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Multiple seasonality in soil radon time series
The dynamics governing the movement of the radon are complex and dependent on many factors. In the present study, we characterise the nature of temporal variations of 2-hourly and daily radon measurements in several monitoring sites of the Italian Radon mOnitoring Network (IRON) in Italy. By means o...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6565803/ https://www.ncbi.nlm.nih.gov/pubmed/31197185 http://dx.doi.org/10.1038/s41598-019-44875-z |
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author | Siino, Marianna Scudero, Salvatore Cannelli, Valentina Piersanti, Antonio D’Alessandro, Antonino |
author_facet | Siino, Marianna Scudero, Salvatore Cannelli, Valentina Piersanti, Antonio D’Alessandro, Antonino |
author_sort | Siino, Marianna |
collection | PubMed |
description | The dynamics governing the movement of the radon are complex and dependent on many factors. In the present study, we characterise the nature of temporal variations of 2-hourly and daily radon measurements in several monitoring sites of the Italian Radon mOnitoring Network (IRON) in Italy. By means of continuous wavelet transformation, a spectral analysis in time-frequency domain is performed. The results reveal that there are sub-daily, daily and yearly persistent periodicities that are common for all the stations. We observe structural seasonal breaks, that occur at the same frequency but at distinct time. Variations in radon concentration and local temperature are studied in terms of frequency contents and synchronicity. When analysing several long time series together, it is evident that the phase difference at low frequency movements (365-day period) between the radon and local temperature time series is depending on the sites’ location and therefore strongly controlled by local factors. This could at least partially explain the apparently contrasting results available in the literature obtained investigating smaller dataset about the relationships between temperature and radon variations. On the other hand, results show that all radon time series are characterised by marked cycles at 1 and 365-days and less evident cycles at 0.5-day and 180-days. They would be all ascribable to environmental-climatic factors: the short-period cycles to temperature and pressure variations, the long-period cycles also to seasonal rainfall variations. |
format | Online Article Text |
id | pubmed-6565803 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65658032019-06-20 Multiple seasonality in soil radon time series Siino, Marianna Scudero, Salvatore Cannelli, Valentina Piersanti, Antonio D’Alessandro, Antonino Sci Rep Article The dynamics governing the movement of the radon are complex and dependent on many factors. In the present study, we characterise the nature of temporal variations of 2-hourly and daily radon measurements in several monitoring sites of the Italian Radon mOnitoring Network (IRON) in Italy. By means of continuous wavelet transformation, a spectral analysis in time-frequency domain is performed. The results reveal that there are sub-daily, daily and yearly persistent periodicities that are common for all the stations. We observe structural seasonal breaks, that occur at the same frequency but at distinct time. Variations in radon concentration and local temperature are studied in terms of frequency contents and synchronicity. When analysing several long time series together, it is evident that the phase difference at low frequency movements (365-day period) between the radon and local temperature time series is depending on the sites’ location and therefore strongly controlled by local factors. This could at least partially explain the apparently contrasting results available in the literature obtained investigating smaller dataset about the relationships between temperature and radon variations. On the other hand, results show that all radon time series are characterised by marked cycles at 1 and 365-days and less evident cycles at 0.5-day and 180-days. They would be all ascribable to environmental-climatic factors: the short-period cycles to temperature and pressure variations, the long-period cycles also to seasonal rainfall variations. Nature Publishing Group UK 2019-06-13 /pmc/articles/PMC6565803/ /pubmed/31197185 http://dx.doi.org/10.1038/s41598-019-44875-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Siino, Marianna Scudero, Salvatore Cannelli, Valentina Piersanti, Antonio D’Alessandro, Antonino Multiple seasonality in soil radon time series |
title | Multiple seasonality in soil radon time series |
title_full | Multiple seasonality in soil radon time series |
title_fullStr | Multiple seasonality in soil radon time series |
title_full_unstemmed | Multiple seasonality in soil radon time series |
title_short | Multiple seasonality in soil radon time series |
title_sort | multiple seasonality in soil radon time series |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6565803/ https://www.ncbi.nlm.nih.gov/pubmed/31197185 http://dx.doi.org/10.1038/s41598-019-44875-z |
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