Long-range properties and data validity for hydrogeological time series: the case of the Paglia river

This paper explores a large collection of about 377,000 observations, spanning more than 20 years with a frequency of 30 minutes, of the streamflow of the Paglia river, in central Italy. We analyze the long-term persistence properties of the series by computing the Hurst exponent, not only in its or...

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Main Authors: Ausloos, Marcel, Cerqueti, Roy, Lupi, Claudio
Format: Text
Language:unknown
Published: arXiv 2016
Subjects:
Online Access:https://dx.doi.org/10.48550/arxiv.1611.09167
https://arxiv.org/abs/1611.09167
id ftdatacite:10.48550/arxiv.1611.09167
record_format openpolar
spelling ftdatacite:10.48550/arxiv.1611.09167 2023-05-15T17:35:34+02:00 Long-range properties and data validity for hydrogeological time series: the case of the Paglia river Ausloos, Marcel Cerqueti, Roy Lupi, Claudio 2016 https://dx.doi.org/10.48550/arxiv.1611.09167 https://arxiv.org/abs/1611.09167 unknown arXiv https://dx.doi.org/10.1016/j.physa.2016.11.137 arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Geophysics physics.geo-ph Statistical Mechanics cond-mat.stat-mech Applications stat.AP FOS Physical sciences FOS Computer and information sciences article-journal Article ScholarlyArticle Text 2016 ftdatacite https://doi.org/10.48550/arxiv.1611.09167 https://doi.org/10.1016/j.physa.2016.11.137 2022-04-01T11:16:48Z This paper explores a large collection of about 377,000 observations, spanning more than 20 years with a frequency of 30 minutes, of the streamflow of the Paglia river, in central Italy. We analyze the long-term persistence properties of the series by computing the Hurst exponent, not only in its original form but also under an evolutionary point of view by analyzing the Hurst exponents over a rolling windows basis. The methodological tool adopted for the persistence is the detrended fluctuation analysis (DFA), which is classically known as suitable for our purpose. As an ancillary exploration, we implement a control on the data validity by assessing if the data exhibit the regularity stated by Benford's law. Results are interesting under different viewpoints. First, we show that the Paglia river streamflow exhibits periodicities which broadly suggest the existence of some common behaviour with El Nino and the North Atlantic Oscillations: this specifically points to a (not necessarily direct) effect of these oceanic phenomena on the hydrogeological equilibria of very far geographical zones: however, such an hypothesis needs further analyses to be validated. Second, the series of streamflows shows an antipersistent behaviour. Third, data are not consistent with Benford's law: this suggests that the measurement criteria should be opportunely revised. Fourth, the streamflow distribution is well approximated by a discrete generalized Beta distribution: this is well in accordance with the measured streamflows being the outcome of a complex system. : prepared for Physica A; 23 pages; 42 references; 3 tables; 11 figures Text North Atlantic DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Geophysics physics.geo-ph
Statistical Mechanics cond-mat.stat-mech
Applications stat.AP
FOS Physical sciences
FOS Computer and information sciences
spellingShingle Geophysics physics.geo-ph
Statistical Mechanics cond-mat.stat-mech
Applications stat.AP
FOS Physical sciences
FOS Computer and information sciences
Ausloos, Marcel
Cerqueti, Roy
Lupi, Claudio
Long-range properties and data validity for hydrogeological time series: the case of the Paglia river
topic_facet Geophysics physics.geo-ph
Statistical Mechanics cond-mat.stat-mech
Applications stat.AP
FOS Physical sciences
FOS Computer and information sciences
description This paper explores a large collection of about 377,000 observations, spanning more than 20 years with a frequency of 30 minutes, of the streamflow of the Paglia river, in central Italy. We analyze the long-term persistence properties of the series by computing the Hurst exponent, not only in its original form but also under an evolutionary point of view by analyzing the Hurst exponents over a rolling windows basis. The methodological tool adopted for the persistence is the detrended fluctuation analysis (DFA), which is classically known as suitable for our purpose. As an ancillary exploration, we implement a control on the data validity by assessing if the data exhibit the regularity stated by Benford's law. Results are interesting under different viewpoints. First, we show that the Paglia river streamflow exhibits periodicities which broadly suggest the existence of some common behaviour with El Nino and the North Atlantic Oscillations: this specifically points to a (not necessarily direct) effect of these oceanic phenomena on the hydrogeological equilibria of very far geographical zones: however, such an hypothesis needs further analyses to be validated. Second, the series of streamflows shows an antipersistent behaviour. Third, data are not consistent with Benford's law: this suggests that the measurement criteria should be opportunely revised. Fourth, the streamflow distribution is well approximated by a discrete generalized Beta distribution: this is well in accordance with the measured streamflows being the outcome of a complex system. : prepared for Physica A; 23 pages; 42 references; 3 tables; 11 figures
format Text
author Ausloos, Marcel
Cerqueti, Roy
Lupi, Claudio
author_facet Ausloos, Marcel
Cerqueti, Roy
Lupi, Claudio
author_sort Ausloos, Marcel
title Long-range properties and data validity for hydrogeological time series: the case of the Paglia river
title_short Long-range properties and data validity for hydrogeological time series: the case of the Paglia river
title_full Long-range properties and data validity for hydrogeological time series: the case of the Paglia river
title_fullStr Long-range properties and data validity for hydrogeological time series: the case of the Paglia river
title_full_unstemmed Long-range properties and data validity for hydrogeological time series: the case of the Paglia river
title_sort long-range properties and data validity for hydrogeological time series: the case of the paglia river
publisher arXiv
publishDate 2016
url https://dx.doi.org/10.48550/arxiv.1611.09167
https://arxiv.org/abs/1611.09167
genre North Atlantic
genre_facet North Atlantic
op_relation https://dx.doi.org/10.1016/j.physa.2016.11.137
op_rights arXiv.org perpetual, non-exclusive license
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
op_doi https://doi.org/10.48550/arxiv.1611.09167
https://doi.org/10.1016/j.physa.2016.11.137
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