Improving the Spectral Analysis of Hydrological Signals to Efficiently Constrain Watershed Properties

Schuite, Jonathan; Flipo, Nicolas; Massei, Nicolas; Rivière, Agnès; Baratelli, Fulvia

doi:10.1029/2018wr024579

Cited by 31 publications

(31 citation statements)

References 72 publications

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“…Fourier‐transform‐based spectral analysis and other filtering techniques have had some practical applications in hydrology (e.g., Fleming, Lavenue, Aly, & Adams, 2002; Sang, Wang, & Liu, 2012; Schaefli, Maraun, & Holschneider, 2007), but their potential for comprehensively analysing hydrologic time‐series has not been fully realized. Care must be taken to choose an appropriate transfer function, however, as misinformed application can lead to misinterpretations of the data (Du, Zhao, & Lei, 2017; Schuite, Flipo, Massei, Rivière, & Baratelli, 2019).…”

Section: Methodsmentioning

confidence: 99%

Surface water‐groundwater exchange dynamics in buried‐valley aquifer systems

Wallace

Soltanian

2021

Hydrological Processes

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Groundwater is a primary source of drinking water worldwide, but excess nutrients and emerging contaminants could compromise groundwater quality and limit its usage as a drinking water source. As such contaminants become increasingly prevalent in the biosphere, a fundamental understanding of their fate and transport in groundwater systems is necessary to implement successful remediation strategies. The dynamics of surface water-groundwater (hyporheic) exchange within a glacial, buried-valley aquifer system are examined in the context of their implications for the transport of nutrients and contaminants in riparian sediments. High conductivity facies act as preferential flow pathways which enhance nutrient and contaminant delivery, especially during storm events, but transport throughout the aquifer also depends on subsurface sedimentary architecture (e.g. interbedded high and low conductivity facies). Temperature and specific conductance measurements indicate extensive hyporheic mixing close to the river channel, but surface water influence was also observed far from the stream-aquifer interface. Measurements of river stage and hydraulic head indicate that significant flows during storms (i.e., hot moments) alter groundwater flow patterns, even between consecutive storm events, as riverbed conductivity and, more importantly, the hydraulic connectivity between the river and aquifer change. Given the similar mass transport characteristics among buriedvalley aquifers, these findings are likely representative of glacial aquifer systems worldwide. Our results suggest that water resources management decisions based on average (base) flow conditions may inaccurately represent the system being evaluated, and could reduce the effectiveness of remediation strategies for nutrients and emerging contaminants.

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Section: Methodsmentioning

confidence: 99%

Surface water‐groundwater exchange dynamics in buried‐valley aquifer systems

Wallace

Soltanian

2021

Hydrological Processes

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“…To quantify how river discharge and temperature signals are retranscribed in the hyporheic zone, a simple relation is used to calculate the experimental transfer function (TF) (Duffy & Gelhar, ; Gelhar, ; Pedretti et al, ; Schuite et al, ; Wörman et al, )

T F_{t e m p} = \frac{P S D_{T_{H Z}}}{P S D_{T_{s}}},

T F_{f l o w} = \frac{P S D_{H E F}}{P S D_{normald}},

where

P S D_{T_{H Z}}

P S D_{T_{s}}

P S D_{H E F}

, and

P S D_{normald}

are the power spectral density of temperature of exfiltrating hyporheic exchange fluxes, river temperature, hyporheic exchange fluxes, and river discharge, respectively. In this case, high values of TF correspond to frequencies that are minimally filtered while low values correspond to frequencies that are preferentially filtered.…”

Section: Methodsmentioning

confidence: 99%

Impact of Flow Alteration and Temperature Variability on Hyporheic Exchange

Gomez‐Velez

Krause

et al. 2020

Water Resources Research

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Coupled groundwater flow and heat transport within hyporheic zones extensively affect water, energy, and solute exchange with surrounding sediments. The local and cumulative implications of this tightly coupled process strongly depend on characteristics of drivers (i.e., discharge and temperature of the water column) and modulators (i.e., hydraulic and thermal properties of the sediment). With this in mind, we perform a systematic numerical analysis of hyporheic responses to understand how the temporal variability of river discharge and temperature affect flow and heat transport within hyporheic zones. We identify typical time series of river discharge and temperature from gauging stations along the headwater region of Mississippi River Basin, which are characterized by different degrees of flow alteration, to drive a physics‐based model of the hyporheic exchange process. Our modeling results indicate that coupled groundwater flow and heat transport significantly affects the dynamic response of hyporheic zones, resulting in substantial differences in exchange rates and characteristic time scales of hyporheic exchange processes. We also find that the hyporheic zone dampens river temperature fluctuations increasingly with higher frequency of temperature fluctuations. This dampening effect depends on the system transport time scale and characteristics of river discharge and temperature variability. Furthermore, our results reveal that the flow alteration reduces the potential of hyporheic zones to act as a temperature buffer and hinders denitrification within hyporheic zones. These results have significant implications for understanding the drivers of local variability in hyporheic exchange and the implications for the development of thermal refugia and ecosystem functioning in hyporheic zones.

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“…In addition, further analysis on Paris' Austerlitz gauging station, which includes very large groundwater support, reveals the same absence of phaseamplitude interaction in discharge (not shown, Flipo et al (2020)). Possible explanations include the frequency partitioning of watershed compartments or integration process along the river network breaks any spatial connection and thus smooths out and flattens phase-amplitude interactions (Schuite et al, 2019).…”

Section: Cross-scale Interactionsmentioning

confidence: 99%

Spatio-temporal and cross-scale interactions in hydroclimate variability: a case-study in France

Fossa¹,

Dieppois²,

Masséi³

et al. 2021

Preprint

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Abstract. Understanding how water resources vary at different temporal and spatial scales in response to climate is crucial to inform long-term management. Climate change impacts and induced trends may indeed be substantially modulated by low-frequency (multi-year) variations, whose strength varies in time and space, with large consequences on risk forecasting systems. In this study, we present a spatial classification of precipitation, temperature and discharge variability in France, based on a fuzzy clustering and wavelet spectra of 152 near natural watersheds between 1958 and 2008. We also explore phase-phase and phase-amplitude causal interactions between time scales of each homogeneous region. Three significant time scales of variability are found in precipitation, temperature and discharge: 1 year, 2–4 years and 5–8 years. The magnitude of those time scales of variability is however not constant over the different regions. For instance, Southern regions are markedly different from other regions, with much lower 5–8 years variability and much larger 2–4 years variability. Several temporal changes in precipitation, temperature and discharge variability are identified during the 1980s and 1990s. Notably, we note a sudden decrease in annual temperature variability in the mid 1990s in the Southern half of France. Investigating cross-scale interactions, our study reveals causal and bi-directional relationships between higher and lower-frequency variability, which may feature interactions within the coupled land-ocean-atmosphere systems. Interestingly, however, even though time-frequency patterns (occurrence and timing of time scales of variability) were similar between regions, cross-scale interactions are far much complex, differ between regions, and are not systematically transferred from climate variability (precipitation and temperature) to hydrological variability (discharge). Phase-amplitude interactions are indeed absent in discharge variability, although significant phase-amplitude interactions are found in precipitation and temperature. This suggests that watershed characteristics cancel the negative feedback systems found in precipitation and temperature.This study allows for a multi-time scale representation of hydro-climate variability in France, and provides unique insight into the complex non-linear dynamics of this variability, and its predictability.

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Improving the Spectral Analysis of Hydrological Signals to Efficiently Constrain Watershed Properties

Cited by 31 publications

References 72 publications

Surface water‐groundwater exchange dynamics in buried‐valley aquifer systems

Surface water‐groundwater exchange dynamics in buried‐valley aquifer systems

Impact of Flow Alteration and Temperature Variability on Hyporheic Exchange

Spatio-temporal and cross-scale interactions in hydroclimate variability: a case-study in France

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