Advances in Environmental Hydraulics

Gualtieri, Carlo; Shao, Dongdong; Angeloudis, Athanasios

doi:10.3390/w13091192

Cited by 4 publications

(4 citation statements)

References 16 publications

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“… b Measured data from uniform flow experiments first collected by authors such as Elder (1959), Fischer (1973), Fischer et al. (1979) and recently summarized by Gualtieri and Mucherino (2007), Huai et al. (2018), and Fagour et al.…”

Section: Discussionmentioning

confidence: 99%

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Formulations and Diffusivity Coefficients of the 2D Depth‐Averaged Advection‐Diffusion Models: A Literature Review

Mignot,

Riviere,

Dewals

2023

Water Resources Research

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This article reviews the mathematical formulations of the depth‐integrated advection‐diffusion equation used so far for modeling scalar transport and mixing in shallow environmental flows. It also summarizes the main approaches developed to evaluate the diffusivity tensor in such models. Remarkably, seven different formulations were found for the depth‐averaged advection‐diffusion equation, and eight distinct approaches have been used for determining the coefficients of the diffusivity tensor. Besides, only a minority of the reviewed studies report calibration of the diffusivity tensor against experimental or field observations. The fragmentation of existing methodologies exhibits a lack of scientific consensus. Promising approaches are highlighted and possible paths for improving the calibration, validation and transferability of the diffusivity coefficients are outlined.

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Section: Discussionmentioning

confidence: 99%

“…(2016). Such data are readily available from recent review articles such as Kashefipour and Falconer (2002), Gualtieri and Mucherino (2007), Y. Wang and Huai (2016), Huai et al. (2018), or Fagour et al.…”

Section: Discussionmentioning

confidence: 99%

Formulations and Diffusivity Coefficients of the 2D Depth‐Averaged Advection‐Diffusion Models: A Literature Review

Mignot,

Riviere,

Dewals

2023

Water Resources Research

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“…In 2019 (blue), Mn is highest in the mid-section of the river (M6-M8) that is likely due to accumulation of contaminated sediments at the most meandering portion of the river. Diminished flow velocities and dead zones in these portions can cause high hydraulic retention and sediment deposition [68]. In 2021 (grey), sediment Mn declined throughout the length of the river, with highest concentrations now further downstream at M9-M11.…”

Section: Sediment and Surface Water Qualitymentioning

confidence: 99%

“…Mn is a potentially toxic metal depending on the route and level of exposure and it had one of the highest concentration increases in sediments, from 1060 ppm in 1998, to 68,169 ppm in 2019. According to Rovetta et al [9], USEPA [10], and WHO [11], too much uptake of Mn by humans can severely affect the central nervous system, and the liver, immune, reproductive, and cardiovascular systems.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Assessment of Manganese Contamination in Relation to River Morphology: A Study of the Boac and Mogpog Rivers in Marinduque, Philippines

2023

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This study investigates the contribution of river morphology towards the occurrence of manganese (Mn) in both sediment and surface water (SW), considering the temporal climatic and spatial conditions. The Boac and Mogpog rivers on the island province of Marinduque, Philippines, were examined in this study. These rivers are downstream of the two abandoned open mine pits at San Antonio and Tapian, where mining disasters occurred in 1993 and 1996, respectively. Field sampling programs were conducted in 2019, 2021 and 2022 to measure the Mn concentrations in sediment and SW, and the physicochemical parameters in SW during the same sampling event. Geographic Information System (GIS) tools were employed to characterize the morphology of each river, specifically river slope, river bends, sinuosity, and channel width and length. The Boac and Mogpog rivers were divided into 22 and 15 river segments, respectively, to account for spatial heterogeneity of all parameters. Correlation (r) analysis on the average Mn concentration and river morphology within each segment was performed and indicated that river bends (Boac r = 0.421, Mogpog r = 0.356) and sinuosity (Boac r = 0.403, Mogpog r = 0.352) had the highest correlation with Mn concentrations in sediment. While river slope (Boac r = 0.716, Mogpog r = 0.282) and sinuosity (Boac r = 0.505, Mogpog r = 0.257) were the highest for Mn in SW. This confirmed that the planform of the river affected the accumulation of Mn due to its effect on sediment deposition along the river and its potential to adsorb and/or desorb metals. Furthermore, the pH of SW also directly correlated with sediment Mn (r = 0.293), and inversely correlated with SW Mn (r = −0.465), which was expected as acidic water promotes the release of metals from sediments to SW. The results from this study will aid local government, environmental engineers and managers in their mitigation program through identification of the areas and segments in the river that contain the highest and the least contamination. This is to optimize financial and human resources during river system remediation and monitoring. Data and information extracted from this study are useful in other areas of similar condition.

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Reinvestigating the Parabolic-Shaped Eddy Viscosity Profile for Free Surface Flows

Absi

2021

Hydrology

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The flow in rivers is turbulent. The main parameter related to turbulence in rivers is the eddy viscosity, which is used to model a turbulent flow and is involved in the determination of both velocities and sediment concentrations. A well-known and largely used vertical distribution of eddy viscosity in free surface flows (open channels and rivers) is given by the parabolic profile that is based on the logarithmic velocity profile assumption and is valid therefore only in the log-law layer. It was improved thanks to the log-wake law velocity profile. These two eddy viscosities are obtained from velocity profiles, and the main shortcoming of the log-wake profile is the empirical Coles’ parameter. A more rigorous and reliable analytical eddy viscosity model is needed. In this study, we present two analytical eddy viscosity models based on the concepts of velocity and length scales, which are related to the exponentially decreasing turbulent kinetic energy (TKE) function and mixing length, namely, (1) the exponential-type profile of eddy viscosity and (2) an eddy viscosity based on an extension of von Karman’s similarity hypothesis. The eddy viscosity from the second model is Re*-independent, while the eddy viscosity from the first model is Re*-dependent (where Re* is the friction Reynolds number). The proposed analytical models were validated through computation of velocity profiles, obtained from the resolution of the momentum equation and comparisons to experimental data. With an additional correction function related to the damping effect of turbulence near the free surface, both models are similar to the log-wake-modified eddy viscosity profile but with different values of the Coles’ parameter, i.e., Π=0.2 for the first model and Π=0.15 for the second model. These values are similar to those found in open-channel flow experiments. This provides an explanation about the accuracy of these two analytical models in the outer part of free surface flows. For large values of Re* (Re* > 2000), the first model becomes Re* independent, and the two coefficients reach asymptotic values. Finally, the two proposed eddy viscosity models are validated by experimental data of eddy viscosity.

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Advances in Environmental Hydraulics

Abstract: Environmental Hydraulics (EH) is the scientific study of environmental water flows and their related transport and transformation processes affecting the environmental quality of natural water systems, such as rivers, lakes, and aquifers, on our planet Earth [...]

Cited by 4 publications

References 16 publications

Formulations and Diffusivity Coefficients of the 2D Depth‐Averaged Advection‐Diffusion Models: A Literature Review

Formulations and Diffusivity Coefficients of the 2D Depth‐Averaged Advection‐Diffusion Models: A Literature Review

Spatio-Temporal Assessment of Manganese Contamination in Relation to River Morphology: A Study of the Boac and Mogpog Rivers in Marinduque, Philippines

Reinvestigating the Parabolic-Shaped Eddy Viscosity Profile for Free Surface Flows

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