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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ftlondsouthbanku:oai:openresearch.lsbu.ac.uk:89305 2023-06-11T04:14:48+02:00 Long-range properties and data validity for hydrogeological time series: The case of the Paglia river Ausloos, M. Cerqueti, R. Lupi, C. 2017 application/pdf https://openresearch.lsbu.ac.uk/item/89305 https://openresearch.lsbu.ac.uk/download/a7b3f63056eca3671e0aa57fb2ea210dfbe21e0ea9432391200c18d02cd99b30/1950498/ACL_Paglia_Resubmitted.pdf https://doi.org/10.1016/j.physa.2016.11.137 unknown Elsevier BV https://openresearch.lsbu.ac.uk/download/a7b3f63056eca3671e0aa57fb2ea210dfbe21e0ea9432391200c18d02cd99b30/1950498/ACL_Paglia_Resubmitted.pdf https://doi.org/10.1016/j.physa.2016.11.137 Ausloos, M., Cerqueti, R. and Lupi, C. (2017). Long-range properties and data validity for hydrogeological time series: The case of the Paglia river. Physica A: Statistical Mechanics and its Applications. 470, pp. 39-50. https://doi.org/10.1016/j.physa.2016.11.137 CC BY-NC-ND 4.0 journal-article PeerReviewed 2017 ftlondsouthbanku https://doi.org/10.1016/j.physa.2016.11.137 2023-04-27T22:30:53Z 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. Text North Atlantic LSBU Research Open (London South Bank University) Physica A: Statistical Mechanics and its Applications 470 39 50 |
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LSBU Research Open (London South Bank University) |
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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. |
format |
Text |
author |
Ausloos, M. Cerqueti, R. Lupi, C. |
spellingShingle |
Ausloos, M. Cerqueti, R. Lupi, C. Long-range properties and data validity for hydrogeological time series: The case of the Paglia river |
author_facet |
Ausloos, M. Cerqueti, R. Lupi, C. |
author_sort |
Ausloos, M. |
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 BV |
publishDate |
2017 |
url |
https://openresearch.lsbu.ac.uk/item/89305 https://openresearch.lsbu.ac.uk/download/a7b3f63056eca3671e0aa57fb2ea210dfbe21e0ea9432391200c18d02cd99b30/1950498/ACL_Paglia_Resubmitted.pdf https://doi.org/10.1016/j.physa.2016.11.137 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
https://openresearch.lsbu.ac.uk/download/a7b3f63056eca3671e0aa57fb2ea210dfbe21e0ea9432391200c18d02cd99b30/1950498/ACL_Paglia_Resubmitted.pdf https://doi.org/10.1016/j.physa.2016.11.137 Ausloos, M., Cerqueti, R. and Lupi, C. (2017). Long-range properties and data validity for hydrogeological time series: The case of the Paglia river. Physica A: Statistical Mechanics and its Applications. 470, pp. 39-50. https://doi.org/10.1016/j.physa.2016.11.137 |
op_rights |
CC BY-NC-ND 4.0 |
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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1768371109643681792 |