Network Elements Research Articles

Многофакторное автоматизированное исследование методов определения места повреждения на модели воздушной линии электропередачи 500 кВ

Fault location is one of the main means of automation of electric power on overhead power lines. Well-timed elimination and organization of maintenance and repair work to put power lines into operation require high accuracy of fault location. Fault location methods based on the parameters of emergency mode using data of electronic (digital or optical) instrument transformers have been developed in Ivanovo State Power Engineering University (ISPU). The use of electronic transformers makes it possible to reduce the instrumental error of fault location due to accurate measurements of electrical quantities during short circuit, including the measurement of the derivative of the primary current. The aim of the study of fault location methods developed by the ISPU team is to evaluate the errors of these methods with a variation of many factors affecting the calculation of fault location in an automated mode using modern modeling tools. A multifactorial automated research of the fault location methods is carried out using a simulation model of an ultra-high voltage network in the Matlab + Simulink software package. One-sided and two-sided fault location methods based on the parameters of emergency mode developed in ISPU are chosen as the studied methods. In the research methodology presented in the article, the values of the factors affecting the measurement of fault location, including the parameters of the network element models, are changed using a program in the MATLAB language with parallel calculations performed on different processor cores. A technique for automated research of fault location methods has been developed including a model of an ultra-high voltage electrical network in Simulink and a simulation model control program in Matlab. More than 100,000 computational experiments have been carried out for each fault location method. According to the study, the influence of transient resistance is excluded, and the influence of the network frequency is practically absent in the two-sided method. The change in the parameters of power transmission lines and equivalent systems is less affected in comparison with the one-sided method. The Monte Carlo method of fault location algorithms has shown that the errors of one-sided method do not meet the requirements of PJSC «FGC UES» standards in less than 20% of cases, and the errors of the two-sided method under the same modeling conditions do not meet the requirements only in 1% of cases. The developed research methodology makes it possible to evaluate the accuracy of fault location methods when changing the set of factors influencing the measurement in an automated mode. The carried-out research of one-sided and two-sided fault location methods based on emergency mode parameters and data of electronic transformers has showed sufficient accuracy on the model of a 500 kV overhead power transmission line with changes in individual factors affecting the measurement of fault location and when randomly setting a set of parameters of the network model.

Energy intensity-based metric for optimal design of water distribution systems

Water distribution systems (WDSs) are some of the most energy-intensive urban infrastructures and thus require efficient energy management. As an essential public infrastructure, a WDS plays an integral role in meeting the water needs of its users at service pressure. Hence, the service level should also be considered when reducing the energy consumption of the WDS. Therefore, to evaluate both energy management and service level, this study proposes efficient returned pressure (ERP) as a metric to optimize the WDS in both aspects by comparing the service pressure to the required energy intensity. During its operating cycle, the ERP considers the pressure and required energy intensity of the demand junctions resulting from the connection of various WDS elements. Using ERP as an optimization objective against the cost for three cases of different active network element configurations, it was discovered that ERP successfully identified solutions that could maximize service pressure while maintaining a minimum required energy intensity. Using ERP provided more effective solutions in terms of cost, greenhouse gas emissions, and network pressure uniformity compared to a conventional index such as the modified resilience index. Overall, the ERP proves to be a feasible optimization parameter when pressure and energy usage is of concern.

BMP4, SGSH, and SLC11A2 are Predicted to Be Biomarkers of Aging Associated with Programmed Cell Death.

Most neurodegenerative diseases are exacerbated by aging, with symptoms often worsening over time. Programmed cell death (PCD) is a controlled cell suicide mechanism that is essential for the stability, growth, and homeostasis of organisms. Understanding the effects of aging at the level of systems biology could lead to new therapeutic approaches for a broad spectrum of neurodegenerative diseases. In the absence of comprehensive functional studies on the relationship between PCD and aging of the prefrontal cortex, this study provides prefrontal brain biomarkers of aging associated with PCD that could open the way for improved therapeutic techniques for age-related neurodegenerative diseases. To this end, publicly available transcriptome data were subjected to bioinformatic analyses such as differential gene expression, functional enrichment, and the weighted gene coexpression network analysis (WGCNA). The diagnostic utility of the biomarkers was tested using a logistic regression-based prediction model. Three genes, namely BMP4, SGSH, and SLC11A2, were found to be aging biomarkers associated with PCD. Finally, a multifactorial regulatory network with interacting proteins, transcription factors (TFs), competing endogenous RNAs (ceRNAs), and microRNAs (miRNAs) was constructed around these biomarkers. The elements of this multifactorial regulatory network were mainly enriched in BMP signaling. Further exploration of these three biomarkers and their regulatory elements would enable the development of 3PM (predictive, preventive, and personalized) medicine for the treatment of age-related neurodegenerative diseases.

Research on Collaborative Mechanisms of Railway EPC Project Design and Construction from the Perspective of Social Network Analysis

With the promotion of Engineering Procurement Construction mode in railway construction projects, collaborative management between design and construction has faced increasing challenges due to complexities of the participants and the various professional fields involved in railway EPC projects. This paper aims to analyze the issues present in the collaborative management of railway EPC project design and construction. Utilizing the social network analysis methodology combined with the Wuli–Shili–Renli (WSR) system methodology, a network model was established to explore relationships between design and construction management. This study investigates network-influencing factors and proposes targeted measures to enhance project management efficiency. The findings indicate that coordination and communication mechanisms, organization building, interface management systems and design management systems represent core network elements that significantly impact railway EPC collaborative management. These elements are closely related to other network factors. The research not only advances design and construction coordination theory, but it also introduces new ideas for engineering practice.

A skutterudite thermoelectric module with high aspect ratio applied to milliwatt radioisotope thermoelectric generator

This study focuses on the design and optimization of a high aspect ratio skutterudite (SKD) thermoelectric module (TEM) for a milliwatt Radioisotope Thermoelectric Generator (RTG). The RTG is a solid-state energy conversion device that utilizes the heat generated by radioactive isotope decay to generate electrical energy through the Seebeck effect. The aim of this work is to enhance the output performance of the RTG by investigating the influence of TEM structure on temperature distribution and overall performance using thermal resistance network and finite element analysis (FEA) methods. In this work, the RTG's Radioisotope Heater Unit (RHU) and diameter are kept constant as 4 W and 70 mm, while the effects of leg length (L), number of legs (n), and cross-sectional area (A) on voltage, output power, and conversion efficiency are studied. It is observed that increasing L, selecting an appropriate A, and reducing n result in a larger temperature gradient within the TEM, ultimately improving the output power and conversion efficiency of the milliwatt RTG. For A = 0.64 mm2, L = 25 mm, and n = 36, the milliwatt RTG generates maximum output power (Pmax) of 86.95 mW and maximum conversion efficiency (ηrmax) of 2.17%. To optimize the output power and conversion efficiency of the milliwatt RTG while simultaneously assuring the large voltage and manufacturability, a SKD TEM with 64 legs, each with dimensions of 0.8 × 0.8 × 25 mm3, is chosen. The milliwatt RTG installed with this SKD TEM will provide a voltage output (Vout) of 1.13 V, maximum output power (Pmax) of 63.30 mW, and maximum conversion efficiency (ηrmax) of 1.58%. Furthermore, it exhibits excellent environmental adaptability, capable of operating in ambient temperatures (T∞) up to 538 K. The thermal stress distribution in the high aspect ratio SKD TEM is also analyzed. Due to the varying coefficients of thermal expansion (CTE) between the SKD material and the adhesive, the maximum stress within the SKD TEM occurs inside and around the p-SKD legs. Finally, a SKD TEM of 9.9 × 9.9 × 25 mm3 containing 64 legs with each leg's dimension of 0.8 × 0.8 × 25 mm3 is fabricated. It shows an open circuit voltage (Voc) of 3.51 V, a maximum output power (Pmax) of 194.45 mW, and a maximum conversion efficiency (ηtmax) of 3.4% at the hot side temperature (Th) of 723 K and cold side temperature (Tc) of 296 K.

Традиционен срещу дигитален PR – предимства и недостатъци

The purpose of this report is to analyze the transformations that have occurred in the field of public relations due to the introduction of digital technologies in the profession and to define the advantages and disadvantages of traditional and digital PR. The study focuses on the observation and analysis of the new phenomena in the field of public relations, in the aspect of the most common techniques and tools used by PR practitioners in their daily activities. The method used to collect information is an online survey conducted among public relations professionals. The results of the survey highlighted several elements of the profession that have undergone changes due to the rise of social media platforms. First and foremost, the element of networks and information emerges, as social media allows practitioners to create and maintain strong relationships and contacts while helping them stay current with relevant trends. The second element that emerges is helping to build and maintain a reputation and a more positive public image - a key element of PR. Strategies related to building this reputation, along with the companies' values, are coming to the fore, using social media as an important platform to promote them. From another perspective, the company's reach and communication with the public through social media allows for a two way conversation with the audience, along with facilitating the dissemination of information and gaining greater visibility online. The study succeeds in outlining the importance of social media while highlighting the limitations it faces as a tool.

The NEF-SPA Approach as a Framework for Developing a Neurobiologically Inspired Spiking Neural Network Model for Speech Production.

The computer-based simulation of the whole processing route for speech production and speech perception in a neurobiologically inspired way remains a challenge. Only a few neural based models of speech production exist, and these models either concentrate on the cognitive-linguistic component or the lower-level sensorimotor component of speech production and speech perception. Moreover, these existing models are second-generation neural network models using rate-based neuron approaches. The aim of this paper is to describe recent work developing a third-generation spiking-neuron neural network capable of modeling the whole process of speech production, including cognitive and sensorimotor components. Our neural model of speech production was developed within the Neural Engineering Framework (NEF), incorporating the concept of Semantic Pointer Architecture (SPA), which allows the construction of large-scale neural models of the functioning brain based on only a few essential and neurobiologically well-grounded modeling or construction elements (i.e., single spiking neuron elements, neural connections, neuron ensembles, state buffers, associative memories, modules for binding and unbinding of states, modules for time scale generation (oscillators) and ramp signal generation (integrators), modules for input signal processing, modules for action selection, etc.). We demonstrated that this modeling approach is capable of constructing a fully functional model of speech production based on these modeling elements (i.e., biologically motivated spiking neuron micro-circuits or micro-networks). The model is capable of (i) modeling the whole processing chain of speech production and, in part, for speech perception based on leaky-integrate-and-fire spiking neurons and (ii) simulating (macroscopic) speaking behavior in a realistic way, by using neurobiologically plausible (microscopic) neural construction elements. The model presented here is a promising approach for describing speech processing in a bottom-up manner based on a set of micro-circuit neural network elements for generating a large-scale neural network. In addition, the model conforms to a top-down design, as it is available in a condensed form in box-and-arrow models based on functional imaging and electrophysiological data recruited from speech processing tasks.

A deep neural network approach combined with Findley parameter to predict fretting fatigue crack initiation lifetime

In the aviation field, the crack initiation stage could be the dominant one of the whole damage failure process of components subjecting to fretting fatigue. Thus, getting an accurate prediction of the crack initiation lifetime become an important topic in research of fretting fatigue problems. In this work, a new prediction method for fretting fatigue crack initiation lifetime is proposed, which is based on Deep Neural Network (DNN), Findley Parameter (FP) and Finite Element Method (FEM). Input features are shear stress amplitude and maximum normal stress in the critical plane, and crack initiation lifetime is set as the output target. Dropout and bootstrapping are considered to improve the performance of DNN. Through comparative analysis, it is shown that this new proposed approach can effectively predict the fretting fatigue crack initiation lifetime. The prediction accuracy and stability are greatly improved compared with the theoretical formulation based on FP.

A cost-effective CNN-BEM coupling framework for design optimization of horizontal axis tidal turbine blades

The paper proposes a novel cost-effective framework that combines deep learning convolutional neural network (CNN) and blade element momentum (BEM) models for optimizing the performance of three-dimensional (3D) horizontal axis tidal turbines (HATTs). The framework employs signed distance function (SDF) to reconstruct the three-dimensional blade geometry, utilizes CNN to identify the hydrodynamic performance of each blade section, and ultimately predicts the performance of HATT using BEM. On top of the new CNN-BEM model, the rotor blade geometrical optimization by multi-objective non-dominated sorting genetic algorithm (NSGA-II) is carried out to obtain a better trade-off solution with the maximal power coefficient of turbine and minimal hydrodynamic load exerted on the blades. The results show that the CNN-BEM model has good agreement with experimental data and reduces prediction time by 46.7% compared to the conventional Xfoil-BEM model, while reducing general optimization time by 20.1%. The new model's cost-efficiency allows for a better trade-off solution with reduced hydrodynamic load while maintaining the power coefficient. Thus, the proposed model has the capability to deliver both accurate and fast prediction and optimization of HATT performance, making it a valuable tool for guiding the design of tidal turbines.

Physically non-cloneable arbiter -type function with non-linear path pairs

Physically unclonable functions (PUFs) are basic physical cryptographical primitives, providing to solve tasks such as unclonable identification, digital device authentication and copyright authentication, true random sequence generation, etc. The major features of PUFs are stability, unpredictability and irreproducibility, due to uncontrollable random variations of distinctive features of the raw materials and technological processes used during their manufacturing. Generally, PUF are digital circuits that extract such variations and convert them into a binary format, which applied for further use. Among the variety of PUF types, an Arbiter PUF (APUF) is distinguished, which is a digital circuit with N-bit challenge input and single output for one-bit response generation. The functionality of APUF is based on comparison of transition time of two copies of the test signal along a pair of configurable paths, selected by the challenge value CH from a set of 2N all possible pairs. The result of the comparison is the binary value of the response. The set of all challenge-response pairs is a random, unpredictable and irreproducible in the cases of implementation of cloned PUF circuits both on single and/or on another chips, also using different technologies. This article presents a new approach to the synthesis of the APUF circuits, based on the permutation network elements, which allow to construct the nonlinear structures of pair of paths. This implies the potential complication of building an APUF model to attack its implemented instances. This article presents new schematic solutions for the synthesis of APUF circuits. Also, the main characteristics of the proposed APUF circuits implemented on the Xilinx Zynq-7000 FPGA is analyzed.

Two centuries of changes - revision of the hydrography of the Biebrza Valley, its transformation and probable ecohydrological challenges

Human-induced changes in hydrography have led to serious changes in the hydrological and ecological condition of ecosystems, including habitat fragmentation and reduction of water in the landscape. The aim of this study was to assess the transformation of the hydrographic network in the Biebrza National Park (BbNP) over the XIX-XXI centuries and to analyze its probable ecohydrological challenges. The analysis of changes in the hydrographic network was based on a spatial comparison of hydrographic network elements on the basis of spatial sources. As a result of both natural and human-induced processes, there have been significant changes to elements of the hydrographic network of the BbNP. The length, area and sinuosity of the rivers in the BbNP area have decreased significantly in the XIX-XXI centuries, in contrast to the length of the canals dug in the XIX century - their length increased. On average, river channelization reduced channel water storage capacity by 49%. In other cases the average decrease of storage capacity of the channel was about 14%. As a result of drainage works in the XIX century, the network of drainage ditches was established in the BbNP, which was significantly extended (more than 6 times) in the XXI century. A comprehensive analysis of hydrographic changes, their causes and possible consequences is necessary to understand the dynamics of river networks. It also makes it possible to predict the future ecohydrological response of rivers to anthropogenic influences and climate change, thus helping to establish appropriate management and ecohydrological restoration of aquatic ecosystems.

Toward the Advantages of Quantum Trajectories on Entanglement Distribution in Quantum Networks

Quantum mechanics allows an information carrier to traverse through multiple trajectories of communication channels simultaneously, this leads us to quantum trajectories where alternative causal orders of communication channels being traversed are in a superposition, so that the relative orders of communication channels become indefinite. It has been shown that entanglement distribution process over quantum trajectory with an EPR pair being prepared by a sender enables quantum teleportation process to be heralded as a noiseless communication process with probability, the heralded result of which is unachievable in classical trajectory with a definite causal order of communication channels. In this work, we investigate the potential advantage of quantum trajectory on the generation of link-level entanglement, the basic element of quantum networks. To this aim, the performance of entanglement distribution process over multiple quantum trajectories where an EPR pair is prepared by a communication provider is analyzed. Besides, the application of entanglement purification protocol on quantum trajectory is first analyzed to reduce the effect of noise on link-level entanglement. The analysis shows that the link-level entanglement generated over quantum trajectory is more robust to long-distance quantum communication, with respect to classical trajectory, which paves the way for designing effective quantum networks.

Optimizing sports training of qualified baluan wrestlers during pre-competitive training in a digital learning environment

ABSTRACT The aim of the study was to determine the conditions for improving athletes’ training effectiveness at the final stage of staying in the mountainous terrain and in the first days of reacclimatization. The study also aimed to identify the effectiveness of digital education tools as an improvement of athletes’ sports performance. The study covered 100 baluan wrestlers, 20 trainers-teachers. As a result of our research, a model of five-stage pre-competition training of baluan wrestlers for the main macrocycle competitions using sports training in non-traditional conditions is justified. The conditions for improving the effectiveness of training of athletes associated with the organization of the training process at the final stage of stay in the mountainous area and in the first days of reacclimatization are determined. The research was conducted from 2017 to 2019. During this time, our balconies participated in the Asian and World Championships and showed good results. December 15–16, 2019. 200 athletes from more than 40 countries took part in the competition. 54% of respondents indicated that they would be more motivated to practice sports if elements of digital applications or social networks were used in the training process.

EEG Source Analysis with a Convolutional Neural Network and Finite Element Analysis.

To reconstruct the electrophysiological activity of brain responses, source analysis is performed through the solution of the forward and inverse problems. The former contains a unique solution while the latter is ill-posed. In this regard, many algorithms have been suggested relying on different prior information for solving the inverse problem. Recently, neural networks have been used to deal with source analysis. However, their underlying training for inverse solutions is based on suboptimal forward modeling. In this work, we propose a CNN that is able to reconstruct EEG brain activity. To train our proposed CNN, a skull-conductivity calibrated and white matter anisotropic head model. Based on this model, we generate simulated EEG data and used them to train our CNN. We first evaluate the performance of our CNN using the simulated EEG data while a realistic application with somatosensory evoked potentials follows. From the results, we observed that the CCN correctly localized the P20/N20 component at the subject-specific Brodmann area 3b and it can potentially localize deeper sources. A comparison is also presented with well-known inverse solutions (single dipole scans and sLORETA) showing similar localization performance. Through these results, an emerging potential for real applications appears on the basis of realistic head modeling.

Effects of surface roughness and shear processes on solute transport through 3D crossed rock fractures

The influences of surface roughness and shear processes on fluid flow and solute transport through three-dimensional (3D) crossed rock fractures, a vital element of fracture networks, were systematically investigated. Surfaces of tensile fractures created by splitting granite and sandstone samples along its two orthogonal central axes were optically scanned to generate rough-walled crossed fracture models. Shearing processes on the models were realized by assigning experimentally measured normal and shear displacements to one fracture while fixing the other. Fluid flow and solute transport through the models were numerically simulated taking into account different combinations of inlets and outlets, in which distilled water and solution are injected into the two inlets, respectively. The results show that compared to the parallel-plate model, the rough-walled crossed fracture model exhibits obvious flow channelization and fluid redistribution at the intersection, significantly promoting the mixing. The shear process affects the mixing at the intersection as it induces dilation and geometric change of the intersection. Increasing shear displacement can either enhance or reduce the mixing depending on combinations of the inlets and outlets, and the mixing ratio is controlled by the aperture difference between two outlet branches and the surface roughness. Effects of surface roughness, shear displacement and shear-induced dilation on the mixing ratio are quantified, upscaling of which can be potentially useful for field-scale characterization of solute transport in fractured systems.

Assessment of electric energy transport reliability (as exemplified by JSC "Rosseti Siberia Tyvaenergo" power networks)

Analysis of electric energy transport by power distribution networks of JSC Tyvaenergo over the period of 2017 – 2022 has been carried out. The structure of the company is considered, the characteristics of the main elements of the studied electric networks are given, the balance of the transmission of electric energy in and out of the company's networks is estimated. Based on the information published in open sources on the rate of accidents in the company's electrical networks, an estimate has been made of the number of emergency situations that occurred during the period under study. The duration of interruptions of power supply to consumers, as well as the amount of undersupply of electric energy caused by those interruptions, has been estimated. The influence of the seasonal component on the number of emergencies during the period under study is considered. Based on the data for the last quarter of 2022, analysis of the main causes of damage to elements of electrical networks has been carried out. The classification of failures is made, their main characteristics for this period are considered. The percentage ratio of the number of failures for the most characteristic reasons to the total number of outages during the period under study has been established. A technical tool is proposed to improve the reliability in conditions of unbalanced power consumption. General scientific methods, numerical methods of analysis, methods of the theory of electrical circuits were used in the research. To visualize the results of the analysis, the technologies of the MATLAB graphics editor were used. The results obtained may be of interest to the heads of power grid companies, as well as researchers and engineers engaged in research in the field of reliability of power supply.

Test and damage assessment of shallow buried RC tunnel under explosion

As a major element of the transportation network, tunnels are unavoidably threatened by accidental loads such as vehicle bombs and tank truck explosions. The goal of this research is to explore the dynamic characteristics and damage assessment of tunnel structures under contact blast loads. First, three scaled-down reinforced concrete tunnel models were made, and the explosion test and static loading test were carried out successively to evaluate the axial residual bearing capacity, axial displacement and failure mechanism of the tunnel. Secondly, the finite element model is built by utilizing LS-DYNA, and the reliability of the finite element method is confirmed by comparing the data of the explosion test with the static loading test. At the same time, the calculation method for damage coefficient and the classification criteria for damage grade based on axial residual bearing capacity are presented. Then, based on the finite element method, the propagation process of the explosion shock wave in the tunnel and the damage mechanism of the tunnel are investigated. Finally, seven explosion scenarios are developed, the damage degree of these seven tunnels under the blast load is quantitatively analyzed, and further anti-blast design ideas are put forth. The study in this article may give an intended reference for the damage assessment, anti-explosion design and strengthening work of reinforced concrete tunnels.

Analyzing the Highway Failure & their Maintenance a Case Study

Highways provide facilitating transportation with connecting regions, and developed economic growth. The failure of highway decreases the efficiency of road. These critical infrastructure assets are crucial for ensuring their higher functionality, comfort, and life span. This abstract provides a comprehensive overview of the analysis of cause of failure and to understand the role of highways and the significance of effective maintenance practices. A good study starts by the examining the importance of highways as key elements of transportation networks, supporting the movement of people, goods, and service facilities. It highlights their contribution to economic development, regional connectivity, and accessibility. Furthermore, the paper investigates the various factors that influence the performance and lifespan of highways, including traffic density, environmental factors, and design importance. The abstract further examines the challenges and considerations associated with highway maintenance, such as funding constraints, resource allocation, and the utilization of advanced technologies. It explores the importance of data-driven decision-making processes, asset management systems, and the adoption of innovative approaches like predictive maintenance to optimize maintenance practices. By analyzing case studies and existing literature, this study identifies best practices and lessons learned from successful highway maintenance initiatives around the world. It emphasizes the importance of proactive and well- planned maintenance programs, collaboration between stakeholders, and the integration of sustainable practices to ensure the longevity and cost-effectiveness of highways. In conclusion, this abstract presents a comprehensive analysis of the role of highway failure and their maintenance. It highlights the significance of maintaining these critical transportation assets to support economic growth factor, regional connectivity, and overall societal well-being. The findings provide valuable insights for policymakers, transportation agencies, and infrastructure professionals involved in managing and maintaining highway networks. Key Words: Safety, life span, analysis, significance, performance, lifespan, traffic volume, environmental conditions, design characteristics, routine maintenance, major maintenance interventions

FNIRS analysis of rostral prefrontal cortex activity and perception of inspiratory loads

It is well-established that the brainstem is responsible for the automatic control of breathing, however, cortical areas control perception and conscious breathing. This study investigated activity in the prefrontal cortex (PFC) during breathing difficulty using functional near-infrared spectroscopy (fNIRS). It was hypothesized that extrinsic inspiratory loads will elicit regional changes in PFC activity and increased perception ratings, as a function of load magnitude and type. Participants were exposed to varying magnitudes of resistive (R) and pressure threshold (PT) inspiratory loads to increase breathing effort. Perception ratings of breathing effort and load magnitude were positively correlated (p < 0.05). PT loads were rated more effortful than R loads (p < 0.05). Differences in perceived effort were a function of inspiratory pressure-time-product (PTP) and inspiratory work of breathing (WoB). PFC activity increased with the largest PT load (p < 0.01), suggesting that the PFC is involved in processing respiratory stimuli. The results support the hypothesis that the PFC is an element of the neural network mediating effortful breathing perception.

PROSPECTIVE MODELS OF THE CONSERVATION AND ECOLOGICAL NETWORK OF TERRITORIAL COMMUNITIES OF CHORTKIV DISTRICT

In the publication, the main attention is drawn to the improvement of the functional and spatial structure of the protected and ecological networks of the administrative district (AR). The problem of the degree of conservation of territories became especially relevant after the implementation of the decentralization reform, because in some administrative districts and territorial communities the level of conservation is 0.5-5%, while the average district indicator is 13.98%. It was established that protected areas in the Chortkiv administrative district are represented by 10 of the 11 protected categories available in Ukraine. The situation with local fragments of eco-networks and basic protected objects is the most problematic. The degree of protection at the level of territorial communities in 72.7% does not meet the established nature protection norms (more than 10%).&#x0D; The eco-network concept was implemented in Ukraine at the national and regional levels in the period from 2000 to 2015. Despite the expiration of the Law of Ukraine "On the Statewide Program for the Formation and Development of the National Ecological Network for the Period 2000-2015", a number of tasks at the level of new administrative districts and territorial communities remained unresolved within the framework of the program. Precisely those levels at which the basic elements of eco-networks receive their metric reflection and the eco-network system is filled with concrete content. With these elements, it is possible to carry out renaturalization measures, set aside the width of nature protection zones within river Eco corridors, restore the connection between the constituent parts of key territories, establish configurations and fix the boundaries of protective territories on the terrain, etc. Therefore, it can be assumed that instead of office modeling of national and regional eco-network schemes, the stage of substantiation and selection on the ground (visual modeling) begins. At the same time, it is necessary to include not only areas of natural vegetation in the composition of elements of eco-network models, but also the configuration of numerous promising territories and objects proposed for creation by local specialists in nature protection, environmental activists of territorial communities.&#x0D; The proposed small-scale promising nature reserves and natural monuments (98 positions) will allow to increase the protection of territorial communities, and from the positions of their role in the eco-network of AR will form a new configuration of connecting and protective territories (submeridional direction) such as: Zolotolipsk regional, Baryeka local, Koropetsk local, Strip regional, Dzhuryn local, Seret regional, Nichlav local, Zbrut regional, Dniester national sub-latitudinal connecting territory, Tovtrova regional (sub-latitudinal), New key and connecting territories within landscape areas have been identified, promising protected objects, elements of eco-networks of local importance have been identified. At the same time, the prospect of creating protected areas with an area of more than 100 hectares (Table 2) within six territorial communities will provide an opportunity to design key territories at the regional and local levels. The indicators of existing and prospective protected areas of territorial communities, administrative districts were calculated, taking into account the creation of prospective protected areas and objects (98 units). The most significant changes in the basic elements of regional networks will take place within the connecting territories of the regional and local levels, territorial communities. An integrated map scheme-model of protected and ecological networks with promising protected objects, new local key and connecting territories has been created, which will contribute to the introduction of a territorially differentiated approach to the optimal landscape and ecological organization of the territory.&#x0D; The eco-network of the Chortkiv administrative district represents the rank of a subsystem of the regional eco-network of the Ternopil region. Its basic structural elements are: 2 key territories of national rank (Medoborska and Zalishchytska), 5 key territories of regional rank (Yablunivska, "Dacha Galileya", Shuparska, promising Baryska, Skala-Podilska, Borschivska, Koropetska, Serednyoseretska) and local rank (Nad Dzhurynom, Chahor, Moklekiv, "Forest Mordova").&#x0D; The connecting national territory is Dnistrovsk, regional ones (Tovtrova, Zbrutska, Seretska, Stripska, Zolotolypska). Local connecting territories will be (Bpriska, Dzhurynska, Nichlavska, Seretsko-Zbruska). In connection with the creation and prospect of creation of new protected territories and objects, there will be a change in the configuration of mainly capital and protective territories, as well as the filling of protected objects in territorial communities (Koropetska, Zolotopoticska, Zalishchytska, Chortkivska, Husyatynska). The formation of updated models of protected and ecological networks of the administrative district will contribute to the optimization of the landscape and ecological organization of the territory.&#x0D; Key words: protected network, econetwork, administrative district, territorial community.