Process-based modeling of shallow lake metabolism: Spatio-temporal variability and relative importance of individual processes

Cavalcanti, J. Rafael; Marques, David da Motta; Fragoso, Carlos Ruberto

doi:10.1016/j.ecolmodel.2015.11.010

Cited by 18 publications

(9 citation statements)

References 63 publications

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“…Cloud cover is of major concern in SWT estimation using the TIR bands, since water vapour both absorbs and emits radiance in this spectrum [19], limiting the SWT estimation to cloudfree pixels. Since the Landsat images coincided with water-temperature measurements on only a few days (cloud cover substantially reduced the number of available dates), in order to increase the available data, in this study we used a window of two days of difference between the measurement and the satellite image, as in large lakes the water temperature varies only slightly over this period of time [24,43]. When Landsat images were from a different date than the measurement, MODIS images from the same Landsat date were also used when possible, to better compare them.…”

Section: Study Area and Field Measurementsmentioning

confidence: 99%

Comparison of Methods to Estimate Lake-Surface-Water Temperature Using Landsat 7 ETM+ and MODIS Imagery: Case Study of a Large Shallow Subtropical Lake in Southern Brazil

Tavares

Cunha

Marques

et al. 2019

Water

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Water temperature regulates many processes in lakes; therefore, evaluating it is essential to understand its ecological status and functioning, and to comprehend the impact of climate change. Although few studies assessed the accuracy of individual sensors in estimating lake-surface-water temperature (LSWT), comparative analysis considering different sensors is still needed. This study evaluated the performance of two thermal sensors, MODIS and Landsat 7 ETM+, and used Landsat methods to estimate the SWT of a large subtropical lake. MODIS products MOD11 LST and MOD28 SST were used for comparison. For the Landsat images, the radiative transfer equation (RTE), using NASA’s Atmospheric Correction Parameter Calculator (AtmCorr) parameters, was compared with the single-channel algorithm in different approaches. Our results showed that MOD11 obtained the highest accuracy (RMSE of 1.05 ° C), and is the recommended product for LSWT studies. For Landsat-derived SWT, AtmCorr obtained the highest accuracy (RMSE of 1.07 ° C) and is the recommended method for small lakes. Sensitivity analysis showed that Landsat-derived LSWT using the RTE is very sensitive to atmospheric parameters and emissivity. A discussion of the main error sources was conducted. We recommend that similar tests be applied for Landsat imagery on different lakes, further studies on algorithms to correct the cool-skin effect in inland waters, and tests of different emissivity values to verify if it can compensate for this effect, in an effort to improve the accuracy of these estimates.

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Section: Study Area and Field Measurementsmentioning

confidence: 99%

Comparison of Methods to Estimate Lake-Surface-Water Temperature Using Landsat 7 ETM+ and MODIS Imagery: Case Study of a Large Shallow Subtropical Lake in Southern Brazil

Tavares

Cunha

Marques

et al. 2019

Water

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“…The possibility of simulating functional groups of phytoplankton has been an opportunity recently explored (Shimoda and Arhonditsis, 2016). Most studies applying one-dimensional ecological models to phytoplankton simulations are still based on chlorophyll-a concentrations to represent phytoplankton biomass (Vinçon-Leite et al, 2017;Fadel et al, 2017;Cavalcanti et al, 2016).…”

Section: Sensitivity Analysis and Calibrationmentioning

confidence: 99%

A modelling approach to simulate Chlorophyta and Cyanobacteria biomasses based on historical data of a Brazilian urban reservoir

Barbosa¹,

Gomes²,

Minoti³

2021

Rev. ambiente água

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A process-based model was used to simulate a hindcast based on the worst historical water quality condition of a tropical urban reservoir. Paranoá Lake is located in Brasília-DF, Brazil, and went through intense eutrophication in the 70s and 90s, with an important cyanobacterial bloom event in 1978. The parameters of phytoplankton were calibrated, focusing on the group of Chlorophyta (green algae) and Cyanobacteria (blue-green algae) at four depths (1, 10, 15 and 20m). The results indicated that the model was able to reproduce the Cyanobacteria biomass in comparison with the observations (RMSE=22-29.10-3 mgC L-1). On the other hand, the simulated Chlorophyta biomass showed good agreement with the observed data only in the bottom layer (RMSE=29. 10-3 mgC L-1 at 20m). In the hindcast simulation, the model was able to predict a significant increase in cyanobacterial biomass facing a water quality deterioration. In the meantime, the simulated Chlorophyta biomass decreased, which may indicate the phytoplankton group succession in response to the environmental conditions.

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“…When a simple hydrostatic approach is considered, Equation 3is neglected and q is assumed to be equal to zero in Equations (1) and (2). In this case, it is assumed that the vertical acceleration does not have a significant effect on the velocity field in comparison with the horizontal acceleration, which is the assumption usually applied for simulation of shallow waters (see, e.g., in [36][37][38][39]).…”

Section: Governing Equationsmentioning

confidence: 99%

“…The analytical solution of the free-surface water elevation is given by η = A cos (k x x) cos k y y cos 2π t T (37) where t is the time (the initial condition of the free surface may be obtained by setting t = 0) and T is the wave period equal to 3.1 s, with the wave number kx = ky = n/L and the total wave number k = k 2 x + k 2 y = 0.44 rad m . The analytic solution for each velocity component is described as follows,…”

Section: D Standing Waves In a Closed Basinmentioning

confidence: 99%

Combined Use of High-Resolution Numerical Schemes to Reduce Numerical Diffusion in Coupled Nonhydrostatic Hydrodynamic and Solute Transport Model

Cunha

Fragoso

Tavares

et al. 2019

Water

Self Cite

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In three-dimensional simulations of free-surface flow where the vertical velocities are relevant, such as in lakes, estuaries, reservoirs, and coastal zones, a nonhydrostatic hydrodynamic approach may be necessary. Although the nonhydrostatic hydrodynamic approach improves the physical representation of pressure, acceleration and velocity fields, it is not free of numerical diffusion. This numerical issue stems from the numerical solution employed in the advection and diffusion terms of the Reynolds-averaged Navier–Stokes (RANS) and solute transport equations. The combined use of high-resolution schemes in coupled nonhydrostatic hydrodynamic and solute transport models is a promising alternative to minimize these numerical issues and determine the relationship between numerical diffusion in the two solutions. We evaluated the numerical diffusion in three numerical experiments, for different purposes: The first two experiments evaluated the potential for reducing numerical diffusion in a nonhydrostatic hydrodynamic solution, by applying a quadratic interpolator over a Bilinear, applied in the Eulerian–Lagrangian method (ELM) step-ii interpolation, and the capability of representing the propagation of complex waves. The third experiment evaluated the effect on numerical diffusion of using flux-limiter schemes over a first-order Upwind in solute transport solution, combined with the interpolation methods applied in a coupled hydrodynamic and solute transport model. The high-resolution methods were able to substantially reduce the numerical diffusion in a solute transport problem. This exercise showed that the numerical diffusion of a nonhydrostatic hydrodynamic solution has a major influence on the ability of the model to simulate stratified internal waves, indicating that high-resolution methods must be implemented in the numerical solution to properly simulate real situations.

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Process-based modeling of shallow lake metabolism: Spatio-temporal variability and relative importance of individual processes

Cited by 18 publications

References 63 publications

Comparison of Methods to Estimate Lake-Surface-Water Temperature Using Landsat 7 ETM+ and MODIS Imagery: Case Study of a Large Shallow Subtropical Lake in Southern Brazil

Comparison of Methods to Estimate Lake-Surface-Water Temperature Using Landsat 7 ETM+ and MODIS Imagery: Case Study of a Large Shallow Subtropical Lake in Southern Brazil

A modelling approach to simulate Chlorophyta and Cyanobacteria biomasses based on historical data of a Brazilian urban reservoir

Combined Use of High-Resolution Numerical Schemes to Reduce Numerical Diffusion in Coupled Nonhydrostatic Hydrodynamic and Solute Transport Model

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