Vestnik Kamchatskoy regional'noy assotsiatsii «Uchebno-nauchnyy tsentr». Seriya: Nauki o Zemle
Institute of Volcanology and Seismology FEB RAS
Optimization of identification modeling in the stochastic method of taking into account the terrain in the interpretation of aeromagnetization
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Keywords

aeromagnetic survey
correction for relief
statistical methods

Section

Results of the Scientific Researches

Statistic

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How to Cite

1. Муравина О. М., Пономаренко И. А. Optimization of identification modeling in the stochastic method of taking into account the terrain in the interpretation of aeromagnetization // Vestnik KRAUNTs. Nauki o Zemle. 2021. № 3 (51). C. 16–22. https://doi.org/10.31431/1816-5524-2022-3-51-16-22.

Abstract

The results of studies aimed at optimizing the stochastic method of taking into account the terrain when interpreting aeromagnetic survey data are presented. The method is based on the consistent application of the method of empirical mode decomposition and the method of group accounting of arguments The results of a medium-scale aeromagnetic survey conducted in Eastern Siberia were used as actual data. It is shown that the preliminary classification of the studied territory by the nature of the relief and the magnetic field strength allows us to determine the components of the magnetic field that correlate with the relief within the selected classes. To assess the quality of correlation dependencies, the ratio of the standard deviation of the models to the variance of the magnetic field amplitudes of the analyzed frequency component were used. This allows us to compare models with different statistical characteristics of the anomalous magnetic field and divide the components into correlated and uncorrelated with the terrain. The results obtained confirm the possibility of the existence of strong correlational relationships between the magnetic field and the relief in a certain range of spatial frequencies and offer specific methodological methods for applying this stochastic approach to reducing the magnetic field in the areas of the development of platobasalts.
https://doi.org/10.31431/1816-5524-2022-3-51-16-22
PDF (Русский)

References

Ивахненко А.Г. Индуктивный метод самоорганизации моделей сложных систем. Киев: Наукова думка, 1982. 296 с. [Ivakhnenko A.G. Inductive method of self-organization of models of complex systems. Kiev: Naukova dumka, 1982. 296 p. (in Russian)].

Долгаль А.С. Магниторазведка: компьютерные технологии учета влияния рельефа местности. Пермь, Изд-во Перм. гос. нац. исслед. ун-та. 2014. 92 с. [Dolgal A.S. Magnetic: computer technology of considering the influence of the terrain. Perm, Perm State National Research University Press, 2014. 92 p. (in Russian)].

Долгаль А.С., Криволуцкая Н.А., Муравина О.М., Пономаренко И.А. Учет влияния рельефа земной поверхности при аэромагнитной съемке в пределах больших магматических провинций // Геофизика. 2020. № 4. С. 2–8 [Dolgal A.S., Krivolutskaya N.A., Muravina O.M., Ponomarenko I.A. Accounting the effect of terrain relief during aeromagnetic surveying within large magmatic provinces // Geofizika. 2020. № 4. P. 2–8 (in Russian)].

Долгаль А.С., Христенко Л.А. Применение эмпирической модовой декомпозиции при обработке геофизических данных // Известия Томского политехнического университета. Инжиниринг георесурсов. 2017. Т. 328. № 1. С. 100–108 [Dolgal A.S., Hristenko L.A. Application of Empirical Mode Decomposition Method in processing of geophysical data. Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering. 2017. T. 328. № 1. P. 100–108. (in Russian)].

Долгаль А.С., Червоный Н.П. Учет влияния рельефа земной поверхности при аэромагнитных измерениях // Геоiнформатика. 2008. № 2. С. 58–66 [Dolgal A.S., Chervony N.P. Taking into account the influence of the relief of the Earth’s surface during aeromagnetic measurements // Geoinformatics 2008. № 2. P. 58–66 (in Russian)].

Криволуцкая Н.А. Эволюция траппового магматизма и Pt-Cu-Ni рудообразования в Норильском районе. Товарищество научных изданий КМК, 2014. 305 с. [Krivolutskaya N.A. Evolyuciya trappovogo magmatizma i Pt-Cu-Ni rudo-obrazovaniya v Noril’skom rajone. Tovarishchestvo nauchnyh izdanij KMK, 2014. 305 p. (in Russian)].

Левин Ф.Д., Контарович О.Р., Смирнов А.С., Прозорова Г.В. Новые данные о строении трапповых полей южной части Восточной Сибири по материалам аэрогеофизических съемок // Мониторинг. Наука и технологии. 2018. № 4 (37). С. 13–24 [Levin F.D., Kontarovich O.R., Smirnov A.S., Prozorova G.V. New information about the structure of trap rock plateaus of southern part of Eastern Siberia according to airborne geophysical data // Monitoring. Science and Technologies. 2018. № 4 (37). P. 13–24 (in Russian)].

Муравина О.М. Метод группового учета аргументов при анализе геофизических данных // Геофизика. 2012. № 6. С. 10–20 [Muravina O.M. Method of group accounting of arguments in the analysis of geophysical data // Geofizika. 2012. № 6. P. 10–20 (in Russian)].

Муравина О.М., Пономаренко И.А. Программная реализация метода группового учета аргументов при идентификационном моделировании геолого-геофизических данных // Вестник Воронежского государственного университета. Сер. Геология. 2016. № 2. С. 107–110 [Muravina O.M., Ponomarenko I.A. Features of application of the group method of data handling at identification modelling of geologic-geophysical data // Vestnik Voronezh state university. Ser. Geology. 2016. № 2. P. 107–110 (in Russian)].

Трусов А.А., Петров А.В. Компьютерная технология статистического и спектрально-корреляционного анализа трехмерной геоинформации – КОСКАД 3D. // Геофизика. 2000. № 4. С. 29–33 [Trusov A.A., Petrov A.V. Computer technology of statistical and spectral-correlation analysis of three-dimensional geoinformation – KOSKAD 3D // Geofizika. 2000. № 4. P. 29–33 (in Russian)].

Петров А.В., Юдин Д.Б., Хоу Сюели. Обработка и интерпретация геофизических данных методами вероятностно-статистического подхода с использованием компьютерной технологии «КОСКАД 3D». Вестник КРАУНЦ. Сер. Науки о Земле. 2010. № 2. Вып. 16. С. 126–132 [Petrov A.V., Yudin D.B., Khou Syueli. Processing and interpretation of geophysical information by methods of probabilistic - statistical approach using «KOSKAD 3D» computer technology // Vestnik KRAUNTs. Nauki o Zemle. 2010. № 2(16). P. 126–132 (in Russian)].

Ремпель Г.Г. Актуальные вопросы методики введения поправок, связанных с рельефом местности в данные гравиразведки и магниторазведки // Известия АН СССР. Физика Земли. 1980. № 12. С. 75–89 [Rempel G.G. Topical issues of the methodology for introducing corrections related to the terrain in the data of gravity and magnetic exploration // Izvestiya of the Academy of Sciences of the USSR. Physics of the Solid Earth. 1980. № 12. P. 75–89 (in Russian)].

Muravina O.M., Davudova E.I., Ponomarenko I.A. Possibility of identification of modeling in complex analysis geological and geophysical data / Practical and Theoretical Aspects of Geological Interpretation of Gravitational, Magnetic and Electric Fields. Springer Proceedings in Earth and Environmental Sciences - Springer Nature Switzerland AG, 2019. Р. 157–162.

Dolgal A.S., Muravina O.M., Hristenko L.A. The reduction of the magnetic field within development areas of the plateaubasalts // Geoinformatics 2017. 15–17 May 2017, Kiev, Ukraine. 11143_ENG. Electronic publication (CD).

Dolgal A.S. Allowance for the Earth’s Surface Topography in Processing the Magnetic Field Measurements // Nurgaliev D., Khairullina N. (eds). Practical and Theoretical Aspects of Geological Interpretation of Gravitational, Magnetic and Electric Fields. Springer Proceedings in Earth and Environmental Sciences. Springer Nature Switzerland AG, 2019. P. 3–12. https://doi.org/10.1007/978-3-319-97670-9_12

Huang N.E., Shen Z., Long S.R. et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. // Proc. R. Soc. Lond. A. 1998. Т. 454. P. 903–995.

Spatial Analyst. User guide. 1999-2001 ESRI. https://docplayer.com/35943645-Spatial-analyst-rukovodstvo-polzovatelya.html

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