Modeling of Influence of Climate Change Character on the Territory of the Cryolithozone on the Value of Risks for the Road Network

The level of climate risks is proposed to be estimated by the amount of thawing soil settlement in the formation of automobile roads, corresponding to the accepted scenario of the climate change. An updated algorithm is presented, according to which the average risk assessment for a 4-year period is...

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Published in:International Journal of Online and Biomedical Engineering (iJOE)
Main Authors: Yury Vasilievich Trofimenko, Anatoly Nikolaevich Yakubovich, Irina Anatolievna Yakubovich, Elena Vldimirovna Shashina
Format: Article in Journal/Newspaper
Language:English
Published: International Association of Online Engineering (IAOE) 2020
Subjects:
Online Access:https://doi.org/10.3991/ijoe.v16i07.14557
https://doaj.org/article/810a94e3c38a45faafdf56cdd4221428
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spelling ftdoajarticles:oai:doaj.org/article:810a94e3c38a45faafdf56cdd4221428 2023-05-15T18:45:28+02:00 Modeling of Influence of Climate Change Character on the Territory of the Cryolithozone on the Value of Risks for the Road Network Yury Vasilievich Trofimenko Anatoly Nikolaevich Yakubovich Irina Anatolievna Yakubovich Elena Vldimirovna Shashina 2020-06-01T00:00:00Z https://doi.org/10.3991/ijoe.v16i07.14557 https://doaj.org/article/810a94e3c38a45faafdf56cdd4221428 EN eng International Association of Online Engineering (IAOE) https://online-journals.org/index.php/i-joe/article/view/14557 https://doaj.org/toc/2626-8493 2626-8493 doi:10.3991/ijoe.v16i07.14557 https://doaj.org/article/810a94e3c38a45faafdf56cdd4221428 International Journal of Online and Biomedical Engineering, Vol 16, Iss 07, Pp 65-74 (2020) climate change road network cryolithozone modeling soil thawing climate risks Computer applications to medicine. Medical informatics R858-859.7 article 2020 ftdoajarticles https://doi.org/10.3991/ijoe.v16i07.14557 2022-12-31T11:44:13Z The level of climate risks is proposed to be estimated by the amount of thawing soil settlement in the formation of automobile roads, corresponding to the accepted scenario of the climate change. An updated algorithm is presented, according to which the average risk assessment for a 4-year period is divided into a risk assessment for individual years. Calculations performed for the climatic conditions of Yakutsk and Urengoy establish a significant dependence of the predicted risk on the warming pattern. The level of risk predicted when the average annual air temperature increases by 2 degrees is estimated as average (up to 526 points on a 1000-point scale). The most appropriate method of reducing this risk is to perform timely repairs to bring the road to the standard technical and operational condition without the use of special technologies for regulating the temperature regime of soil. Article in Journal/Newspaper Yakutsk Directory of Open Access Journals: DOAJ Articles Yakutsk Urengoy ENVELOPE(78.437,78.437,65.960,65.960) International Journal of Online and Biomedical Engineering (iJOE) 16 07 65
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic climate change
road network
cryolithozone
modeling
soil thawing
climate risks
Computer applications to medicine. Medical informatics
R858-859.7
spellingShingle climate change
road network
cryolithozone
modeling
soil thawing
climate risks
Computer applications to medicine. Medical informatics
R858-859.7
Yury Vasilievich Trofimenko
Anatoly Nikolaevich Yakubovich
Irina Anatolievna Yakubovich
Elena Vldimirovna Shashina
Modeling of Influence of Climate Change Character on the Territory of the Cryolithozone on the Value of Risks for the Road Network
topic_facet climate change
road network
cryolithozone
modeling
soil thawing
climate risks
Computer applications to medicine. Medical informatics
R858-859.7
description The level of climate risks is proposed to be estimated by the amount of thawing soil settlement in the formation of automobile roads, corresponding to the accepted scenario of the climate change. An updated algorithm is presented, according to which the average risk assessment for a 4-year period is divided into a risk assessment for individual years. Calculations performed for the climatic conditions of Yakutsk and Urengoy establish a significant dependence of the predicted risk on the warming pattern. The level of risk predicted when the average annual air temperature increases by 2 degrees is estimated as average (up to 526 points on a 1000-point scale). The most appropriate method of reducing this risk is to perform timely repairs to bring the road to the standard technical and operational condition without the use of special technologies for regulating the temperature regime of soil.
format Article in Journal/Newspaper
author Yury Vasilievich Trofimenko
Anatoly Nikolaevich Yakubovich
Irina Anatolievna Yakubovich
Elena Vldimirovna Shashina
author_facet Yury Vasilievich Trofimenko
Anatoly Nikolaevich Yakubovich
Irina Anatolievna Yakubovich
Elena Vldimirovna Shashina
author_sort Yury Vasilievich Trofimenko
title Modeling of Influence of Climate Change Character on the Territory of the Cryolithozone on the Value of Risks for the Road Network
title_short Modeling of Influence of Climate Change Character on the Territory of the Cryolithozone on the Value of Risks for the Road Network
title_full Modeling of Influence of Climate Change Character on the Territory of the Cryolithozone on the Value of Risks for the Road Network
title_fullStr Modeling of Influence of Climate Change Character on the Territory of the Cryolithozone on the Value of Risks for the Road Network
title_full_unstemmed Modeling of Influence of Climate Change Character on the Territory of the Cryolithozone on the Value of Risks for the Road Network
title_sort modeling of influence of climate change character on the territory of the cryolithozone on the value of risks for the road network
publisher International Association of Online Engineering (IAOE)
publishDate 2020
url https://doi.org/10.3991/ijoe.v16i07.14557
https://doaj.org/article/810a94e3c38a45faafdf56cdd4221428
long_lat ENVELOPE(78.437,78.437,65.960,65.960)
geographic Yakutsk
Urengoy
geographic_facet Yakutsk
Urengoy
genre Yakutsk
genre_facet Yakutsk
op_source International Journal of Online and Biomedical Engineering, Vol 16, Iss 07, Pp 65-74 (2020)
op_relation https://online-journals.org/index.php/i-joe/article/view/14557
https://doaj.org/toc/2626-8493
2626-8493
doi:10.3991/ijoe.v16i07.14557
https://doaj.org/article/810a94e3c38a45faafdf56cdd4221428
op_doi https://doi.org/10.3991/ijoe.v16i07.14557
container_title International Journal of Online and Biomedical Engineering (iJOE)
container_volume 16
container_issue 07
container_start_page 65
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