Slope Hazard Research Articles

3D surface change detection of slope using 3D point cloud based on construction of double surface

Aiming at the complex geological conditions of slopes and the difficulty of manual investigation, this paper proposes a method of constructing double surface based on 3D point cloud data to estimate the depth of slope deformation and disaster analysis. Terrestrial Laser Scanner is utilized to collect the slope point cloud data. Through the construction of double surface to simulate the original slope, the deformation depth is estimated and the depth data are fused into the point cloud to realize the automatic identification of slope deformation disaster and the calculation of deformation depth, and provide the deformation depth map. The shortcomings of the traditional Multiscale Model and Model Point Cloud Comparison (M3C2) algorithm, which needs to capture multiple time periods of point cloud data for calculation can be overcome. And there is no need to recognize the segmentation of the slope point cloud. The study results show that the maximum relative error of slope deformation is 10.82% in slope deformation. The proposed method is suitable for detecting slope hazards in various scenarios, providing a basis for further analysis and the development of effective erosion control measures. It introduces a new technology for daily monitoring of slope deformations and can be extended to drone-based LiDAR applications.

Spatial Multi Criteria Analysis for Evaluation of Residential Land in South Jambi, Jambi City

The land is a landscape on the earth's surface, dynamic to changes, such as converting to settlements. Settlement is driven by changes in population, the greater the population, the greater the need for land to be converted into housing. Based on data from 2018 to 2022, there has been an increasing population in the South Jambi sub-district, which is a strong indication of residential development. This research aims to evaluate the suitability of settlements in the South Jambi sub-district in 2022, using five variables namely, distance from the road, distance from the river, slope, soil type, and flood hazard index. The method of analysis uses the Spatial Multi-Criteria Analysis (SMCA) method. The research results show that the South Jambi sub-district is dominated by the suitable criteria of 568.0 hectares or 86.4%, very suitable criteria obtain 5.8 hectares or 0.9%, and somewhat suitable areas of 80.8 hectares or 12.3%. This means that the South Jambi area has a relatively high level of suitability for settlement. It is hoped that these results can provide information for various stakeholders in determining areas that are suitable for residential development, especially those that are at risk of flooding.

Assessment of the stress-strain state of slopes in landslide-prone areas where critical infrastructure facilities are located

Purpose. Ensure the integrity of landslide-prone areas through a developed method for assessing the stress-strain state of slopes based on seismic wave registration. The methods. To solve these tasks, the following steps were conducted: calculation of shear stresses and relative deformations of the landslide-prone soil area; registration of seismic vibrations using a MiniMateplus seismograph, determining the amplitudes of mass vibration velocities and frequency characteristics by components (tangential, vertical, radial), and identification of critical points based on shear stress magnitudes and relative deformations that are close to or exceed critical values. Findings. Through the registration of frequency characteristics at specified distances along the entire profile, it is possible not only to assess the hazard level of soil slopes at each point but also to create conditions ensuring necessary stability against additional special loads. The originality. The study introduces a method for monitoring landslide-prone areas based on seismic data analysis. For the first time, the dependency of stress-strain states of slopes in landslide-prone areas on the impact of amplitude frequencies of multiple stepwise free-fall drops of a load (artificial shock) is established through the registration of artificially induced seismic waves. The method considers only those shear stresses and relative deformations whose magnitudes are close to or exceed critical values within the same frequency range. It has been determined that resonance phenomena occur at specific frequencies, which can initiate landslide processes. The slope stability assessment method has further evolved to account not only for the current state of soil slope hazards but also to ensure stability against additional dynamic loads. Practical implementation. Experimental studies have established that to ensure the seismic resistance of critical infrastructure objects, it is necessary to consider not only the mass vibration velocity of soil particles but also the frequency characteristics of the object itself.

Shape-from-shading Refinement of LOLA and LROC NAC Digital Elevation Models: Applications to Upcoming Human and Robotic Exploration of the Moon

The Lunar Reconnaissance Orbiter (LRO) has returned a wealth of remotely sensed data of the Moon over the past 15 years. As preparations are under way to return humans to the lunar surface with the Artemis campaign, LRO data have become a cornerstone for the characterization of potential sites of scientific and exploration interest on the Moon's surface. One critical aspect of landing site selection is knowledge of topography, slope, and surface hazards. Digital elevation models derived from the Lunar Orbiter Laser Altimeter (LOLA) and Lunar Reconnaissance Orbiter Camera (LROC) instruments can provide this information at scales of meters to decameters. Shape-from-shading (SfS), or photoclinometry, is a technique for independently deriving surface height information by correlating surface reflectance with incidence angle and can theoretically approach an effective resolution equivalent to the input images themselves, typically better than 1 m per pixel with the LROC Narrow Angle Camera (NAC). We present a high-level, semiautomated pipeline that utilizes preexisting Ames Stereo Pipeline tools along with image alignment and parallel processing routines to generate SfS-refined digital elevation models using LRO data. In addition to the present focus on the lunar south pole with Artemis, we also demonstrate the usefulness of SfS for characterizing meter-scale lunar topography at lower equatorial latitudes.

Application of UAV 3D Point Cloud Data in Highway Slope Disaster Investigation

The safety and stability of highway slopes have always been critical concerns in highway management and maintenance. However, mountain road slopes, characterized by their small scale, large quantity, and complex geological conditions, pose challenges for effective deformation detection, putting significant pressure on highway management and maintenance. To address the difficulty in identifying hidden hazards of highway slopes in mountainous areas, this study proposes the use of unmanned aerial vehicle (UAV) closed-range photogrammetry technology for slope inspection. The M3C2 (Multiscale Model-to-Model Cloud Comparison) algorithm is employed to accurately calculate differences in multi-phase three-dimensional point cloud data, enabling the detection of overall slope deformation with centimeter-level precision. Field verification conducted on a highway slope in Qingtian County, Zhejiang Province, demonstrated the applicability of UAV 3D point cloud data in investigating highway slope hazards, thereby enhancing inspection efficiency and quality and providing technical support for highway management and maintenance.

Particle crushing and critical state of volcanic pumice – 2018 Hokkaido Eastern Iburi Earthquake

Volcanic pumice, with special characteristics such as crushable particles and high water retention, is distributed throughout Japan and serves as the source layer for slope hazards characterised by post-failure gentle slope flows and long-distance flows. The aim of this study is to determine the relationship between the crushing characteristics and the mechanical properties of porous pumice, which often contributes to such disasters. As the porous pumice material, Ta-d pumice, which caused numerous slope disasters during the 2018 Hokkaido Eastern Iburi Earthquake in Japan, was collected and subjected to a series of triaxial compression tests. The grain size distribution of the pumice before all the tests was adjusted to be uniform, and the amount of crushing was quantified by measuring the grain size distribution after the tests. The results suggest that the critical state and isotropic consolidation of porous pumice can be systematically expressed in a three-dimensional space with the axes of the void ratio, mean effective stress, and degree of particle crushing. Furthermore, a gentle slope disaster with an inclination of less than 21°, that had occurred at the site from which the Ta-d pumice was collected, was discussed in terms of its flow potential, showing that the flow distance can be adequately explained.

Slope stability prediction based on GSOEM-SV: A mobile application practicably deploy in engineering verification

Slope stability evaluation is a complex and uncertain system problem, and carrying out slope stability prediction is the prerequisite and foundation for slope disaster prevention. In order to achieve fast and accurate prediction of slope stability, this paper considers height, total slope angle, unit weight, cohesion, internal friction angle, and pore water pressure ratio as input features and proposes an intelligent slope stability prediction method based on grid search optimization ensemble learning model by soft voting (GSOEM-SV). First, 390 sets of on-site data were collected to form a dataset, and analyses including correlation coefficients, density estimates, and box lines were carried out. Then, the grid search optimization algorithm is used to optimize the hyperparameters of five algorithms—Gradient Boosting Decision Trees, Light Gradient Boosting Machine, Categorical Boosting, Support Vector Machine, and Random Forest, and integrates them through soft voting. Furthermore, this paper optimizes the hyperparameters of the above five algorithms based on grid search, particle swarm and simulated annealing algorithms, builds 15 improved models and 2 ensemble models and conducts comparison. The results reveal that the GSOEM-SV has the highest slope stability prediction accuracy, up to 91 %, the area under the curve (AUC) is 0.950, and its F1 score 0.917, which are better than the 15 improved and 2 integrated models. In addition, a set of slope stability prediction app based on uni-app is developed in the paper. It provides a technical foundation and an open and shareable information service platform for slope hazard prediction in geotechnical engineering.

Displacement Prediction Method for Bank Landslide Based on SSA-VMD and LSTM Model

Landslide displacement prediction is of great significance for the prevention and early warning of slope hazards. In order to enhance the extraction of landslide historical monitoring signals, a landslide displacement prediction method is proposed based on the decomposition of monitoring data before prediction. Firstly, based on the idea of temporal addition, the sparrow search algorithm (SSA) coupled with the variational modal decomposition (VMD) algorithm is used to decompose the total landslide displacement into trend item, periodic item and random item; then, the displacement values of the subitems are fitted by using the long and short-term memory (LSTM) neural network, and the predicted cumulative landslide displacement is obtained by adding up the predicted values of the three subsequences. Finally, the historical measured data of the Shuping landslide is taken as an example. Considering the effects of seasonal rainfall and reservoir water level rise and fall, the displacement of this landslide is predicted, and the prediction results of other traditional models are compared. The results show that the landslide displacement prediction model of SSA-VMD coupled with LSTM can predict landslide displacement more accurately and capture the characteristics of historical signals, which can be used as a reference for landslide displacement prediction.

The Influence of Rainfall and Evaporation Wetting–Drying Cycles on the Open-Pit Coal Mine Dumps in Cam Pha, Quang Ninh Region of Vietnam

Among the slope hazards caused by rainfall, not all of them occur directly during storm washout, and the wetting–drying cycles’ effect on the rainfall–evaporation process is an important cause of shallow slope instability. In this study, taking the slope of the open-pit coal mine dumps in Cam Pha, in the Quang Ninh region of Vietnam, as the research object, we carry out experiments on the physical properties of the rock body under different wetting–drying cycles, as well as numerical analyses. The results show that the wetting–drying cycles significantly affect the physical and mechanical parameters and permeability of the rock body. In the process of the wetting–drying cycle, a transient saturated zone occurs on the surface of the slope, and the range of the unsaturated zone inside the slope body decreases with the increase in the number of wetting–drying cycles. Moreover, the infiltration line keeps moving downward, but the rate of downward movement is slowed down by the decrease in the gradient of matrix suction affected by rainfall. Under the influence of the wetting–drying cycles, the slope displacement, plastic zone, and maximum shear strain increment range gradually approach the slope surface with the wetting–drying cycles, and the displacement peak gradually increases. A dump is a site for the centralized discharge of mining waste, formed by the crushing and stockpiling of the original rock formation. Bang Nau is the name of the dump considered in this study. After multiple rainfall events, the slope stability under five wetting–drying cycles decreases from 1.721 to 1.055, and the landslide mode changes from a whole landslide to a single-step shallow landslide, with a certain landslide risk. It is necessary to strengthen the slope stability as the landslide risk is very high, and it is necessary to strengthen the monitoring and inspection of the slope.

Analysis of the application of BIM combined with GIS in engineering digital management

Abstract This study centers on the application of digital intelligence technology in project management, takes the geohazard project in Z area as the research object, and evaluates and predicts the grade of the danger of slope disaster and mudslide disaster in this area. The study begins with an in-depth analysis of the integrated fusion of BIM and GIS technologies. The integrated assessment and prediction model of geologic hazards was constructed using fuzzy comprehensive evaluation and support vector machine algorithm. The study unfolded the analysis of the hazard class and risk prediction of geohazards. The results showed that most of the hazard classes in slope hazards were assessed as low danger, accounting for 33.33%. Meanwhile, about 70% of the mudslide hazards were assessed to have a low to medium hazard rating. Regarding risk prediction, the prediction accuracy of slope and mudslide hazards reached 89% and 90%, respectively. In addition, the detection rate of all geohazards in the ROC (receiver operating characteristic) curve was above 85%, while the false alarm rate remained between 14% and 22%. This result verifies the accuracy of the model in geohazard risk prediction. The comprehensive assessment and prediction model proposed in this paper will help the risk assessment and prediction of geohazards, provide adequate technical support for managing disaster information, and enhance the science and rationality of disaster prevention and mitigation.

Case study of Block 1, Highland Towers Condominium collapsed in Taman Hillview, Ulu Klang, Selangor, Malaysia on 11th December 1993

Landslide has become the primary focus in slope engineering as the case increases. Most landslides are resulted from an unknown confluence, and most occur on slopes created by humanity. Highland Towers were built between 1976 and 1979, and its occupants were primarily first and middle-class people. There is a steep hill behind the three blocks. The main draws here are the natural scenery and panoramic vista of Kuala Lumpur. This case study investigates what factors led to Block 1, Highland Towers condominium’s collapse on 11th December 1993 at 1.35 p.m. using reliability analysis approaches and human fault impact factors. The Block 1 collapse is caused by an unstable pile foundation. The engineers incorrectly estimated the horizontal load design, causing surcharge loads to be created by the downhill forward movement when the rotating retrogressive slide happens. However, several precautions may be taken to protect the building structures from landslide. It is common knowledge that structural reliability analysis yields failure probabilities that are not considered for human faults. Inadequate drainage, collapse of retaining wall, and rail piling foundation are all plausible explanations for this landslide initiation. Thus, combining structural and human reliability analysis are recommended to mitigate landslide, including slope hazards.

Drone Photogrammetry for Accurate and Efficient Rock Joint Roughness Assessment on Steep and Inaccessible Slopes

The roughness of rock joints exerts a substantial influence on the mechanical behavior of rock masses. In order to identify potential failure mechanisms and to design effective protection measures, the accurate measurement of joint roughness is essential. Traditional methods, such as contact profilometry, laser scanning, and close-range photogrammetry, encounter difficulties when assessing steep and inaccessible slopes, thus hindering the safety and precision of data collection. This study aims to assess the feasibility of utilizing drone photogrammetry to quantify the roughness of rock joints on steep and inaccessible slopes. Field experiments were conducted, and the results were compared to those of 3D laser scanning in order to validate the approach’s procedural details, applicability, and measurement accuracy. Under a 3 m image capture distance using drone photogrammetry, the root mean square error of the multiscale model-to-model cloud comparison (M3C2) distance and the average roughness measurement error were less than 0.5 mm and 10%, respectively. The results demonstrate the feasibility and potential of drone photogrammetry for joint roughness measurement challenges, providing a useful tool for practitioners and researchers pursuing innovative solutions for assessing rock joint roughness on precipitous and hazardous slopes.

Analysis of land suitability of clove (Syzygium aromaticum L.) in the humid tropics of South Sulawesi

South Sulawesi is one of largest clove-producing regions in Indonesia. The highest production was obtained in the Luwu, Regency area, but there needs to be data related to the wide distribution of clove development potential, especially in the Bua Ponrang District, the primary producer of clove commodities. Therefore, it is necessary to evaluate the suitability of clove plant land, which can show the area of its development potential in Bua Ponrang District, Luwu Regency. This study aims to analyze the suitability of land in the Bua Ponrang District for cloves, which can become a consideration for agricultural development in Luwu Regency. The method used in this study is a qualitative method with simple limiting factors with soil suitability assesment performed by comparing soil and physical environmental data with the suitability requirements of clove. The sampling method was purposive, conducted for each land unit most representative of the land unit map where clove exists, overlaid with geological maps, slope class maps and land use. The results of the analysis of the actual land suitability class, namely marginally suitable for clove (S3) to the boundary area of 6,222.18 hectares with limiting factors, namely air humidity, drainage, soil depth, total nitrogen (%), base saturation (%), available P (ppm) and slopes (%), which can be increased potential through improvement recommendations such as the addition of organic materials, fertilizers and terracing (conservation). The land suitability class is unsuitable for clove in the 2.570,12 hectares interface with limiting factors for erotion and slope hazard.

The Application of Unmanned Aerial Vehicle (UAV) For Slope Mapping at Gambang Damai Residents, Pahang: A Case Study

This paper highlights the work of slopemapping utilizing the unmanned aerial vehicle (UAV) with its perimeter, area, and volume of particular regions chosen at Gambang Damai Residents in Kuantan Pahang. The location selected was choose because of its proximity to the study area. Slope mapping has traditionally been time-consuming and challenging, especially in hilly areas. This research also aimed to identify potential slope hazards based on slope angle. The accuracy and nature of typical mapping outputs, such as the Digital Elevation Model (DEM) and Digital Orthophoto, depend on high-quality photos that modern UAVs can only capture. These photographs taken by the UAV will be transferred to Agisoft software to generatea complete map of the study area. With the help of Global Mapper, it's easy to measure elements such as the perimeter, area, and volume of selected study areas, which is the main point of this research. The results of the two slopes (slope A and slope B) show that slope B produces a massive volume of 1469.7 m3, whilst slope A generates just 1382.9 m3. Slope A has an enclosed area of 1634.3 m2, which is more significant than slope B's enclosed area of 766.86 m2.Additionally, slope A's perimeter is 162.28 m, more extensive than slope B's 159.45 m. Another result of this research is that researchers and engineers may evaluate potential slope hazards using a contemporary mapping approach by determining their particular slope angles. According to the findings, slope A has an angle of 47.35⁰, while slope B has an angle of 54.75⁰. Both slopes considered to be very steep. In conclusion, using current technology, such as UAVs, is quite beneficial when mapping in geotechnical engineering. Researchers and engineers can gather slope measurements more quickly than with previous traditional approaches by adopting multi-rotor UAV slope mapping.

Multi-scale investigation on the stability of soil–gravel mixture slopes using imaging analyses

Gravel soil slopes are not only prevalent in nature but also are widely used in engineering. Understanding the damage characteristics of gravel soil slopes and preventing slope hazards requires a thorough investigation of the stability and deformation of gravel soil slopes. In this study, the stability and macroscopic deformation of slopes with varying gravel content (GC) were examined using laboratory tests and digital image correlation techniques, and the rock-winding motion on the shear zone was investigated in detail by capturing the relative motion of soil particles and gravels from a micro-scale perspective. In addition, the effects of loading location and slope angle were considered. The results indicated that there are two thresholds of 20 and 70% for the effect of GC on slope ultimate bearing capacity. Gravel soil slope shear damage was primarily caused by the gravel rotation at critical locations. There were at least five rock-inclusive movement patterns in the shear zone, and the primary cause of irregular damage on gravelly soil slopes was the difference in the relative movement of soil particles and gravels. High GC slopes were less sensitive to changes in loading location and slope angle than slopes with low GC.

Implementation of Unmanned Aerial Vehicle (UAV) for Slope Mapping

This paper discusses the applications of unmanned aerial vehicle (UAV) for slope mapping and its important parameters including perimeter, area and volume of certain selected areas at Perumahan Taman Gambang Damai in Kuantan Pahang. This study also focused on determining the potential slope hazard based on slope angle. Modern UAV able to take high quality image which essential for the effectiveness and nature of normal mapping output such as Digital Elevation Model (DEM) and Digital Orthophoto. This photo captured by the UAV will later transfer to Agisoft to generate full map of study area. With the help of Global Mapper, the measurement (perimeter, area and volume) of selected study areas can be determined easily and considered as the main interest in this study. In addition, another outcome of this study is, this modern method of mapping helps researchers and engineers to study the possibility of slope hazard based on their respective slope angle (according to slope classes). In conclusion, modern technology of UAV proves to be very effective for mapping in geotechnical engineering. Slope mapping help researchers and engineers to obtain slope measurement within short period of time compare to previous traditional method.

Hazard assessment framework for statistical analysis of cut slopes using track inspection videos and geospatial information

ABSTRACT Transportation corridors constructed using through- and side-cuts are susceptible to hazardous slope failures, potentially causing infrastructure damage, operational suspensions and loss of life. To monitor the stability of known geohazards at the local scale, geotechnical investigation of each slope is typically performed to calculate a factor of safety. In many corridors, however, this method is labour-intensive due to the quantity of geohazards and statistical methods are instead used to identify hazardous sections. This paper introduces a new slope failure hazard assessment technique, utilising susceptibility mapping of geospatial information and computer vision-based analysis of right-of-way videos recorded by railroad track inspection vehicles, applied to a section of railroad track near Harrisburg, Pennsylvania. Combining these results, an enhanced relative hazard assessment algorithm was formulated. Using the developed framework, geohazards of primary concern were determined which should be prioritised for future geotechnical investigation and remediation efforts.

Distribution Characteristics of the Geoelectric Field in Waste Dump Slopes during the Evolution of Instability Sources under Rainfall Conditions

To study the evolution of geological hazard sources of waste dump slopes under rainfall conditions, a physical model of a rainfall-affected slope was designed. The apparent resistivity of the slope rock and soil mass at different rainfall times was measured via the high-density resistivity method, and the formation process of internal disaster sources of the rainfall-affected slope was obtained. The variation characteristics of the resistivity of the rain-affected slope were analyzed when it had a weak surface and crack development. Based on the three-water model and Maxwell conductivity formula, the evolution process of geological hazard sources of the rainfall-affected slope was summarized. A resistivity response mechanism equation for rainfall-induced slope hazard sources was derived and compared to the Archie formula, verifying the model rationality. The test results showed that the behavior of the rainfall-affected slope conforms to the saturated–unsaturated dynamic cycle process. The apparent resistivity was positively correlated with the development of slope pores and cracks and negatively correlated with the water content in the slope. The apparent resistivity increased during fracture development and decreased during water seepage. In the slope failure and disaster process, the apparent resistivity varies under the coupling effect of crack development and water seepage. During the formation of geological hazard sources, the apparent resistivity abruptly changes and fluctuates. Therefore, according to the abrupt changes and abnormal fluctuations in the apparent resistivity detected, the development of geological hazard sources of slopes can be determined.

Quantitative Estimation of Pipeline Slope Disaster Risk in China

China’s economic development is closely related to oil and gas resources, and the country is investing heavily in pipeline construction. Slope geological hazards seriously affect the long-term safe operation of buried pipelines, usually causing pipeline leakage, property and environmental losses, and adverse social impacts. To ensure the safety of pipelines and reduce the probability of pipeline disasters, it is necessary to predict and quantitatively evaluate slope hazards. While there has been much research focus in recent years on the evaluation of pipeline slope disasters and the stress calculation of pipelines under hazards, existing methods only provide information on the occurrence probability of slope events, not whether a slope disaster will lead to pipeline damage. Taking the 2015 Xinzhan landslide in Guizhou Province, China, as an example, this study used discrete elements to simulate landslide events and determine the risk level and scope for pipeline damage, and then established a pipe-soil coupling model to quantitatively evaluate the impact of landslide hazards for pipelines in medium- and high-risk areas. The results provide a reference for future pipeline disaster prevention and control.

DENDROCHRONOLOGICAL METHODS IN THE STUDY OF GEOMORPHOLOGICAL NATURAL HAZARDS IN THE CARPATHIANS

The specifics of dendrochronological methods in the study of the most common hazardous slope processes are examined: snow avalanches, landslides, rockfalls and debris flows. The dendrogeomorphological methods mainly refer to the study and dating of tree rings of coniferous species (Larix decidua, Picea abies, Pinus cembra, Pinus mugo) and less deciduous species (Fagus sylavatica). In this way, they aim to interpret past events recorded in the structure of the tree rings in terms of their deformations and damage. The most typical signs of response to geomorphological natural hazards are mechanical disturbances including injures, scars and raising ducts on trees, inclination of tree stems, broken brunches and crowns and denudations of roots. Dendrogeomorphological methods are valuable tools for reconstructing hazardous geomorphological processes under conditions of an insufficient stationary monitoring network for natural hazards. Moreover, such methods allow not only dating and thus determining the recurrence of natural hazards, but also spatially determining the coverage of the territory by hazardous geomorphological processes. This function is particularly important This characteristic is particularly important for the assessment of remote regions with complex topography, especially mountainous regions. A retrospective analysis of earlier developments in this field shows the suitability of such methods for the reconstruction of hazardous geomorphological processes in mountainous regions.
 The application of dendrogeomorphological methods in the reconstruction of hazardous geomorphological processes was introduced in geomorphological studies in the 1970s. Most dendrogeomorphological studies on mountain regions are currently being carried out in Switzerland, the Czech Republic, France, Spain, Italy, Poland, Romania and the USA. Dendrogeomorphological methods are among the most important absolute methods for the identification and reconstruction of landslides, especially those that have occurred in recent centuries. Landslides, like other hazardous geomorphological processes, particularly affect the growth of trees, which is reflected in their impaired growth. Dendrogeomorphological methods are also considered reliable to reconstruct, predict and mitigate the consequences of mudflows.
 Czech, Polish and Romanian Carpathians are the common objects of the dendrogeomorphological studies in the Carpathians. Here, the reconstruction of snow avalanches is one of the most common dendrogeomorphological research in the Carpathians. At the same time, while in the parts of the Carpathians located in the other countries, such studies are active, in the Ukrainian Carpathians, still with insufficient possibilities for automated monitoring, such studies are scarce. The authors have already successfully tested such methods for the reconstruction of snow avalanches in the Ukrainian Carpathians (Chornohora and Borzhava massifs) while learning from Romanian experience in the Rodna and Maramuresh massifs of Eastern Carpathians. The dendrochronological results are congruent to stationary snow avalanche observations, evidence of residents and relevant services. The perspective of the authors’ studies in the field is related to the further testing of dendrochronological methods in the reconstruction of other dangerous geomorphological processes (landslides, rockfalls, mudslides) in the Eastern Carpathians on the example of the Chornohora and Poloninsky massifs using samples of damaged tree-rings of Picea abies, Abies alba, and Fagus sylvatica.
 Key words: dendrogeomorhological methods, geomorphological natural hazards, Carpathians, snow avalanches, tree rings.