Moscow, Russian Federation
Russian Federation
Schmidt Institute of the Physics of the Earth Russian Academy of Sciencies
UDC 55
UDC 550.34
UDC 550.383
CSCSTI 37.01
CSCSTI 37.15
CSCSTI 37.25
CSCSTI 37.31
CSCSTI 38.01
CSCSTI 36.00
CSCSTI 37.00
CSCSTI 38.00
CSCSTI 39.00
CSCSTI 52.00
Russian Classification of Professions by Education 05.00.00
Russian Library and Bibliographic Classification 26
Russian Trade and Bibliographic Classification 63
BISAC SCI SCIENCE
Using the Baltic Shield as an example, various methods for calculating the integral morphometric parameter (𝐹) based on a set of geomorphological data processed using fuzzy logic tools were tested. Comparison of the spatial distribution patterns of this parameter with the localization of epicenters of modern crustal earthquakes shows that it reflects the degree of seismotectonic activity to a certain extent. The best agreement was achieved when the initial morphometric parameters and the 𝐹 calculation algorithm were selected separately for each megablock – Kola-Karelian, Svecofennian, and Sveco-Norwegian. This can be explained by the significant influence of the geological structure on the relief. A similar result was achieved when calculating 𝐹 within blocks characterized by a certain type of recent stress state. However, the relationship between seismicity and the integral morphometric parameter 𝐹 is statistically significant when determining the latter by processing data on average heights, relief slopes and the difference in base surfaces of 3–4 orders using a fuzzy sum for the entire territory of the Baltic Shield.
morphometric analysis of relief, fuzzy logic, seismicity, Baltic Shield
1. Agibalov A. O., Zaitsev V. A., Manuilova E. A., et al. Identification of seismically active areas of the Voronezh anteclise by geomorphological and tectonophysical methods // Moscow University Bulletin. Series 4. Geology. — 2022. — No. 2. — P. 3–10. — https://doi.org/10.33623/0579-9406-2022-2-3-10 — (In Russian).
2. Agibalov A. O., Zaitsev V. A., Sentsov A. A., et al. Morphometric parameters of relief and localization of hydrocarbon deposits within the Volga-Ural anteclise // Lomonosov Geography Journal. — 2021. — No. 4. — P. 116–128. — (In Russian).
3. Geomorphology / ed. by A. N. Lastochkin and D. V. Lopatin. — M. : Akademiya, 2005. — 528 p. — (In Russian).
4. Guseva G. S. and Imaeva L. P. Modern tectonic (geodynamic) activity of the territory of Russia // Razvedka i okhrana nedr. — 2014. — No. 12. — P. 23–29. — (In Russian).
5. Demidova G. L. and Lukichev D. V. Fuzzy logic controllers in technical object control systems. — SPb. : Universitet ITMO, 2017. — 81 p. — (In Russian).
6. Dzeboev B. A., Gvishiani A. D., Belov I. O., et al. Strong-Earthquake-Prone Areas Recognition Based on an Algorithm with a Single Pure Training Class: I. Altai-Sayan-Baikal Region, M ≥ 6.0 // Izvestiya, Physics of the Solid Earth. — 2019. — Vol. 55, no. 4. — P. 563–575. — https://doi.org/10.1134/s1069351319040050
7. Zhavoronkin O. V. Morphostructure of Malo-Botuobinski Area (Republic Sakha-Yakutia) based on the data of stochastical analysis of relief // Proceedings of Voronezh State University. Series: Geology. — 2005. — No. 1. — P. 276–281. — (In Russian).
8. Kopylov I. S. Morphoneotectonic system for assessing geodynamic activity. — Perm : PSU, 2019. — 132 p. — (In Russian).
9. Pavlenkova N. I. Unsolved problems of the global tectonics and possibility of their solutions // Geofizicheskiy Zhurnal. — 2019. — Vol. 41, no. 2. — P. 57. — https://doi.org/10.24028/gzh.0203-3100.v41i2.2019.164448 — (In Russian).
10. Sentsov A. A. Seismotectonics of hazardous areas of the East European Platform : Candidate thesis / Sentsov A. A. — 2022. — 116 p. — (In Russian).
11. Sentsov A. A. and Agibalov A. O. Determination of seismic generation zones of Fennoscandia according to data of analysis of seismicity and computer geodynamic modelling // Moscow University Bulletin. Series 4. Geology. — 2021. — No. 1. — P. 15–22. — (In Russian).
12. Smirnov E. A. and Kochneva D. A. Accuracy assessment of the global FABDEM digital elevation model for mountainous areas(using the example of the Makazhoy Basin, Chechen Republic) // Ecology. Economy. Informatics. Geoinformation Technologies and Space Monitoring. — 2024. — Vol. 9. — P. 74–78. — https://doi.org/10.23885/2500-123X-2024-2-9-74-78 — (In Russian).
13. Sobisevich A. L., Steblov G. M., Agibalov A. O., et al. Interrelation of morphometric parameters of relief and seismicity of Sakhalin Island // Moscow University Bulletin. Series 4. Geology. — 2024a. — No. 6. — P. 32–41. — https://doi.org/10.55959/msu0579-9406-4-2024-63-6-32-41 — (In Russian).
14. Tregub A. I. and Zhavoronkin O. V. Morphometry of the modern surface and neotectonic structure of the VKM territory // Proceedings of Voronezh State University. Series: Geology. — 2000. — No. 3. — P. 19–26. — (In Russian).
15. Tregub A. I. and Shevtsov D. E. Digital elevation models in the study of the recent tectonic structure (on the example of the eastern Voronezh crystalline massif) // Structure, material composition, properties, modern geodynamics and seismicity of platform territories and adjacent regions: materials of the XXII All-Russian with international participation scientific-practical Shchukin conference (Voronezh, September 22-25, 2020). — VGU, 2020. — P. 354– 358. — (In Russian).
16. Filosofov V. P. Brief guide to the morphometric method of searching for tectonic structures. — Saratov : Saratov University Publ, 1960. — 91 p. — (In Russian).
17. Chernova I. Yu., Luneva O. V. and Nurieva M. R. Neotectonic factors of the modern relief formation of the East European Plain // Science Time. — 2015. — 4(16). — P. 813–819. — (In Russian).
18. Gorsevski P. V., Gessler P. E., Foltz R. B., et al. Spatial prediction of landslide hazard using logistic regression and ROC analysis // Transactions in GIS. — 2006. — Vol. 10, no. 3. — P. 395–415. — https://doi.org/10.1111/j.1467-9671.2 006.01004.x
19. Hawker L. and Neal J. FABDEM V1-0. — University of Bristol, 2021. — https://doi.org/10.5523/BRIS.25WFY0F9UKOGE2GS7A5MQPQ2J7
20. Lehner B. and Grill G. Global river hydrography and network routing: baseline data and new approaches to study the world’s large river systems // Hydrological Processes. — 2013. — Vol. 27, no. 15. — P. 2171–2186. — https://doi.org/10.1002/hyp.9740
21. Lolli B., Gasperini P. and Vannucci G. Empirical conversion between teleseismic magnitudes (mb and Ms) and moment magnitude (Mw) at the Global, Euro-Mediterranean and Italian scale // Geophysical Journal International. — 2014. — Vol. 199, no. 2. — P. 805–828. — https://doi.org/10.1093/gji/ggu264
22. Scordilis E. M. Empirical global relations converting MS and mb to moment magnitude // Journal of Seismology. — 2006. — Vol. 10, no. 2. — P. 225–236. — https://doi.org/10.1007/s10950-006-9012-4
23. Sobisevich A. L., Steblov G. M., Agibalov A. O., et al. Seismic Domain Identification Algorithm using Fuzzy Logic Methods with Combined Geological and Geomorphological Data for the Case of Sakhalin Island // PREPRINT (Version 1) available at Research Square. — 2024. — https://doi.org/10.21203/rs.3.rs-5220337/v1
24. Strahler A. N. Hypsometric (area-altitude) analysis of erosional topography // Geological Society of America Bulletin. — 1952. — Vol. 63, no. 11. — P. 1117–1142. — https://doi.org/10.1130/0016-7606(1952)63[1117:haaoet]2.0.co;2
25. Tanaka H. and Asai K. Fuzzy linear programming problems with fuzzy numbers // Fuzzy Sets and Systems. — 1984. — Vol. 13, no. 1. — P. 1–10. — https://doi.org/10.1016/0165-0114(84)90022-8
26. University of Helsinki. Earthquakes in Finland and adjacent areas. — 2021. — URL: https://www.helsinki.fi/en/institute-seismology/earthquakes/earthquakes-finland-and-adjacent-areas
27. Zimmermann H.-J. Fuzzy Set Theory-and Its Applications. — 4th. — Springer Netherlands, 2001. — 435 p. — https://doi.org/10.1007/978-94-010-0646-0
