Geoinformational prognostic model of mudflows hazard and mudflows risk for the territory of Ukrainian Carpathians

The article is devoted to the geological issue of the space-time regional prognostication of mudflow hazard. The methodology of space-time prediction of mudflows hazard by creating GIS predictive model has been developed. Using GIS technologies the relevant and representative complex of significant...

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Main Authors: Chepurna Tetiana B., Kuzmenko Eduard D., Chepurnyj Igor V.
Format: Article
Language:English
Published: Sciendo 2017-06-01
Series:Contemporary Trends in Geoscience
Subjects:
Online Access:http://www.degruyter.com/view/j/ctg.2017.6.issue-1/ctg-2017-0005/ctg-2017-0005.xml?format=INT
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spelling doaj-c0ecd7faef4f454b92efafc4fb2fc8cc2020-11-24T22:04:55ZengSciendoContemporary Trends in Geoscience2299-81792017-06-0161576910.1515/ctg-2017-0005ctg-2017-0005Geoinformational prognostic model of mudflows hazard and mudflows risk for the territory of Ukrainian CarpathiansChepurna Tetiana B.0Kuzmenko Eduard D.1Chepurnyj Igor V.2Department of Geotehnohenic safety and Geoinformatics, Institute of Geology and Geophisics, National Technical University of Oil and Gas, 15 Karpatska street, Ivano-Frankivsk, UkraineDepartment of Geotehnohenic safety and Geoinformatics, Institute of Geology and Geophisics, National Technical University of Oil and Gas, 15 Karpatska street, Ivano-Frankivsk, UkraineDepartment of Geotehnohenic safety and Geoinformatics, Institute of Geology and Geophisics, National Technical University of Oil and Gas, 15 Karpatska street, Ivano-Frankivsk, UkraineThe article is devoted to the geological issue of the space-time regional prognostication of mudflow hazard. The methodology of space-time prediction of mudflows hazard by creating GIS predictive model has been developed. Using GIS technologies the relevant and representative complex of significant influence of spatial and temporal factors, adjusted to use in the regional prediction of mudflows hazard, were selected. Geological, geomorphological, technological, climatic, and landscape factors have been selected as spatial mudflow factors. Spatial analysis is based on detection of a regular connection of spatial factor characteristics with spatial distribution of the mudflow sites. The function of a standard complex spatial index (SCSI) of the probability of the mudflow sites distribution has been calculated. The temporal, long-term prediction of the mudflows activity was based on the hypothesis of the regular reiteration of natural processes. Heliophysical, seismic, meteorological, and hydrogeological factors have been selected as time mudflow factors. The function of a complex index of long standing mudflow activity (CIMA) has been calculated. The prognostic geoinformational model of mudflow hazard up to 2020 year, a year of the next peak of the mudflows activity, has been created. Mudflow risks have been counted and carogram of mudflow risk assessment within the limits of administrative-territorial units has been built for 2020 year.http://www.degruyter.com/view/j/ctg.2017.6.issue-1/ctg-2017-0005/ctg-2017-0005.xml?format=INTmudflowsmudflows hazardtemporal factorsspatial factorsgeoinformational model
collection DOAJ
language English
format Article
sources DOAJ
author Chepurna Tetiana B.
Kuzmenko Eduard D.
Chepurnyj Igor V.
spellingShingle Chepurna Tetiana B.
Kuzmenko Eduard D.
Chepurnyj Igor V.
Geoinformational prognostic model of mudflows hazard and mudflows risk for the territory of Ukrainian Carpathians
Contemporary Trends in Geoscience
mudflows
mudflows hazard
temporal factors
spatial factors
geoinformational model
author_facet Chepurna Tetiana B.
Kuzmenko Eduard D.
Chepurnyj Igor V.
author_sort Chepurna Tetiana B.
title Geoinformational prognostic model of mudflows hazard and mudflows risk for the territory of Ukrainian Carpathians
title_short Geoinformational prognostic model of mudflows hazard and mudflows risk for the territory of Ukrainian Carpathians
title_full Geoinformational prognostic model of mudflows hazard and mudflows risk for the territory of Ukrainian Carpathians
title_fullStr Geoinformational prognostic model of mudflows hazard and mudflows risk for the territory of Ukrainian Carpathians
title_full_unstemmed Geoinformational prognostic model of mudflows hazard and mudflows risk for the territory of Ukrainian Carpathians
title_sort geoinformational prognostic model of mudflows hazard and mudflows risk for the territory of ukrainian carpathians
publisher Sciendo
series Contemporary Trends in Geoscience
issn 2299-8179
publishDate 2017-06-01
description The article is devoted to the geological issue of the space-time regional prognostication of mudflow hazard. The methodology of space-time prediction of mudflows hazard by creating GIS predictive model has been developed. Using GIS technologies the relevant and representative complex of significant influence of spatial and temporal factors, adjusted to use in the regional prediction of mudflows hazard, were selected. Geological, geomorphological, technological, climatic, and landscape factors have been selected as spatial mudflow factors. Spatial analysis is based on detection of a regular connection of spatial factor characteristics with spatial distribution of the mudflow sites. The function of a standard complex spatial index (SCSI) of the probability of the mudflow sites distribution has been calculated. The temporal, long-term prediction of the mudflows activity was based on the hypothesis of the regular reiteration of natural processes. Heliophysical, seismic, meteorological, and hydrogeological factors have been selected as time mudflow factors. The function of a complex index of long standing mudflow activity (CIMA) has been calculated. The prognostic geoinformational model of mudflow hazard up to 2020 year, a year of the next peak of the mudflows activity, has been created. Mudflow risks have been counted and carogram of mudflow risk assessment within the limits of administrative-territorial units has been built for 2020 year.
topic mudflows
mudflows hazard
temporal factors
spatial factors
geoinformational model
url http://www.degruyter.com/view/j/ctg.2017.6.issue-1/ctg-2017-0005/ctg-2017-0005.xml?format=INT
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