data: imdpune.gov.in).

The authors declare there is no conflict.

Baruah
M. K.
&
Misra
A.
2013
Tectonic analysis of Damoh and Jabera structures in Son Valley Vindhyans: a structural modeling approach
. In:
10th Biennial International Conference & Exposition, Himalayan Foothills Block, Frontier Basin
.
ONGC
,
Dehradun, Uttarakhand
,
India
.
Baruah
M. P.
,
Bezbaruah
D.
&
Goswami
T. K.
2020
Active tectonics deduced from geomorphic indices and its implication on economic development of water resources in south-eastern part of Mikir Massif, Assam, India
.
Geology Ecology and Landscape
1
14
.
doi: 10.1080/24749508.2020.1754705
.
Bhat
M. A.
,
Dar
T.
&
Bali
B. S.
2020
Morphotectonic analysis of Aripal Basin in the North-Western Himalayas (India): an evaluation of tectonics derived from geomorphic indices
.
Quaternary International
1
13
.
doi:10.1016/j.quaint.2020.10.032
.
Bhatt
S. C.
,
Singh
R.
,
Singh
R.
,
Saif
M.
&
Singh
M. M.
2021
A GIS-based approach for morphometric analysis of Jamini Basin and its subwatersheds: implication for conservation of soil and water resources
.
Geological and Geo-Environmental Processes on Earth
96
,
513
520
.
doi:10.1007/978-981-16-4122-0_16
.
Blanc
P. A.
,
Tejada
F.
,
Perucca
L. P.
,
Karen
E.
,
Gabriela
L.
&
Vargas
N.
2020
Morphotectonic analysis of two axial tributary basins of the San Juan river controlled by the Precordillera fold and thrust belt, Central Andes of Argentina
.
Journal of South American Earth Sciences
98
.
https://doi.org/10.1016/j.jsames.2019.102441
.
Bradley
A. P.
1997
The use of the area under the ROC curve in the evaluation of machine learning algorithms
.
Pattern Recognition
30
(
7
),
1145
1159
.
S0031-3203(96)00142-2
.
Bull
W. B.
&
McFadden
I. D.
1977
Tectonic geomorphology north and south of the Garlock Fault, California. In: Geomorphology in Arid Regions. Proceedings at the Eighth Annual Geomorphology Symposium (Doehering, D. O. (ed.). State University of New York, Binghamton, pp. 115–138. doi:10.4324/9780429299230-5
.
Chandrakant
G.
&
Shaikh
B.
2019
Morphotectonics of Tiru river sub-basin of Lendi river, Maharashtra, India based on GIS
.
Dynanopasak Research Journal
1
,
11
.
Costa
J. E.
1987
Hydraulics and basin morphometry of the largest flash floods in the conterminous United States
.
Journal of Hydrology
93
,
313
338
.
https://doi.org/10.1016/0022-1694(87)90102-8
.
Cox
R. T.
1994
Analysis of drainage-basins symmetry as rapid technique to identify areas of possible Quaternary tilt-block tectonics: an example from Mississippi Embayment
.
Geological Society of America Bulletin
106
,
571
581
.
doi: 10.1130/0016-7606(1994)106 < 0571:AODBSA > 2.3.CO;2
.
Dinpashoh
Y.
,
Singh
V. P.
,
Biazar
S. M.
&
Kavehkar
S.
2019
Impact of climate change on streamflow timing (case study: Guilan Province)
.
Theoretical and Applied Climatology
138
,
65
76
.
https://doi.org/10.1007/s00704-019-02810-2
.
Dinpashoh
Y.
,
Biazar
S. M.
&
Rahmani
V.
2022
Point and regional analysis of drought in Northern Iran
.
Arabian Journal of Geosciences
15
,
1747
.
https://doi.org/10.1007/s12517-022-11021-5
.
El Hamdouni
R.
,
Irigaray
C.
,
Fernandez
T.
,
Chacon
J.
&
Keller
E. A.
2008
Assessment of relative active tectonics, southwest border of Sierra Nevada (Southern Spain)
.
Geomorphology
96
,
150
173
.
http://dx.doi.org/10.1016/j.geomorph.2007.08.004
.
Farhan
Y.
,
Anber
A.
,
Enaba
O.
&
Al-Shaikh
N.
2015
Quantitative analysis of geomorphometric parameters of Wadi Kerak, Jordan, using remote sensing and GIS
.
Journal of Water Resource and Protection
7
,
456
475
.
doi: 10.4236/jwarp.2015.76037
.
Ganasri
B. P.
&
Ramesh
H.
2016
Assessment of soil erosion by RUSLE model using remote sensing and GIS – a case study of Nethravathi Basin
.
Geoscience Frontiers
7
,
953
961
.
https://doi.org/10.1016/j.gsf.2015.10.007
.
Getu
L. A.
,
Nagyc
A.
&
Addis
H. K.
2022
Soil loss estimation and severity mapping using the RUSLE model and GIS in Megech watershed, Ethiopia
.
Environmental Challenges
8
,
1
24
.
https://doi.org/10.1016/j.envc.2022.100560
.
Gomez
B.
&
Marron
D. C.
1991
Neotectonic effects on sinuosity and channel migration, Belle Fourche River, Western South Dakota
.
Earth Surface Processes and Landforms
16
,
227
235
.
https://doi.org/10.1002/esp.3290160304
.
Gosh
R.
,
Srivastava
P.
,
Shukla
U. K.
,
Singh
I.
,
Ray
P. K. C.
&
Sehgal
R. K.
2017
Tectonic forcing of evolution and holocene erosion rate of ravines in the marginal Ganga Plain, India
.
Journal of Asian Earth Science
162
,
137
147
.
https://doi.org/10.1016/j.jseaes.2017.10.014
.
Hack
J. T.
1973
Stream-profile analysis and stream-gradient index
.
US Geological Survey Journal Research
1
,
421
429
.
Hare
P. W.
,
Gardner
T. W.
,
1985
Geomorphic indicators of vertical neotectonism along converging plate margins, Nicoya Peninsula, Costa Rica
. In:
Tectonic Geomorphology: Proceedings of the 15th Annual Binghamton Geomorphology Symposium
(
Morisawa
M.
&
Hack
J. T.
, eds).
Aleen Unwin
,
Boston
, pp.
99
104
.
Horton
R. E.
1945
Erosional development of stream and their drainage basin hydrophysical approach to quantitative morphology
.
Geological Society of America
56
,
275
370
.
https://doi.org/10.1130/0016-7606(1945)56[275:EDOSAT]2.0.CO;2
.
Jain
V. K.
,
Pandey
R. P.
,
Jain
M. K.
&
Byun
H. R.
2015
Comparison of drought indices for appraisal of drought characteristics in the Ken River Basin
.
Weather and Climate Extreme
8
,
1
11
.
https://doi.org/10.1016/j.wace.2015.05.002
.
Jaiswara
N. K.
,
Kumar
K. S.
,
Pandey
A. K.
&
Pandey
P.
2019
Transient basin as indicator of tectonic expressions in bedrock landscape: approach based on MATLAB geomorphic tool (transient-profiler)
.
Geomorphology
106853
.
doi:10.1016/j.geomorph.2019.106853
.
Jaskowiak
P. A.
,
Costa
I. G.
&
Campello
R. J. G. B.
2022
The area under the ROC curve as a measure of clustering quality
.
Data Mining and Knowledge Discovery
36
,
1219
1245
.
https://doi.org/10.1007/s10618-022-00829-0
.
Joshi
P. N.
,
Maurya
D. M.
&
Chamyal
L. S.
2013
Morphotectonic segmentation and spatial variability of neotectonic activity along the Narmada-Son Fault, Western India : remote sensing and GIS analysis
.
Geomorphology
180–181
,
292
306
.
http://dx.doi.org/10.1016%2Fj.geomorph.2012.10.023
.
Kaila
K. L.
,
Murty
P. K. R.
&
Mall
D. M.
1989
The evolution of the Vindhyan basin vis-à-vis the Narmada-Son lineament, Central India, from deep seismic soundings
.
Tectonophysics
162
,
277
289
.
doi: 10.1016/0040-1951(89)90249-7
.
Kale
V. S.
,
Sengupta
S.
,
Achyuthan
H.
&
Jaiswal
M. K.
2013
Tectonic controls upon Kaveri River Drainage, cratonic Peninsular India: inference from longitudinal profiles, morphotectonic indices, hanging valley and fluvial record
.
Geomorphology
227
,
153
165
.
https://doi.org/10.1016/j.geomorph.2013.07.027
.
Keller
E. A.
&
Pinter
N.
2002
Active Tectonics: Earthquakes, Uplift, and Landscape
, Vol.
362
.
Prentice Hall
,
Upper Saddle River
.
ISBN 0-13-088230-5
Kothayari
G. C.
&
Rastogi
B. K.
2013
Tectonic control on drainage network evolution in the Upper Narmada Valley: implication to neotectonics
.
Hindawi Publishing Corporation, Geographical Journal
1
9
.
https://doi.org/10.1155/2013/325808
.
Krishnamurty
M.
&
Srivastava
V. C.
1980
Tectonics and Lineament patterns of the Vindhyan basin based on Landsat Imagery Data
.
Remote Sensing Mineral Exploration
95
99
.
https://doi.org/10.1016/B978-0-08-024438-9.50018-0
.
Moore
I. D.
,
Grayson
R. B.
&
Ladson
A. R.
1991
Digital terrain modelling: a review of hydrological, geomorphological and biological applications
.
Hydrological Processes
5
,
3
30
.
https://doi.org/10.1002/hyp.3360050103
.
Muller
J. E.
1968
An introduction to the hydraulic and topographic Sinuosity indexes
.
Annals of the American Association of Geographers
58
.
https://doi.org/10.1111/j.1467-8306.1968.tb00650.x
Nur
A.
1982
The origin of tensile fracture lineaments
.
Journal of Structural Geology
4
,
31
40
.
https://doi.org/10.1013/0191-8141(82)90004-9
.
Panda
B.
,
Venkatesh
M.
,
Kumar
B.
&
Anshumali
2019
A GIS-based approach in drainage and morphometric analysis of Ken River Basin and Sub-basins, Central India
.
Journal of Geological Society of India
93
,
75
84
.
https://doi:10.1007/s12594-019-1125-9
.
Peshwa
V. V.
,
Mulay
J. G.
&
Kale
V. S.
1987
Fracture zones in the Deccan Traps of western and central India: a study based on remote sensing technique
.
Journal of Indian Society of Remote Sensing
15
,
9
17
.
doi: 10.1007/BF03003664
.
Prakash
K.
,
Singh
S.
&
Shukla
U. K.
2016a
Morphometric changes of the Varuna river basin, Varanasi district, Uttar Pradesh
.
Journal of Geomatics
10
,
48
54
.
Prakash
K.
,
Mohanty
T.
,
Singh
S.
,
Chaubey
K.
&
Prakash
P.
2016b
Drainage morphometry of the Dhasan River Basin, Bundelkhand craton, Central India using remote sensing and GIS techniques
.
Journal of Geomatics
10
,
121
132
.
doi: 10.1007/s12040-021-01709-9
.
Prakash
K.
,
Mohanty
T.
,
Pati
J. K.
,
Singh
S.
&
Chaubey
K.
2016c
Morphotectonics of the Jamini River basin, Bundelkhand Craton, Central India; using remote sensing and GIS technique
.
Applied Water Science
1
16
.
doi:10.1007/s13201-016-0524-y
.
Prakash
K.
,
Singh
S.
,
Singh
C. K.
,
Kannaujiya
A. K.
,
Singh
P.
&
Deep
A.
2019
Morphometric investigation of Mandakini river basin, Chitrakoot district, Uttar Pradesh, using remote sensing and gis techniques
.
Journal of Scientific Research
63
,
13
24
.
ISBN:0447-9483
.
Ramasamy
S. M.
&
Bakliwal
P. C.
1988
Use of remote sensing in lineament analysis for tectonic evolution and resource study of a part of Vindhyan Basin, Jhalawar area, India
.
Journal of Indian Society of Remote Sensing
16
,
63
71
.
http://dx.doi.org/10.1007/BF02992102
.
Roy
A. B.
&
Purohit
R.
2018
Indian Shield: Precambrian Evolution and Phanerozoic Reconstitution
.
Elsevier Science
,
Amsterdam
, pp.
1
398
.
ISBN: 9780128098400
Saaty
R. W.
1987
The analytic hierarchy process – what it is and how it is used
.
Mathematical Modeling
9
,
161
176
.
https://dx.doi.org/10.1016/0270-0255 (87)90473-8
.
Schumm
S. A.
1956
Evolution of drainage system and slope in badlands at Perth Amboy, New Jersey
.
Geological Society of America Bulletin
67
,
597
646
.
http://dx.doi.org/10.1130/0016-7606(1956)67[597:eodsas]2.0.co;2
.
Silva
P. G.
,
Goy
J. L.
,
Zazo
C.
&
Bardajm
T.
2003
Fault generated mountain fronts in southeast Spain: geomorphologic assessment of tectonic and earthquake activity
.
Geomorphology
250
,
203
226
.
http://dx.doi.org/10.1016/S0169-555X(02)00215-5
.
Singh
S.
,
Prakash
K.
,
Ram
P.
,
Singh
P.
,
Singh
C. K.
,
Naik
A. S.
&
Panwar
N.
2021
Study of lineaments control on drainage development in between Chandigarh and Kashipur using Geospatial Techniques
.
Journal of Scientific Research
65
(
1
),
1
6
.
Singh
P.
,
Kannaujiya
A. K.
,
Deep
A.
,
Singh
S.
,
Mohanty
T.
&
Prakash
K.
2022
Spatio-temporal drought susceptibility assessment of Ken River Basin, Central India, and its evaluation through river's morphometry
.
Geological Journal
1
25
.
https://doi.org/10.1002/gj.4622
.
Strahler
A. N.
1952
Hypsometric analysis of erosional topography
.
Geological Society of America Bulletin
63
,
1117
11142
.
https://doi.org/10.1130/0016-7606(1952)63[1117:HAAOET]2.0.CO;2
.
Strahler
A. N.
1956
Quantitative slope analysis
.
Geological Society of America Bulletin
67
,
571
596
.
https://doi.org/10.1130/0016-7606(1956)67[571:qsa}2.0.co;2
.
Strahler
A. N.
1964
Quantitative geomorphology of drainage basin and channel network
.
Handbook of Applied Hydrology
39
(
76
),
269
.
https://doi.org/10.1007/3-540-31060-6_304
.
United Nations Office for Disaster Risk Reduction
2021
GAR Special Report on Drought
, pp.
1
210
.
Urbano
T.
,
Piacentini
T.
&
Buccolini
M.
2017
Morphotectonics of the Pescara River basin (Central Italy)
.
Journal of Maps
13
,
511
520
.
https://doi.org/10.1080/17445647.2017.1338204
.
Valdiya
K. S.
2015
The Making of India: Geodynamics Evolution. Society of Earth Science Series
,
Springer
,
Berlin
, pp.
1
924
.
ISBN 978-3-319-25029-8
Williams
P. W.
2017
New Zealand Landscape
.
Elsevier
, pp.
1
482
.
https://doi.org/10.1016/C2016-0-02167-8
.
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