Nothing Special   »   [go: up one dir, main page]

Skip to main content

Method of Comprehensive Estimation of Natural and Anthropogenic Territory Safety in the Case of Krasnoyarsk Region

  • Conference paper
  • First Online:
Computational Science and Its Applications – ICCSA 2019 (ICCSA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11619))

Included in the following conference series:

  • 1406 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Beroggi. G., Wallace, W.A.: Operational Risk Management: The Integration of Decision, Communications and Multimedia Technologies. Springer (2012)

    Google Scholar 

  2. Haddow, G., Bullock, J., Coppola, D.P.: Introduction to Emergency Management. Butterworth-Heinemann, Oxford (2017)

    Google Scholar 

  3. Mahutov, N.A.: Bezopasnost’ i riski: sistemnyye issledovaniya i razrabotki [Safety and Risks: System Research and Development], Novosibirsk (2017). (in Russian)

    Google Scholar 

  4. 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)

    Google Scholar 

  5. 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

    Article  Google Scholar 

  6. 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)

    Google Scholar 

  7. 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)

    Google Scholar 

  8. Faleev, M.I., Malyshev V.P., Makiev Yu.D., et al.: Ranneye preduprezhdeniye o chrezvychaynykh situatsiyakh [Early prevention of emergencies] (2015). (in Russian)

    Google Scholar 

  9. 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

    Chapter  Google Scholar 

  10. 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

    Article  Google Scholar 

  11. 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)

    Google Scholar 

  12. 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)

    Google Scholar 

  13. 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)

    Article  Google Scholar 

  14. 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)

    Google Scholar 

  15. 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)

    Google Scholar 

  16. 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

    Chapter  Google Scholar 

  17. 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)

    Google Scholar 

  18. Glantz S.A. Primer of Biostatistics (1999)

    Google Scholar 

  19. 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

    Chapter  Google Scholar 

  20. 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

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tatiana Penkova .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

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)

Publish with us

Policies and ethics