Abstract
Assessment of landslide hazards is important in highway engineering especially considering the landslide hazards along challenging roads; more research is needed to understand progressive strategies. Therefore, multidisciplinary and advanced methodologies were needed to assess the formation mechanisms and stability of complex landslides on the Muzaffarabad-Mansehra Highway in northern Pakistan. The main study objectives were to investigate slope failures, identify the triggering mechanism of layered rocks, image subsurface geometrical configurations, and assess slope stability factors using field operations, remote-sensing tools, geomorphological mapping, geophysical imaging, and kinematics analysis. The findings indicate that the foliated Hazara Formation, being buckled easily, is particularly susceptible to the geo-environmental conditions that triggered the landslide. Geophysical surveys revealed multiple layers of varying depth and thickness, highlighting the complexity of the landslide. Low resistivity zones (0.325-1 350 Ω·m) indicated the presence of un-onsolidated, water-saturated materials and highly sheared substances, whereas high resistivity zones (1 510-26 092 Ω·m) were associated with overburden, including alluvium, boulders, and dry slate fragments. Seismic refraction tomography indicated low P-wave velocities (400-1 800 m/s) within highly saturated overburdens, reworked blocks, and surficial weathering. The subsurface layers are interspersed with fragmented pieces of high-density rock and massive boulders, displaying P-wave velocities within the range of 3 000-5 000 m/s. Both tomographic methods revealed a fracture zone extending 30 m depth, which poses a significant risk of catastrophic occurrences. The sliding surface was found to be 25-30 meters depth at the crown and 45 meters depth in the main body. Kinematic analysis identified wedge failure as the primary failure mode along highway cuts. The findings of this study demonstrate the significance of employing integrated techniques to analyze the underlying mechanics of landslide hazards within the context of highway engineering. Furthermore, these integrated procedures are highly advantageous in efficiently eliminating the associated risks posed by such hazards.
Landslides may substantially affect human populations, engineering structures, and the environmen
Although the vulnerability to landslides along challenging routes in northern Pakistan is recognized, additional research is necessary to improve the understanding of advanced techniques. The implementation of multidisciplinary methodologies based on ground-based field investigations, aerial photography gears, remote sensing tools, geomorphological mappings, lithological and structural failure modes, kinematic analysis, and comparative geophysical subsurface modeling needs to be addressed in the field of landslide research in this particular part of the world. Therefore, this study was designed to adopt a comprehensive combination of investigative techniques.
Landslides are often caused by geological features like steep slopes, weak rock or soil, weathering, drainage patterns, precipices, fault scarps, and escarpments with rock and water-soaked soil types on top of each othe
These techniques can be employed to chart subsurface characteristics, including shear zones, fissures, and aquifers, that may contribute to landslides
The Lohar Gali landslide is located in the northern region of Pakistan, precisely on the Muzaffarabad-Mansehra Highway, with coordinates ranging from 73°26'19'' to 73°26'40'' longitudes and 34°20'38'' to 34°20'51'' latitudes, approximately 3 km from the city center of Muzaffarabad, home to nearly one million inhabitants, and is linked to the Khyber Pakhtunkhwa (KP) province through this highway (


Fig. 1 Regional setting of the Lohar Gali landslide
Notes: (a) Location map; (b) Hazara Kashmir Syntaxis revised from reference [

Fig. 2 Geological setting and climate features of study area
(a) Geological map (b) Annual precipitation data and cumulative landslides,
;revised from reference [
Tectonically, the Muzaffarabad region is located in the core of the Hazara-Kashmir Syntaxis (
The Lohar Gali landslide is located on the hanging wall block of the Jhelum Fault (
The region exhibits diverse climatic and topographical features, with average temperatures ranging from 2 to 25 °C in winter and summer, respectively. Additionally, the area is significantly influenced by monsoon patterns that occur in June, July, and August, resulting in an average annual precipitation of 1 200 to 1 308 mm
The study area was examined using geophysical techniques with UAV (Unmanned Aerial Vehicle) photographs and remote sensing images. A combination of fieldwork, satellite images, and a UAV (Phantom 4 Pro UAV) survey was used in the research methodology to investigate the geological and geomorphological distribution of the landslid

Fig. 3 Geophysical investigation scheme at Lohar Gali landslide
(a) ERT and SRT array lines for the geophysical investigation (b) Resistivity chart for different types of rocks and soils, revised from reference [

(a) Geomorphological distribution of the Lohar Gali landslide

(b) Satellite images (Landsat-8) of the Lohar Gali landslide since 2002 showing different episodes of mass triggering along Muzaffarabad-Mansehra Highway
Fig. 4 Evolution process of the Lohar Gali landslide

Fig. 5 Deformation feature of the Lohar Gali landslide
Notes: (a) Aerial view of the western section of the landslide; (b) The fracture zone with field photo index in which (I, II) shows subsidence up to 8 cm with minor lateral cracks, damaged retaining structure is shown in (V), while (III, IV) represents a oblique displacement of about 50 cm and 37 cm respectively; (c) is taken from the escarpment to display different landslide features.

Fig. 6 Geological features of the Lohar Gali landslide
Notes: (a) Aerial view of the eastern section of Lohar Gali landslide; (b) Features associated with detached blocks; (c) Example of water seepages and slickensides; (d) Overturned northeast directions folding result of enormous stresses; (e) Steeply dipping strata shows striations of sliding over blocks,; (f) Highly imbricated shales metamorphosed into gouge material; (g) Bulging in slates due to unloading of overburden.

Fig. 7 Geomorphology of the erosional gully system
The joint data was collected from the outcrop exposed along the Lohar Gali landslide zone to perform kinematic analysis, enabling us to understand the nature of slope failure. Visual observations were used to determine the orientation of joints by Brunton Compass measurements and clinometer readings, while precise locations were taken by Trimble handset Global Positioning System (GPS). The present work employed DIPS (Data Interpretation using Projected Stereonets) to conduct kinematic analysi
The collected data were analyzed in the laboratory using software applications such as Pix4D, DroneDeploy, ArcGIS Desktop 10.8.1, and DIPS. Similarly, Wei et al
ERT is a method for figuring out the electrical resistivity distribution below the surfaces by measuring different types of resistance from electrodes that are arranged in a non-uniform geometric pattern
A comprehensive field tour was organized to gather geophysical data on landslide geometrical configurations (
SRT is a methodology that utilizes travel time measurements of direct, refracted, and diffracted wave phases. The difference in velocity between waves is important for the method to work effectively. The behavior and physical properties of a material greatly influence how fast seismic waves can travel through it. Therefore, investigations into landslides that utilize this data to establish the failure surface and the physical properties of the landslide material have the potential to produce valuable outcomes. This has been demonstrated in previous studie
A two-dimensional (2D) seismic refraction tomography survey was conducted along different profiles at the research site, as depicted in
The area affected by the Lohar Gali landslide (1.633 square kilometers) was partitioned into northern and southern zones, as illustrated in
According to the geological investigation conducted at Lohar Gali, it has been determined that the landslide area is primarily characterized by the Pre-Cambrian age Hazara Formation. This lithological formation is metamorphic and predominantly composed of shales, phyllites, and slates, with occasional occurrences of limestone (

Fig. 8 Geoelectric sections of the electrical resistivity tomography survey at Lohar Gali Landslide; the locations of all geophysical lines are listed in Fig. 3(a)

Fig.9 Location of active block and geological profile
(a) Conceptual model for the vulnerable active block (b) Schematic longitudinal cross-section of
;in the western section the Lohar Gali landslide

Fig. 10 SRT velocity sections conducted at Lohar Gali Landslide
The Jhelum River has been consistently washing out the toes of these active landslides as it flows in a meandering pattern. The tectonic activities of this area, s compressional and transpressional regimes are significantly influenced by the nearby geological structures and a few small-scale splay faults. The segments affected by landslides display a dense yet inadequately managed drainage system carved into deformed shales, phyllites and slates.
The western part of the landslide has been identified as having a high possibility of failures due to a newly activated fracture zone, which extends in a northeast-southwest direction and is demarcated by red and yellow dotted lines in
Six active areas were found along this fracture by field investigations. III zone shows an oblique movement of 50 cm, while IV zone in
Besides this, the town of Lohar Gali comprises approximately 50 residential units situated on a scenic topography. The local people have a limited knowledge regarding the geological vulnerability of their surroundings (Figs.
Extensive landslides at Lohar Gali can be attributed to several factors, including geological, geo-environmental, and anthropogenic influences. This region experiences deformation due to tectonic forces, with notable geological features, such as the Jhelum Fault and Muzaffarabad Fault. These faults possess a seismic record and have been involved in notable earthquakes in the region
Besides this, the natural hydrological network and river cutting play a significant role in the genesis of drainage systems, parallel erosional gullies, and the deepening and expansion of the central and lower regions of landslides, particularly during the monsoon rainy seasons (Figs.
Drainage System: The formation of the drainage system within a given region is subject to the influence of diverse geological factors, including tectonic activity, localized structures, and the lithological characteristics of rock formations
Besides natural drainage, the slopes above the Muzaffarabad-Mansehra Highway section are subjected to wastewater discharge from residential and agricultural areas, triggering landslides in the upper region. It is noteworthy that the research sites receive a constant influx of recharge from road drainage, community waste, and precipitation. The factors mentioned earlier worsen the drainage conditions, facilitating the emergence and advancement of landslides in the area.
Erosional Gullies: The morphology of landslides is significantly impacted by erosional gullies. Erosion channels are frequently formed through surface runoff linked with drainage systems and the consequent sediment, debris, and water transportation. This leads to the gradual carving of channels into the soil and soft layer of rock, as illustrated in the model (
River Meandering: This process can lead to the undermining of slopes and substantial erosion, ultimately causing destabilization of the surrounding region
The steeply inclined erosional gullies lead to the transportation of debris downstream, where it is subsequently deposited along the river,s edges in the shape of alluvial fans (Figs.
In this research we employed electrical resistivity tomography to understand the subsurface characterization of the Lohar Gali landslide (
ERT line/array type | (length/ electrodes/spacing)/m | max depth acquired/m | resistivity/(Ω·m) | lithological variations |
---|---|---|---|---|
LG-1 Wenner-Schlumberger | 200/40/5 | 45 |
2.07-21.4 21.5-131 132-796 797-4 848 |
Saturated sheared slates and phyllites Competent strata (slate) Loose overburden material Boulders and deep dry fracture |
LG-2 Wenner-Schlumberger | 200/40/5 | 45 |
0.325-283 284-734 735-2 661 2 662-26 092 |
Deep water channel Saturated bedrock Loose overburden Deep dry fracture and boulders |
LG-3 Wenner-Schlumberger | 200/40/5 | 45 |
0.598-29.9 30-1 510 1 511-5 586 5 587-11 974 |
Water seepages and sheared loose material Loose overburden Competent strata and deep dry fractures Boulders |
LG-4 Wenner-Schlumberger | 200/40/5 | 45 |
1.74-72.2 72.3-401 402-1 350 1 351-3 583 |
Water seepages and saturated sheared loose fragments Competent strata Dry overburden, Road fillings, Boulders |
LG-5 Wenner-Schlumberger | 200/40/5 | 45 |
0.776-15.1 15.2-292 292-5 671 5 672-24 981 |
Water-saturated fragments and water channels Deep water flows through channels Competent strata of slates and phyllites Road Fillings and dry material with boulders. |
Our findings indicate that the resistivity of fractured phyllites exhibits a range of values from 0 to 734 Ω·m. Lower resistivity values are observed in the presence of water, whereas higher resistivity values are associated with dry, intact rock subject to high confining pressure. This dryness is due to the closure of fractures and the consequent reduction of fluid flow in deeper areas (
The tomogram LG-2 has also identified three distinct water channels at a depth of 15 m, characterized by a resistivity range of 0.325-283 Ω·m (
The electrical resistivity tomography models on the eastern section have revealed the presence of dry-filled road material and boulders (5 671-24 981 Ω·m) along with two shallow water channels within sheared loose material showing a resistivity range of 0.776-15.1 Ω·m as indicated in LG-6 (
The subsurface lithology has been classified into three distinct layers through a comprehensive analysis of resistivity variations. The topmost stratum is composed of unconsolidated overburden materials, including alluvium, boulders, and dry road fills. The second layer comprises sheared and fractured shales and phyllites that slide over fragmented yet competent strata. The exact slip surface is more challenging to mark with ERT surveys; some scholar
Seismic refraction tomography was used to scan the Lohar Gali landslide, s subsurface lithological distribution and geometry, as shown in
Seismic refraction tomographic data revealed three fractures within a horizontal range of 50-150 m. Notably, one of these fractures (Fracture-Ⅰ) is an extensive fracture that extends to a depth of 30 m (LS-1 and LS-2 in
The study compared the outcomes obtained from implementing electrical resistivity tomography and seismic refraction tomography, which are shown in Figs.
Slope failure in stratified rock formations is the predominant geological hazard in the northwestern Himalayan region. The geomorphology of terrains is subject to continuous reshaping due to mounting stresses and weathering agents. However, it is essential to acknowledge that the exposed rock types also provide substantial resistance. The geological composition of the landslide outcrop area is characterized by foliated rocks, including shales, phyllite, schist, and slate, which exhibit a distinct layered structure. The layered rocks are bound by cleavage planes that are comparatively more susceptible to the continuing effects of precipitation, subsurface water channels, weathering, attrition, and gravity. Rainwater can infiltrate through fractures and permeate the vulnerable areas, leading to increased saturation and instability of the strata (
The consideration of various phases of structural deformation and their impact on foliations holds key importance in understanding failure mechanism in layered rocks (

Fig. 11 Possible failure causes of the the Lohar Gali landslide
Notes: (a-h) Failure mechanism in layered rocks; (i and j) show the response of layered rocks in the Lohar Gali landslide area
The weathering conditions experienced by metamorphic rocks have the potential to cause a reduction in the friction angle by a range of 8° to 10°. This can lead to a weakening of the rock,s strength and an increase in the presence of clay minerals. As a result, the strength of slates may be reduced by as much as 30% to 50%
Joint orientation data was collected from 33 locations along the road cuts in the study area (

Fig. 12 Kinematics analysis of the Lohar Gali landslide Kinematics analysis in DIPS
Notes: (a) Direct toppling; (b) Planar failure; (c) Wedge sliding with planes; (d) Wedge failure; (e, f and g) shows the joints orientation in the field.
The ground data have shown that the exposed surficial Hazara Formation is mostly dragged, buckled, and overhung, justifying the dominant failure types found through the kinematic analysis. The mitigation of these failures is vital for the durability of highway engineering structure.
Road engineering plays a crucial role in ensuring the safety and dependability of transportation infrastructure
Our recent analyses show that the rocks in the research region feature gouged, brecciated, jointed, fractured, and buckled structures as a result of fault stresses (Figs.
Geophysical engineering at Lohar Gali found overhanging boulders and road-filling cavities saturated by groundwater seepage into the weaker material, causing fracture extension (Figs.
The study on the Lohar Gali landslide emphasizes the importance of multidisciplinary scientific evaluations to control and mitigate landslide hazards in road infrastructure. By integrating these approaches, highway engineers can potentially construct safer and more resilient transportation infrastructure for future generations.
The massive landslide in Lohar Gali has been triggered by various geological, geo-environmental, and human factors. Our research revealed that regional stresses, lithological composition, topography, precipitation, drainage system, erosional gullies, overburden, and river cutting significantly contributed to landslides in the study area. The area has a steep slope of 60° to 70°, with highly imbricated layers of shales, phyllites, and slates. These foliated rocks are more prone to severe climatic conditions. The natural drainage pattern has contributed to parallel gullies, which have deepened and enlarged the central section, particularly during monsoon seasons. The thick layers of colluvium and massive-sized boulders accumulated in the upper and central parts have created enormous loads on slopes, which are also responsible for slope failures.
The kinematic analysis concluded that the possibility of wedge failure is more than the toppling and planar failures along the highway cuts. The electrical resistivity and seismic refraction tomograms have shown similar results in characterizing subsurface lithological, hydrological, and geometrical configurations. The landslide material has low resistivity values of 0.325-1 350 Ω·m and low velocities of 400-1 800 m/s in highly saturated clays, loosely packed overburden material, and deformed shales. Near-surface and deep-water channels were also found during interpretations. The fragmented bedrock and massive-size boulders have high resistivities (1 510-26 092 Ω·m) and P-wave velocities (3 000 to 5 000 m/s). Variations in resistivity and P-wave velocity allowed to identify three layers in the subsurface lithology. It can be assumed that the slip surface is 25 to 30 m deep in the crown and 45 m deep in the accumulation zone.
The most significant finding of this research is the confirmation of a fracture zone that extends up to 30 m in depth and was previously identified during preliminary field investigations. With a vast volume of 7 297 040
References
EMBERSON R, KIRSCHBAUM D, STANLEY T. New global characterisation of landslide exposure [J]. Natural Hazards and Earth System Sciences, 2020, 20(12): 3413-3424. [Baidu Scholar]
WOUTER BOTZEN W J, DESCHENES O, SANDERS M. The economic impacts of natural disasters: A review of models and empirical studies [J]. Review of Environmental Economics and Policy, 2019, 13(2): 167-188. [Baidu Scholar]
HUSSAIN M A, CHEN Z L, KALSOOM I, et al. Landslide susceptibility mapping using machine learning algorithm: A case study along Karakoram Highway (KKH), Pakistan [J]. Journal of the Indian Society of Remote Sensing, 2022, 50(5): 849-866. [Baidu Scholar]
KHAN H, SHAFIQUE M, KHAN M A, et al. Landslide susceptibility assessment using Frequency Ratio, a case study of northern Pakistan [J]. The Egyptian Journal of Remote Sensing and Space Science, 2019, 22(1): 11-24. [Baidu Scholar]
SATI V P. Glacier bursts-triggered debris flow and flash flood in Rishi and Dhauli Ganga valleys: A study on its causes and consequences [J]. Natural Hazards Research, 2022, 2(1): 33-40. [Baidu Scholar]
ULLAH K, WANG Y, FANG Z C, et al. Multi-hazard susceptibility mapping based on Convolutional Neural Networks [J]. Geoscience Frontiers, 2022, 13(5): 101425. [Baidu Scholar]
XIONG L Y, LI S J, TANG G A, et al. Geomorphometry and terrain analysis: Data, methods, platforms and applications [J]. Earth-Science Reviews, 2022, 233: 104191. [Baidu Scholar]
ZHAO B, WANG Y S, LI W L, et al. Evaluation of factors controlling the spatial and size distributions of landslides, 2021 Nippes earthquake, Haiti [J]. Geomorphology, 2022, 415: 108419. [Baidu Scholar]
CHEN B, LI Z H, ZHANG C L, et al. Wide area detection and distribution characteristics of landslides along Sichuan expressways [J]. Remote Sensing, 2022, 14(14): 3431. [Baidu Scholar]
CHETTRI N, TEMPA K, GURUNG L, et al. Association of climate change to landslide vulnerability and occurrences in Bhutan [M]//SARKAR R, SHAW R, PRADHAN B. Impact of climate change, land use and land cover, and socio-economic dynamics on landslides. Singapore: Springer, 2022: 3-37. [Baidu Scholar]
SU L J, XU X Q, GENG X Y, et al. An integrated geophysical approach for investigating hydro-geological characteristics of a debris landslide in the Wenchuan earthquake area [J]. Engineering Geology, 2017, 219: 52-63. [Baidu Scholar]
ULLAH F, SU L J, ALAM M, et al. Landslide stability investigation and subsurface deformation mapping by optimizing low-frequency GPR: A mega rainfall susceptible landslide case study (Gilgit Baltistan, Pakistan) [J]. Bulletin of Engineering Geology and the Environment, 2022, 81(9): 373. [Baidu Scholar]
DERIE B M. Integration of geophysical methods for groundwater exploration in hard rock areas: Application to Alla Valley, Eritrea, NE Africa [D]. Loughborough: Loughborough University, 2011. [Baidu Scholar]
POPOOLA O I, ADENUGA O A. Determination of leachate curtailment capacity of selected dumpsites in Ogun State southwestern Nigeria using integrated geophysical methods [J]. Scientific African, 2019, 6: e00208. [Baidu Scholar]
LAPENNA V, PERRONE A. Time-lapse electrical resistivity tomography (TL-ERT) for landslide monitoring: Recent advances and future directions [J]. Applied Sciences, 2022, 12(3): 1425. [Baidu Scholar]
FALAE P O, DASH R K, KANUNGO D P, et al. Interpretation on water seepage and degree of weathering in a landslide based on pre- and post-monsoon electrical resistivity tomography [J]. Near Surface Geophysics, 2021, 19(3): 315-333. [Baidu Scholar]
ARAUJO S, GUZMÁN O, GUAMÁN A, et al. Seismic refraction tomography in San Luis, headward Coca River erosion zone [J]. Journal of Applied Geophysics, 2023, 212: 104981. [Baidu Scholar]
WAGNER F M, UHLEMANN S. An overview of multimethod imaging approaches in environmental geophysics [J]. Advances in Geophysics, 2021, 62: 1-72. [Baidu Scholar]
SIGDEL A, ADHIKARI R K. Application of Electrical Resistivity Tomography (ERT) survey for investigation of the landslide: A case study from Taprang landslide, Kaski district, west-central Nepal [J]. Journal of Nepal Geological Society, 2020, 60: 103-115. [Baidu Scholar]
PASIERB B, GRODECKI M, GWÓŹDŹ R. Geophysical and geotechnical approach to a landslide stability assessment: A case study [J]. Acta Geophysica, 2019, 67(6): 1823-1834. [Baidu Scholar]
KAMIŃSKI M, ZIENTARA P, KRAWCZYK M. Electrical resistivity tomography and digital aerial photogrammetry in the research of the “Bachledzki Hill” active landslide - in Podhale (Poland) [J]. Engineering Geology, 2021, 285: 106004. [Baidu Scholar]
FALAE P O, KANUNGO D P, CHAUHAN P K S, et al. Electrical resistivity tomography (ERT) based subsurface characterisation of Pakhi Landslide, Garhwal Himalayas, India [J]. Environmental Earth Sciences, 2019, 78(14): 1-18. [Baidu Scholar]
ASGHAR A, SU L J, ZHAO B, et al. Integrating predictive modeling techniques with geospatial data for landslide susceptibility assessment in northern Pakistan [J]. Journal of Mountain Science, 2023, 20(9): 2603-2627. [Baidu Scholar]
ALI A, FAISAL S, REHMAN K, et al. Tectonic imprints of the Hazara Kashmir Syntaxis on the Northwest Himalayan fold and thrust belt, North Pakistan [J]. Arabian Journal of Geosciences, 2015, 8(11): 9857-9876. [Baidu Scholar]
QASIM M, TANOLI J I, AHMAD L, et al. First U-Pb detrital zircon ages from Kamlial formation (Kashmir, Pakistan): Tectonic implications for Himalayan Exhumation[J]. Minerals, 2022, 12(3): 298. [Baidu Scholar]
FU R S, HUANG J H, XU Y M, et al. Numerical simulation of the collision between Indian and Eurasian Plates and the deformations of the present Chinese continent [J]. Acta Seismologica Sinica, 2000, 13(1): 1-7. [Baidu Scholar]
SAKAWAT HOSSAIN M, SHARIF HOSSAIN KHAN M, ABDULLAH R, et al. Tectonic development of the Bengal Basin in relation to fold-thrust belt to the east and to the north [M]//BISWAL T, RAY S, GRASEMANN B. Structural geometry of mobile belts of the Indian subcontinent. Cham: Springer, 2020: 91-109. [Baidu Scholar]
KHAN M A, BASHARAT M, RIAZ M T, et al. An integrated geotechnical and geophysical investigation of a catastrophic landslide in the Northeast Himalayas of Pakistan [J]. Geological Journal, 2021, 56(9): 4760-4778. [Baidu Scholar]
PMD. Pakistan Meteorological Department [EB/OL]. https://www.pmd.gov.pk/en/. [Baidu Scholar]
VALKANIOTIS S, PAPATHANASSIOU G, GANAS A. Mapping an earthquake-induced landslide based on UAV imagery; case study of the 2015 Okeanos landslide, Lefkada, Greece [J]. Engineering Geology, 2018, 245: 141-152. [Baidu Scholar]
HUANG F M, CHEN L X, YIN K L, et al. Object-oriented change detection and damage assessment using high-resolution remote sensing images, Tangjiao Landslide, Three Gorges Reservoir, China [J]. Environmental Earth Sciences, 2018, 77(5): 183. [Baidu Scholar]
ROCSCIENCE. DIPS version 6.0, interactive analysis of orientation based geological data [EB/OL]. [2023-03-12]. https://www.rocscience.com/software/dips. [Baidu Scholar]
SARDANA S, VERMA A K, VERMA R, et al. Rock slope stability along road cut of Kulikawn to Saikhamakawn of Aizawl, Mizoram, India [J]. Natural Hazards, 2019, 99(2): 753-767. [Baidu Scholar]
WEI X S, FAN W, CHAI X Q, et al. Field and numerical investigations on triggering mechanism in typical rainfall-induced shallow landslides: A case study in the Ren River Catchment, China [J]. Natural Hazards, 2020, 103(2): 2145-2170. [Baidu Scholar]
DAILY W, RAMIREZ A, BINLEY A, et al. Electrical resistance tomography [J]. The Leading Edge, 2004, 23(5): 438-442. [Baidu Scholar]
JIANG L C, TIAN G, WANG B B, et al. Application of three-dimensional electrical resistivity tomography in urban zones by arbitrary electrode distribution survey design [J]. Journal of Applied Geophysics, 2021, 194: 104460. [Baidu Scholar]
PALACKY G J. Resistivity characteristics of geologic targets [M]//NABIGHIAN M N. Electromagnetic methods in applied geophysics. Houston: Society of Exploration Geophysicists, 1988: 52-129. [Baidu Scholar]
DAFALLA M, ALFOUZAN F. Electrical resistivity tomography of a gypsiferous subsurface soil: Geotechnical detection of a geoenvironmental phenomenon [J]. Journal of King Saud University - Science, 2023, 35(4): 102595. [Baidu Scholar]
TONGKELES P V, SURYANTINI, PRATAMA A B. The application of electrical resistivity tomography using wenner-schlumberger arrays configuration to identify the geological structure in kancah warm spring, West Java Indonesia [J]. IOP Conference Series: Earth and Environmental Science, 2022, 1047(1): 012015. [Baidu Scholar]
NIAZ A, KHAN M R, IJAZ U, et al. Determination of groundwater potential by using geoelectrical method and petrographic analysis in Rawalakot and adjacent areas of Azad Kashmir, sub-Himalayas, Pakistan [J]. Arabian Journal of Geosciences, 2018, 11(16): 468. [Baidu Scholar]
ABIDIN M Z, SAAD R, AHMAD F, et al. Seismic refraction investigation on near surface landslides at the Kundasang area in Sabah, Malaysia [J]. Procedia Engineering, 2012, 50: 516-531. [Baidu Scholar]
BASHARAT M, RIAZ M T, JAN M Q, et al. A review of landslides related to the 2005 Kashmir Earthquake: Implication and future challenges [J]. Natural Hazards, 2021, 108(1): 1-30. [Baidu Scholar]
RÓŻYCKA M, JANCEWICZ K, MIGOŃ P, et al. Tectonic versus rock-controlled mountain fronts- Geomorphometric and geostatistical approach (Sowie Mts., Central Europe) [J]. Geomorphology, 2021, 373: 107485. [Baidu Scholar]
KUSÁK M. Application of fractal and multifractal analysis on Blue Nile drainage patterns in the morphostructural analysis of the Ethiopian Highlands, Ethiopia [J]. Progress in Physical Geography: Earth and Environment, 2022, 46(3): 357-370. [Baidu Scholar]
REED M, KITE S. Peripheral gully and landslide erosion on an extreme anthropogenic landscape produced by mountaintop removal coal mining [J]. Earth Surface Processes and Landforms, 2020, 45(9): 2078-2090. [Baidu Scholar]
LO P C, LO W, CHIU Y C, et al. Movement characteristics of a creeping slope influenced by river erosion and aggradation: Study of Xinwulü River in southeastern Taiwan [J]. Engineering Geology, 2021, 295: 106443. [Baidu Scholar]
BIBI M, WAGREICH M, IQBAL S, et al. Regional sediment sources versus the Indus River system: The Plio-Pleistocene of the Peshawar Basin (NW-Pakistan) [J]. Sedimentary Geology, 2019, 389: 26-41. [Baidu Scholar]
SINGH P K, SINGH K K, SINGH T N. Slope failure in stratified rocks: A case from NE Himalaya, India [J]. Landslides, 2017, 14(4): 1319-1331. [Baidu Scholar]
IMANI P, TIAN G, HADILOO S, et al. Application of combined electrical resistivity tomography (ERT) and seismic refraction tomography (SRT) methods to investigate Xiaoshan District landslide site: Hangzhou, China [J]. Journal of Applied Geophysics, 2021, 184: 104236. [Baidu Scholar]
NAGAIAH E, SONKAMBLE S, CHANDRA S. Electrical geophysical techniques pin-pointing the bedrock fractures for groundwater exploration in granitic hard rocks of Southern India [J]. Journal of Applied Geophysics, 2022, 199: 104610. [Baidu Scholar]
GAN J J, ZHANG Y X, LIU X. An application of the high-density electrical resistivity method for detecting slide zones in deep-seated landslides in limestone areas [J]. Journal of Applied Geophysics, 2020, 177: 104013. [Baidu Scholar]
SAMYN K, TRAVELLETTI J, BITRI A, et al. Characterization of a landslide geometry using 3D seismic refraction traveltime tomography: The La Valette landslide case history [J]. Journal of Applied Geophysics, 2012, 86: 120-132. [Baidu Scholar]
BLIKRA L H. The Åknes rockslide, Norway [M]//CLAGUE J J, Stead D. Landslides: Types, mechanisms and modeling. Cambridge: Cambridge University Press, 2013. [Baidu Scholar]
STROM A. Mechanism of stratification and abnormal crushing of rockslide deposits [C]//Proc. 7th International IAEG Congress. Balkema Rotterdam, 1994. [Baidu Scholar]
STEAD D, WOLTER A. A critical review of rock slope failure mechanisms: The importance of structural geology [J]. Journal of Structural Geology, 2015, 74: 1-23. [Baidu Scholar]
HUANG D, MA H, HUANG R Q, et al. Deep-seated toppling deformations at the dam site of the Miaowei Hydropower Station, Southwest China [J]. Engineering Geology, 2022, 303: 106654. [Baidu Scholar]
CALCATERRA D, GILI J A, IOVINELLI R. Shallow landslides in deeply weathered slates of the Sierra de Collcerola (Catalonian Coastal Range, Spain) [J]. Engineering Geology, 1998, 50(3/4): 283-298. [Baidu Scholar]
JAISWAL A, VERMA A K, SINGH T N. Evaluation of slope stability through rock mass classification and kinematic analysis of some major slopes along NH-1A from Ramban to Banihal, North Western Himalayas [J]. Journal of Rock Mechanics and Geotechnical Engineering, 2023 [Baidu Scholar]
SARDANA S, VERMA A K, SINGH A, et al. Comparative analysis of rockmass characterization techniques for the stability prediction of road cut slopes along NH-44A, Mizoram, India [J]. Bulletin of Engineering Geology and the Environment, 2019, 78(8): 5977-5989. [Baidu Scholar]
AECOM A. Spon, s civil engineering and highway works price book 2020 [M]. Florida: CRC Press, 2019. [Baidu Scholar]