Development of a Software Package for Environmental Risk Assessment Based on Materials of Repeated Remote Surveys

This paper presents the development of a model version of a software package for analyzing the dynamics of dangerous exogenous processes in view of the assessment of natural risks. The work was performed with thermokarst processes and subsidence processes affecting linear engineering structures as e...

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Bibliographic Details
Published in:Izvestiya. Atmospheric and oceanic physics 2018-12, Vol.54 (9), p.1320-1326
Main Authors: Viktorov, A. S., Berezin, P. V., Kapralova, V. N.
Format: Article
Language:English
Subjects:
Climatology
Computer programs
Computer software
Earth and Environmental Science
Earth Sciences
Environmental assessment
Environmental risk
Geophysics/Geodesy
Mathematical analysis
Mathematical models
Methods and Means of Satellite Data Processing and Interpretation
Polls & surveys
Probability theory
Risk assessment
Software
Software engineering
Software packages
Structural damage
Submarine pipelines
Surveys
Thermokarst
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Summary:This paper presents the development of a model version of a software package for analyzing the dynamics of dangerous exogenous processes in view of the assessment of natural risks. The work was performed with thermokarst processes and subsidence processes affecting linear engineering structures as examples. Software package development was based on the use of mathematical landscape morphology approaches and the corresponding mathematical models of the morphological structure. Both the expansion of existing foci and the emergence of new foci during pipeline operation were considered in the software package as causes of damage to a linear engineering structure. Decisions on the probability of damage to the structure were based on the corresponding model. The materials of repeated remote surveys served as the input data for the software package, and the probability of damage to the engineering structure within a given time was calculated as a result.
ISSN:0001-4338
1555-628X
DOI:10.1134/S0001433818090402