- Open Access
Application of paleostress analysis for the identification of potential instability precursors within the Benue Trough Nigeria
© The Author(s). 2016
- Received: 15 July 2016
- Accepted: 15 September 2016
- Published: 4 October 2016
Structures such as faults, joints and fractures of diverse patterns have acted as precursors of several slope instability cases within the Benue Trough Nigeria. In some cases, the structures by their nature weakened and also created avenues that streams took advantage to further destabilize the rock slopes. In other cases, structure orientation played significant roles in the mobility and eventual runout distance of debris flow and avalanches in the region. Detailed field-based structural, fracture and paleostress analyses were therefore carried out to determine the fractural patterns that correlate to reported instability and landslide cases in the region; and to produce models that reveal areas with heightened risk.
Three fracture sets were isolated from analysis of fracture orientations and field relationships: Pre-folding (JT), Syn-Folding (JS) and Post Folding (JC) fracture systems. Paleostress analysis carried out on these fracture systems using the TENSOR™ software tool yielded three paleostress tensors corresponding to transtensional stress tensor with ENE-WSW direction of maximum extension (SHMIN), oblique compressive (transpressional) tensor with NW-SE direction of maximum shortening (SHMAX), and transtensional tensor with WNW-ESE direction of maximum extension (SHMIN).
These tensors are related to the prevailing plate tectonic stress regimes affecting the entire Benue trough and the West and Central African Rift System (WCARS). Our pre- and post-tectonic models have revealed the reasons for instability and the likely places where future failures may be located. This is the first such analyses in the region and it is hoped that the results can broaden the use and applicability of paleostresses in failure-prone terrains for future risk and disaster reduction/assessment within the Trough and in other areas prone to structure-controlled landslides disaster.
- Landslides disaster
Similarly, Igwe (2015b) described a fractured slope in which streams took advantage of discontinuities to trigger a landslide in an area without any previous history of failure. It became obvious afterwards that this particular case was clearly a case of a disaster waiting to happen because researchers had not observed the myriad of fractures in the basal lithologic units comprising the slopes. The occurrence of fractures and their study are therefore important not only in slope stability risk assessment but also in disaster reduction and management. The understanding of the stress orientation will improve the knowledge of deformation mechanisms, which is crucial for the implementation of a viable monitoring system.
Irfan (1999), Revellino et al (2010), Grelle et al (2011), Aucelli et al. (2013), Prakash et al (2015) have reported structurally-controlled landslides. Investigation of the landslides revealed that the geo-structural settings predisposed the slopes to factors triggering mass movements, which is consistent with Fookes and Wilson (1966), Zaruba and Mencl (1969), and Varnes (1978). A structurally-controlled landslide is also documented in Luzon et al (2016) where it was reported that the 2006 rockslide-debris avalanche in Southern Leyte, one of the largest known landslides in the Philippines in recent history, occurred on a weakened slope at an area where there was continuous movement along the Philippine Fault. The characteristics and mechanisms of the Leyte landslides reported in Sassa et al (2004) and Catane et al (2008) are similar to those of the Nigeria-Cameroon border avalanche.
Brittle fractures are the consequences of the action of stresses on a macroscopic scale. A rock body subject to a known stress regime (that produces fractures) has an unambiguous relationship among the fracture planes and the orientations of the stresses. This concept can then be used to reconstruct the orientation of forces that created the fractures that were active in the past based on present day orientations. To fully understand the applicability of paleostress technique in risk assessment, it is necessary to analyze ancient stress regimes in the context of their role as potential precursory agents. Kayen et al. (2011) noted that stress analysis is a useful and popular tool for structural and seismological elements. Kaymakci (2006) reported that the state of stress in rocks is generally anisotropic and is defined by stress ellipsoid axes, which characterize the magnitudes of the principal stresses. The paper determined Paleostress orientations and relative paleostress magnitudes (stress ratios) using the reduced stress concept for the purpose of improving the understanding of the kinematic characteristics of a Basin.
At the moment, there is no previous paleostress study of the study area, which has in part hindered knowledge of the potential instability precursors in the zones of frequent slope failures. Even though a century of geological study has enabled an extensive understanding the geology of the Benue Trough, it was only in the later part of the 20th century that a picture of the structural framework, within which the trough evolved, began to emerge. The controversies surrounding the tectonic evolution of the Benue trough have been largely resolved; with the overwhelming evidence leaning towards the interpretation of the Benue trough as a collection of wrench related pull apart basins related to transcurrent movement along deep-seated oceanic transform faults (Benkhelil 1982, 1989; Guiraud et al 1989; M. Guiraud 1993). The evolution of the basin has also been incorporated into a framework of genetically related basins in west and central Africa: The West and Central African Rift System (WCARS) (Binks and Fairhead 1992; Genik 1992; Guiraud et al 1992; Guiraud and Maurin 1992; Fairhead et al 2013;). There is only limited field based structural studies especially in the central and southern parts due to the nature of the units which do not allow for preservation, and the tropic climate which makes for a difficult terrain to carry out detailed structural studies necessary to obtain information which could be used to deduce structural regimes that can be correlated to the precursor factors reported in several slope failures within the trough, and data required for the various methods of stress inversion (Benkhelil 1986).
Geologic and stratigraphic setting
The Afikpo synclinorium, forming a part of the Southern Benue Trough (Fig. 1), offers a unique opportunity to study and understand the deformational processes and to determine the tectonic stresses active in the southern Benue trough as the highly indurated nature of the sediments allow for a relative abundance of outcrops where structural data useful for inversion could be collected.
A summary of discontinuities’ characterization in the study area
No. of fractures
Average fracture spacing (m)
Aboine River Akpoha
Asu River Ohaozara
Asu River Akpoha
Aboine River Isinkoro
Aba-Omega Ugep Road
The most common and extensively used method of stress inversion typically involves use of faults with slickenlines that record the direction of slip relative to the fault plane (Hancock 1985; Angelier 1994; Ramsay and Lisle 2000). Their use is based on the Wallace-Bott hypothesis which states that the slip on a planar structure is assumed to occur parallel to the greatest resolved shear stress (Bott 1959). Similar assumptions can be made for extension fractures (e.g. Joints) and contractional (e.g. Stylolites) fractures -that they form perpendicular or at a high angle to the minimum (σ 3) and maximum (σ 1) principal stress direction respectively- or for conjugate shear fractures where the maximum principal stress (σ 1) bisects the acute angle between the conjugate planes while the minimum principal (σ 3) stress bisects the obtuse angle between the fracture planes. The structures can be used separately or collectively to constrain the stress field that led to their formation. The assumption being that the fractures formed in the same homogenous stress field i.e. related to the same deformational event, that the rocks themselves are fairly homogenous, the fractures do not significantly perturb the stress field in their vicinity and also that the structures have not rotated significantly since their initiation (Ramsay and Lisle 2000).
The aim of paleostress inversion is to characterize what is known as the reduced stress tensor. The reduced stress tensor has four parameters of the six needed to define the full stress tensor: the principal stress axes σ 1 (maximum), σ 2 (intermediate) and σ 3 (minimum) and the ratio of principal stress differences, R = (σ 2 − σ 3)/(σ 1 − σ 1). The parameter R defines the shape of the stress ellipsoid. Only the directions of the principal stresses (known as Euler angles) can be determined for the stress tensor from inversion. Their relative magnitudes are represented by the fourth parameter R. The two additional parameters of the full stress tensor arc the ratio of extreme principal stress magnitudes (σ 1/σ 3) and the isotropic component of the stress tensor (the Mean stress), but these cannot be determined from fracture data only.
The methods of paleostress inversion are numerical and currently involve the use of computer programmes to statistically analyse fracture data in order to characterize the stress field responsible for them (Etchecopar et al 1981; Angelier 1994; Ramsay and Lisle 2000; Delvaux and Sperner 2003; Célérier et al. 2012). This study makes use of TENSOR™ program (Delvaux 1993; Delvaux et al. 1997; Delvaux and Sperner 2003). This program is a tool for controlled interactive separation of fault slip or focal mechanism data and progressive stress tensor optimization using successively the Right Dihedron method and the Rotational Optimization method. Detailed explanation of how these methods are utilized in TENSOR can be found in Delvaux et al. (1997) and Delvaux and Sperner (2003).
The stress regime is determined by the nature of the vertical stress axes: extensional when σ 1 is vertical, strike-slip when σ 2 is vertical and compressional when σ 3 is vertical. The stress regimes also vary, within these three main types, as a function of the stress ratio R : Radial extension (σ 1vertical, 0 < R < 0.25), Pure extension (σ 1 vertical, 0.25 < R < 0.75), Transtension (σ 2 vertical, 0.75 < R < 1 or σ 2 vertical, 1 > R > 0.75), Pure strike-slip (σ 2 vertical, 0.75 > R > 0.25), Transpression (σ 2vertical, 0.25 > R > 0 or σ 3 vertical, 0 < R < 0.25), Pure compression (σ 3, vertical, 0.25 < R < 0.75) and Radial compression (σ 3 vertical, 0.75 < R < I) (Delvaux et al. 1997; Delvaux and Sperner 2003). The type of stress regime can be expressed numerically using an index R', ranging from 0.0 to 3.0 and defined as follows:
R' = R when (σ 1 is vertical; extensional stress regime)
R' = 2 - R when (σ 2 is vertical; strike-slip stress regime)
R' = 2 + R when (σ 3 is vertical; compressional stress regime).
The stress fields were determined for the three joint systems based on field-based age relationship criteria. The tensors were determined after applying the Right Dihedron and Rotational Optimization described above.
At a location named Amaseri Ridge, analysis was carried out on 14 joints (extension fractures) with two tensors determined. A strike-slip extensional tensor characterized by σ 1 = 76/008, σ 2 = 13/163 and σ 3 = 07/254 and a stress regime index of 1.00 and a NNW-SSE direction of maximum shortening, characterized the JT fracture system (Fig. 6b). An oblique radial compressive tensor with σ 1 = 47/348, σ 2 = 19/237 and σ 3=37/131 and a stress regime index of 3.00 and a NE-SW direction of maximum shortening, characterized the gently dipping JS fracture system (Fig. 9b). Similarly at another location called Amichi, analysis was carried out on 40 joints (extension fractures) with a single strike-slip extensional tensor characterized by σ 1 = 88/072, σ 2 = 00/341 and σ 3 = 02/251 and a stress regime index of 1.00 and a NNW-SSE direction of maximum shortening, determined for the JT fracture system (Fig. 6c).
For a long time now, paleostress inversion techniques have been successfully applied to various tectonic settings despite some existing limitations. This work is all the more useful because there is very little information about the link between instability and discontinuities in the unstable regions of the country.
From the results three major tensors can be characterized for the study area. They are directly related to the three fracture systems earlier described, with indications that these directions are a manifestation of stress permutations in the region which are contemporaneous. Shearing along these fractures leads to deformational pathways that may be similar to the mechanisms espoused in Scheidegger (1998) and Grelle and Guadagno (2010). Interestingly, the dominant fracture orientations can be correlated to the general trends of the fractures that have created instability and predisposed the unstable slopes in the region to several failures. The knowledge gained from the unambiguous relationships among the fracture planes and the orientations of the stresses can be applied for the analysis of risks at specific areas of high instability such as the Iva valley in Enugu and the Nigerian-Cameroon mountain range.
This research undertook the structural characterization of small and large‐scale discontinuities to properly understand their roles as potential precursors of instability. Detailed field-based structural and paleostress analysis using the software TENSOR™ have enabled three stress regime phases to be characterized for the study area from the Cenomanian to the Maastrichtian. A cenomanian to Coniacian transtensional phase, a Santonian transpressional phase and a Campanian to Maastrichtian transtensional phase. These stress regimes are related to regional plate scale tectonics affecting the Benue Trough as a whole. Interestingly, the dominant stress orientations correspond to the reported orientations of the fractures predisposing slopes to catastrophic failures in the region; which are indications that the fractures origin is related to the regional paleostress history of the Benue Trough.
A most prominent strike-slip extensional or transtensional tensor, with a general NE-SW maximum extension (SHMIN) is strikingly similar the fractural trend related to major episodes of landslide activity in the region. Additionally, The third tensor which is transtensional but with a change in direction from the typical NE-SW to NNE-SSW maximum extension (SHMIN) are fracture orientations related to deformation bands and probably to nearby faulting, which are all signs of instability.
Furthermore, the paleostress analysis has aided the production of accurate pre- and post- tectonic models of the area which can be used as a reference in future stress analysis and interpretation. It is understood that areas of increased instability are the areas that have probably experienced faulting, folding, intrusions, and are criss-crossed by several discontinuities. Using this knowledge therefore, it will be possible to predict the areas of frequent landslide activity within the Trough are the areas. Before the tectonic activities, the Trough seemed generally stable. This stability appeared to have been lost following the Santonian tectonic activity which created instability pathways. These pathways not only weakened the rocks but are also now being exploited by factors aggravating failure tendencies.
Finally, this work will enable the prediction of the likely fractural trends in any area within the Trough, and may aid the development of sustainable disaster management and risk reduction strategies.
The authors wish to acknowledge the support of the staff and post-graduate students of the Department of Geology, University of Nigeria, Nsukka during and after data collection. We would like to thank Dr A. W. Mode who is the coordinator of the petroleum trust fund activities in the University for his Support.
OI conceived, designed, modified and approved the research project. OI also examined the data, validated the results of analysis, interpreted the data, and drafted the manuscript. IAO was my MSc, and Ph.D student. This manuscript was part of IAO MSc and Ph.D work under the supervision of OI. IAO collected the field data, made substantial contribution in data analysis and interpretation, created the maps and Figures, was involved in the design and scoping of the project, edited the draft manuscript. Both authors read and approved the final manuscript.
The authors declare that they have no competing interests.
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