Fractal analysis and nonlinear forecasting of indoor 222Rn time series

Gerhard Pausch, Peter Bossew, Werner Hofmann, Ferdinand Steger

Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review

Abstract

Fractal analyses of indoor 222 Rn time series were performed using different chaos theory based measurements such as time delay method, Hurst's rescaled range analysis, capacity (fractal) dimension, and Lyapunov exponent. For all time series we calculated only positive Lyapunov exponents which is a hint to chaos, while the Hurst exponents were wen below 0.5, indicating antipersistent behavior (past trends tend to reverse in the future). These time series were also analyzed with a nonlinear prediction method which allowed an estimation of the embedding dimensions with some restrictions, limiting the prediction to about three relative time steps.
Original languageEnglish
Title of host publication30. Jahrestagung des Fachverbandes für Strahlenschutz gemeinsam mit dem Österreichischen Verband für Strahlenschutz
Pages465-470
Number of pages6
Publication statusPublished - 1998
Event30. Jahrestagung des Fachverbandes für Strahlenschutz gemeinsam mit dem Österreichischen Verband für Strahlenschutz -
Duration: 1 Jan 1998 → …

Conference

Conference30. Jahrestagung des Fachverbandes für Strahlenschutz gemeinsam mit dem Österreichischen Verband für Strahlenschutz
Period1/01/98 → …

Research Field

  • Not defined

Keywords

  • IRPA
  • Strahlenschutz
  • Jahrestagung
  • Radioaktivität
  • Mensch
  • Umwelt
  • Publikationsreihe
  • fractal analysis
  • nonlinear forecasting

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