FORMATION OF SEPARATE TASKS OF MATHEMATICAL MODEL OF ENGINEERING AND TECHNICAL METHOD OF EMERGENCY PREVENTION AFTER EMERGENCY DISEASES OF TECHNOLOGIES

  • V. Loboichenko National University of Civil Defence of Ukraine
Keywords: emergency, prevention, pollutant, electrical conductivity, coefficient of identification, soil, aqueous extract.

Abstract

The state-of-the-art world is characterized by an increase in the needs and population and, consequently, an increase in the number and capacity of man-made facilities, including potentially dangerous ones. The effects of natural phenomena, human factors, outdated and worn-out equipment, impaired or imperfect technological processes, other factors can cause accidents at these sites and cause emergencies. An important prevention of man-made hazards is early warning of them.

The ingress of chemical contaminants into the environment due to such emergencies can increase the magnitude of its consequences. Knowledge about their features behavior in emergency situations is an important element in preventing emergencies. The above clearly indicates the need for effective engineering and technical methods of emergencies prevention, caused by accidents at the technological equipment of potentially dangerous objects and worsen the living conditions of the people and environment pollution.

Most nowaday states and international organizations today point out the need to prevent emergencies of man-made origin. The programs developed also include the use of certain methods of environmental studies as part of the prevention of emergencies. Worldwide use various mathematical, physico-chemical, chemometric approaches, contact and distance methods to evaluate the state of water bodies and soils.

For the most part, they are high-cost, insufficiently informative, lasting in implementation. There is a need for inexpensive, express and informative methods of preventing emergencies related to accidents at man-made facilities, including potentially dangerous ones.

The paper proposes the solution of separate tasks of the engineering and technical method of emergency prevention in consequence of accidents at the technological equipment of potentially dangerous objects, with use of electrical conductivity and coefficient of identification, approaches which are tested on the example of one of man-made objects.

Author Biography

V. Loboichenko, National University of Civil Defence of Ukraine
CPh.D., Senior Research Fellow, Associate Professor of the Department of Labor Protection and Technogenic and Ecological Safety

References

Baxter, P.J., Mahoney, P.F., Greaves, I., Bowyer, G. (2002) Catastrophes - Natural and Man-Made Disasters. Conflict and Catastrophe Medicine. Springer, London. DOI https://doi.org/10.1007/978-1-4471-0215-1_3.

Informatsiyno – analitychna dovidka pro vynyknennya nadzvychaynykh sytuatsiy v Ukrayini u 2017 rotsi. (n.d.) Retrieved from: https://www.dsns.gov.ua/ua/Dovidka-za-kvartal/72899.html.

United Nations.International Decade for Natural Disaster. Reduction IDNDR (1997). Early Warning Programme Report on Early Warning for Technological Hazards. Peter Krejsa and Convener of International Working Group, Austrian research Centre Seibersdorf Austria. IDNDR Secretariat, Geneva October 1997. Retrieved from: https://www.unisdr.org/2006/ppew/whats-ew/pdf/report-on-ew-for-technological-hazards.pdf

Ukaz Prezydenta Ukrayiny «Pro Kontseptsiyu zakhystu naselennya i terytoriy u razi zahrozy ta vynyknennya nadzvychaynykh sytuatsiy» vid 26 bereznya 1999 roku № 284/99. Retrieved from: http://zakon2.rada.gov.ua/laws/show/284/99/print.

Pro zatverdzhennya Metodyky identyfikatsiyi potentsiyno nebezpechnykh ob'yektiv: Nakaz Ministerstva Ukrayiny z pytanʹ nadzvychaynykh sytuatsiy ta u spravakh zakhystu naselennya vid naslidkiv Chornobylʹsʹkoyi katastrofy vid 23.02.2006 № 98. Retrieved from: http://zakon.rada.gov.ua/laws/show/z0286-06.

Pro zatverdzhennya Polozhennya pro Operatyvno-ryatuvalʹnu sluzhbu tsyvilʹnoho zakhystu Derzhavnoyi sluzhby Ukrayiny z nadzvychaynykh sytuatsiy: Nakaz MVS vid 03.07.2014 № 631.Retrieved from: http://zakon.rada.gov.ua/laws/show/z0853-14.

A Strategic Framework for Emergencv Preparedness (2017). Printed by the WHO Document Production Services, Geneva, Switzerland, 16. Retrieved from: https://www.medbox.org/a-strategic-framework-for-emergency-preparedness/download.pdf.

Guidance on Water Supply and Sanitation In Extreme Weather Events (2011). Edited by L. Sinisi and R. Aertgeerts, 128. Retrieved from: http://www.euro.who.int/__data/assets/pdf_file/0011/165665/e96163.pdf.

Guide for major hazard facilities: emergency plans (2012). Safe Work Australia, 52. Retrieved from: https://www.safeworkaustralia.gov.au/system/files/documents/1702/emergency_plans.doc.

Bing Wang, Chao Wu, Lang Huang, Laobing Zhang, Liangguo Kang, Kaixin Gao. (2018). Prevention and control of major accidents (MAs) and particularly serious accidents (PSAs) in the industrial domain in China: Current status, recent efforts and future prospects. Process Safety and Environmental Protection, 117, 254 - 266, https://doi.org/10.1016/j.psep.2018.04.025.

Resource Conservation and Recovery Act (RCRA) Laws and Regulations. Retrieved from: https://www.epa.gov/rcra.

Daniel A. Vallero. Chapter 27 - Hazardous Wastes. Editor(s): Trevor M. Letcher, Daniel A. Vallero. Waste, ,

Hazardous Waste Test Methods.SW-846.(n.d.). Retrieved from: https://www.epa.gov/hw-sw846.

Kaluhin. V.D., Tyutyunyk V.V., Chornohor L.F., Shevchenko R.I. (2013). Rozrobka naukovo-tekhnichnykh osnov dlya stvorennya systemy monitorynhu, poperedzhennya ta likvidatsiyi nadzvychaynykh sytuatsiy pryrodnoho ta tekhnohennoho kharakteru ta zabezpechennya ekolohichnoyi bezpeky. Systemy obrobky informatsiyi. № 9(116). S. 204 - 216.

Yurkin M.A., Latyshenko K.P., Semenov Ye. S. (2019). Preduprezhdeniye chrezvychaynykh situatsiy s primeneniyem sovremennykh informatsionnykh tekhnologiy. Nauchnyye i obrazovatel'nyye problemy grazhdanskoy zashchity. №. 1 (40), S. 40 - 45.

Byungtae Yoo and Sang D. Choi. (2019). Emergency Evacuation Plan for Hazardous Chemicals Leakage Accidents Using GIS-based Risk Analysis Techniques in South Korea. International Journal of Environmental Research and Public Health. 16, 1948, doi:10.3390/ijerph16111948.

Seongbong Heo, Moonil Kim, Hangnan Yu, Woo-Kyun Lee, Jong Ryeul Sohn, Soon-Young Jung, Kyong Whan Moon, Sang Hoon Byeon. (2018). Chemical accident hazard assessment by spatial analysis of chemical factories and accident records in South Korea. International Journal of Disaster Risk Reduction, 27, 37 - 47, https://doi.org/10.1016/j.ijdrr.2017.09.016.

G. Verreydt, I. Van Keer, J. Bronders, L. Diels, P. Vanderauwera. (2012). Flux-based risk management strategy of groundwater pollutions: the CMF approach. Environmental Geochemistry and Health. Volume 34, Issue 6, P. 725 – 736. https://doi.org/10.1007/s10653-012-9491-x.

Puze Wang, Jiping Yao, Guoqiang Wang, Fanghua Hao, Sangam Shrestha, Baolin Xue, Gang Xie, Yanbo Peng. (2019). Exploring the application of artificial intelligence technology for identification of water pollution characteristics and tracing the source of water quality pollutants. Science of The Total Environment, Volume 693. 133440 https://doi.org/10.1016/j.scitotenv.2019.07.246.

Fikret Ustaoğlu, Yalçin Tepe. (2019). Water quality and sediment contamination assessment of Pazarsuyu Stream, Turkey using multivariate statistical methods and pollution indicators. International Soil and Water Conservation Research. Volume 7, Issue 1, P. 47 - 56.

Valinia, S., Englund, G., Moldan, F., Futter, MN, Köhler, S.J., Bishop, K., Fölster, J. (2014). «Assessing anthropogenic impact on boreal lakes with historical fish species distribution data and hydrogeochemical modeling» Glob Chang Biol. Sep;20(9), P. 2752 - 2764. doi: 10.1111/gcb.12527.

Kurwadkar, S. (2017). Groundwater Pollution and Vulnerability Assessment. Water Environ. Res. 89 (10). P. 1561 - 1579. doi: 10.2175/106143017X15023776270584.

Palma, P., Alvarenga, P., Palma, V.L. et al. (2010). Assessment of anthropogenic sources of water pollution using multivariate statistical techniques: a case study of the Alqueva’s reservoir, Portugal. Environ. Monit. Assess. 165 (1-4), Р. 539 - 552. https://doi.org/10.1007/s10661-009-0965-y.

Roger Brewer, John Peard & Marvin Heskett. (2017). A Critical Review of Discrete Soil Sample Data Reliability: Part 2—Implications, Soil and Sediment Contamination: An International Journal. 26:1. Р. 23 - 44, DOI: 10.1080/15320383.2017.1244172.

Tang, X., Shen, C., Chen, L., Xiao, X., Wu, J.,. Khan, I.M., Dou, Ch., Chen, Y. (2010). Journal of Soils and Sediments. Volume 10, Issue 5, Р. 895 – 906. https://doi.org/10.1007/s11368-010-0252-0.

Kumar, P. & Fulekar, M.H. (2019). Multivariate and statistical approaches for the evaluation of heavy metals pollution at e-waste dumping sites. SN Applied Sciences. 1: 1506. https://doi.org/10.1007/s42452-019-1559-0/

Yu, L., Cheng, J., Zhan, J., Jiang, А. (2016). Environmental quality and sources of heavy metals in the topsoil based on multivariate statistical analyses: a case study in Laiwu City, Shandong Province, China. Natural Hazards. Volume 81, Issue 3, P. 1435 – 1445. https://doi.org/10.1007/s11069-015-2130-y.

L. Bityukova, A. Shogenova, M. Birke. (2000). Urban geochemistry: A study of element distributions in the soils of Tallinn (Estonia). Environmental Geochemistry and Health., Volume 22, Issue 2. P. 173 – 193.

Kowalska, J.B., Mazurek, R., Gąsiorek, M., Zaleski, Z. (2018). Pollution indices as useful tools for the comprehensive evaluation of the degree of soil contamination – A review. Environmental Geochemistry and Health. Volume 40, Issue 6. P. 2395 –2420. https://doi.org/10.1007/s10653-018-0106-z

Demková, L., Árvay, J., Bobuľská, L. Hauptvogl, М., Hrstková, М. (2019). Open mining pits and heaps of waste material as the source of undesirable substances: biomonitoring of air and soil pollution in former mining area (Dubnik, Slovakia). Environmental Science and Pollution Research. P. 1 – 13 https://doi.org/10.1007/s11356-019-06582-0.

Loboichenko, V., Strelec, V. (2018). The natural waters and aqueous solutions express-identification as element of determination of possible emergency situation. Water and Energy International. Volume 61/RNI, № 9. P. 43 - 51.

Loboichenko, V. M., Vasyukov, A. E., Tishakova, T. S. (2017). Investigations of Mineralization of Water Bodies on the Example of River Waters of Ukraine. Asian Journal of Water, Environment and Pollution. Volume 14, Issue 4. P. 37 – 41. doi: https://doi.org/10.3233/ajw-170035 .

Dvorkin, V.I. (2001) Metrologiya i obespecheniye kachestva kolichestvennogo khimicheskogo analiza / M.: Khimiya, 263.

A. Vasyukov, V. Loboichenko and S. Bushtec. (2016). Identification of bottled natural waters by using direct conductometry. Ecology, Environment and Conservation. Volume 22 (3). P. 1171 – 1176.

Published
2019-12-28
How to Cite
LoboichenkoV. (2019). FORMATION OF SEPARATE TASKS OF MATHEMATICAL MODEL OF ENGINEERING AND TECHNICAL METHOD OF EMERGENCY PREVENTION AFTER EMERGENCY DISEASES OF TECHNOLOGIES. Municipal Economy of Cities, 6(152), 224-232. Retrieved from https://khg.kname.edu.ua/index.php/khg/article/view/5520