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Title: LANDSLIDE PROCESSES’ IMPACT ON AUTOMOBILE ROAD CHARACTERISTICS
LANDSLIDE PROCESSES’ IMPACT ON AUTOMOBILE ROAD CHARACTERISTICS

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A. Kairanbayeva; Zh. Zhantayev; G. Nurpeissova; D. Panyukova; A. Kiyalbayev
10.5593/sgem2022/2.1/s09.30
10.5593/sgem2022/2.1
1314-2704
978-619-7603-40-8
English
22
2.1
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Geodesy and Mine Surveying
The research is part of the “Design of an intelligent system to forecast landslides' processes and their influence on the roads' technical and operational characteristics” project financed by the Ministry of Education and Science of the Republic of Kazakhstan by AP09260066 program.
The research goal is in surveying deformed parts of “Almaty-Cosmostation” automobile road nearby critical slopes to identify in the next phases the causes of pavement degradation and formulate then the recommendation to prevent such degeneration. This site was chosen due to the extreme danger associated with the possible closure of the river flowing through the gorges along the road under study due to a landslide slope. This can lead to a change in the riverbed, the formation of a strong water flow, which will create a danger to the population, will lead to significant material damage.
Main results. Within the framework of this project, new knowledge will be gained in the theory of forecasting the occurrence of landslide processes and their impact on the technical and economic indicators of highways, which undoubtedly has applied significance and contributes to the widespread introduction of intelligent systems for forecasting and making industry decisions. Detailed engineering and geological research of deformed parts of “Almaty-Cosmostation” automobile road nearby critical slopes are provided. The article results with the field researches to formulate causes of deterioration of the road pavement and formation of longitudinal and transversal cracks on it. To develop intelligent models for predicting landslide processes and their impact on the state of the road, the following types of work were carried out: georadar sounding method; Earth remote sensing methods; ground-satellite geodesy method; modeling and training of intelligent systems.
Conclusions: The surface smoothness of the road pavement is partly below the minimum permissible level. The causes of the “irregular” (unusual) transversal cracks should be associated with slides of the rock masses and water falling from the rock slopes. Suggested causes of the grading’s slide slopes’ erosion are the faint provision of surface drainage for the road pavement. The unevenness of the pavement on a micro level is connected to the uncompacted enough asphaltic concrete pavement and other pavement’s layers. The field researches’ results will be used for training and testing of intellectual models.
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[6] Micechova L., Mikolaj J., Sedivy S. (2019) New knowledge in the field of the diagnostic and evaluation of selected pavement parameters, Transportation Research Procedia. 40: 373–380. doi: 10.1016/j.trpro.2019.07.055 (in Eng.).
[7] Zhantayev Zh., Kairanbayeva A., Kiyalbayev A., Nurpeissova G., Panyukova D. Data collection for intellectual forecasting: metthods and results // News of the National Academy of sciences of the Republic of Kazakhstan, physico -mathematical series. – 2021. – N 4 (338). – Р. 66-75. – ISSN 1991-346Х (Web of Science 0.264). DOI: 10.32014/2020.2518-1726.49 (in Eng.).
This work was financially supported by the Committee of Science of the Ministry of Education and Science of the Republic of Kazakhstan (grant No AR09260066" Design of an intelligent system to forecast landslides' processes and their influence on the roads' technical and operational characteristics").
conference
https://doi.org/10.5593/sgem2022/2.1/s09.30
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Proceedings of 22nd International Multidisciplinary Scientific GeoConference SGEM 2022
22nd International Multidisciplinary Scientific GeoConference SGEM 2022, 04 - 10 July, 2022
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Turkish Acad Sci.
241-248
04 - 10 July, 2022
website
8497
remote sensing, geodynamical processes, automobile road diagnostics, landslides, forecasting