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Geoinformatika 2016; 1(57) : 79-83 (in Ukrainian)

REMOTE MONITORING OF LAKE DEPTH USING MULTI-CHANNEL ACCESS TO FIELDS OF SEICHES ORIGIN

P.V. Anakhov1, S.P. Anakhov2 

1State University of Telecommunications, 7 Solomenska Str., Kyiv 03110, Ukraine, e-mail: anakhov@rambler.ru
2Central State Archives of Foreign Archival Ucrainica, 3 Solomenska Str., Kyiv 03680, Ukraine

Purpose. Given limited information on depths of remote lakes, particularly in transboundary monitoring of hydrological threats, the only possibility of alarm forecasting may be remote monitoring. The purpose of the paper is develop a method of remote monitoring of the lake depth.
Design/methodology/approach. Variations of the depth of lake cause variations of its characteristic oscillations (seiches). The basic principles of the method are stability of periods of damped seiches restricted by timetable of one series of oscillations, and multi-channel manifestation of oscillations of seiches origin.
Findings. We examined primary metrological performance of the geophysical method of depth monitoring. The receiver, sensitivity of oscillations is based on the signal damping in the “lake–receiver” system and determines further application effect of the method. Time delay of signal interpretation is at least an interval, including the duration of signal propagation in the medium and the duration of sampling of seiches half-period. Noise immunity of the “lake–receiver” system is based on its capability to discern signals with adjusted reliability. Accidental error of the method is defined by variations of seiches periods determined by external causes.
Practical value/implications. The application of a multi-channel access to signals of different physical nature with space multiplexing of oscillations provides greater receiver sensitivity and noise immunity of the “lake–receiver” system. To decrease accidental measurings error, the duration of signal observations must significantly exceed the seiches period. So, the proposed method serves for monitoring slow depth changes, particularly in over-filtration of water through the lake soil bed, the body of a dam (for example, as in filtration into soil during 2 years (as of 14.02.1994) of 5 mln. m3 of water contaminated radioactive isotopes from the Olympic tailing dump, Australia.

Keywords: variations of periods of seiches, field of seiches oscillations, field of microseisms oscillations, field of microbaroms oscillations, physical nature of signal.

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References:

  1. Anakhov P.V. Releasing of tectonic stresses by using microseismogenic phenomena. Geofizicheskiy zhurnal, 2014, vol. 36, no. 5, pp. 128-142 (in Ukrainian).
  2. Anakhov P.V., and Anakhova O.V. Measuring of reservoir depth by method of characteristic oscillations. Measuring and Computing Devices in Technological Processes, 2015, no. 1, pp. 36-40 (in Ukrainian).
  3. Anakhov P.V. Seismic tomography by sweep-frequency method. Geoіnformatika, 2015, no. 2, pp. 46-51 (in Ukrainian).
  4. Arsen’eva N.M., Davydov L.K., Dubrovina L.N., Konkina N.G. Sejshi na ozerah SSSR. Leningrad, izdatel’stvo Leningradskogo universiteta, 1963, 184 p. (in Russian).
  5. Berg L. Aral’skoe more. Opyt fiziko-geograficheskoj monografii. Izvestija Turkmenskogo Otdelenija Imperatorskogo Russkogo Geograficheskogo Obshhestva, tom 5. Nauchnye Rezul’taty Aral’skoj Jekspedicii, Issue 9. Saint Petersburg, Tipografiya M.M.Stasyulevicha, 1908, 580 p. (in Russian).
  6. Dubrovin V.I., Smirnov A.A. Recording and parametrization of microseisms and microbaroms using data of NNC RK monitoring network. NNC RK Bulletin, 2009, iss. 2, pp. 172-178 (in Russian).
  7. Ivashkina D.A. I snova o pogreshnostjah. Fizika, 2007, no. 17. Available at: http://fiz.1september.ru/article.php?ID=200701702 (Accessed 14 September 2015) (in Russian).
  8. Kravec T.P., Toropec A.S. Rasprostranenie bajkal’skih sejsh po reke Angare. In: Sejshi na ozerah poverhnostnye i vnutrennie. Leningrad, Nauka, 1970, pp. 56-66 (in Russian).
  9. Machekhin Yu.P., Kurskoy Yu.S. Model for measuring of nonlinear dynamic systems parameters. Systjemy obrobky informaciji, 2012, iss. 1 (99), pp. 169-175 (in Russian).
  10. Nacionalna dopovid pro stan tjehnogjennoji ta pryrodnoji bjezpjeky v Ukrajini u 2009 roci. Kyiv, State Emergency Service of Ukraine, 2009, 252 p. (in Ukrainian).
  11. Nacionalna dopovid pro stan tjehnogjennoji ta pryrodnoji bjezpjeky v Ukrajini u 2014 roci. Kyiv, State Emergency Service of Ukraine, 2015, 365 p. (in Ukrainian).
  12. Panfilov I.P., Dyrda V.Ju., Kapacin A.V. Teoriia elektrychnoho zviazku. Kyiv, Tekhnika, 1998, 328 p. (in Ukrainian).
  13. Tabulevich V.N., Chernykh E.N., Potapov V.A., Drennova N.N. Influence of storm vibrations on earthquakes. Priroda, 2002, no. 10, pp. 12-16.
  14. Topil’skij V.B. Skhemotekhnika analogovo-tsifrovykh preobrazovateley. Moscow, Tehnosfera, 2014, 288 p. (in Russian).
  15. Shulejkin V.V. Fizika morja. Moscow, Nauka, 1968, 1083 p. (in Russian).
  16. Chronology of uranium tailings dam failures. Available at: www.wise-uranium.org/mdafu.html (Accessed 14 September 2015).
  17. Haney M.M. Infrasonic ambient noise interferometry from correlations of microbaroms. Geophysical research letters, 2009, vol. 36, iss. 19, L19808, doi:10.1029/2009GL040179.