Dangerous Areas Research Articles

PicPatrolling: Smart Surveillance with ESP32CAM

Robotics is an exciting and developing branch of science. Robots are now common in society because of their high efficiency and durability, and they have many users. Security and surveillance robots, especially those with wheeled movements and agility, are important for multiplexes in security and surveillance domains, including public security, military, facilities, and home security. These robots carry built-in high-end sensors, cameras, and communication equipment that simplify real-time data collection in indoor and outdoor environments. "PicPatrolling: Smart Surveillance with ESP32CAM” is a technique that attempts to improve the current concept of security and surveillance. The proposed system incorporates ESP32CAM for image capture and transmission without delay and GPS for location tracking. The system includes sending photo e-mail alerts, making immediate reports, and guaranteeing adequate area coverage. The robot can move during operation in a complex environment using computer vision, machine learning, and sensor fusion to recognize objects, faces, and changes and monitor important regions.. Application areas for surveillance robots include commercial and populated regions, transport points and architectural structures, other soft regions that people cannot access, and other dangerous areas that humans cannot monitor for various reasons.

Adherence to treatment in patients with arterial hypertension at the wartime conditions in Ukrainian population

Abstract Background Adherence to therapy significantly affects the course and prognosis of the disease. However, the impact of military operations and related factors on adherence to therapy has not been studied. Purpose The aim of the study was to evaluate additional factors influencing adherence to antihypertensive treatment in wartime. Materials and Methods A total of 1299 patients with arterial hypertension from different regions of Ukraine included into the study. All regions were divided into 3 zones: active hostilities; regions with moderate intensity; relatively calm regions. Besides traditional factors (age, education, concomitant pathology, type of therapy), the individual patients’ status was included to analysis as being a resident of a given region, an immigrant from an occupied territory or from a region of hostilities, or a person temporarily displaced. Analysis was performed in 4 treatment groups: 1 – fixed three-component combination olmesartan medoxomil/ amlodipine/ hydrochlorothiazide, 2 – fixed two-component combination olmesartan/ hydrochlorothiazide, 3 – fixed two-component therapy with olmesartan/ amlodipine, 4 - other antihypertensive therapy. Adherence was assessed at 1, 2 and 3 treatment months. Uni- and multivariate statistical analyses was performed to identify factors independently associated with treatment adherence. Results In total, 50 patients stopped the drug during the first month (3.8%), 9.8% stopped medication after 2 months, and 19.1% after 3 months. When analyzing patients' adherence depending on whether or not the doctor arrived from another region, we found that the percentage of patients who stopped treatment was almost twice higher if the doctor was displaced (32%), compared to doctors who remained in the places (18%). Based on results of comparative analysis, adherence to therapy was influenced by several factors: age, presence of concomitant coronary artery disease, staying in a high-risk region, number of pills, and prescribed drug. After 3 months adherence was 89% in patients who received 1 tablet per day, 84% - 2 tablets, 82% - 3-5 tablets, and 52% - more than 5 pills. The highest adherence was observed with the three-component pill and with combination of olmesartan and amlodipine. These combinations showed higher adherence compared to other types of therapy. Patient's level of education had no effect on adherence to therapy. Multivariate regression analysis showed, that age over 55 years (p=0.01) and patient’s being in dangerous area (p<0.0001) had significant independent negative influence on adherence. The use of two-component combination olmesartan/amlodipine or three-component therapy significantly increased adherence (p<0.0001). Conclusion In the wartime adherence to antihypertensive treatment depends both on previously known and specific factors - activity of hostilities in the region, as well as relocation of both patients and prescribing physicians to another region.

Application of integrated geodetic and UAV technologies for monitoring environmental changes due to the mining activities in Solotvyno salt mine, Ukraine

This paper covers the spatio-temporal evolution of land surface deformation in the Tisza River basin within the Transcarpathian region, analyzing geodetic observations obtained over the last decade. In the town of Solotvyno, in the western part of Ukraine, near the Romanian border, there is an abandoned salt deposit where salt was extracted in several mining operations. In 2010, the mine was closed, and mine chambers 7 and 8 were flooded with water, causing the collapse of this region. Since then, the extent of the damage has been increasing, with sinkholes steadily growing larger and larger, threatening not only the entire surface area around the quarry but especially the groundwater that connects the deposit to the Tisza River. Several research institutions have been involved in monitoring the shifts over time. We have monitored the karst by identifying the most dangerous areas of the earth's surface subject to vertical shifts - trench sinkholes by UAV survey and terrestrial measurements using precise levelling in 4 stages. The situation on the site is an emergency with a major ecological impact of salt contamination in the whole Upper Tisza Basin region and requires not only continuous geodetic, geological, and chemical monitoring but especially an urgent solution to reverse the state of damage to the region.

Analysis and Simulation of Spur Gear System Considering Geometric Eccentricity

Geometric eccentricity errors inevitably occur in gear systems, resulting in the center of mass and center of rotation not coinciding. During the gear meshing process, the gear center distance and gear tooth meshing condition will change with time. In this paper, a model considering geometric eccentricity is proposed and a finite element model of the gear pair is developed. Finally, the dynamic response under different eccentricity and initial eccentricity angle is discussed. Based on Ansys, the simulation calculation of the gear pair is carried out, and the equivalent force maps of the dangerous areas of the gear tooth flanks are obtained.

Classification and extraction method of hidden dangers along railway lines based on semantic segmentation network

ABSTRACT Foreign objects invading high-speed railway lines can cause danger. One existing solution is to use remote sensing images to analyse the dangerous areas along the railway line, thereby providing a certain amount of investigation time. Considering the spatial and temporal resolution characteristics of existing remote sensing technologies in identifying floating objects and the reality of rapid land use changes, this paper identifies areas on the ground where floating objects may be generated by using semantic segmentation techniques oriented to remotely sensed imagery and provides early warnings to staff along the route. However, these regions that need to be analysed have different semantics and scales. To address these challenges, this paper proposes a Dual-branch Parallel Fusion Network (DPFNet) based on Transformer, aimed at enhancing multi-class semantic segmentation in remote sensing images. To leverage global contextual information, we introduce a Swin Transformer-based backbone network, which employs self-attention to capture a comprehensive scene context, facilitating better segmentation by considering the entire scene’s context. For multi-scale semantic features, we propose one approach that involves independent branching feature expression and a Multi-scale Feature Space Fusion Module (MFSFM). The former enriches multi-scale information, while the latter fuses features across different levels to capture diverse semantic features. Experimental results demonstrate that DPFNet can effectively identify the hidden danger area, and the fusion of multi-scale features makes the network more accurately identify and segment the risk area of different sizes, improving the segmentation accuracy and robustness, and is of great significance to the formation of the ‘prevention’ as the core of the railway safety operation.

Numerical simulation of the movement of the water surface with macroscopic particles during a partial dam break for various complex reliefs

In this paper, it was considered a numerical simulation of the water surface movement during the partial collapse of the destruction of a dam with complex terrain. The numerical simulations took into account debris after a partial collapse of the dam, which imitates debris and moves downstream with the water flow. Carrying out these calculations brings the results closer to the real scenario. The mathematical model was based on the Navier–Stokes equations and uses the turbulent large eddy method (LES) model describing the flow of an incompressible viscous fluid. To describe the movement of a two-phase fluid, the volume of fluid (VOF) methods for the phase were used, and the Discrete Phase Model (DPM) and Macroscopic Particle Model (MPM) were used to describe the movement of particles. For the numerical solution of this system of equations, the Pressure Implicit Split Operator (PISO) numerical algorithm was chosen. The results show that the model is accurate and capable of handling very complex interactions such as particle transport or hydrodynamic actions on structures if the appropriate scales are reproduced. Also in this work, a three-dimensional (3D) model of the flow of a dam break on uneven terrain was considered and combined problems were performed that are closer to real conditions. For combined problems, flood zones and flood times were determined, knowledge of which will help evacuate people from dangerous areas. The accuracy of the 3D model and the selected numerical algorithm were verified using two natural measurements.

Research on the strategy of cruise control system for urban traffic jam assistant

This paper proposes a hierarchical cruise control strategy that can adapt to urban traffic scenarios. Firstly, the perception layer defines a target selection strategy by using a novel trapezoidal dangerous area. Then, the upper controller contains speed follow mode and distance follow mode. An improved PI mode with integral separation and saturation terms is developed to achieve the desired speed following control, a safe distance mode via variable time headway is developed to facilitate the safe and smooth distance following control. The lower controller is designed based on feedforward and PI feedback. Finally, the experimental results demonstrate that the strategy can effectively select suitable target vehicles in complex urban scenarios. With the improved safe distance model and the third-order Bessel actuator response delay model, the strategy exhibits adaptability and stability. This study offers valuable suggestions and guidance for designing and applying the cruise control strategy for urban traffic scenarios.

Использование беспилотных летательных аппаратов в интересах военной медицины: современное состояние и перспективы

Summary. The of the study is to analyze existing experience and determine the prospects for using unmanned aerial vehicles (UAVs) in the interests of military medicine based on published data. Materials and research methods. The research materials were scientific articles, conference materials and other internet resources. Research methods: analytical, logical, descriptive-comparative, analogies. The results of the study and their analysis. As a result of the analysis, it was confirmed that the potential of these UAVs to provide medical care in dangerous and remote areas is huge, but the implementation of such a system is far from unambiguous due to unresolved problematic issues such as ensuring security, increasing survivability, and compliance with safety requirements when using UAVs. In addition, the legal regulation of ethical issues of drone use cannot be ignored. And the most important thing is the economic justification, that is the matching of the costs of developing the necessary products to the increase in efficiency during their use.

A Transtensional Fault Zone on the Northeastern Margin of the Tibetan Plateau: Millennial Earthquake Recurrence and High Earthquake Hazard

AbstractThe seismic gaps between ruptures of large earthquakes in tectonically active deformation zones are usually considered to be dangerous areas for future earthquakes. The Western Tianzhu Basin fault (WTBF) with an oblique normal motion is located in the middle of the Tianzhu seismic gap between the M 8.5 Haiyuan and M 8.0 Gulang earthquakes, NE Tibetan Plateau. The faulting activity of the WTBF is key to understanding the seismic hazards of the seismic gap, but it remains poorly constrained. Using satellite images, field investigations, paleoseismic trenching, and radiocarbon dating, we found that the WTBF produced seven paleoearthquakes since ∼8,000 cal. yr BP, with the latest event occurring at 1,005 ± 584 cal. yr BP, yielding an average recurrence interval of 1,102 ± 100 yr and a coefficient of variation of 0.38, indicating that it features a millennial quasi‐periodic recurrence. Based on the comparative analysis of geometry, kinematics, and tectonic activity, we suggest that the Tianzhu seismic gap can be divided into three sections and is characterized by a segmented rupture pattern. Among them, the WTBF and Jinqianghe fault exhibit similar geometry and kinematics and together form the ∼55 km‐long Jinqianghe‐Tianzhu transtensional fault zone (JTTFZ) that is capable of producing earthquakes of Mw 7.2. Given the long elapsed time since the latest event and strong seismogenic potential, it is believed that the JTTFZ poses a high seismic hazard. Our results enhance the understanding of the high seismic hazard in seismic gaps and provide new insights into the seismic rupture behavior in the NE Tibetan Plateau.

뉴욕경찰청의 알고리즘 예측치안 전략의 논쟁점

The purpose of this study is to examine the controversies surrounding the algorithmic predictive policing strategy adopted by the New York Police Department. NYPD is very active in pursuing algorithmic predictive policing strategies, but it is facing a variety of criticisms, including: First, personal information collection activities for predictive security violate the ideology of the Fourth Amendment to the U.S. Constitution, which prohibits invasion of privacy. Second, as the police rely on instructions generated by algorithmic predictions, police operations are becoming dehumanized. Third, the police exercise their police authority intensively against dangerous people or dangerous areas, and there is a risk that these people will eventually be negatively stigmatized and become criminals. Fourth, the police unilaterally exercise police power based on algorithmic predictions, rather than a two-way police service that reflects the needs of citizens or the community. Fifth, the efficiency of algorithmic predictive policing has not been verified, and the problem of contamination of used big data is being raised. Sixth, it is impossible to confirm whether the data provided by the police to private companies is opaque and secure. Seventh, there is the irrationality of Police power being replaced by private companies' for-profit businesses. Eighth, the New York Police Department is subject to monitoring of algorithmic predictive policing through the Local Law in Relation to Automated Decision Systems Used by Agencies and Public Oversight of Surveillance Technology(POST) Act, but the problems remain unresolved. Ninth, the New York Police Department continues to engage in legal disputes with human rights watchdog groups such as the Brennen Center over the non-disclosure of algorithmic predictive security information, losing most cases, raising questions about the legality of big data collection and management.

Modeling the stability of air flows in inclined workings in case of fire

Purpose. Development of a mathematical model and study of the processes occurring during conveyor belt fires in inclined mines to determine the mechanism of air flow distribution under appropriate conditions. Methods. Practical measurements of the distribution of air flows in an inclined conveyor operated at the mining and processing plant of PJSC ArcelorMittal Kryvyi Rih were carried out. Based on the obtained data, a mathematical model was crea-ted, which was then used to perform Computational Fluid Dynamics (CFD) modeling of gas flows in the mine under normal conditions and in the event of a fire with a thermal capacity of 9 MW. Findings. The study reveals the peculiarities of gas flows during the combustion of a conveyor belt in inclined workings, as well as the influence of turbulence on the flow, changes in the density of gases during heating, and the impact of gravity on the distribution of gases in the cross-section and along the length of the workings. A fire centre with a heat output of 9 MW has a significant impact on the distribution of air flows. The phenomenon of thermal expansion results in a 59.2% increase in the volume of gases behind the fire. The thermal expansion of gases and their low density have a significant impact on the formation of gas flows in inclined workings. As the jet moves away from the centre of the fire, the velocity of the jet gradually increases, reaching a value of 12.4 m/s. This results in a notable alteration in the distribution of total pressure across adjacent workings, accompanied by an increase in flow turbulence. Consequently, the mass of air exiting the right branch is observed to have a five-fold increase in comparison to the pre-fire state. The overturning of the jet from the left branch of the workings gives rise to the exclusive distribution of combustion products along the right branch. Originality. The study helps to understand the mechanism of jet overturning and the peculiarities of the distribution of combustion products in case of fire in inclined conveyor workings. Practical implications. The results of the research allow us to predict the probability of fire, identify the most dangerous areas for fire, and plan the most rational actions for firefighting in specific unique conditions.

ROAD ACCIDENTS IN URBAN AREAS IN ALGERIA. THE CASE OF THE CITIES OF CONSTANTINE AND ALI MENDJELI

Road safety is a major concern for countries around the world, as it is directly related to the sense of well-being. Road accidents have serious consequences for the victims and impose considerable economic burdens on the state, since their handling is delicate. The African continent, including Algeria, has a high accident rate. In this study, we chose the state of Constantine because of its national importance. Between 2020 and 2022, it recorded a significant number of accidents, particularly in the new town of Ali Mendjeli and the town of Constantine. These areas, with their dense populations and their high attractiveness due to the diversity of facilities they have, are experiencing very large flows and consequently considerable traffic. A territorial analysis of these accidents allows to highlight the dangerous areas, understand the causes and determine the types of victims. From which the identification of the sites most exposed to accidents has allowed us to identify many factors of this risk.

Study on the Spontaneous Combustion Law of Coal Body around a Borehole Induced by Pre-extraction of Coalbed Methane.

To address the challenges associated with the high gas content, high pressure, and low permeability coefficient in deep coal seams, strategies such as infilling boreholes and increasing the negative pressure of extraction are commonly implemented to alleviate issues related to coalbed methane extraction. However, long-term mining pressure can lead to the development of cracks in the coal seam near the borehole, thereby creating air leakage channels, which could potentially impact the oxygen supply during the extraction process. This leads to secondary disasters such as the spontaneous combustion of coal and gas explosions, considerably impacting the life and health of underground workers. To solve this issue, a thermal-fluid-solid coupling model for the working surface was constructed based on numerical simulation software, taking into account the multimechanism coupling effect of coal seam gas. The laws of coal oxidation and spontaneous combustion induced by coalbed methane extraction around boreholes were studied. The variation laws of the oxygen concentration, coal temperature, and oxidation heating zone around the borehole under different extraction conditions were simulated and analyzed. The findings demonstrate that the negative extraction pressure enables the gas to penetrate the fracture zone of the borehole, leading to an increase in the oxygen consumption rate and coal temperature around the borehole with an increase in negative extraction pressure. The coal gas leakage surrounding the borehole reduces as the sealing depth increases, and both the heating rate of coal and oxygen volume fraction show a downward trend. The fitting relationship between the negative pressure of drainage, depth of sealing, and temperature change in the coal body surrounding the boreholes was identified. It was determined that the negative pressure of 13 kPa for borehole drainage and a sealing depth >18 m are the optimal extraction parameters. The range of the oxidation zone and the position of the boundary line under this parameter were predicted, and the position function of the dangerous area of oxidation heating was defined. The research results have remarkable implications for the coordinated prevention and control of gas and coal spontaneous combustion in coalbed methane predrainage boreholes, as well as for efficient prevention and control of CO in on-site gas extraction boreholes, thus ensuring efficient and safe gas extraction.

Regional, local and current forecast of the impact hazard of coal seam sites based on seismic monitoring

Relevance. Insufficient validity of the quantitative criteria of the regional, local and current forecast of the impact hazard of the coal seams being developed, the absence of algorithms linking the use of geophysical and direct geomechanical methods in forecasting. Aim. To develop a comprehensive method of geodynamic forecasting, including determining the extent of an impact-prone area identified by the results of a regional forecast based on the registration data of the GITS seismic monitoring system, for conducting local and current forecasts of impact hazard by regulatory methods. Object. An array of rocks of the excavation column 4-1-5-7 of the Osinnikovskaya mine during mining operations in the zone of a group of tectonic disturbances and the intersection of advanced workings. Methods. Regional geomechanical forecast by the geophysical method of seismic activity registration (GITS system), local (current) forecast by natural electromagnetic radiation methods (Angel-M equipment) and the output of drilling fines. Results. The paper introduces the results of complex studies in the excavation column 4 1-5-7 of the Osinnikovskaya mine to establish a correlation between seismic activity and the parameters of the stress-strain state of the array. The authors have introduced the concept of integral indicators of the considered parameters IF and Ikσ. They take into account the area of the zone for the i-th range according to the complex parameter of seismic activity F and the coefficient of vertical stresses in the roof of the formation Kσ. It is established that the informative value of the integral indicators is almost twice as high as the informative value of the initial parameters. Experimental nomograms и are presented to determine the category "DANGEROUS/NON-DANGEROUS" for the regional forecast of impact hazard according to the GITS seismic monitoring system. The authors developed a general algorithm for predicting the impact hazard during clean-up operations. This algorithm uses an integrated approach that includes a regional forecast for recording seismic activity within the mine field and local forecasting methods, both geophysical and direct, to clarify the boundaries of seismic energy release zones and confirm the category of impact hazard. Thу paper introduces the example of determining the width of the zone of increased seismic energy release in the mine closest to the seismically active zone. The dynamics of the occurrence, development and decrease of the seismic energy release zone in the considered areas in the mine workings is shown. The authors give the examples of the implementation of a local forecast of impact hazard in previously established potentially dangerous areas by methods of recording natural electromagnetic radiation of rocks and by the output of drilling fines.

Addressing Environmental, Economic and Social Impact Mining Companies on Taliabu Island, North Maluku

The fundamental characteristic of the iron ore mining industry is clearing land and changing the natural landscape so that it has the potential to have an impact on the environment, social and economic aspects of society. This research was conducted to determine the environmental, social and economic impacts on the people of Taliabu Island Village. This research uses a qualitative method with a case study method. The conclusion of this research is that the environmental impact caused by mining in the Taliabu Island Village area can still be overcome by the company by replanting trees in places where mining has been completed and the company even provides signs along roads and dangerous areas so that the community is protected from these environmental impacts. . The company can also overcome the social impacts that arise by providing equal career development opportunities for local employees and migrant employees so that social jealousy does not occur and economic welfare increases for the people of Taliabu Island Village. The community's economy has improved with the opportunity to work as company employees and the emergence of many food stalls, daily necessities stalls and even entertainment venues where previously the community had a source of income from clove and head plantations. The company also establishes a family relationship between the village head and all members of the community so that the impact, no matter how small, can still be overcome because all levels of society have a sense of ownership of the company and the benefits of the company are greatly felt.

IMPLEMENTATION OF PEDESTRIAN SAFETY SYSTEMS IN THE URBAN INFRASTRUCTURE OF KHARKIV

The article focuses on pedestrian safety issues within the urban infrastructure of Kharkiv City in Ukraine and the implementation of modern protection systems on roads. It examines approaches to organising pedestrian zones and safety islands, with particular emphasis on the RS PSS system, designed to enhance pedestrian safety on roads with high traffic intensity. Significant attention goes to the growing number of road traffic accidents (RTAs) at pedestrian crossings and main city highways. From 2018 to 2024, an analysis of accident hotspots took place based on statistical data. This analysis led to the creation of a map of RTAs, which helped identify the most dangerous areas for pedestrians and determine the priority locations for safety measures. One of the proposed solutions discussed is using bollards – protective posts that prevent vehicles from entering pedestrian areas. The article analyses the effectiveness of bollards in combination with other safety measures, such as safety islands and traffic management systems. In addition to bollards, landscape solutions that protect pedestrians and blend into the urban environment are also mentioned. The main focus is on the RS PSS system, which consists of pedestrian slabs and safety islands manufactured using specialised technology. The system has been tested in various locations throughout the city and has demonstrated a significant reduction in RTAs after its implementation. The article illustrates the process of installing the system using the example of the reconstruction of a safety island on Liudviha Svobody Avenue. The use of modern equipment and technology ensured the rapid and efficient completion of the project. According to official data, the number of RTAs in this area decreased from 21 to 4 after completing the project. In conclusion, the implementation of new safety systems has had a positive impact on reducing accidents and improving pedestrian protection. There is also a noted need for further development and advancement of such systems and the integration of advanced technologies to enhance urban infrastructure. Keywords: pedestrian safety, pedestrian safety systems, safety islands, bollard, refuge.

LEVERAGING DEEP LEARNING FOR IMPROVED CYCLONE FORCASTING

Tropical cyclones (TCs) are frequently rarest but one of the foremost dangerous weather phenomena to arise over tropical oceans, usually creating huge issues with nearly ninety storms globally annually. Early detection and monitoring of TCs are necessary for the early warning of areas in danger. Since these storms originate over the open ocean and frequently out at sea many miles of continental regions, they are detected using remote sensing. In this paper, we propose an automatic method to identify the formation of TCs through satellite images combining a deep learning architecture. The methodology is based on a two-stage deep learning framework: Mask CNN as detector stage—second wind speed filter and lastly Convolutional Neural Network (CNN) for classification. The best possible performance is obtained by hyperparameter optimization using Bayesian Optimization across the pipeline. Results show that the proposed method achieves a precision, specificity, and accuracy of 97.10%, 97.59%, and 86.55% in test images respectively KEYWORDS— Convolutional Neural Networks (CNN), Deep Learning, Cyclone Detection and Tracking, Tropical cyclone Intensity.

A novel phosphogypsum based self-produced gas expansion slurry for preventing coal spontaneous combustion

In order to solve the coal spontaneous combustion disaster in the upper layer goaf during the slicing mining process, a slurry that can expand by self-produced gas was developed using phosphogypsum and sodium bicarbonate as raw materials. The effect of different factors on the performance of phosphogypsum based self-produced gas expansion slurry (PSES) was analyzed. The optimal ratio and conditions of PSES were determined through orthogonal experiments. The thermal insulation performance and cooling and fire extinguishing performance of PSES were studied. Finally, it was applied in Luwa coal mine in Shandong province. The research results indicated that the optimal experimental conditions and ratios for PSES were phosphogypsum content of 56 wt%, sodium bicarbonate content of 21 wt%, water temperature of 25 ℃, and mixing time of 65 s. Under these conditions, the expansion performance of the slurry was good, and the setting time and compressive strength can meet the requirements for sealing the coal and rock cracks in the goaf. Under the same heat source, the thicker the slurry, the better its thermal insulation effect. Under the same thickness, the higher the heat source temperature, the shorter the effective insulation time(EIT). After the slurry was injected into the cracks of the broken coal, it wrapped around the broken coal from bottom to top. The temperatures of A-layer, B-layer, and C-layer of the coal pile decreased in sequence. After half an hour of grouting, the temperatures at all points dropped below 50 ℃ without any reignition phenomenon. After injecting PSES into the coal spontaneous combustion dangerous area in the upper layer goaf, the concentrations of CO and O2 in the monitoring borehole decreased to a safe range, and the generated CO2 concentration finally stabilized at around 4.6 %. It showed that PSES can seal the coal and rock cracks in the goaf, suppress the coal spontaneous combustion, and guarantee the lower layer working face can be mined.

THE DATA PROCESSING METHODS FOR THE THERMOGRAPHY MONITORING OF WATER COOLING SYSTEMS IN NPP

The article discusses approaches to the analysis of data from thermographic measurements conducted at the ZNPP in order to assess the condition of above-ground and underground communications of cooling water. Methods of analyzing the surface topology of radiation temperature distribution on the welding seam of an overhead pipeline were proposed in order to identify potentially dangerous areas. An approach to the assessment of external loads on the surface of the soil in order to determine the areas with excessive external influences.

Sustainable environmental governance as the implementation of state defense policy

Background: Land waters in urban areas often become a source of problems if they are not managed wisely and firmly. The threat and risk of danger, disease and even death always haunt the people who live on the banks of the river. Poverty and slum areas are negative effects of less than optimal land water management in urban areas. The Indonesian government has taken various steps to address this, but the lack of urban land for settlement is the reason why immigrants from other regions reside and reside in dangerous areas such as riverbanks. The compulsion to live minimally in urban areas is a burden for local governments in their efforts to increase welfare as well as improve sustainable urban governance. Many other cities in developed countries have made efforts to improve inland water areas to alleviate poverty and at the same time beautify the urban landscape. The experts agreed to hold discussions to formulate the best policy steps for sustainable urban governance in Indonesia. Methods: In the process of data analysis and decision making related to sustainable environmental governance as implementation of national defense policy, this article utilizes the Analytical Hierarchy Process (AHP) Data Processing Method. Finding: The results of in-depth discussions and interviews with experts in the field of environment, urban governance, economic experts and poverty management experts from various institutions such as the Ministry of Social Affairs, PUPR Ministry, Spatial Planning and City Planning Services, Academics and also the Military were processed using the Analytical Hierarchy Process (AHP). Conclusion: The best decision alternative will be a recommendation for policy makers regarding sustainable urban governance. Novelty/Originality of this study: This study is relevant to the Analytical Hierarchy Process (AHP) Method to formulate sustainable urban water management policies in Indonesia, involving various experts and related institutions to overcome poverty and improve urban landscapes. Therefore, this study can show policy recommendations based on various aspects and views.