Long-range properties and data validity for hydrogeological time series: The case of the Paglia river
The file associated with this record is embargoed until 12 months after the date of publication. The final published version may be available through the links above. This paper explores a large collection of about 377,000 observations, spanning more than 20 years with a frequency of 30 min, of the...
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Online Access: | http://www.sciencedirect.com/science/article/pii/S0378437116309608 http://hdl.handle.net/2381/39632 https://doi.org/10.1016/j.physa.2016.11.137 |
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ftleicester:oai:lra.le.ac.uk:2381/39632 2023-05-15T17:35:06+02:00 Long-range properties and data validity for hydrogeological time series: The case of the Paglia river Ausloos, Marcel Cerqueti, Roy Lupi, Claudio 2017-04-10T10:59:23Z http://www.sciencedirect.com/science/article/pii/S0378437116309608 http://hdl.handle.net/2381/39632 https://doi.org/10.1016/j.physa.2016.11.137 en eng Elsevier for North-Holland Physica A: Statistical Mechanics and its Applications, 2017, 470, pp. 39-50 0378-4371 http://www.sciencedirect.com/science/article/pii/S0378437116309608 http://hdl.handle.net/2381/39632 doi:10.1016/j.physa.2016.11.137 Copyright © 2017, Elsevier. Deposited with reference to the publisher’s archiving policy available on the SHERPA/RoMEO website. Science & Technology Physical Sciences Physics Multidisciplinary River streamflow Hurst exponent Benford's law Detrended fluctuation analysis Discrete generalized Beta distribution BENFORDS LAW MULTIFRACTAL ANALYSIS BREAKDOWN AVERAGES FLOWS Journal Article Article;Journal 2017 ftleicester https://doi.org/10.1016/j.physa.2016.11.137 2019-03-22T20:22:43Z The file associated with this record is embargoed until 12 months after the date of publication. The final published version may be available through the links above. 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. Peer-reviewed Post-print Article in Journal/Newspaper North Atlantic University of Leicester: Leicester Research Archive (LRA) Physica A: Statistical Mechanics and its Applications 470 39 50 |
institution |
Open Polar |
collection |
University of Leicester: Leicester Research Archive (LRA) |
op_collection_id |
ftleicester |
language |
English |
topic |
Science & Technology Physical Sciences Physics Multidisciplinary River streamflow Hurst exponent Benford's law Detrended fluctuation analysis Discrete generalized Beta distribution BENFORDS LAW MULTIFRACTAL ANALYSIS BREAKDOWN AVERAGES FLOWS |
spellingShingle |
Science & Technology Physical Sciences Physics Multidisciplinary River streamflow Hurst exponent Benford's law Detrended fluctuation analysis Discrete generalized Beta distribution BENFORDS LAW MULTIFRACTAL ANALYSIS BREAKDOWN AVERAGES FLOWS Ausloos, Marcel Cerqueti, Roy Lupi, Claudio Long-range properties and data validity for hydrogeological time series: The case of the Paglia river |
topic_facet |
Science & Technology Physical Sciences Physics Multidisciplinary River streamflow Hurst exponent Benford's law Detrended fluctuation analysis Discrete generalized Beta distribution BENFORDS LAW MULTIFRACTAL ANALYSIS BREAKDOWN AVERAGES FLOWS |
description |
The file associated with this record is embargoed until 12 months after the date of publication. The final published version may be available through the links above. 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. Peer-reviewed Post-print |
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 |
publisher |
Elsevier for North-Holland |
publishDate |
2017 |
url |
http://www.sciencedirect.com/science/article/pii/S0378437116309608 http://hdl.handle.net/2381/39632 https://doi.org/10.1016/j.physa.2016.11.137 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
Physica A: Statistical Mechanics and its Applications, 2017, 470, pp. 39-50 0378-4371 http://www.sciencedirect.com/science/article/pii/S0378437116309608 http://hdl.handle.net/2381/39632 doi:10.1016/j.physa.2016.11.137 |
op_rights |
Copyright © 2017, Elsevier. Deposited with reference to the publisher’s archiving policy available on the SHERPA/RoMEO website. |
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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1766134145628504064 |