Vol. 337 No. 3 (2026)
DOI https://doi.org/10.18799/24131830/2026/3/5108
Development of seismic microzoning methodology for large-scale objects: advanced forecasting and increased resolution
One of the current trends in civil engineering market is the development of individual housing stock. Relevance. Demographic factor, investment attractiveness, encouraging legislative initiatives, as well as social and environmental aspects. The purchase of a site for development, assessment of landscape and geological conditions, formation and implementation of the project are entirely within the area of responsibility of private customer, which is usually limited in funds. The outline of residential building construction as the object of our research is selected on relatively flat and dry area, which is not criterion for the stability of engineering structure on clay soils and under the conditions of limited volume of engineering-geological and engineering-geophysical surveys. Aim. To develop the methodology for advanced forecast assessment of risk factors for increased mobility of the upper part of geological cross-section, which suspects minimal costs for these surveys from the direction of private developer. Problems. Additional quantitative estimations of these risk factors based on the data from completed stages of topographic, geodetic and engineering-geological surveys; application of standardized elements of seismic microzoning; qualitative and quantitative interpretation of remote sensing data; development of unified processing algorithm focused on the final cartographic project; instrumental verification of anomalous geological zones. Methods. Standardized elements of seismic microzoning methodology; peculiarity of large-scale object determines the use of original developments in detailed analysis of amplitude-frequency composition of remote sensing data and digital elevation model; risk zones are verified by electrical resistivity tomography method. Increasing the detail of the seismic microzoning due to proven express assessments of the remote sensing data and digital elevation model determines the novelty of our research. Results. Presented in the form of verification of risk discordant zones, identified with the mentioned express assessments, on the base of electrical resistivity tomography. Conclusions. Emphasize the maximum implementation of parametric assessments of the remote sensing data and digital elevation model in order to reduce the cost of preliminary geological and geophysical work as well as to minimize an expert participation in the analysis of primary data.
For citation: Yakovleva A.A., Movchan I.B., Gorelik M.A., Movchan E.I., Sadykova Z.I. Development of seismic microzoning methodology for large-scale objects: advanced forecasting and increased resolution. Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering, 2026, vol. 337, no. 3, pp. 147–161. https://doi.org/10.18799/24131830/2026/3/5108
Keywords:
upper part of geological section, seismic microzonation, remote sensing, electrical resistivity tomography, discordant risk zone, parametric assessment
References:
1. Ulomov V.I., Shumilina L.S. Problems of seismic zoning of the territory of Russia. Moscow, All-Russian Research Institute of Problems of Scientific and Technical Progress and Information in Construction Publ., 1999, 56 р. (In Russ.)
2. Ulomov V.I., Bogdanov M.I., Trifonov V.G., Gusev A.A., Gusev G.S., Akatova K.N., Aptikaev F.F., Danilova T.I., Kozhurin A.I., Medvedeva N.S., Nikonov A.A., Peretokin S.A., Pustovitenko B.G., Strom A.L. Explanatory note to the set of maps of general seismic zoning of the territory of the Russian Federation OSR-2016. Engineering surveys, 2016, no. 7, pp. 49–122. (In Russ.)
3. Gromova N.A. Influence of engineering-geological conditions on the formation of the reaction level and spectral composition of soil vibrations during strong earthquakes. Journal of Mining Institute, 2006, no. 2, pp. 16–18. (In Russ.)
4. Nakamura Y., Okada K. Review on seismic isolation and response control methods of buildings in Japan. Geoenvironmental Disasters, 2019, Vol. 7, pp. 7. DOI: 10.1186/s40677-019-0123-y.
5. Volokhov E.M., Kozhukharova V.K., Britvin I.A., Savkov B.M., Zherlygina E.S. The problem of assessing the impact of mining operations on ground infrastructure facilities. Mining Information and Analytical Bulletin, 2023, no. 8, pp. 72–93. (In Russ.) DOI: 10.25018/0236_1493_2023_8_0_72.
6. Talovina I.V., Krikun N.S., Yurchenko Y.Y., Ageev A.S. Remote sensing techniques in the study of structural and geotectonic features of Iturup Island (the Kuril Islands). Journal of Mining Institute, 2022, vol. 254, pp. 626–638. DOI: 10.31897/PMI.2022.45.
7. Gorelik G.D., Sysoev A.P. Application of a two-layer model for correction of the kinematics of reflected waves in the problem of accounting for surface inhomogeneities. Seismic exploration technologies, 2015, no. 3, pp. 75–79. (In Russ.) DOI: 10.18303/1813-4254-2015-3-75-79
8. Waqas U., Ahmed M.F. Investigation of strength behavior of thermally deteriorated sedimentary rocks subjected to dynamic cyclic loading. International Journal of Rock Mechanics and Mining Sciences, 2022, vol. 158, pp. 105201. DOI: 10.1016/j.ijrmms.2022.105201.
9. Kumar Shukla A. Site response studies application in seismic hazard microzonation and ground characterization. Theory and Practice in Earthquake Engineering and Technology, 2022, pp. 55–97. DOI: 10.1007/978-981-19-2324-1_2.
10. Lewandowski M. Polish polar research: green-and-white paper: under the aegis of the Polish Polar Consortium (PPC). Warsaw, Polish Academy of Sciences, 2020. 135 p.
11. Afanasyev P.I., Pavlovich A.A., Melnikov N.Ya., Nikolaev R.V. Features of propagation of seismic blast waves in rocky marginal massifs. Mining information and analytical bulletin, 2025, no. 1, pp. 17–32. (In Russ.) DOI: 10.25018/0236_1493_2025_11_0_17.
12. Kuzin I.L. "Glacial" relief forms of the West Siberian and Russian plains. Bulletin of the Russian Geographical Society, 2006, vol. 138, no. 3, pp. 41–55. (In Russ.)
13. Willemann R.J., Storchak D.A. Data Collection at the international seismological centre. Seismological Research Letters, 2001, vol. 72 (4), pp. 440–453. DOI: 10.1785/gssrl.72.4.440.
14. Tuskaeva Z., Fardzinov G., Dzaparov A. On the question of the addition of the seismic microdistricting map. Academia. Architecture and Construction, 2024, vol. 4, pp. 141–144. (In Russ.) DOI: 10.22337/2077-9038-2024-4-141-144.
15. Kotikov D.A., Shabarov A.N., Tsirel S.V. Establishing a connection between the distribution of seismic events in a rock mass and its tectonic structure. Journal of Mining Institute, 2020, no. 1, pp. 28–32. (In Russ.) DOI: 10.17580/gzh.2020.01.05
16. Ehret D., Rohn J., Hannich D., Grandas C., Huber G. Numerical modelling of seismic site effects incorporating non-linearity and groundwater level changes. Journal of Earth Science, 2010, vol. 21 (6), pp. 921–940. DOI: 10.1007/s12583-010-0146-5
17. Medvedev S.V. The new seismic scale. Moscow, Geophysical Institute of the Academy of Sciences of the USSR Publ., 1953. 148 p. (In Russ.)
18. Rutqvist J., Cappa F., Rinaldi A., Godano M. Modeling of induced seismicity and ground vibrations associated with geologic CO2 storage, and assessing their effects on surface structures and human perception. International Journal of Greenhouse Gas Control, 2014, vol. 24, pp. 64–77. DOI: 10.1016/j.ijggc.2014.02.017ff.
19. Movchan I.B., Yakovleva A.A., Shaygallyamova Z.I., Movchan A.B. Increasing resolution of seismic hazard mapping on the example of the North of Middle Russian highland. Applied Sciences, 2021, vol. 11, no. 11, p. 5298. DOI: 10.3390/app11115298.
20. Shestoperov G.S. Methodical recommendations for seismic microzoning of construction sites for transport structures MDС 22-1.2004. Мoscow, MIIT Publ., 2004. 55 p. (In Russ.)
21. Chen Y.-P., Yang M.-D. Legal protection and data access of remote sensing and GIS database. IEEE International Geoscience and Remote Sensing Symposium. Barcelona, Spain, 2007. pp. 3053–3056. DOI: 10.1109/IGARSS.2007.4423489
22. Yingchun F., Zhe Z., Liangyun L. Remote sensing time series analysis: a review of data and applications. Journal of Remote Sensing, 2024, vol. 4 (6626), p. 67. DOI: 4.10.34133/remotesensing.0285.
23. Krajsek K., Mester R. Wiener-optimized discrete filters for differential motion estimation. Lecture Notes in Computer Science, 2004, vol. 3417, pp. 30–41. DOI: 10.1007/978-3-540-69866-1_3
24. Kornilov Yu.N., Romanchikov A.Yu., Bogolyubova A.A. Assessment of deformation processes using the photogrammetric method in Agisoft Metashape. Geodesy and Cartography, 2023, vol. 84, no. 10, pp. 2–11. (In Russ.) DOI: 10.22389/0016-7126-2023-1000-10-2-11.
25. Misra D. Canonical signed digit representation of Quadrature Mirror Filter using Genetic Algorithm. CODIS. Abstract of International Conference, 2012. DOI: 10.1109/CODIS.2012.6422137
26. Iovlev G.A., Protosenya A.G., Petrov N.E. Determination of parameters of soil constitutive models based on field test data. Soil Mechanics and Foundation Engineering, 2024, vol. 60, no. 6, pp. 528–534. DOI: 10.1007/s11204-024-09925-3
27. Kalinin D.F., Egorov A.S., Bolshakova N.V. Oil and gas potential of the West Kamchatka coast and its relation to the structural and tectonic setting of the Sea of Okhotsk Region based on geophysical data. Russian Journal of Pacific Geology, 2023, vol. 17, no. 2, pp. S21–S34. DOI: 10.1134/S1819714023080067.
28. Larichkin F.D. Methodical approaches to the factorial analysis of changes of parameters of mining production. Journal of Mining Institute, 2014, vol. 208, p. 132. (In Russ.)
29. Ermolin E.Y., Ingerov A.I., Shaaban K.M. Application of vertical magnetic component in magnetotelluric method to estimate parameters of anomalous objects away from the profile line. Journal of Mining Institute, 2015, vol. 212, pp. 95–100. (In Russ.)
30. Oganezov A.V. Method for determining the spatial coordinates of geological formations. Patent RF, no. 2097794, 1997. (In Russ.)
31. Bolshunov A.V., Ignatev S.A., Gorelik G.D., Krikun N.S., Vasilev D.A., Rakitin I.V., Shadrin V.S. Comprehensive studies of the snow-firn layer in the area of the Russian Antarctic Vostok Station. Journal of Mining Institute, 2025, vol. 16470, vol. 273, pp. 52–64. (In Russ.)
32. Churkin A.A., Kapustin V.V., Pleshko M.S. Method of analysis of normalized acoustic response in monitoring of underground structures. Journal of Mining Institute, 2024, vol. 270, pp. 963–976. (In Russ.)
33. Glazunov V.V., Burlutsky S.B., Shuvalova R.A., Zhdanov S.V. Improving the reliability of 3D modelling of a landslide slope based on engineering geophysics data. Journal of Mining Institute, 2022, vol. 257, pp. 771–782. (In Russ.) DOI: 10.31897/PMI.2022.86.
34. Miller A.A. Method for measuring the specific electrical resistance of rocks using rods of a dynamic or static probing installation. Journal of Mining Institute, 2013, vol. 200, pp. 54–57. (In Russ.)
35. Roopa M., Naikar H.G., Prakash D.S. Soil structure interaction analysis on a rc building with raft foundation under clayey soil condition. International Journal of Engineering Research & Technology, 2015, vol. 4, no. 12, pp. 319–323.


