Vitalii Bezsonnyi

@hneu.edu.ua

Faculty of International Economic Relations
Simon Kuznets Kharkiv National University of Economics

Vitalii Bezsonnyi


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https://researchid.co/bezsonny
13

Scopus Publications

630

Scholar Citations

12

Scholar h-index

18

Scholar i10-index

Scopus Publications

  • Entropy-weighted model for assessing the environmental safety of surface waters in the Southern Bug river basin
    Vitalii Bezsonnyi
    Visnyk of V N Karazin Kharkiv National University Series Geology Geography Ecology, 2025
    Introduction. Ensuring the environmental safety of river basins is a critical challenge for Ukraine, particularly for strategically important waterways like the Southern Bug, which is subject to significant technogenic and agricultural pressure. Traditional assessment methods often rely on fixed weighting coefficients that fail to capture the local specifics of pollution. The aim of this study is to quantitatively assess the environmental safety of surface waters in the Southern Bug River basin using an entropy-weighted water quality index (EWQI), which accounts for the spatiotemporal variability and informational significance of hydrochemical indicators. Methods. The study is based on a database of hydrochemical observations for the period 2020–2024, collected from 36 monitoring stations across the upper, middle, and lower reaches of the river. The analysis included 12 key water quality parameters. The methodology involved data normalization and the calculation of entropy weights using Shannon’s information theory to determine the contribution of each parameter to the overall pollution level. Analytical tools included the calculation of seasonal EWQI values, spatial visualization using OpenStreetMap (OSM), Principal Component Analysis (PCA) for factor identification, and k-means clustering for zoning the basin. Results. Spatial analysis revealed a distinct downstream gradient of water quality deterioration: from clean waters (Classes II–III, EWQI ≤ 1.0) in the upper basin to polluted and highly polluted waters (Classes V–VII, EWQI > 3.0) in the estuarine zone near Mykolaiv. A significant seasonal trend was established, with the mean EWQI increasing from 1.85 in the cold period to 2.46 in the warm period, indicating a 33% degradation in water quality due to intensified eutrophication processes. Entropy weight analysis identified ammonium (22%), phosphates (18%), and BOD₅ (15%) as the dominant contributors to the index, confirming the prevalence of biogenic and organic pollution. PCA results indicated that three factors – organic load, nutrient enrichment, and mineralization – explain more than 80% of the variance in the data. Conclusions. The study confirmed that the entropy-weighted model provides an objective and sensitive tool for assessing aquatic ecosystems, effectively revealing spatial heterogeneity and seasonal risks. The research highlights that the warm season represents a period of critical ecological stress for the Southern Bug. The practical value of the model lies in its applicability for automated assessment and spatial mapping within the state environmental monitoring system, providing a scientific basis for optimizing monitoring networks and management decisions.
  • Seasonal and spatial dynamics of entropy-weighted water quality assessment in surface waters of Ukraine
    Vitalii Bezsonnyi, Oleg Tretyakov, Leonid Plyatsuk, Roman Ponomarenko, Oksana Davydova
    Visnyk of V N Karazin Kharkiv National University Series Geology Geography Ecology, 2025
    Introduction. Ensuring the ecological safety of river basins is one of the most urgent environmental challenges in the context of achieving the United Nations Sustainable Development Goals (SDGs), particularly SDG 6 (Clean Water and Sanitation) and SDG 12 (Responsible Consumption and Production). Surface water quality is a critical component of regional environmental stability and sustainable development. However, increasing anthropogenic pressure and climate change are destabilizing natural aquatic ecosystems and complicating the functioning of water supply systems. According to international data, over 40% of the global population faces water scarcity. This study aims to assess the seasonal and spatial variability in the quality of surface waters in Ukraine using an entropy-weighted water quality index (EWQI). The object of the research is the system of surface water bodies of Ukraine, while the subject is the seasonal and spatial variation in their ecological status based on physical and chemical indicators. Methods. The study utilized open-access data from Ukraine’s state environmental monitoring system, covering over 540 monitoring points across major river basins: the Dnipro, Dniester, Danube, Don, Vistula, Southern Bug, Azov Sea rivers, and the Black Sea coastal basins. Water quality data were analyzed for five seasonal periods: winter, spring, low-flow, shallow-water, and autumn. Ten key hydrochemical parameters were selected for analysis, including dissolved oxygen, biological oxygen demand, chemical oxygen demand, ammonium nitrogen, nitrates, phosphates, total hardness, and total dissolved solids. The EWQI was calculated by normalizing each parameter and assigning it a weight based on its Shannon entropy. The greater the variability of a parameter, the higher its informational contribution. The final index was classified according to a seven-class scale, from "very clean" to "extremely polluted". Spatial analysis and visualizations were carried out using QGIS. Results. The entropy-weighted assessment revealed clear seasonal and regional trends in surface water quality. The best water quality was recorded during the winter and spring periods, while the highest levels of pollution occurred in shallow-water and autumn seasons. This dynamic is attributed to temperature fluctuations, reduced dilution capacity during low flows, and agricultural runoff during warm periods. Spatially, the most polluted regions were identified in the basins of the Southern Bug, Azov Sea rivers, and the Black Sea littoral, where anthropogenic pressures are particularly high. EWQI values also indicated that certain tributaries and local watercourses demonstrated extreme sensitivity to seasonal factors. The integration of entropy-based weights enhanced the sensitivity of the water quality index to both spatial variability and seasonal trends, providing a more differentiated ecological picture than conventional methods. Conclusions. The entropy-weighted water quality index provides a robust, objective, and adaptable tool for assessing the ecological status of surface waters. The method successfully captures seasonal and spatial variability, highlighting critical regions and periods that require intensified environmental monitoring and remediation measures. The research findings can serve as a scientific basis for updating national water monitoring programs and aligning with international environmental standards.
  • Stochastic analysis of organic water pollution risks in the lower Danube
    V. Bezsonnyi, O. Tretyakov, А. Н. Некос, Leonid Plyatsuk, R. Ponomarenko, et al.
    18th International Scientific Conference Monitoring of Geological Processes and Ecological Condition of the Environment Monitoring 2025, 2025
    Summary The stochastic analysis of organic water pollution risks in the lower Danube was conducted based on long-term monitoring data (2003–2024) from four key stations: Reni, Izmail, Kiliya, and Vylkove. The study assessed dissolved oxygen (DO) and biochemical oxygen demand (BOD), two critical indicators of water quality, using statistical methods and stochastic modeling. The results indicate a declining trend in DO, particularly in Kiliya and Vylkove, suggesting increasing oxygen depletion risks. In contrast, BOD levels show a rising trend, highlighting growing organic pollution pressures. The probability of exceeding critical pollution thresholds (DO < 6 mg/L, BOD > 3 mg/L) is highest in Vylkove (38.6% and 49.2%), marking it as the most vulnerable area. Reni exhibited the most stable conditions, benefiting from lower anthropogenic influence and better self-purification capacity. A spatial analysis revealed that pollution accumulates downstream, making Vylkove and Kiliya high-risk zones. Izmail had moderate pollution risks, while Reni maintained the best water quality. The Monte Carlo method was applied to quantify risk probabilities, and results were validated using empirical data and previous studies.
  • Groundwater quality assessment using health risk-based weighting
    Vitalii Bezsonnyi, O. Tretyakov, А. Н. Некос, Leonid Plyatsuk, Роман Пономаренко, et al.
    18th International Scientific Conference Monitoring of Geological Processes and Ecological Condition of the Environment Monitoring 2025, 2025
    Summary The study assesses groundwater quality using the Health Risk Weighting Model (HRWM) and compares it with traditional methods: the Importance Scale Weighting Model (ISWM) and the Entropy Weighting Model (EWM). The main objective is to determine the most reliable method for evaluating groundwater quality and associated health risks. Based on the collected data, the Water Quality Index (WQI) was calculated using three methods: ISWM, which relies on expert assessments and may be subjective; EWM, which considers the statistical variability of pollutant concentrations; and HRWM, which incorporates toxicological indicators such as the reference dose (RfD) and carcinogenic coefficient (CIC). The results showed that HRWM identified manganese, sulfates, and iron as the most hazardous pollutants, assigning them the highest weighting coefficients. The highest levels of contamination and health risks were observed in wells N82 and N62, whereas well N63 exhibited the best water quality indicators. The WQI values varied significantly depending on the assessment method, with HRWM yielding the most critical results. The study confirmed that HRWM provides a more accurate risk assessment by considering the actual toxicological impact of pollutants, whereas traditional methods such as ISWM and EWM may underestimate hazards, particularly for highly toxic substances present in low concentrations.
  • Use of the entropy approach in water resource monitoring systems
    Vitalii Bezsonnyi
    Visnyk of V N Karazin Kharkiv National University Series Geology Geography Ecology, 2023
    Effective management of water resources is possible only with an effectively organized monitoring system. After the emergence and development of information theory, the concept of information entropy found its place in the field of the development of water monitoring systems. The purpose of this work is to review research related to the construction of water monitoring systems and networks that applied the entropy theory in the design process. Methodology. Entropy terms used in the construction of water monitoring systems are summarized. Recent applications of the entropy concept for water monitoring system designs classified by precipitation are reviewed; flow and water level; water quality; soil moisture and groundwater. The integrated method of designing multifactorial monitoring systems is also highlighted. Results. The review analyzes studies and their implementation in the design of water monitoring networks based on entropy. The use of various methods of information theory and their adaptation for use in the design of monitoring networks is demonstrated, with the goal of network design methods being the selection of stations that provide the most information for the monitoring network, while being independent of each other. Through extensive testing, information theory has proven to be a reliable tool for evaluating and designing an optimal water monitoring network. Scientific novelty. This review focuses on studies that have applied information theory or information entropy to construct monitoring networks and systems. Information theory was developed by Shannon in the middle of the last century to measure the information content of a data set and was subsequently applied to solving water resources problems. To date, there are no review studies regarding the design of water monitoring networks based on the concept that entropy will be able to characterize the information specific to the monitoring station or monitoring networks. The main goal is to have the maximum amount of information. Practical significance. The optimal design of the monitoring network can be built based on the specified design criteria; however, the practical application of a new optimal monitoring network is rarely evaluated in a hydrological or other model. It is also important to identify the benefits of entropy-based network design to convince decision-makers of the importance of entropy-based approaches. The optimal network can be subjective, based on the choices made during the entropy calculation and the design method chosen, especially when additional objective functions are considered in the design. This applies to the method chosen to construct the optimal monitoring network, whether it is found using an iterative method where one station is added at a time, or a collection of stations that are added simultaneously. Research has also shown that data length, catchment scale, and the order can affect optimal network design. when using discrete entropy, it was shown that the binning method affects the final network design. Therefore, when selecting options based on the intended application of the monitoring network, a clear understanding and further research is needed to provide recommendations specific to water monitoring networks. In particular, more work is needed on the spatial and temporal scaling of the entropy calculation data to provide robust recommendations for decision-makers.
  • Analysis of the environmental risk of water bodies in conditions of military danger
    V. Bezsonnyi, A. Nekos
    17th International Conference Monitoring of Geological Processes and Ecological Condition of the Environment Monitoring 2023, 2023
    Summary As a result of the assessment of the environmental risk from the possible impact of military operations on critical infrastructure objects and emergency discharge on the quality of surface runoff and water in the Siv.Dinets River, it was established that the list of priority contaminants includes organoleptic indicators and nitrogen-containing substances, which are determined (in order higher than under normal conditions. This can negatively affect aquatic ecosystems, river biota, accelerating eutrophication processes and human health, causing mutagenic and carcinogenic effects.
  • Assessment of ecological safety of a surface water object
    V. Bezsonnyi, L. Plyatsuk, R. Ponomarenko, O. Tretyakov
    17th International Conference Monitoring of Geological Processes and Ecological Condition of the Environment Monitoring 2023, 2023
    Summary In the process of calculating water quality indices, the weight of each parameter is usually either not taken into account, and the parameters are considered equivalent, or it is given by experts according to their practical experience, which is subjective and a lot of useful and valuable information about water quality can be lost. These drawbacks can be overcome by using information entropy to assign weights to water quality parameters. As a result of the application of the entropy-weighted water quality assessment index for the section of the Dnipro River, located within the Dnipropetrovsk region, it was established that the quality of the index differs significantly in the warm and cold periods of the year. It should also be noted that one of the key factors in the formation of the entropy index of water quality is the choice of a normative value, therefore, it is promising to justify the choice of the normative value for each specific condition, which can be considered as a separate task.
  • Thermodynamic aspects of the systems approach in ecology
    Vitalii Bezsonnyi, Oleg Tretyakov, Mykola Sherstyuk, Alla Nekos
    Visnyk of V N Karazin Kharkiv National University Series Geology Geography Ecology, 2022
    Purpose. research from thermodynamic positions of the properties of ecological systems of various types under the influence of anthropogenic factors. Methods. Analytical-synthetic method, analysis of information sources, entropy analysis. Results. The effect of an anthropogenic factor on the ecosystem will result in a decrease in the antientropy of the components. The response of the ecosystem will be different depending on the strength and duration of the disturbance. With a strong and sufficiently long impact, the antientropy of the components falls while preserving the organization of the ecosystem until the too low level of the antientropy of the components does not include their own regulatory reactions aimed at restraining the fall of the antientropy even to the detriment of the organization of the system. The organization begins to fall. Since the influence is strong enough and does not stop, the regulatory mechanisms of the components are not able to stabilize the antientropy. The process of falling anti-entropy and organization continues, the system is irreversibly going to its demise. With an average strength, but long-term impact, the components manage to stabilize their anti-entropy at some sub-optimal, but acceptable level at the expense of energy reserves while preserving the organization. However, if the influence continues and does not weaken, the components, not being able to return their antientropy to the original optimal level, sooner or later cannot cope with the continuous perturbation, and their antientropy begins to fall again, now together with the organization. With a weak or short-term impact, the components, adapting to new conditions, return the antientropy to the optimal level (with a strong or medium impact, this is possible only after its termination before irreversible changes in the system). In this case, the organization of the system remains constant, since the disturbing action in this case did not lead the ecosystem beyond the effective operation of homeostatic mechanisms. Thus, the critical moment when an anthropogenic factor acts on an ecosystem is the beginning of the fall of its organization, when homeostasis has completely exhausted itself in countering the disturbance, and the ecosystem begins to irreversibly degrade. So, to control the state of the ecosystem exposed to the anthropogenic factor, it is enough to monitor the organization of the system: if it does not decrease, we can talk about relative well-being, but if the organization falls, the ecosystem is on the verge of death, and it is necessary to take measures to save it. However, the periodic and fairly frequent measurement of the organization of the ecosystem is a task, although one that does not cause fundamental difficulties, but is very time-consuming, primarily due to finding the average module of the correlation coefficients of the parameters. Determining the complexity of the ecosystem according to the formula, although associated with certain difficulties associated with finding the number of connections, does not require time-consuming mathematical processing.
  • Assessment of environmental risks from the impact of domestic and industrial effluents
    V. Bezsonnyi
    16th International Conference Monitoring of Geological Processes and Ecological Condition of the Environment Monitoring 2022, 2022
    Summary A comprehensive assessment of the ecological state of the surface water body in the study area was carried out using the method of calculating the water pollution index, which allows obtaining an integral assessment of the ecological state of surface waters based on the frequency of exceeding the MPC of individual components. It was established that the wastewater of the utility enterprise worsens the water condition of the Siverskyi Dinets River, since the values of the water pollution index of the WPI 500 m before the discharge site (fluctuations in the range from 6. 30 to 8. 08) are greater than the WPI values at the same time 500 m below the site reset (fluctuations in the range from 6. 93 to 8. 15), especially this applies to the warm period of the year. The environmental risk assessment depends entirely on the values of the WPI, and is obtained by arithmetic operations with an index and certain constants. The results of the calculation of environmental risk show that the impact of wastewater of a municipal enterprise increases the value of the environmental risk for the Siverskyi Dinets River, in particular for July– September - from acceptable to unacceptable (values from 0. 000000881 to 0. 00000157).
  • Modeling of the oxygen regime of the Chervonooskilsky reservoir
    V. Bezsonnyi, A. Nekos
    16th International Conference Monitoring of Geological Processes and Ecological Condition of the Environment Monitoring 2022, 2022
    Summary The parameters k1 (coefficient of biochemical oxidation of organic substances) and k2 (reaeration coefficient) of the Streeter-Phelps model for the reservoir were calculated. Taking into account the value of temperature on the solubility of oxygen and the speed of biochemical processes, the calculation of parameters k1 and k2 was performed for each month of the year. The correlation coefficient between the simulated value of biochemical oxygen consumption and the empirical value is 0.86, which can be considered acceptable for such studies.
  • Production risk management in the foundry
    V. L. Bezsonnyi, O. V. Tretyakov, V. V. Asotskyi, R. V. Ponomarenko
    Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2020
  • Examining the dynamics and modeling of oxygen regime of chervonooskil water reservoir
    Vitalii Bezsonnyi, Oleg Tretyakov, Batyr Khalmuradov, Roman Ponomarenko
    Eastern European Journal of Enterprise Technologies, 2017
  • Improving the environmental safety of drinking water supply in Kharkiv region (Ukraine)
    Олег Вальтерович Третьяков, Тамара Олександрівна Шевченко, Віталій Леонідович Безсонний
    Eastern European Journal of Enterprise Technologies, 2015

RECENT SCHOLAR PUBLICATIONS

  • Risk-Oriented Water Quality Assessment of the Southern Bug River Basin Based on Long-Term Monitoring Data
    V Bezsonnyi, A Nekos, S Horoshkov, E Kochanov
    19th International Conference Monitoring of Geological Processes and … , 2026
    2026
  • Безпека послуг у готельно-ресторанному бізнесі: робоча програма навчальної дисципліни для здобувачів вищої освіти спеціальності J2 «Готельно-ресторанна справа та кейтеринг …
    В Безсонний
    2026
  • Стандартизація, сертифікація і метрологія: робоча програма навчальної дисципліни для здобувачів вищої освіти спеціальності J2 «Готельно-ресторанна справа та кейтеринг …
    В Безсонний
    2026
  • Організаційна культура у готельно-ресторанному бізнесі: робоча програма навчальної дисципліни для здобувачів вищої освіти спеціальності J2 «Готельно-ресторанна справа та …
    В Безсонний
    2026
  • Основи наукових досліджень в індустрії гостинності: робоча програма навчальної дисципліни для здобувачів вищої освіти спеціальності J2 «Готельно-ресторанна справа та кейтеринг …
    В Безсонний, К Нечепуренко
    2026
  • Управління інноваційними проєктами у ресторанному та крафтовому бізнесі: робоча програма навчальної дисципліни для здобувачів вищої освіти спеціальності G13 «Харчові технології …
    В Безсонний, К Нечепуренко
    2026
  • Світові тенденції розвитку ресторанного та крафтового бізнесу: робоча програма навчальної дисципліни для здобувачів вищої освіти спеціальності G13 «Харчові технології …
    В Безсонний, К Нечепуренко
    2026
  • Девелопмент та управління ресурсами в закладах гостинності: робоча програма навчальної дисципліни для здобувачів вищої освіти спеціальності J2 «Готельно-ресторанна справа та …
    В Безсонний
    2026
  • Методологія і організація наукових досліджень: робоча програма навчальної дисципліни для здобувачів вищої освіти спеціальності G13 «Харчові технології» освітньої програми …
    В Безсонний
    2026
  • European experience and prospects for the implementation of environmental certification in Ukraine’s hospitality sector
    VL Bezsonnyi
    Man and Environment. Issues of Neoecology, 186-200 , 2025
    2025
  • Entropy-weighted model for assessing the environmental safety of surface waters in Ukraine
    VL Bezsonnyi
    Visnyk of VN Karazin Kharkiv National University. Series Еcоlogy, 166-187 , 2025
    2025
  • SYNERGY OF CIVIL DEFENSE AND FIRE SAFETY IN HOTEL RISK MANAGEMENT
    ІВ Пономаренко, ВЛ Безсонний
    Національний університет цивільного захисту України , 2025
    2025
  • SYNERGY OF CIVIL DEFENSE AND FIRE SAFETY IN HOTEL RISK MANAGEMENT
    V Bezsonnyi, I Ponomarenko
    Scientific bulletin: Сivil protection and fire safety, 14-23 , 2025
    2025
  • ЕКОЛОГІЧНА ОСВІТА ЧЕРЕЗ ЦИФРОВЕ МИСТЕЦТВО: ВИЗУАЛІЗАЦІЯ ЗАГРОЗ БІОРІЗНОМАНІТТЮ ТА ЗАБРУДНЕННЮ У КОМІКС-ФОРМАТІ
    АН Некос, ВЛ Безсонний
    The 4 th International scientific and practical conference “Science … , 2025
    2025
  • Entropy-weighted model for assessing the environmental safety of surface waters in the Southern Bug river basin
    V Bezsonnyi
    Visnyk of VN Karazin Kharkiv National University. Series Geology. Geography … , 2025
    2025
  • MODELING OF DISPERSION AND ASSESSMENT OF ECOLOGICAL CONSEQUENCES OF CHEMICAL POLLUTION DEPOSITION DURING TECHNOGENIC ACCIDENTS
    E Kochanov, A Nekos, V Bezsonnyi
    National University of Civil Protection of Ukraine , 2025
    2025
  • PROBLEMS OF QUALITY AND ECOLOGICAL SAFETY OF CHILDREN’S FOOD PRODUCTS IN THE PUBLIC PROCUREMENT SYSTEM
    A Nekos, V Bezsonnyi, E Kochanov, S Uvarova
    Sworld-Us Conference proceedings, 88-93 , 2025
    2025
  • Оцінка безпеки підземних вод за допомогою багатомодельного індексу якості води та показників ризику для здоров’я
    ВЛ Безсонний, РВ Пономаренко, ЛД Пляцук, ОВ Третьяков
    National University of Civil Protection of Ukraine , 2025
    2025
  • Groundwater Quality Assessment using Health Risk-Based Weighting
    V Bezsonnyi, O Tretyakov, A Nekos, L Plyatsuk, R Ponomarenko, ...
    18th International Conference Monitoring of Geological Processes and … , 2025
    2025
  • Stochastic Analysis of Organic Water Pollution Risks in the Lower Danube
    V Bezsonnyi, O Tretyakov, A Nekos, L Plyatsuk, R Ponomarenko, ...
    18th International Conference Monitoring of Geological Processes and … , 2025
    2025

MOST CITED SCHOLAR PUBLICATIONS

  • Examining the dynamics and modeling of oxygen regime of Chervonooskil water reservoir
    V Bezsonnyi, O Tretyakov, B Khalmuradov, R Ponomarenko
    Восточно-Европейский журнал передовых технологий, 32-38 , 2017
    2017
    Citations: 61
  • Охорона праці: Навчальний посібник з тестовим комплексом на CD/за ред. КН Ткачука
    ОВ Третьяков, ВВ Зацарний, ВЛ Безсонний
    К.: Знання , 2010
    2010
    Citations: 47
  • Regarding the choice of composite indicators of ecological safety of water in the basin of the Siversky Donets
    V Bezsonnyi, О Tretyakov, V Asotsky, A Kalynovskyi
    2021
    Citations: 25
  • Improving the environmental safety of drinking water supply in Kharkiv region (Ukraine)
    ОВ Третьяков, ТО Шевченко, ВЛ Безсонний
    Eastern-European Journal of Enterprise Technologies 5 (10), 40-49 , 2015
    2015
    Citations: 25
  • Охорона праці: Навчальний посібник
    ОВ Третьяков, ВВ Зацарний, ВЛ Безсонний
    Київ: Знання , 2010
    2010
    Citations: 25
  • Entropy approach to assessment of the ecological state of a water course
    VL Bezsonnyi, OV Tretyakov, LD Plyatsuk, AN Nekos
    Visnyk of VN Karazin Kharkiv National University. Series Еcоlogy, 6-19 , 2022
    2022
    Citations: 15
  • Modeling of the oxygen regime of the Chervonooskilsky reservoir
    V Bezsonnyi, A Nekos
    16th International Conference Monitoring of Geological Processes and … , 2022
    2022
    Citations: 14
  • Підвищення ефективності прогнозування впливу техногенного забруднення на поверхневі водойми
    ОВ Третьяков, ВЛ Безсонний, РВ Пономаренко, ПЮ Бородич
    2019
    Citations: 14
  • Аналіз світового та вітчизняного досвіду впровадження інтегрованого управління водними ресурсами
    ТОВ Безсонний В.Л.
    Робоча програма та тези доповідей третьої міжнародної конференції … , 2016
    2016
    Citations: 13
  • Ентропійний підхід до оцінки екологічного стану водотоку
    ВЛ Безсонний, ОВ Третьяков, ЛД Пляцук, АН Некос
    Вісник Харківського національного університету імені ВН Каразіна Серія … , 2022
    2022
    Citations: 12
  • Monitoryng ekologichnoi'bezpeky vodotokiv za kysnevymy pokaznykamy [Monitoring of ecological safety of watercourses by means of oxygen indicators]
    V Bezsonnyi, O Tretyakov, R Ponomarenko, G Kalda, V Asotskyi
    Technogenic and ecological safety 10 (2), 2021 , 2021
    2021
    Citations: 12
  • Підвищення рівня екологічної безпеки питного водопостачання Харківського регіону (Україна)
    ОВ Третьяков, ТО Шевченко, ВЛ Безсонний
    Восточно-Европейский журнал передовых технологий 5 (10 (77)), 40-49 , 2015
    2015
    Citations: 12
  • Use of the entropy approach in water resource monitoring systems
    V Bezsonnyi
    Visnyk of VN Karazin Kharkiv National University. Series Geology. Geography … , 2023
    2023
    Citations: 11
  • Екологічна оцінка якості води Канівського водосховища
    ВЛ Безсонний, АН Некос, АВ Сапун
    Людина та довкілля. Проблеми неоекології, 85-96 , 2022
    2022
    Citations: 11
  • Thermodynamic aspects of the systems approach in ecology
    V Bezsonnyi, O Tretyakov, M Sherstyuk, A Nekos
    Visnyk of VN Karazin Kharkiv National University. Series Geology. Geography … , 2022
    2022
    Citations: 10
  • Assessment of environmental risks from the impact of domestic and industrial effluents
    V Bezsonnyi
    16th International Conference Monitoring of Geological Processes and … , 2022
    2022
    Citations: 10
  • Prohnozuvannia kysnevoho rezhymu richky Siverskyi Donets metodamy matematychnoho modeliuvannia
    VL Bezsonnyi, OV Tretiakov, AM Kravchuk, YF Statsenko
    Budivnytstvo, materialoznavstvo, mashynobuduvannia, 113-119 , 2016
    2016
    Citations: 10
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