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Penkova, T.
Metus, A.
2020-01-20T08:03:58Z
2020-01-20T08:03:58Z
2019-06
Penkova, T. Method of Comprehensive Estimation of Natural and Anthropogenic Territory Safety in the Case of Krasnoyarsk Region [Текст] / T. Penkova, A. Metus // Lecture Notes in Computer Science: Computational Science and Its Applications – ICCSA 2019. — 2019. — Т. 11619. — С. 421-433
03029743
https://link.springer.com/chapter/10.1007/978-3-030-24289-3_31
https://elib.sfu-kras.ru/handle/2311/129782
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.
Prevention of emergencies
Estimation of natural and anthropogenic safety
Geographically-oriented standard
Territorial management
Method of Comprehensive Estimation of Natural and Anthropogenic Territory Safety in the Case of Krasnoyarsk Region
Journal Article
Journal Article Preprint
421-433
20.23.25
2020-01-20T08:03:58Z
10.1007/978-3-030-24289-3_31
Институт космических и информационных технологий
Кафедра информатики
Lecture Notes in Computer Science
Q2
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