MULTI-SCALE TEMPORAL PATTERNS IN SOIL RADON GAS DATA SERIES

被引：0

作者：

Jordan, Gyozo ^{[1
,2
]}

Torres, Silvana Beltran ^{[1
]}

机构：

[1] Szent Istvan Univ, Dept Appl Chem, Villanyi Ut 35-43, H-1118 Budapest, Hungary

[2] Hungarian Acad Sci, Inst Geol & Geochem Res, Budaorsi Ut 45, H-1112 Budapest, Hungary

来源：

CARPATHIAN JOURNAL OF EARTH AND ENVIRONMENTAL SCIENCES | 2020年 / 15卷 / 02期

关键词：

wavelet; time series analysis; modeling; monitoring; frequency; EUROPEAN ATLAS; REGION; IDENTIFICATION; DECOMPOSITION; VARIABILITY; RADIATION; SIGNALS;

D O I：

10.26471/cjees/2020/015/150

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper reports on the applicability of wavelet analysis to the study of multi-scale temporal patterns in soil radon gas compared to the conventional time series analysis (TSA). Both methods delivered good modeling results for the studied 15 minutes sampled time series. The main achievement of the wavelet method is the identification and numerical characterization of the subtle semi-diurnal (12 h) periodicity. Unlike the other time series components (cycle, diurnal periodicity etc.), the semi-diurnal periodicity is the only temporal feature which is the same in the studied July (summer) and December (winter) time series.

引用

页码：533 / 546

页数：14

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