Organizational and technical methods of emergency evacuation of the population from the zone of emergency situation

 

Vladimir Komyak

National University of Civil Defence of Ukraine

http://orcid.org/0000-0002-6009-5908

 

Valentina Komyak

National University of Civil Defence of Ukraine

http://orcid.org/0000-0002-9840-2635

 

Kyazim Kyazimov

Academy of the Ministry of Emergencies of the Republic of Azerbaijan

http://orcid.org/0000-0003-0790-9770

 

DOI: https://doi.org/10.52363/2524-0226-2022-35-20

 

Keywords: emergency evacuation, organizational and technical methods, heterogeneous flows of people, high-rise buildings, optimization

 

Аnnotation

Organizational and technical methods of evacuating the population from the emergency zone along routes with different characteristics, such as stairs, corridors, elevators, means of emergency evacuation from high-rise buildings and along horizontal routes, taking into account the category of comfort of people's movement, have been developed. Effective evacuation from high-rise buildings is hindered by a number of reasons, the main of which is that stairs, as the main means of evacuation, do not provide sufficient throughput for the safe evacuation of people from such buildings. The problem of emergency evacuation from high-rise buildings has been set, which includes the movement of people along corridors, stairs, with the help of elevators, and additionally – with the help of emergency evacuation means. The properties of the problem were investigated. It is substantiated that the task of optimizing the selection of paths and means for evacuation from high-rise buildings has two stages of solution: discrete – optimization on a discrete set, which can be represented, for example, by a solution tree, and continuous – modeling the movement of heterogeneous flows of people through the network, the components of which are corridors, stairs, paths of movement of elevators and means of emergency evacuation. As a discrete optimization method, variant modeling on a network describing a solution tree is proposed. For the continuous stage, in particular for horizontal paths, organizational and technical methods of emergency evacuation of heterogeneous flows of people are proposed, taking into account the category of comfort of their movement. The effectiveness of the developed organizational and technical methods of evacuating the population from the emergency zone is shown on test examples. The software developed in the work can be used for quick decision-making regarding the choice of safe evacuation routes, which is one of the most important problems of the life safety of the population.

 

References

  1. Antony Wood. (2012). Rethinking Evacuation: Rethinking Cities. CTBUH 9th World Congress Shanghai, 3, 43–49.
  2. Gravit, M., Dmitriev, I., Kuzenkov, K. (2018). Phased evacuation algorithm for high-rise buildings. MATEC Web of Conferences, 245, 11012. doi: 10.1051/matecconf/201824511012
  3. Pauls, J. (2003). Elevator and Stairs for Evacuation: Comparison and Combination. ASME Workshop to Focus on Elevator Emergencies in High-Rise Buildings.
  4. Dmitriev, I., Kuzenkov, K., Kankhva, V. (2018). The use of elevators in the evacuation of high-rise buildings. MATEC Web of Conferences, 193, 03030. doi: 10.1051/matecconf/ 201819303030
  5. ISO/TR 25743:2010. Lifts (elevators). Study of the use of the lifts for evacuation an emergency. Standard by International Organization for Standardization (Technical Report).
  6. Barney, G. C. (2003). Elevator Traffic Handbook: Theory and practice. Spon Press. London and New York.
  7. Pasman, N. J., Kirillov, I. A., Roytman, V. M. (2001). NWO project 047.011.2001.035. Hazards and Risk Analysis for Aircraft Collision wish High-Rise Building. TNO, Netherlands.
  8. Komyak, V. M., Danіlіn, O. M., Kyazіmov, K. T., Komyak, V. V. (2019). Rozrobka matematichnoї modelі optimіzacії viboru shlyahіv ta zasobіv dlya evakuacії z visotnih budіvel' [Development of a mathematical model for optimizing the selection of routes and means for evacuation from high-rise buildings]. Problemi nadzvichajnih situacіj, 30, 67–75.
  9. Komyak, M., Komyak, V. V., Sobol', A. N. (2016). Razbienie i trassirovka v zadachah pozharnoj bezopasnosti stroitel'stva [Breakdown and tracing in tasks of fire safety construction]. Har'kov: Madrid, 161.
  10. Gritsik, V. V, Kiseleva, O. M, Yakovlev, S. V., Stetsyuk, P. I. (2012). Mathematical optimization methods and intelligent computer technologies to model complex processes and systems with regard for spatial forms of objects, Inst. Problem Iskusstv. Intellekta, NAN Ukr., Nauka i Osvita, Donetsk.
  11. Komyak, Va., Sobol, A., Danilin, A., Komyak, Vl., Kyazimov, K. (2020). Optimization of Partitioning the Domain into Subdomains According to Given Limitation of Space. Journal of Automation and Information Sciences. New York: Begell, 52, 2, 13–26. doi: 10.1615/JAutomatInfScien.v52.i2.20.
  12. Komyak, Va, Komyak, Vl. Pankratov, A. (2021). Mathematical and Computer Modeling of Active Movement of People during Evacuation from Buildings. Part of the IFIP Advances in Information Technology in Disaster Risk Reduction book (series IFIPAICT), 622, 245–258.
  13. Pankratov, A., Komyak, Va., Kyazimov, K., Komyak, Vl., Tarasenko, O., Antoshkin,O., Mishcheriakov, Iu., Dolhodush, M. (2021). Building a model and an algorithm for modeling the movement of people carrying goods when they are evacuated from premises. Eastern-European Journal of Enterprise Technologies. Kharkiv, 3/4(111), 43–50. doi: 10.15587/1729-4061.2021.23391
  14. Gravi, M. V., Kar'kin, I. N., Dmitriev, I. I., Kuzenkov, K. A. (2019). Modelirovanie processa evakuacii iz vysotnyh zdanij i sooruzhenij s ispol'zovaniem passazhirskih liftov [Modeling of the evacuation process from high-rise buildings built and constructed using passenger elevators]. Pozharovzryvobezopasnost'. Fire and Explosion, 28, 2, 66–80.
  15. Holshchevnikov, V., Samoshin, D. A. (2014). Problemy obespecheniya pozharnoj bezopasnosti lyudej s ogranichennymi vozmozhnostyami v zdaniyah s ih massovym prebyvaniem [Problems of ensuring fire safety of people with disabilities in buildings with their mass stay]. Pozharovzryvobezopasnost', 23, 37–52.
  16. Holshchevnikov, V. V., Samoshin, D. A. (2009). Evakuaciya i povedenie lyudej na pozharah [Evacuation and behavior of people on fires]: uchebnoe posobie. M.: Akademiya GPS MCHS Rossii, 210.
  17. Kyazіmov, K. T. (2020). Kategorії komfortnostі ruhu lyudej v potocі і sposobi їh modelyuvannya [Categories of the comfort of the movement of people in the flow and methods of their modeling]. Suchasnі problemi modelyuvannya. Melіtopol': MDPU, 20, 144–154.

 

 

Method of reducing the time of operational deployment by the first emergency rescue department

 

Dmitry Belyuchenko

National University of Civil Defence of Ukraine

https://orcid.org/0000-0001-7782-2019

 

Denys Lovin

National University of Civil Defence of Ukraine

https://orcid.org/0000-0002-1066-0286

 

Alexandr Soshinskiy

National University of Civil Defence of Ukraine

https://orcid.org/0000-0002-7921-1294

 

Viktor Strelets

National University of Civil Defence of Ukraine

https://orcid.org/0000-0001-5992-1195

 

Igor Khmyrov

National University of Civil Defence of Ukraine

https://orcid.org/0000-0002-7958-463X

 

DOI: https://doi.org/10.52363/2524-0226-2022-35-19

 

Keywords: operational deployment, fire and rescue vehicles, modeling, ranking

 

Аnnotation

The application of experimental research planning methods showed that the obtained multifactor models of operation of the system "rescuer – rescue equipment – emergency" should be the basis of appropriate methods to reduce the time of operational deployment of fire and rescue vehicles by the first rescue unit during emergencies. The basis of this methodology is the development and verification of operational and technical recommendations in accordance with the maximum differences in one-factor models obtained in the center and at the edges of factor space for three-factor polynomial models in normalized variables. deployments of fire and rescue vehicles by the first operational and rescue unit, provides for the sequential implementation of four procedures, namely: their simulation (in that case physical modeling) in accordance with the 3x3x3 plan, taking into account the factors that characterize the person (personnel of the rescue unit), equipment (fire and rescue vehicles and their equipment, rescue equipment, etc.) and environment (operational conditions rescuers' activities); expert substantiation of recommendations for implementation; selection of operational and technical recommendations for implementation in regulatory documents based on the results of statistical assessments of how effective their implementation is. At the same time, it should be borne in mind that to apply the chosen approach it is necessary to obtain a large amount of source data. In addition, a significant limitation of the developed approach is the need to involve highly qualified experts at all stages of the methodology.

 

References

  1. On approval of the Charter of emergency actions of governing bodie sand units of the operational and rescue service of civil protection and the Charter of actions of governing bodies and units of the operational and rescue service of civil protection in fighting fires. Order of the Ministry of Emergency Situations of Ukraine 04.26.2018 № 340. Information and documentation. https://zakon.rada.gov.ua/laws/show/z0801-18#Text
  2. Prysyazhniuk, V., Yakimenko, M., Kukharishin, S. (2013). Analysis of the current state of the fleet of fire and rescue vehicles in Ukraine and the effectiveness of fire and rescue units. Scientific Bulletinof the Ukr RIFS, 1(27), 68–74. Retrieved from: http://firesafety.at.ua/visnyk/2013_No_1-27/15_Prisyazhnyuk_Jakimenko_Kukharishyn.pdf
  3. Firefighting and rescue service vehicles. Common requirements. Safety and performance. BS EN 1846-2:2009+A1:2013 Information and documentation. doi: 10.3403/30233210
  4. Emergency Incident Rehabilitation. February. (2018). URL: www.usfa.fema.gov/downloads/pdf/publications/fa_314.pdf Information and documentation.
  5. Ming, J., Richard, JP. P., Qin, R. (2022). Distributionally robust optimization for fire station location under uncertainties. Sci Rep 12, doi: 10.1038/s41598-022-08887-6
  6. Standard on Fire Department Occupational Safety and Health Program. NFPA 1500. (2012). Edition. URL: www.fsans.ns.ca/pdf/research/nfpa1500.pdf Information and documentation
  7. Nowicki, T. (2017). Optimization of equipment deploymenton firetrucks. MATEC WebConf, 125, 02016. doi: 10.1051/matecconf/201712502016
  8. Duncan, M. D., Littau, S. R., Kurzius-Spencer, M. (2014). Development of Best Practice Standard Operating Procedures for Prevention of Fireground Injuries. Fire Technol, 50, 1061–1076. doi: 1007/s10694-013-0342-9
  9. Belyuchenko, D., Strelets, V., (2020). Multivariate as sessment of the effectiveness of the operational development of fire trucks in the face of industrial emergencies. Municipal Economy of Cities, Series: Engineering science and architecture, 3, 156, 204–211. doi: 10.33042/2522-1809-2020-3-156-204-211
  10. Zelnio, H., Fendley, M. (2018). Human performance modelling for image analyst decision support design. International Journal of Human Factors Modelling and Simulation, 6, 2–3, 184–202. doi : 10.1504/IJHFMS.2018.093183
  11. Klasyfikator nadzvychainykh sytuatsii DK 019:2010. 10.11.2010 Edition. 457. Information and documentation.
  12. Kamyshentsev, H. V., Soloviov, I. I., Belyuchenko, D. Yu., Strelets, V. М. (2020). Information and technical method for preventing emergency situations by the integrated use of acoustic control systems in the context process of functioning of the system "emergency situation – rescue operations – rescuer". Engineering of nature management, 3(17), 133–139. doi: 10.37700/enm.2020.3(17).133-139
  13. Voznesenskiy, V. A. (1981). Statisticheskiye metody planirovaniya eksperimenta v tekhniko-ekonomicheskikh issledovaniyakh. Finansy i statistika, 263.
  14. Strelets, V., Borody`ch, P. (2004). Multifactorial assessment of fire and rescue operations at metro stations. Problems of Fire Safety, 15, 208–214.
  15. Vasil`ev, M., Strelec, V., Trigub, V. (2013). Analysis of multifactor model of the system "rescuers – protection and emergency response – emergency release of hazardous chemicals". Problems of Emergency Situations, 18, 22–33.
  16. Soloviov, I., Strelets, V., Lovin, D. (2021). Multifactor model of excavation op an explosive subject dive. Problems of Emergency Situations, 2(34), 272–294. doi: 10.52363/2524-0226-2021-34-20
  17. Bealt, J., Shaw, D., Smith, M., López-Ibáñez, M. (2019). Peer reviews for making cities resilient. International Journal of Emergency Management (IJEM), 15, 4, 334 – 359. doi: 10.1504/IJEM.2019.104201

 

Model of the process of disposal of 100 mm artilery shots UBK10 9М117

 

Igor Neklonskyi

National University of Civil Defence of Ukraine

http://orcid.org/0000-0002-5561-4945

 

Oleg Smirnov

National University of Civil Defence of Ukraine

https://orcid.org/0000-0002-1237-8700

 

DOI: https://doi.org/10.52363/2524-0226-2022-35-17

 

Keywords: utilization, artillery shots, formalization, multi-channel system, intensity of flow of events

 

Аnnotation

The technology of discharging shots by the method of their disassembly into elements has been developed, which allows to rationally remove all necessary materials. Disposal technology is a process of parallel (simultaneous) execution of individual operations. The formalization of the disposal process into a multi-channel queuing system with a limited queue has been carried out. This allowed the use of operations research methods to conduct a mathematical description of the relevant queuing system and determine indicators of its effectiveness: the probability of failure and queuing; relative system bandwidth; absolute bandwidth of the system; average number of occupied channels; the average number of applications (products) in the queue; average waiting time in the queue; the average number of applications (products) in the system; the average residence time of applications (products) in the system. The research is conditioned by the need to substantiate effective organizational decisions on improving the technological policy of ammunition disposal. The research results make it possible to establish the list and sequence of operations, the time norms for disassembly of the overall product, the list and amount of materials that are removed from the elements of ammunition. Allow to connect the set conditions of the technological process, formalized in a multi-channel queuing system, with the characteristics that show the effectiveness of the organization of work. The use of the proposed mathematical apparatus is relevant to describe the technology of disposal of other missiles and ammunition, provided that the disposal process is parallel, and it can be represented as a multi-channel queuing system with a limited queue. The results of the study can be implemented during the development of an effective mechanism for the disposal of missiles and ammunition, as well as during the examination, hazard identification and increase the level of safety of relevant processes.

 

References

  1. Claire, Mills. (2022). Military assistance to Ukraine 2014–2021. Research Briefing Number 7135, 4 March 2022. London. House of Commons Library. URL: https://researchbriefings.files.parliament.uk/documents/SN0713/SN07135.pdf
  2. Alternatives for the Demilitarization of Conventional Munitions. National Academies of Sciences, Engineering, and Medicine. (2019). Washington, DC: The National Academies Press. URL: https://www.nap.edu/read/25140/chapter/1
  3. Dynamic, Disposal. An Introduction to Mobile and Transportable Industrial Ammunition Demilitarization Equipment. (2013). RASR Issue Brief, 3, 1–16. URL: https://www.smallarmssurvey.org/sites/default/files/resources/SAS-RASR-IB3-Dynamic-Disposal.pdf
  4. International ammunition technical guideline IATG 10.10:2015 [E]. Demilitarization and destruction of conventional ammunition. (2015). UN ODA.
  5. Liu, H., Wang, Y., Zhu, H. (2015). The technology method research of scrap ammunition destruction, 3rd International Conference on Mechanical Engineering and Intelligent Systems (ICMEIS 2015). Atlantis Press, 201–205. doi:2991/icmeis-15.2015.39
  6. Neklonskyi, I., Smyrnov, O. (2020). Mathematical model of the process of utilization of 9M21 tactical missiles. Problems of Emergency Situations, 25, 211–225. URL: http://pes.nuczu.edu.ua/images/arhiv/31/15.pdf
  7. Shamugia, R. (2014). On One Model of Multichannel Queuing System with Unreliable Repairable Servers and Input Memory. International Journal of Communications, Network and System Sciences, 7, 279–285. doi: 4236/ijcns.2014.78030
  8. Queue management systems. Retrieved from: https://q-net.com/en/
  9. Babeli, К., Hess, Sv., Hess, M. (2022). Capacity utilization of the container terminal as multiphase service system. European Transport / Trasporti Europei, 86, 4. doi:48295/ET.2022.86.4
  10. Katsaliaki, K., Galetsi, P., Kumar, S. (2021). Supply chain disruptions and resilience: a major review and future research agenda. Annals of Operations Research. doi: 10.1007/s10479-020-03912-1
  11. Pourhejazy, P., Kwon, O. K. (2016). The New Generation of Operations Research Methods in Supply Chain Optimization: A Review. Sustainability, 8(10), 23. doi: 3390/su8101033
  12. Janos, Sztrik (2016). Basic Queueing Theory. Foundations of System Performance Modeling. Riga, DC:
  13. Jerry, Okecukwu, Ekeocha, R., Ikechi Ihebom, V. (2018). The Use of Queuing Theory in the Management of Traffic Intensity. International Journal of Sciences, 4(03), 56–63. doi: 18483/ijsci.1583
  14. Zhernovyi, Yuriy. (2015). Creating Models of Queueing Systems Using GPSS World. Lambert Academic Publishing.
  15. GPSS world. URL: http://www.minutemansoftware.com/simulation.htm

 

 

Modeling the thermal effect of fire to the tank in the presence of wind

 

Oleksii Basmanov

National University of Civil Defence of Ukraine

https://orcid.org/0000-0002-6434-6575

 

Maksym Maksymenko

National University of Civil Defence of Ukraine

http://orcid.org/0000-0002-1888-4815

 

DOI: https://doi.org/10.52363/2524-0226-2022-35-18

 

Keywords: emergency, tank fire, fire heat impact, radiant heat transfer, convective heat transfer

 

Аnnotation

Forecasting the consequences of emergencies caused by the fire in a vertical steel tank with oil in the presence of wind is considered. A model of heating the shell of a tank with oil under the thermal influence of a fire in an adjacent tank is built. The model takes into account radiant heat transfer, convective heat transfer (to ambient air in forced mode and to steam-air mixture in gas space in free mode). The model is a differential equation that describes the process of heat transfer inside the tank shell, with boundary conditions on the outer and inner shell surfaces. The inclination of the flame by the wind to adjacent tank leads to increasing the coefficient of mutual irradiation between the flame and the upper edge of the tank shell. In this case, the mutual irradiation coefficient increases monotonically while wind speed is increasing. It is shown that for vertical steel tanks with a capacity of up to 20,000 m3, the irradiation coefficient depends only on the type of flammable liquid (in dimensionless coordinates). By using the methods of similarity theory, the estimation of the convective heat transfer coefficient of forced convection on the outer surface of the tank shell is obtained. Applying the finite difference method for solving the heat balance equation allows obtaining the temperature distribution on the tank shell at arbitrary time. It allows determining the area on the shell surface that needs to be cooled. The presence of wind in the direction of the heated tank significantly increases the risk of spreading the fire. In particular, in the case of a fire in an oil tank and wind speed of 5 m/s, the shell temperature of the adjacent tank reaches 250 ºC after 5 minutes.

 

References

  1. Yang, R., Wang, Z., Jiang, J., Shen, S, Sun, P., Lu, Y. (2020). Cause analysis and prevention measures of fire and explosion caused by sulfur corrosion. Engineering Failure Analysis, 108, 104342. doi: 10.1016/j.engfailanal.2019.104342
  2. Ni, Z., Wang, Y. (2016). Relative risk model for assessing domino effect in chemical process industry. Safety Science, 87, 156–166. doi: 10.1016/j.ssci.2016.03.026
  3. Otrosh, Yu., Semkiv, O., Rybka, E., Kovalov, A. (2019). About need of calculations for the steel framework building in temperature influences conditions. IOP Conference Series: Materials Science and Engineering, 708(1). doi: 10.1088/1757-899X/708/1/012065
  4. Kustov, M. V., Kalugin, V. D., Tutunik, V. V., Tarakhno, E. V. (2019). Physicochemical principles of the technology of modified pyrotechnic compositions to reduce the chemical pollution of the atmosphere. Chemistry and Chemical Technology Issues, 1, 92–99. doi: 10.32434/0321-4095-2019-122-1-92-99
  5. Mygalenko, K., Nuyanzin, V., Zemlianskyi, A., Dominik, A., Pozdieiev, S. (2018). Development of the technique for restricting the propagation of fire in natural peat ecosystems. Eastern-European Journal of Enterprise Technologies, 1(10), 31–37. doi: 10.15587/1729-4061.2018.121727
  6. Popov, O., Iatsyshyn, A., Kovach, V., Artemchuk, V., Kameneva, I., Taraduda, D., Sobyna, V., Sokolov, D., Dement, M., Yatsyshyn, T. (2020). Risk assessment for the population of Kyiv, Ukraine as a result of atmospheric air pollution. Journal of Health and Population, 10(25). doi: 10.5696/2156-9614-10.25.200303
  7. Zhang, Z., Zong, R., Tao, C., Ren, J., Lu, S. (2020). Experimental study on flame height of two oil tank fires under different lip heights and distances. Process Safety and Environmental Protection, 139, 182–190. doi: 10.1016/j.psep.2020.04.019
  8. Mukunda, H. S., Shivakumar, A., Bhaskar Dixit, C. S. (2021). Modelling of unsteady pool fires – fuel depth and pan wall effects. Combustion Theory and Modelling. doi: 10.1080/13647830.2021.1980229
  9. Elhelw, M., El-Shobaky, A., Attia, A, El-Maghlany, W. M. (2021). Advanced dynamic modeling study of fire and smoke of crude oil storage tanks. Process Safety and Environmental Protection, 146, 670–685. doi: 10.1016/j.psep.2020.12.002
  10. Semerak, M., Pozdeev, S., Yakovchuk, R., Nekora, O., Sviatkevich, O. (2018). Mathematical modeling of thermal fire effect on tanks with oil products. MATEC Web of Conferences, 247(00040). doi: 10.1051/matecconf/201824700040
  11. Espinosa, S. N., Jaca, R. C., Godoy, L. A. (2019). Thermal effects of fire on a nearby fuel storage tank. Journal of Loss Prevention in the Process Industries, 62(103990). doi:10.1016/j.jlp.2019.103990
  12. Li, Y., Jiang, J., Zhang, Q., Yu, Y., Wang, Z., Liu, H., Shu, C.-M. (2019). Static and dynamic flame model effects on thermal buckling: Fixed-roof tanks adjacent to an ethanol pool-fire. Process Safety and Environmental Protection, 127, 23–35. doi: 10.1016/j.psep.2019.05.001
  13. Ahmadi, O., Mortazavi, S. B., Pasdarshahri, H., Mohabadi, H. A. (2019). Consequence analysis of large-scale pool fire in oil storage terminal based on computational fluid dynamic (CFD). Process Safety and Environmental Protection, 123, 379–389. doi: 10.1016/j.psep.2019.01.006
  14. Abramov, Y. A., Basmanov, O. E., Mikhayluk, A. A., Salamov, J. (2018). Model of thermal effect of fire within a dike on the oil tank. Naukovyi Visnyk NHU, 2, 95–100. doi: 10.29202/nvngu/2018-2/12
  15. Lackman, T., Hallberg, M. (2016). A dynamic heat transfer model to predict the thermal response of a tank exposed to a pool fire. Chemical engineering transactions, 48, 157–162. doi: 10.3303/CET1648027
  16. Basmanov, O., Maksymenko, M., Oliinik, V. (2021). Modeling the thermal effect of a fire in an oil tank to the next tank. Problems of Emergency Situiations, 2(34), 4–20. doi: 10.52363/2524-0226-2021-34-1
  17. Fire Fighting Leader Handbook. (2017). Kyiv book and magazine factory, 2017, 320.
  18. Salamov, J., Abramov, Y., Basmanov, O. (2020). Estimating the convective heat transfer coefficient of the tank shell and the vapor-air mixture in the gas space of the tank. Problems of fire safety, 47, 99–104. Available online: http://repositsc.nuczu.edu.ua/handle/123456789/11117

 

 

Integrated assessment of the environmental state of the Dnipro reservoir

 

Vitalii Bezsonnyi

Simon Kuznets Kharkiv National University of Economics

http://orcid.org/ 0000-0001-8089-7724

 

Roman Ponomarenko

National University of Civil Defence of Ukraine

http://orcid.org/0000-0002-6300-3108

 

Oleg Tretyakov

Національний авіаційний університет

http://orcid.org/ 0000-0002-0457-9553

 

Yevhen Ivanov

National University of Civil Defence of Ukraine

http://orcid.org/ 0000-0001-6781-9238

 

Pavlo Borodych

National University of Civil Defence of Ukraine

http://orcid.org/ 0000-0001-9933-8498

 

Tetyana Lutsenko

National University of Civil Defence of Ukraine

https://orcid.org/0000-0001-7373-4548

 

DOI: https://doi.org/10.52363/2524-0226-2022-35-16

 

Keywords: ecological safety of surface waters, integrated water quality indicator, complex water quality index

 

Аnnotation

The choice of a priority indicator of surface water quality for an integral assessment of the ecological state of the Dnieper reservoir is substantiated. The procedure for obtaining a combinatorial index of water pollution was used, the long-term dynamics of the main pollutants of the Dnieper reservoir was analyzed. The calculation of the value of the combinatorial index of water pollution and the relative assessment of the ecological state of surface waters were carried out in two stages: first, for each individual test substance and an indicator of the ecological state of surface waters, then the whole complex of pollutants was considered simultaneously and the resulting assessment was derived. This is done to minimize costs and efforts when monitoring surface waters under normal (non-emergency) conditions. As a result of research, it was established that the quality of water downstream has higher values of the combinatorial index of water pollution, due to the significant anthropogenic impact on the water body. A correlation between the complex index of water pollution and the indicator of biochemical oxygen consumption has been established. The priority indicator for the integral assessment of the ecological state of the water body – BSC5 due to the close relationship with the value of the complex index of water pollution is determined. The correlation coefficient between these values ranges from 0,92 to 0,96. The relationship that exists between the value of the combinatorial index of water pollution and the value of biochemical oxygen consumption makes the indicator of biochemical oxygen consumption important for the integral assessment of water pollution by various organic substances. Therefore, as a priority indicator for characterizing the state of the watercourse and conducting operational monitoring, the indicators of oxygen characteristics are selected. This data is useful and important because it will allow for more optimal use of limited resources when monitoring surface waters and improve river basin management.

 

References

  1. Podgorski, J., Berg, M. (2022). Global analysis and prediction of fluoride in groundwater. Nature Communications, 13(1). doi: 10.1038/s41467-022-31940-x
  2. Trach, Y., Tytkowska-Owerko, M., Reczek, L., Michel, M. (2021). Comparison the Adsorption Capacity of Ukrainian Tuff and Basalt with Zeolite–Manganese Removal from Water Solution. J. Ecol. Eng, 22, 161–168. doi: 10.12911/22998993/132605
  3. Khilchevskyi, V., Zabokrytska, M., Sherstyuk, N. (2018). Hydrography and Hydrochemistry of the Transboundary River Western Bug on the Territory of Ukraine. J. Geol. Geogr. Geoecol, 27, 232–243. doi: 10.15421/111848
  4. Trach, Y. (2020). Metoda perspektywna usuwania metali cie˛zkich z w˙ ód podziemnych zachodniej Ukrainy. Acta Sci. Pol. Archit. Bud, 19, 85–92. doi: 10.22630/ASPA.2020.19.1.9
  5. Podlasek, A., Koda, E., Markiewicz, A., Osinski, P. (2019). Identification of Processes and Migration Parameters for Conservative and Reactive Contaminants in the Soil-Water Environment: Towards a Sustainable Geoenvironment. doi: 10.1007/978-981-13-2221-1_60
  6. Grinberga, L., Grabuža, D., Gr¯ınfelde, I., Lauva, D., Celms, A., Sas, W., Głuchowski, A., Dzie˛cioł, J. (2021) Analysis of the Removal of BOD5, COD and Suspended Solids in Subsurface Flow Constructed Wetland in Latvia. Acta Sci. Polonorum. Archit, 20(4), 21–28. doi: 10.22630/ASPA.2021.20.4.31
  7. Paun, I., Cruceru, L., Chiriac, F. L., Niculescu, M., Vasile, G., Marin, N. (2016). Water quality indices - methods for evaluating the quality of drinking water, 395–402. doi: 10.21698/simi.2016.0055
  8. Shwetank, S., Chaudhary, J. (2020). A Comparative Study of Fuzzy Logic and WQI for Groundwater Quality Assessment. Procedia Comput. Sci, 171, 1194–1203. doi: 10.1016/j.procs.2020.04.128
  9. Pandey, R., Pattanaik, L. (2014). A Fuzzy QFD Approach to Implement Reverse Engineering in Prosthetic Socket Development. Int. J. Ind. Syst. Eng, 17, 1–14. doi: 10.1504/IJISE.2014.060819
  10. Rezaei, A., Hassani, H., Hassani, S., Jabbari, N., Fard Mousavi, S., Rezaei, S. (2019). Evaluation of Groundwater Quality and Heavy Metal Pollution Indices in Bazman Basin, Southeastern Iran. Groundw. Sustain. Dev, 9, 100245. doi: 10.1016/j.gsd.2019.100245
  11. Li, R., Zou, Z., An, Y. (2016). Water Quality Assessment in Qu River Based on Fuzzy Water Pollution Index Method. J. Environ. Sci, 50, 87–92. doi: 10.1016/j.jes.2016.03.030
  12. Rezaei, A., Hassani, H., Hayati, M., Jabbari, N., Barzegar, R. (2018). Risk Assessment and Ranking of Heavy Metals Concentration in Iran’s Rayen Groundwater Basin Using Linear Assignment Method. Stoch Environ. Res. Risk Assess, 32, 1317–1336. doi: 10.1007/s00477-017-1477-x
  13. Pesce, S. (2000). Use of Water Quality Indices to Verify the Impact of Córdoba City (Argentina) on Suquía River. Water Res, 34, 2915–2926. doi: 10.1016/S0043-1354(00)00036-1
  14. Jha, M. K., Shekhar, A., Jenifer, M. A. (2020). Assessing Groundwater Quality for Drinking Water Supply Using Hybrid Fuzzy-GIS-Based Water Quality Index. Water Res, 179, 115867. doi:10.1016/j.watres.2020.115867
  15. Scholten, H., Kassahun, A., Refsgaard, J. C., Kargas, T., Gavardinas, C., Beulens, A. J. M. (2007). A Methodology to Support Multidisciplinary Model-Based Water Management. Environ. Model. Softw, 22, 743–759. doi: 10.1016/j.envsoft.2005.12.025
  16. Nikolenko, Y., Fedonenko, O. (2021). Еcological assessment of the zaporizhzya (Dniprovsky) reservoir. Cientific Reports Of NULES Of Ukraine. Series: Biology, biotechnology, ecology, 4 (92). doi: 10.31548/dopovidi2021.04.004
  17. Pichura, V. I., Potravka, L. O. (2001). Ecological condition of the Dnipro river basin and improvement of the mechanism of organization of nature use on the water catchment territory. Aquatic Bioresources and Aquaculture, 1, 170–200. doi: 10.32851/wba.2021.1.14
  18. Shahman, I. O. (2019). Assessment of the ecological state and ecological reliability of the lower reaches of the Dnipro River. Environmental sciences. Scientific and practical journal, 1(24), 1, 117–120. doi: 10.32846/2306-9716-2019-1-24-1-20
  19. Buts, Y., Asotskyi, V., Kraynyuk, O., Ponomarenko, R., Kovalev, P. (2019). Dynamics of migration property of some heavy metals in soils in Kharkiv region under the influence of the pyrogenic factor. Journal of Geology, Geography and Geoecology, 28(3), 409–416. doi: 10.15421/111938
  20. Inyinbor, A A., Adebesin, B. O., Oluyori, A. P., Adelani-Akande T. A., Dada, A. O., Oreofe, T. A. (2018). Water Pollution: Effects, Prevention, and Climatic Impact. In (Ed.), Water Challenges of an Urbanizing World. Intech Open. doi: 10.5772/intechopen.72018
  21. Scrase, James, Sheate, William. (2002). Integration and Integrated Approaches to Assessment: What do they mean for the environment? Journal of Environmental Policy & Planning - J Environ Pol Plan, 4, 275–294. doi: 10.1002/jepp.117
  22. Bezsonnyi, V. (2022). Selection of indicative indicators of ecological condition of surface source of water supply. Municipal Economy of Cities, 3(170), 26–34. doi: 10.33042/2522-1809-2022-3-170-26-34
  23. Bezsonnyi, V. L., Ponomarenko, R. V., Tretyakov, O. V., Asotskyi, V. V., Kalynovskyi, A. Y. (2021). Regarding the choice of composite indicators of ecological safety of water in the basin of the Siversky Donets. Journ. Geol. Geograph. Geoecology, 30(4), 622–631. doi: 10.15421/112157
  24. Nika, C., Gusmaroli, L., Ghafourian, M., Atanasova, N., Buttiglieri, G., Katsou, E. (2020). Nature-based solutions as enablers of circularity in water systems: A review on assessment methodologies, tools and indicators, Water Research, 183, 115988. doi: 10.1016/j.watres.2020.115988
  25. Buchelnikov, M. A., Bik, Y. I., Kofeeva, V. N., Bereza, I. G. (2021). An integral method for assessing the impact of dredging on the ecological state of river water resources. Paper presented at the IOP Conference Series: Earth and Environmental Science, 867(1). doi: 10.1088/1755-1315/867/1/012035
  26. Khilchevskyi, V., Netrobchuk, I., Sherstyuk, N., Zabokrytska, M. (2022). Environmental assessment of the quality of surface waters in the upper reaches of the Pripyat basin in Ukraine using different methods. Journal of Geology, Geography and Geoecology, 31(1), 71–80. doi: 10.15421/112207
  27. Zhuk, V. M., Korobkova, G. V. (2015). The integrated assessment of a current state of the Siversky Donets river withing the Kharkiv region. Man and Environment. Issues of Neoecology, (1–2(23)), 103–109.