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...
Published in: | Physica A: Statistical Mechanics and its Applications |
---|---|
Main Authors: | , , |
Other Authors: | |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Elsevier
2017
|
Subjects: | |
Online Access: | http://hdl.handle.net/11393/235824 https://doi.org/10.1016/j.physa.2016.11.137 |
id |
ftunmaceratairis:oai:u-pad.unimc.it:11393/235824 |
---|---|
record_format |
openpolar |
spelling |
ftunmaceratairis:oai:u-pad.unimc.it:11393/235824 2024-04-14T08:15:58+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/11393/235824 https://doi.org/10.1016/j.physa.2016.11.137 eng eng Elsevier country:NLD place:Amsterdam info:eu-repo/semantics/altIdentifier/wos/WOS:000392793700004 volume:470 firstpage:39 lastpage:50 numberofpages:12 journal:PHYSICA. A http://hdl.handle.net/11393/235824 doi:10.1016/j.physa.2016.11.137 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85003696222 info:eu-repo/semantics/restrictedAccess info:eu-repo/semantics/article 2017 ftunmaceratairis https://doi.org/10.1016/j.physa.2016.11.137 2024-03-21T17:56:57Z 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 di Macerata: UniMC - Pubblicazioni Aperte Digitali (U-PAD) Physica A: Statistical Mechanics and its Applications 470 39 50 |
institution |
Open Polar |
collection |
Università di Macerata: UniMC - Pubblicazioni Aperte Digitali (U-PAD) |
op_collection_id |
ftunmaceratairis |
language |
English |
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 |
spellingShingle |
Ausloos, Marcel CERQUETI, ROY Lupi, Claudio Long-range properties and data validity for hydrogeological time series: The case of the Paglia river |
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 |
Elsevier |
publishDate |
2017 |
url |
http://hdl.handle.net/11393/235824 https://doi.org/10.1016/j.physa.2016.11.137 |
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/11393/235824 doi:10.1016/j.physa.2016.11.137 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85003696222 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
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 |
_version_ |
1796314483370491904 |