Hazardous Phenomena Research Articles

The Probability of Landslides in the Territorial Administrative Unit of Cuzdrioara.

The location of the Cuzdrioara Territorial Administrative Unit in the northern part of the Transylvanian Basin, at the meeting position of the Someșan Plateau and the Someșului Mare Corridor, indicates the existence of a fluvial relief. It is characterized by the presence of an alternation of valley passes and interfluvial passes, between which the connection is made through slopes. Their presence, to which are added the particularities of the geological substratum and land use, indicates the existence of some surfaces susceptible to landslides. To identify them, GIS techniques were used, which implied processing the existing information to obtain the map of landslide probability. It will be one of the necessary tools for the management of the hazardous phenomena created by landslides. At the same time, the information obtained can be used by decision-makers in the current and future urban planning actions.

New Machine Learning Ensemble for Flood Susceptibility Estimation

Floods are among the most severe natural hazard phenomena that affect people around the world. Due to this fact, the identification of zones highly susceptible to floods became a very important activity in the researcher’s work. In this context, the present research work aimed to propose the following 3 novel ensembles to estimate the flood susceptibility in Putna river basin from Romania: UltraBoost-Weights of Evidence (U-WOE), Stochastic Gradient Descending-Weights of Evidence (SGD-WOE) and Cost Sensitive Forest-Weights of Evidence (CSForest-WOE). In this regard, a sample of 132 flood locations and 14 flood predictors was used as input datasets in the 3 aforementioned models. The modeling procedure performed through a ten-fold cross-validation method revealed that the SGD-WOE ensemble model achieved the highest performance in terms of ROC Curve-AUC (0.953) and also in terms of Accuracy (0.94). The slope and distance from river flood predictors achieved the highest importance in terms of flood susceptibility genesis, while the aspect, TPI, hydrological soil groups, and plan curvature have the lowest influence in terms of flood occurrence. The area with high and very high susceptibility represents between 21% and 24% of the Putna river basin from Romania.

Probabilistic volcanic hazard assessment at an active but under-monitored volcano: Ceboruco, Mexico

A probabilistic volcanic hazard assessment (PVHA) for Ceboruco volcano (Mexico) is reported using PyBetVH, an e-tool based on the Bayesian Event Tree (BET) methodology. Like many volcanoes, Ceboruco is under-monitored. Despite several eruptions in the late Holocene and efforts by several university and government groups to create and sustain a monitoring network, this active volcano is monitored intermittently rather than continuously by dedicated groups. With no consistent monitoring data available, we look at the geology and the eruptive history to inform prior models used in the PVHA. We estimate the probability of a magmatic eruption within the next time window (1 year) of ~ 0.002. We show how the BET creates higher probabilities in the absence of monitoring data, which if available would better inform the prior distribution. That is, there is a cost in terms of higher probabilities and higher uncertainties for having not yet developed a sustained volcano monitoring network. Next, three scenarios are developed for magmatic eruptions: i) small magnitude (effusive/explosive), ii) medium magnitude (Vulcanian/sub-Plinian) and iii) large magnitude (Plinian). These scenarios are inferred from the Holocene history of the volcano, with their related hazardous phenomena: ballistics, tephra fallout, pyroclastic density currents, lahars and lava flows. We present absolute probability maps (unconditional in terms of eruption size and vent location) for a magmatic eruption at Ceboruco volcano. With PyBetVH we estimate and visualize the uncertainties associated with each probability map. Our intent is that probability maps and uncertainties will be useful to local authorities who need to understand the hazard when considering the development of long-term urban and land-use planning and short-term crisis management strategies, and to the scientific community in their efforts to sustain monitoring of this active volcano.

GIS-Based Binary Logistic Regression for Landslide Susceptibility Mapping in the Central Part of Pacitan Regency, East Java, Indonesia

Landslides are among the most hazardous phenomena in the Pacitan Regency, especially in the Sub-Districts of Pacitan, Kebonagung, Tulakan, and Arjosari, where the landslide mainly occurs. Strategic planning through GIS analysis can be applied to minimize potential losses and strengthen resilience to natural disasters. This study combined the binary logistic regression method and GIS to map the landslide susceptibility in the Sub-Districts of Pacitan, Kebonagung, Tulakan, and Arjosari, Pacitan Regency, East Java, Indonesia. An inventory map of 293 landslides was randomly divided into 80%-20% basis for model training and testing. Fourteen landslide conditioning factors including elevation, slope, aspect, plan curvature, profile curvature, topographic wetness index (TWI), land use, proximity to roads, proximity to rivers, proximity to faults, soil types, lithology, normalized difference vegetation index (NDVI) and rainfall was used. Analysis shows that fourteen landslide conditioning factors are contributed to 22.7%. The analysis shows that 36.59% or 17,734.95 Ha of the study area has high-very high susceptibility. The area of high-very high susceptibility is mainly located in the western part of the study area. It is related to high slope value and volcanic and sediment-volcanic rock from the formation of Arjosari and Mandalika. The validation using AUROC showed an excellent fit of 0.806. Validation of susceptibility map using testing data showed 0.711 accuracy value and 0.694 precision value, which meant that the susceptibility model was quite sensible. This information could be helpful to support the local government for hazard mitigation efforts.

Knowledge-driven recognition methodology for electricity safety hazard scenarios

This study proposes a knowledge-driven recognition methodology for electrical safety hazard scenarios to address the inability of maintenance personnel to accurately identify safety hazards and deal with them effectively due to complicated electrical safety hazard scenarios. First, a BERT-BiLSTM-CRF-based safety hazard entity recognition model and ResPCNN-ATT-based safety hazard relation extraction model are designed. The entity recognition and relation extraction in electricity safety hazard records are implemented by them. Then, the knowledge graph of the electricity safety hazard domain is constructed, and the semantic information of scenes provided in the hazard records is incorporated into the relationship constraints among various entities. Finally, an intelligent reasoning model of hazard scenarios based on a knowledge graph of electricity safety hazards is proposed. The hazard scenes and solution measures can be quickly located based on the types of hazard equipment and hazardous phenomena. The proposed approach’s effectiveness and engineering practicality was verified using the accumulated hazard records of a provincial power company.

Geodynamics of the Russian Arctic Shelf and Relief-Forming Processes in the Central Kara Basin

The article deals with the issues of the geodynamic evolution of the Kara–Barents Sea shelf and influence of structure-forming processes on the nature of relief formation. The aggregate data obtained allows us to assume that the relief of the western part of the Russian Arctic formed as a result of polycyclic processes of closing of the Proto-Atlantic, Paleoural, and Iapetus oceans. A systematic analysis of paleogeodynamic reconstructions of the evolution of the continental crust of the Arctic region makes it possible to identify with a high degree of reliability the spatiotemporal patterns of relief formation, predict areas of localization of hazardous phenomena on the seafloor, and substantiate geomorphological criteria for searching for hydrocarbon deposits in shallow bedding.

Spatial structure of the surface heat and cold islands in summer based on Landsat 8 imagery in southern Poland

The intense development of cities and related replacement of vegetated areas with impervious surfaces contributed to the intensification of the urban heat island effect, which is a hazardous phenomenon for humans. In this study, the spatial structure of the surface heat and cold island (SHI and SCI, respectively) in the Górnośląsko-Zagłębiowska Metropolis (GZM), the most urbanized and populated area in Poland, is investigated using four Landsat 8 satellite images recorded in the summers between 2015 and 2019. The satellite images processed to the land surface temperature (LST) and the Corine Land Cover 2018 (CLC 2018) classification were used to calculate indicators of the spatial extent and intensity of SHI and SCI. Their spatial extents in the GZM ranged from 15.4 to 16.4% and 12.2–19.4%, respectively, depending on the analyzed days with a large percentage of the agricultural areas within the SHI boundaries. Therefore, an original approach to delineate the surface urban heat island (SUHI) is proposed. This approach reduced the extent of the GZM SHI by 2.9 to 2.0%, depending on the day. In the GZM, more than 70% of the SHI consisted of discontinuous urban fabric and industrial or commercial units. Heat island indices recognized the spatial structure of SUHI as an archipelago. Vegetation and crops constituted 90% of the SCI, and these land cover types explained most of the SCI variability over time compared to the SHI. The vegetation expanded, and its characteristics continually changed during the summer season. Moreover, vegetation was more sensitive to changes in meteorological conditions than impervious surfaces. The LST was most strongly correlated with the percentage share of artificial areas in the GZM districts. In turn, the correlations between LST and forest and semi natural areas were much weaker when precipitation occurred before the recording of satellite images. The intensity of SUHI in the GZM ranged from approximately 5 to 9 °C depending on the date and the method of identifying urban and nonurban areas.

The imaginary eruption – volcanic activity through kids' eyes

Abstract. Strategies of risk mitigation become effective when citizens facing hazardous phenomena adopt rational behaviours that contribute to the lowering of the risk. This is more likely to occur when endangered communities share a widespread understanding of natural phenomena and their impacts. To reach this goal, educational and outreach materials are often organised around the descriptions of the natural process and its effects. Unfortunately, however, receiving correct information does not automatically grant the adoption of safe behaviours. Our teaching efforts may fail because of pre-existing biases, beliefs, and misconceptions. The identification of these biases is important to plan effective educational campaigns capable of providing the concepts that are needed to actually inform citizens' choices about natural hazards. In this work, we present the results of an unconventional workshop on volcanic risk that we proposed to primary and secondary schools (aged 6–13) in Italy. The workshop is meant to explore the mental models that kids and youngsters have about volcanic eruptions, and it takes the form of a creative exercise. We asked the pupils to write and illustrate a story in four frames, describing the onset and outcome of an imaginary eruption. All stories were then presented to the class and always provided useful hints to spark discussion about volcanic processes and hazards. As a whole, the collected stories provide a multifaceted description of volcanic eruptions and their potential impacts as imagined by the kids. A careful analysis of this material provided several insights useful to improve future outreach material and educational plans. The workshop is simple to reproduce, even remotely, and could easily be extended to different types of hazards. While very simple to organise, this approach grants the secure engagement of most participants and offers a very different perspective on pupils' understanding of natural phenomena.

Statistical Calibration of Long-Term Reanalysis Data for Australian Fire Weather Conditions

Abstract Reconstructed weather datasets, such as reanalyses based on model output with data assimilation, often show systematic biases in magnitude when compared with observations. Postprocessing approaches can help adjust the distribution so that the reconstructed data resemble the observed data as closely as possible. In this study, we have compared various statistical bias-correction approaches based on quantile–quantile matching to correct the data from the Twentieth Century Reanalysis, version 2c (20CRv2c), with observation-based data. Methods included in the comparison utilize a suite of different approaches: a linear model, a median-based approach, a nonparametric linear method, a spline-based method, and approaches that are based on the lognormal and Weibull distributions. These methods were applied to daily data in the Australian region for rainfall, maximum temperature, relative humidity, and wind speed. Note that these are the variables required to compute the forest fire danger index (FFDI), widely used in Australia to examine dangerous fire weather conditions. We have compared the relative errors and performances of each method across various locations in Australia and applied the approach with the lowest mean-absolute error across multiple variables to produce a reliable long-term bias-corrected FFDI dataset across Australia. The spline-based data correction was found to have some benefits relative to the other methods in better representing the mean FFDI values and the extremes from the observed records for many of the cases examined here. It is intended that this statistical bias-correction approach applied to long-term reanalysis data will help enable new insight on climatological variations in hazardous phenomena, including dangerous wildfires in Australia extending over the past century.

Investigation into the Trampoline Dynamic Characteristics and Analysis of Double Bounce Vibrations.

Double bounce is an unusual and potentially very hazardous phenomenon that most trampoline users may have experienced, yet few would have really understood how and why it occurs. This paper provides an in-depth investigation into the double bounce. Firstly, the static and dynamic characteristics of a recreational trampoline are analysed theoretically and verified through experiments. Then, based on the developed trampoline dynamic model, double bounce simulation is conducted with two medicine balls released with different time delays. Through simulation, the process of double bounce is presented in detail, which comprehensively reveals how energy is transferred between users during double bounce. Furthermore, the effect of release time delay on double bounce is also presented. Finally, we conducted an experiment which produced similar results to the simulation and validated the reliability of the trampoline dynamic model and double bounce theoretical analysis.

Probabilistic Volcanic Hazard Assessment for National Park Infrastructure Proximal to Taranaki Volcano (New Zealand)

Hazard assessment for infrastructure proximal to a volcanic vent raises issues that are often not present, or not as severe in hazard assessments for more distal infrastructure. Proximal regions are subject to a greater number of hazardous phenomena, and variability in impact intensity increases with the hazard magnitude. To probabilistically quantify volcanic hazard to infrastructure, multiple volcanic hazards and their effects on exposed elements need to be considered. Compared to single-hazard assessments, multi-hazard assessments increase the size and complexity of determining hazard occurrence and magnitude, typically introducing additional uncertainties in the quantification of risk. A location-centred approach, focusing on key locations rather than key hazards, can simplify the problem to one requiring identification of hazards with the potential to affect the location, followed by assessment of the probability of these hazards and their triggering eruptions. The location-centred approach is more compatible to multi-source hazards and allows for different hazard estimation methodologies to be applied as appropriate for the infrastructure type. We present a probabilistic quantification of volcanic hazard using this location centred approach for infrastructure within Te Papakura o Taranaki National Park, New Zealand. The impact to proposed park infrastructure from volcanic activity (originating from Mt. Taranaki) is quantified using a probability chain to provide a structured approach to integrate differing hazard estimation methods with eruption probability estimates within asset lifetimes.This location-centered approach provides quantitative estimates for volcanic hazards that significantly improve volcanic hazard estimates for infrastructure proximal to the Taranaki summit vent. Volcanic mass flows, predominantly pyroclastic surges or block and ash flows, are most likely (probability >0.8) to affect walking tracks if an eruption occurs. The probability of one or more eruption(s) in the next 50 years is estimated at 0.35–0.38. This use of probability chains and a location centered assessment demonstrates a technique that can be applied to proximal hazard assessments globally.

Evaluating the Impact of Explosive Volcanic Eruptions on a Groundwater-Fed Water Supply System: An Exploratory Study in Ponta Delgada, São Miguel (Azores, Portugal)

Tephra fall is among the set of hazardous phenomena associated with volcanic activity that can impact water resources and services. The aim of this paper is to characterize the potential impacts of tephra fall on the groundwater-fed water supply system of Ponta Delgada (São Miguel, Azores) by comparing two scenarios of explosive eruptions. Vulnerability matrices were used to compute indexes, by multiplying the thickness of tephra fall deposits, corresponding to increasing hazard levels, by descriptors of the water supply system, representing the elements at risk. In a worst-case scenario, tephra covers a large area inland, severely constraining the abstraction of water to public supply, as 84.8% of the springs are affected. In 12 springs the expected hazard level is of perturbation (5157 m3/day; 12.1% of the daily abstraction) or damage (16,094 m3/day; 37.8%). The same trend is observed considering the storage capacity, as 75.4% of the reservoirs may be somehow affected. Moreover, 72.4% of the 68,392 inhabitants served by the water supply system will be in a zone where the damage level will be achieved. Results point out to the need of preparedness measures to mitigate consequences of a volcanic crisis over the water supply.

Stability Analysis of a Sprayer UAV with a Liquid Tank with Different Outer Shapes and Inner Structures

The performance of sprayer UAVs largely depends on accurate trajectory control while spraying. A large amount of a liquid payload may create a sloshing effect inside the liquid tank, which may occur largely during hazardous phenomena, such as wind gusts and obstacle avoidance. This all-way sloshing force inside the tank may disturb the UAV’s trajectory by, for example, a displacement from the planned path or collision with an obstacle. A large number of existing sprayer UAVs already carry various-shaped tanks. A UAV’s liquid-sloshing problem must be reduced for existing and future plant protection. Applying suitable methods can achieve these goals and provide better performance. Moreover, various tank models have different structures and capabilities, which must be fixed using a flexible solution. This article proposes a simple baffle solution for all forms of pesticide tanks and compares baffle systems’ impacts using primary shaped tanks. Indoor lab experiments showed the extreme impacts inside the tanks. Outdoor UAV mission experiments provided the practical effectiveness of the tank structures, and primary shaped tank comparison results provided guidance for future UAV pesticide-tank manufacturing. A new baffle ball design is presented for a universal solution. A one-axis linear slider was used for optical observations, an open-source flight controller was used for on-field compliance, and plenty of tests were done to prove the concept and show the efficiency. The flat hexagonal tank and baffle ball system showed better results in both indoor and outdoor experiments.

Study on mechanical characteristics of support system for Shallow-buried Single-Arch subway station in rock stratum

During the construction of shallow-buried single-arch subway station, because of unstable surrounding rock and lack of design experience, failure and hazard phenomena, such as large deformation, collapse and instability of soils/rocks often occur, substantially affecting the safety of tunnel structure and construction. In the case of the Xinggongjie Station subway tunnel, Dalian, Liaoning Province, Northeast China, mechanical and deformation characteristics of support system are analyzed by numerical simulations and in-situ monitoring data. Additionally, comparative analyses are conducted for internal force of arch support in different surrounding rock pressure and in-situ monitoring result. It is concluded that the single-arch subway station usually cannot form a pressure arch characterized by shallow-buried tunnel properties; the double initial support of stacked loaded arch bear full load together in construction process, and the outer initial support bear the main load; the up-step excavation of middle pilot and dismantling temporary support are key processes in the construction control. It is found that the structure will stabilize upon the completion of the stacked loaded arch. The stacked loaded arch structure can control the stratum deformation to an acceptable range; meanwhile, it has certain safety margin and stratum adaptability. The study method and conclusions can provide references for support in-site construction and similar projects and can enrich and improve design method of the large-span single-arch station.

Some aspects of occupational safety at mining enterprises

Introduction.The article discusses the issues of labor protection at mining enterprises. Timely analysis and elaboration of measures to prevent them can reduce the risks of major accidents with a large number of victims.Problem Statement.It is necessary to choose the most effective measures to improve the level of industrial safety at mining enterprises based on a ready-made conceptual model of hazardous phenomena and accidents.Theoretical Part.To solve this problem, the article considers a ready-made conceptual model of hazardous phenomena and accidents that may occur in mines as a result of non-compliance with the requirements of occupational safety and industrial safety of enterprises proposed by A. I. Babenko. The analysis of accidents, risk factors, potential dangerous and harmful production factors at the mining enterprise is carried out. Based on the analysis, the most effective measures to improve the level of industrial safety at mining enterprises are proposed.Conclusions.The article considers the issues regulating labor protection at mining enterprises, as well as it identifies industrial risks and options for their elimination through the organization of measures to ensure industrial safety. Based on the results obtained, the most effective means to reduce the risks of hazardous production situations is the use of multifunctional systems to ensure occupational safety and industrial safety of mining enterprises.

버블기 일본에서 나타난 투기 · 투자의 특징과 그 의미

The purpose of this paper is to explain the cause of the bubble in relation to the Japanese financial system.BRIn the late 1980s, Japan’s bubble emerged as problems with the indirect financial system centered on land-secured loans were exposed under the condition of quantitative easing. A characteristic of a bubble is that the land price and stock price are interconnected and rise at the same time. In the process, companies and households expanded the size of the bubble by focusing on zai-tech.BRThere were very few opinions pointing out the abnormal surge in land prices and stock prices during the bubble process, and the overwhelming majority accepted it as a phenomenon reflecting the strength of the Japanese economy. Such excessive self-confidence spread a different economic view and moral hazard in Japanese society as a whole. In the midst of the spread of monarchist ideology, consumption behavior during the bubble period also showed a different aspect of luxury and diversification than in the previous era.BRAs the bubble burst and the moral hazard phenomena of the bubble period, such as bad loans by banks, were revealed in the process of dealing with the aftereffects, a social atmosphere was formed that denies all the actions of the bubble period, which eventually led to a long-term recession.

Jump Bifurcation Phenomenon During Varying Wind Speeds in Floating Offshore Wind Turbines

Abstract Floating offshore wind turbines (FOWTs) are susceptible to instability which has come to be called negative damping. Conventional land-based wind turbine controllers when used with FOWTs may cause large-amplitude platform pitch oscillations. Most controllers have since been improved to reduce motions due to this phenomenon. In this paper, the motions induced using one of the original controllers are studied. The current study is performed using the coupled time-domain program FAST-SIMDYN that was developed in Marine Dynamics Laboratory (MDL) at Texas A&M University. It can study large-amplitude motions of floating offshore wind turbines. FOWTs use various controller algorithms of operation based on the available wind speed depending on various power output objectives i.e., to either maximize or level out power absorption. It is observed that the transition region for controllers is often chaotic. So, most studies focus on operations away from the transition region below and above the transition wind speeds. Here, we study the transition region using the theoretical insight of nonlinear motion response of structures. This study reveals the presence of a very interesting and potentially hazardous nonlinear phenomenon, bifurcation. This finding could help explain the chaotic motion response that is observed in the transition region of controllers. Understanding the nature and cause of bifurcation could prove very useful for the future design of FOWT controllers.

Integration of DInSAR Time Series and GNSS Data for Continuous Volcanic Deformation Monitoring and Eruption Early Warning Applications

With approximately 800 million people globally living within 100 km of a volcano, it is essential that we build a reliable observation system capable of delivering early warnings to potentially impacted nearby populations. Global Navigation Satellite System (GNSS) and satellite Synthetic Aperture Radar (SAR) document comprehensive ground motions or ruptures near, and at, the Earth’s surface and may be used to detect and analyze natural hazard phenomena. These datasets may also be combined to improve the accuracy of deformation results. Here, we prepare a differential interferometric SAR (DInSAR) time series and integrate it with GNSS data to create a fused dataset with enhanced accuracy of 3D ground motions over Hawaii island from November 2015 to April 2021. We present a comparison of the raw datasets against the fused time series and give a detailed account of observed ground deformation leading to the May 2018 and December 2020 volcanic eruptions. Our results provide important new estimates of the spatial and temporal dynamics of the 2018 Kilauea volcanic eruption. The methodology presented here can be easily repeated over any region of interest where an SAR scene overlaps with GNSS data. The results will contribute to diverse geophysical studies, including but not limited to the classification of precursory movements leading to major eruptions and the advancement of early warning systems.

UAV Survey for Landslide Hazard Assessment in the Former Min-Kush Uranium Processing Site

In March 2013 a large landslide of almost one million cubic meters happened in the Min-Kush uranium processing site in the Kyrgyz Republic. This hazardous landslide area is connected to radioactive and toxic tailings of mining industry located in the center of Tien-Shan mountain system. The present research represents the results of work done by using Unmanned Aerial Vehicle (UAV) for photographing the landslide area, which was made for monitoring of this potentially hazardous phenomenon. Based on these images and geodetic measurements of the landslide, orthophotos as well as generated Digital Surface Model (DSM) with an accuracy of less than ±5 cm resulted. The application of the UAV in the man-made landslide study has been established as a cost and time effective monitoring tool that provides researchers and engineers with high-resolution geospatial data.

МОНІТОРИНГ СЕЙСМОТЕКТОНІЧНИХ ПРОЦЕСІВ У ЗАКАРПАТСЬКОМУ ВНУТРІШНЬОМУ ПРОГИНІ ЗА РЕЗУЛЬТАТАМИ КОМПЛЕКСНИХ ГЕОФІЗИЧНИХ СПОСТЕРЕЖЕНЬ

The article is devoted to the study of relations between the parameter variations of geophysical fields and the geodynamic state of the Transcarpathian Inner Trough. The research aims at studying the relations between the geodynamic state, observed meteorological parameters, and seismic phenomena in the Transcarpathian Inner Trough. Exploration target: seismotectonic processes in the region based on the results of monitoring geophysical fields. The scope of research includes the spatiotemporal distribution of local seismicity, modern lateral movements of the Earth's crust in the Oaș deep-seated fault area, precipitation parameter variations, water level in the Tysa River in 2019–2020. Research methodology presupposes the use of dynamic characteristics of modern lateral movements of the Earth's crust, spatiotemporal distribution of local earthquakes, observation of precipitation, as well as the comparison of heavy precipitation intervals with periods of seismic intensification. The research uses data obtained in the course of monitoring geophysical observations in the Transcarpathian Inner Trough area, especially at monitoring geophysical stations of the Seismicity Department of the Carpathian region of S.I. Subbotin Institute of Geophysics of the National Academy of Sciences of Ukraine. The data on the movements of the Earth's crust have been obtained at "Korolevo" strainmeter station. The results are significant to study the possible occurrence of local seismicity in the region and to settle the issue of seismically hazardous territories, as well as prediction of seismically hazardous phenomena in the future. The research studies the relation between the dynamic characteristics of modern lateral movements of the Earth's crust in the central part of the Transcarpathian Inner Trough and local seismicity in periods of intensive precipitation. The authors studied the relations between precipitation parameter variations and spatiotemporal distribution of local seismicity in 2019–2020. The analysis of spatiotemporal distribution of local seismicity and precipitation parameter variations in 2020 testifies to a high correlation of geophysical data series: increased amounts of precipitation are accompanied by an increased number of registered local earthquakes in the region; the hydrological aspect of seismotectonic processes in the Transcarpathian Inner Trough has been substantiated. In 2020 rock compression could be observed in the Oaș deep-seated fault area.