2022
DOI: 10.1007/s12237-021-01040-y
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Effects of Biophysical Processes on Diel-Cycling Hypoxia in a Subtropical Estuary

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Cited by 12 publications
(8 citation statements)
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“…Our model simulation and associated signal analyses revealed that physical transport is a primary driver of DO variability on hourly timescales in the shallow Corsica River system. These tidal-scale impacts on DO variability reflect that mixing and advection of DO across space is an important feature of hourly-scale DO variability (e.g., Duvall et al, 2022). The transfer of DO signals across space depends on the heterogeneity in DO distribution, and both our simulation and the synoptic surveys showed that heterogeneity is a strong characteristic in DO distribution (Figure 5).…”
Section: Physical Impacts On Do Variabilitymentioning
confidence: 51%
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“…Our model simulation and associated signal analyses revealed that physical transport is a primary driver of DO variability on hourly timescales in the shallow Corsica River system. These tidal-scale impacts on DO variability reflect that mixing and advection of DO across space is an important feature of hourly-scale DO variability (e.g., Duvall et al, 2022). The transfer of DO signals across space depends on the heterogeneity in DO distribution, and both our simulation and the synoptic surveys showed that heterogeneity is a strong characteristic in DO distribution (Figure 5).…”
Section: Physical Impacts On Do Variabilitymentioning
confidence: 51%
“…A significant number of continuous water quality electronic sensors have been deployed in the shallow regions in Chesapeake Bay, which provide unprecedented continuous highfrequency monitoring data (CONMON). The sensor data have revealed high-frequency variability in water quality in shallow systems with large amplitude variations within hours (Shen et al, 2008;Graziano and Jones, 2017;Duvall et al, 2022). The highfrequency variability represents a fundamental challenge to our concept and understanding of ecosystem function and water quality dynamics, which were previously based on an extrapolation from deep water Bay studies.…”
Section: Introductionmentioning
confidence: 99%
“…From each cross-spectrum, the phase lag between DOs and irradiance was computed at f = 1/24 hr -1 (Figure 6d). A peak in the phase lag distribution between 3 to 6 hours is consistent with biological production, wherein the highest DOs concentrations occur in the afternoon following peak daily solar irradiance (Sanford et al 1990;Duvall et al, 2022). These findings suggest that surface biological production was higher in 2021 despite lower daily solar irradiance, which may suggest higher nutrient concentrations in 2021.…”
Section: Surface Observationsmentioning
confidence: 52%
“…Given that the relationship between DO and physical forcing is non-stationary over the summertime observational period, this allowed us to compute a distribution of the phase lag at the dominant frequency of correlation. A similar phase lag distribution can be obtained using the magnitude-squared wavelet coherence between DO and 𝑦𝑦 𝑑𝑑 , which provides a localized measure of correlation in the time-frequency domain (Duvall et al, 2022). Linear trends in DO were removed prior to computing 𝑃𝑃(𝑓𝑓).…”
Section: Spectral Analysismentioning
confidence: 99%
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