Abstract
This paper presents a new technique of comprehensive analytical estimation of natural and anthropogenic territory safety based on the creation of a geographically-oriented safety standard and integral assessment of the state of environment and technosphere objects. The standard presents a normative model that provides a correct estimation of territory safety taking into account its individual characteristics. The basic elements and principles of territory safety standard creation are suggested in this paper. In order to estimate territory safety, the authors propose an algorithm to calculate the estimate of territory safety as an integral estimate of the comprehensive indicator based on the multidimensional estimates of the basic indicators using the results of on-line analytical processing of monitoring data. In contrast to existing methods, the proposed algorithm uses the ranges of the normative values and assesses the significance of indicators change relative to standard ranges, it allows us to regulate the velocity of estimates change when the actual values of the indicators deviate from the normative ranges. Also, the author’s technique is oriented at forming the multidimensional estimates in the context of several observation points. Proposed solutions are described through their application to the territories of the Krasnoyarsk region.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Beroggi. G., Wallace, W.A.: Operational Risk Management: The Integration of Decision, Communications and Multimedia Technologies. Springer (2012)
Haddow, G., Bullock, J., Coppola, D.P.: Introduction to Emergency Management. Butterworth-Heinemann, Oxford (2017)
Mahutov, N.A.: Bezopasnost’ i riski: sistemnyye issledovaniya i razrabotki [Safety and Risks: System Research and Development], Novosibirsk (2017). (in Russian)
Bolov, V.R., Bogotyrev, E.Ya., Bykov, A.A., et al.: Sovremennyye sistemy monitoringa i prognozirovaniya chrezvychaynykh situatsiy [Modern monitoring and forecasting system of emergencies], Moscow (2013). (in Russian)
Osipov, V.I., Larionov, V.I., Burova, V.N., Frolova, N.I., Sushchev, S.P.: Methodology of natural risk assessment in Russia. Nat. Hazards 88, 17–41 (2017). https://doi.org/10.1007/s11069-017-2780-z
Yamalov, I.U.: Modelirovaniye protsessov upravleniya i prinyatiya resheniy v usloviyakh chrezvychaynykh situatsiy [Modeling of management and decision-making processes in emergency situations], Moscow (2013). (in Russian)
Moskvichev, V.V., Bychkov, I.V., Potapov, V.P., Taseiko, O.V., Shokin, Yu.I.: Informatsionnaya sistema territorial’nogo upravleniya riskami razvitiya i bezopasnost’yu [Information system for territorial risk and safety management development]. Vestnik RAN [Herald of the Russian Academy of Sciences], N 8, vol. 87, pp. 696–705 (2017). (in Russian)
Faleev, M.I., Malyshev V.P., Makiev Yu.D., et al.: Ranneye preduprezhdeniye o chrezvychaynykh situatsiyakh [Early prevention of emergencies] (2015). (in Russian)
Penkova, T., Nicheporchuk, V., Metus, A.: Comprehensive operational control of the natural and anthropogenic territory safety based on analytical indicators. In: Polkowski, L., Yao, Y., Artiemjew, P., Ciucci, D., Liu, D., Ślęzak, D., Zielosko, B. (eds.) IJCRS 2017, Part I. LNCS (LNAI), vol. 10313, pp. 263–270. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-60837-2_22
Penkova, T.G., Korobko, A.V., Nicheporchuk, V.V., Nozhenkova, L.F.: On-line modelling and assessment of the state of technosphere and environment objects based on monitoring data. Procedia Comput. Sci. 35, 156–165 (2014). https://doi.org/10.1016/j.procs.2014.08.095. 18th Annual Conference on Knowledge-Based and Intelligent Information & Engineering Systems
Metus, A.M.: Aktual’nyye zadachi kompleksnogo otsenivaniya prirodno-tekhnogennoy bezopasnosti territorii [Actual issues for comprehensive estimation of natural and technogenic safety of the territory]. Molodoy uchenyy [Young scientist] 11, 89–92 (2015). (in Russian)
Gosudarstvennyy doklad o sostoyanii zashchity naseleniya i territoriy Krasnoyarskogo kraya ot chrezvychaynykh situatsiy prirodnogo i tekhnogennogo kharaktera: Glavnoye upravleniye MCHS Rossii po Krasnoyarskomu krayu [The State of Natural and Anthropogenic Emergencies Protection of Territory and Population in the Krasnoyarsk Region. Annual Report of Ministry of Emergency], Krasnoyarsk (2018). (in Russian)
Moskvichev, V.V., Shokin, Yu.I.: Antropogennyye i prirodnyye riski na territorii Sibiri [Anthropogenic and natural risks on the territory of Siberia]. Vestnik RAN [Herald of the Russian Academy of Sciences], N 2, vol. 82, pp. 131–140 (2012). (in Russian)
Penkova T.G., Metus A.M.: Kontseptual’naya model’ integral’nogo analiticheskogo otsenivaniya prirodno-tekhnogennoy bezopasnosti territorii [Conceptual model of integral analytical estimation of natural and technogenic territory safety]. Informatizatsiya i svyaz’ [Informatization and communication], N 2, pp. 65–71 (2016). (in Russian)
Nicheporchuk, V., Penkova, T., Metus, A.: Formirovaniye standarta prirodno-tekhnogennoy bezopasnosti territoriy Krasnoyarskogo kraya [Formation of the standard of natural and technogenic safety of the Krasnoyarsk territory]. Problemy bezopasnosti i chrezvychaynykh situatsiy [Safety and emergencies problems], N 2, pp. 41–52 (2018). (in Russian)
Penkova, T.: Analysis of natural and technogenic safety of the Krasnoyarsk region based on data mining techniques. In: Link, S., Trujillo, J.C. (eds.) ER 2016. LNCS, vol. 9975, pp. 102–112. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47717-6_9
Nicheporchuk, V., Penkova, T.: Sistema analiticheskikh pokazateley dlya strategicheskogo kontrolya prirodno-tekhnogennoy bezopasnosti territoriy [The system of analytical indicators for strategic control of the natural and technogenic territory safety]. Problemy analiza riska [Issues of risk analysis], N 1, vol. 15. pp. 70–77 (2018). (in Russian)
Glantz S.A. Primer of Biostatistics (1999)
Penkova, T.: Decision making support technique based on territory wellbeing estimation. In: Neves-Silva, R., Jain, L.C., Howlett, R.J. (eds.) Intelligent Decision Technologies. SIST, vol. 39, pp. 513–523. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-19857-6_44
Penkova, T.: Method of wellbeing estimation in territory management. In: Murgante, B., et al. (eds.) ICCSA 2014, Part IV. LNCS, vol. 8582, pp. 57–68. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-09147-1_5
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Penkova, T., Metus, A. (2019). Method of Comprehensive Estimation of Natural and Anthropogenic Territory Safety in the Case of Krasnoyarsk Region. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11619. Springer, Cham. https://doi.org/10.1007/978-3-030-24289-3_31
Download citation
DOI: https://doi.org/10.1007/978-3-030-24289-3_31
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-24288-6
Online ISBN: 978-3-030-24289-3
eBook Packages: Computer ScienceComputer Science (R0)