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 min, 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 origin...
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ftunivmoliseiris:oai:iris.unimol.it:11695/62265 2024-04-14T08:15:59+00:00 Long-range properties and data validity for hydrogeological time series: the case of the Paglia river Ausloos, Marcel Cerqueti, Roy LUPI, Claudio Ausloos, Marcel Cerqueti, Roy Lupi, Claudio 2017 http://hdl.handle.net/11695/62265 https://doi.org/10.1016/j.physa.2016.11.137 http://www.sciencedirect.com/science/article/pii/S0378437116309608 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000392793700004 volume:470 firstpage:39 lastpage:50 numberofpages:12 journal:PHYSICA. A http://hdl.handle.net/11695/62265 doi:10.1016/j.physa.2016.11.137 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85003696222 http://www.sciencedirect.com/science/article/pii/S0378437116309608 River streamflow Hurst exponent Benford’s law Detrended fluctuation analysis Discrete generalized Beta distribution info:eu-repo/semantics/article 2017 ftunivmoliseiris https://doi.org/10.1016/j.physa.2016.11.137 2024-03-21T18:11:17Z This paper explores a large collection of about 377,000 observations, spanning more than 20 years with a frequency of 30 min, 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 behavior with El Niño 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 behavior. 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. Article in Journal/Newspaper North Atlantic Università degli Studi del Molise: IRIS Physica A: Statistical Mechanics and its Applications 470 39 50 |
institution |
Open Polar |
collection |
Università degli Studi del Molise: IRIS |
op_collection_id |
ftunivmoliseiris |
language |
English |
topic |
River streamflow Hurst exponent Benford’s law Detrended fluctuation analysis Discrete generalized Beta distribution |
spellingShingle |
River streamflow Hurst exponent Benford’s law Detrended fluctuation analysis Discrete generalized Beta distribution Ausloos, Marcel Cerqueti, Roy LUPI, Claudio Long-range properties and data validity for hydrogeological time series: the case of the Paglia river |
topic_facet |
River streamflow Hurst exponent Benford’s law Detrended fluctuation analysis Discrete generalized Beta distribution |
description |
This paper explores a large collection of about 377,000 observations, spanning more than 20 years with a frequency of 30 min, 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 behavior with El Niño 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 behavior. 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. |
author2 |
Ausloos, Marcel Cerqueti, Roy Lupi, Claudio |
format |
Article in Journal/Newspaper |
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 |
publishDate |
2017 |
url |
http://hdl.handle.net/11695/62265 https://doi.org/10.1016/j.physa.2016.11.137 http://www.sciencedirect.com/science/article/pii/S0378437116309608 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000392793700004 volume:470 firstpage:39 lastpage:50 numberofpages:12 journal:PHYSICA. A http://hdl.handle.net/11695/62265 doi:10.1016/j.physa.2016.11.137 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85003696222 http://www.sciencedirect.com/science/article/pii/S0378437116309608 |
op_doi |
https://doi.org/10.1016/j.physa.2016.11.137 |
container_title |
Physica A: Statistical Mechanics and its Applications |
container_volume |
470 |
container_start_page |
39 |
op_container_end_page |
50 |
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1796314509512540160 |