Relative Performance of 1-D Versus 3-D Hydrodynamic, Water-Quality Models for Predicting Water Temperature and Oxygen in a Shallow, Eutrophic, Managed Reservoir

Man, Xiamei; Lei, Chengwang; Carey, Cayelan C.; Little, John C.

doi:10.3390/w13010088

Cited by 9 publications

(8 citation statements)

References 51 publications

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“…Table 5. Examples of the RMSE temperature values of four lake models taken from recent literature (Dissanayake et al 2019;Baracchini et al 2020;Gasca-Ortiz et al 2020;Man et al 2021). None of these studies accounted for the effect of weather bias on their manually sampled WQ data.…”

Section: Weather Bias Estimationmentioning

confidence: 99%

The human factor: Weather bias in manual lake water quality monitoring

Rand

Nanko

Lykkegaard

et al. 2022

Limnology & Ocean Methods

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Sampling bias due to weather conditions has been anecdotally reported; however, in this analysis we demonstrate that manual lake sampling is significantly more likely to take place in "fair weather" conditions. We show and quantify how a manual lake monitoring program in Maine, USA, is biased due to wind speed, rainfall intensity, and air temperature. Emulating a manually sampled water quality (WQ) data set, we show that, on average, manual sampling recorded, depending upon depth, higher water temperature (between 0.4 C and 1.2 C), lower dissolved oxygen (DO) (between À0.8 and À0.4 mgL À1 ), and higher chlorophyll values (2.0 μgL À1 ) than average automated monitoring. By analyzing the actual manual monitoring data, we show that manually collected lake water temperatures are on average 1.0 C higher in the epilimnion and 0.5 C (corrected for sensor lag) higher in the hypolimnion compared to those collected using automated methods. We attribute these differences in WQ measurement values to the weather-induced manual sampling bias. We believe that the nature of weather bias on manual monitoring will always record higher water temperatures, higher chlorophyll, and lower DO than automatic monitoring. The methodologies presented in this study will apply to similar manually sampled lake monitoring programs and the manual sampling bias will likely affect other WQ parameters. The weatherinduced water temperature bias reported is of the same order of magnitude as the root mean square errors reported in many lake models and is therefore considered substantial. If generally applicable and not corrected for, these results will have important implications for climate models, and similar applications, where manually collected WQ data are employed.

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Section: Weather Bias Estimationmentioning

confidence: 99%

The human factor: Weather bias in manual lake water quality monitoring

Rand

Nanko

Lykkegaard

et al. 2022

Limnology & Ocean Methods

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show abstract

“…The computational result of the 2D model is more detailed, which can accurately simulate local flow patterns and pollutant migration, and is suitable for wider rivers and lakes 14 . The 3D model comprehensively considers the hydrodynamics and water quality changes of the three dimensions, and the calculation results are more accurate and comprehensive, but the calculation is a huge quantity 15 . The different dimensional model coupling is often constructed according to the characteristics of the study object and study purpose, then the model’s applicability is stronger.…”

Section: Introductionmentioning

confidence: 99%

Impact on urban river water quality and pollution control of water environmental management projects based on SMS-Mike21 coupled simulation

Wei,

Rao,

Liu

et al. 2024

Sci Rep

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To explore the impact of expanding Nanyang Sewage Purification Center (NSPC) on the main sewage discharge area of Bai River, we constructed a 2D hydrodynamic-water quality model based on surface water modeling system (SMS) and Mike21. Simulating three sewage discharge conditions in wet, normal, and dry season, we evaluated three indicators (COD, NH3-N, and BOD5) by the single-factor pollution index and provided recommendations for water environment management. The results showed that, maximum absolute error of water level was 0.08 m, percentage bias coefficient of COD, NH3-N and BOD5 were 19.3%, 16.2% and 23.1%, indicating the SMS and Mike21 coupling model was applicable; water quality of the assessment section were upgraded from the original class IV, V, V (Condition 1) to class IV, III, II (Condition 2) and class IV, III, III (Condition 3) in the wet, normal and dry season, indicating that NSPC's expansion had improved the water quality of the assessment section; as the primary pollutant, BOD5 concentration in the downstream was lower than the upstream, which was due to the dilution effect of river. Therefore, on the basis of expanding NSPC, we recommend to remediation of BOD5 by physical, chemical, and biological methods. This study broadens new ideas for the application of Mike21, and provide a reference for the prevention and improvement of river water pollution in urban areas.

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“…Both domestic and international experts have extensively researched the underwater propulsion mechanism of the flapping hydrofoil bionic pump. Previous studies (References [12][13][14][15]) have examined hydraulic models of river networks. These models are classified into three types based on the distinct physical qualities being examined: one-dimensional models, two-dimensional models, and three-dimensional models.…”

Section: Introductionmentioning

confidence: 99%

Study on the Hydrodynamic Performance of Swing-Type Flapping Hydrofoil Bionic Pumps Affected by Foil Camber

Sun,

Hua,

Sun

et al. 2024

Water

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The flapping hydrofoil bionic pump is an innovative hydrodynamic device that utilizes flapping hydrofoil technology. Flapping hydrofoil bionic pumps are crucial in addressing issues like inadequate river hydropower and limited water purification capabilities in flat river network regions. Optimizing the foil characteristics is essential for enhancing the hydrodynamic efficiency of the flapping hydrofoil bionic pump. This study investigates the impact of foil camber parameters on the hydrodynamic performance of swing-type asymmetric flapping bionic pumps. The NACA series standard foils with varying cambers are analyzed using the overlapping grid technology and finite volume method. The thrust coefficient, flow rate, pumping efficiency, and flow field structure of the flapping hydrofoil bionic pump are examined under pressure inlet conditions with the foil camber. The findings indicate that increasing the foil’s curvature within a specific range can greatly enhance the maximum values of thrust coefficient, propulsive efficiency, and pumping efficiency of the flapping hydrofoil bionic pump. Specifically, when the foil curvature is 6%c, the maximum value of the instantaneous thrust coefficient of the flapping hydrofoil bionic pump is significantly improved by 31.25% compared to the symmetric foil type under the condition of an oscillating frequency of f = 1 HZ. The flapping hydrofoil bionic pump achieves its maximum pumping efficiency when the oscillation frequency is within the range of f ≤ 2.5 Hz. This efficiency is 11.7% greater than that of the symmetric foil, and it occurs when the foil curvature is 8%c. Within the frequency range of f > 2.5 Hz, the flapping hydrofoil bionic pump that has a foil curvature of 6%c exhibits the highest enhancement in pumping efficiency. It achieves a maximum increase of 12.8% compared to the symmetric foil type. Nevertheless, the average head was less than 0.4 m, making it suitable for ultra-low-head applications.

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Relative Performance of 1-D Versus 3-D Hydrodynamic, Water-Quality Models for Predicting Water Temperature and Oxygen in a Shallow, Eutrophic, Managed Reservoir

Cited by 9 publications

References 51 publications

The human factor: Weather bias in manual lake water quality monitoring

The human factor: Weather bias in manual lake water quality monitoring

Impact on urban river water quality and pollution control of water environmental management projects based on SMS-Mike21 coupled simulation

Study on the Hydrodynamic Performance of Swing-Type Flapping Hydrofoil Bionic Pumps Affected by Foil Camber

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