Discriminating Between Different Streamflow Regimes by Using the Fisher-Shan Method: An Application to the Colombia Rivers

Pierini, Jorge Omar; Restrepo, Juan D.; Lovallo, Michele; Telesca, Luciano

doi:10.2478/s11600-014-0229-2

Cited by 11 publications

(6 citation statements)

References 24 publications

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“…Only 8.5 % of the river headwaters remain pristine (Fundación Pro-Sierra Nevada de Santa Marta, 1997). These land-use changes have led to a general loss of hydrologic modulation capacity in the watersheds, and in turn have favored the occurrence of changes in the hydrological patterns, specifically, an increase in seasonal streamflow extremes (e.g., Pierini et al, 2017;Hoyos et al, 2019).…”

Section: Study Areamentioning

confidence: 99%

Contribution of low-frequency climatic–oceanic oscillations to streamflow variability in small, coastal rivers of the Sierra Nevada de Santa Marta (Colombia)

Restrepo

Higgins

Escobar

et al. 2019

Hydrol. Earth Syst. Sci.

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Abstract. This study evaluated the influence of low-frequency oscillations, that are linked to large-scale oceanographic–atmospheric processes, on streamflow variability in small tropical coastal mountain rivers of the Sierra Nevada de Santa Marta, Colombia. We used data from six rivers that had > 32 years of complete, continuous monthly streamflow records. This investigation employed spectral analyses to (1) explore temporal characteristics of streamflow variability, (2) estimate the net contribution to the energy spectrum of low-frequency oscillations to streamflow anomalies, and (3) analyze the linkages between streamflow anomalies and large-scale, low-frequency oceanographic–atmospheric processes. Wavelet analyses indicate that the 8–12-year component exhibited a quasi-stationary state, with a peak of maximum power between 1985 and 2005. These oscillations were nearly in phase in all rivers. Maximum power peaks occurred for the Palomino and Rancheria rivers in 1985 and 1995, respectively. The wavelet spectrum highlights a change in river variability patterns between 1995 and 2015, characterized by a shift towards the low-frequency oscillations' domain (8–12 years). The net contribution of these oscillations to the energy spectrum was as high as 51 %, a value much larger than previously thought for rivers in northwestern South America. The simultaneous occurrence of hydrologic oscillations, as well as the increase in the amplitude of the 8–12-year band, defined periods of extremely anomalous wet seasons during 1989–1990, 1998–2002 and 2010–2011, reflecting the role of low-frequency oscillations in modulating streamflow variability in these rivers. Cross-wavelet transform and wavelet coherence revealed high common powers and significant coherences in low-frequency bands (>96 months) between streamflow anomalies and Atlantic Meridional Oscillation (AMO), Pacific Decadal Oscillation (PDO) and the Tropical North Atlantic Index (TNA). These results show the role of large-scale, low-frequency oceanographic–climate processes in modulating the long-term hydrological variability of these rivers.

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Section: Study Areamentioning

confidence: 99%

Contribution of low-frequency climatic–oceanic oscillations to streamflow variability in small, coastal rivers of the Sierra Nevada de Santa Marta (Colombia)

Restrepo

Higgins

Escobar

et al. 2019

Hydrol. Earth Syst. Sci.

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“…The concept of Fisher Information (FI) was introduced in the statistical theory estimation (Fisher, 1925), while the special case of FI of a location parameter of a parametric distribution was termed FIM (Frieden, 1990). Subsequently, FIM has been used to describe physical systems (Frieden, 1990;Boumali and Labidi, 2018), and has been applied for time series analysis in physiology (Martin et al, 1999), geophysics (Telesca et al, 2011;Balasis et al, 2016), ecology (Ba et al, 2020), meteorology (Pierini et al, 2016;Guignard et al, 2019b), hydrology (Pierini et al, 2011(Pierini et al, , 2015Lovallo et al, 2013), and social behaviour (Li et al, 2020). For continuous one dimensional variable X with probability density function (pdf) f(x) the FIM I X is defined as (Vignat and Bercher, 2003)…”

Section: The Fisher-shannon Methodsmentioning

confidence: 99%

Fisher Shannon analysis of drought/wetness episodes along a rainfall gradient in Northeast Brazil

Silva

Menezes

Telesca

et al. 2020

Intl Journal of Climatology

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We applied the informational approach of the Fisher-Shannon method to study the time series of Standardized Precipitation Index (SPI) derived from monthly rainfall data at 133 gauging stations in Northeast (NE) Brazil. The climate in the study region ranges from tropical humid in the coastal area Zona de Mata to tropical semiarid inland Sertão, passing through a sub-humid transition region Agreste. The time span is from 1962 to 2012, and SPI was calculated for 1, 3, 6, and 12-month time scales. We calculate information quantifiers Shannon entropy power (SEP) and Fisher information measure (FIM) that quantify signal disorder and structural organization, respectively, and define its position in the Fisher Shannon plane (FS). We find that the SPI-1 series that describes short term dry/wet conditions display a higher degree of organization (higher FIM) and a lower degree of disorder (lower SEP) than SPI's that describe medium and long term conditions (SPI-3, SPI-6, and SPI-12). By analysing the spatial distribution of information quantifiers, we find that short term dry/wet conditions (SPI-1) show the lowest disorder and highest organization degree in the deep inland Sertão region and highest disorder and lowest organization degree in the coastal Zona de Mata region, while long term conditions (SPI-12) show the opposite trend. For medium-term conditions (SPI-3 and SPI-6), the SEP is highest and FIM lowest in the transition sub-humid Agreste region. Our findings indicate that information theory-based methods, particularly FS have the potential to discriminate among different climatic regimes.

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“…O conceito de informação de Fisher (FI) foi introduzido na estatística (Fisher, 1925), enquanto o caso especial de FI de um parâmetro de localização de uma distribuição paramétrica foi denominado medida de informação de Fisher (FIM) (Frieden, 1990). Posteriormente, a FIM foi aplicada para análises de séries temporais em fisiologia (Martin, Pennini, & Plastino, 1999), geofísica (Telesca, Lovallo, Hsu, & Chen, 2011), climatologia (Guignard et al, 2019) e hidrologia (Pierini, Restrepo, Lovallo, & Telesca, 2015).…”

Section: Análise De Fisher-shannonunclassified

Análise de Fisher-Shannon da vazão do rio São Francisco: a influência de barragens e reservatórios

Barreto

Santos

Stošić

2020

RSD

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Investigamos como a construção das barragens de Sobradinho e Xingó afetaram a vazão diária do rio São Francisco, usando a análise de Fisher – Shannon. Foram analisadas as séries temporais de vazão diária das estações fluviométricas de Juazeiro/BA e Pão de Açúcar/AL, que estão a jusante dos reservatórios de Sobradinho e Xingó nos períodos anterior a construção de ambos os reservatórios, depois da construção de Sobradinho e após a construção de Xingó e após a construção de ambos os reservatórios. Aplicamos a análise de Fisher-Shannon nas amostras, e em janelas móveis avaliando as diferenças por meio do teste de Kruskal-Wallis. Este método quantifica simultaneamente as propriedades locais e globais da função de densidade de probabilidade do sinal analisado. Observamos que no regime natural, o grau de organização temporal das séries de vazão diminuiu com aumento de área de drenagem. Após a construção de Sobradinho o grau de regularidade da dinâmica da vazão diminuiu em relação ao regime natural, e após a construção de Xingó observamos uma dinâmica de vazão mais regular e mais organizada. Assim, as operações dos reservatórios alteraram o grau de regularidade, e de organização temporal das séries de vazão, conforme indicado por valores de entropia e de informação de Fisher, respetivamente.

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Discriminating Between Different Streamflow Regimes by Using the Fisher-Shan Method: An Application to the Colombia Rivers

Cited by 11 publications

References 24 publications

Contribution of low-frequency climatic–oceanic oscillations to streamflow variability in small, coastal rivers of the Sierra Nevada de Santa Marta (Colombia)

Contribution of low-frequency climatic–oceanic oscillations to streamflow variability in small, coastal rivers of the Sierra Nevada de Santa Marta (Colombia)

Fisher Shannon analysis of drought/wetness episodes along a rainfall gradient in Northeast Brazil

Análise de Fisher-Shannon da vazão do rio São Francisco: a influência de barragens e reservatórios

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