Hydrodynamic modeling of Edmonton storm-water ponds

Nakhaei, Nader; Boegman, Leon; Mehdizadeh, Mahyar; Loewen, Mark

doi:10.1007/s10652-018-9625-5

Cited by 15 publications

(6 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The average RMSE of 1.45°C over a range of 0–26°C (5%) indicates that the model satisfactorily simulated the thermal structure of Eagle Lake. For instance, in Cayuga Lake using the MITgcm with 22 m horizontal resolution Dorostkar et al (2017) had RMSE = 1.9°C and in Edmonton stormwater ponds using ELCOM with 2 m horizontal resolution, Nakhaei et al (2018) had RMSE = 1.2–4.6°C. Moreover, the model accurately estimated the thermal structure within a shallow embayment (Sta.…”

Section: Discussionmentioning

confidence: 99%

“…AEM3D output was also used to compute the effective heat flux, which includes net radiation and sensible and latent heat fluxes (Jonas et al 2003; Pernica 2014; Nakhaei et al 2018). The thermal expansion coefficient is a function of water temperature, approaching zero at the temperature of maximum density ( T md ; Supporting Information Fig.…”

Section: Methodsmentioning

confidence: 99%

“…The three‐dimensionality allows for investigation of the spatial and temporal variation in these complex processes. In this study, we apply the three‐dimensional Estuary and Lake Computer Model (ELCOM) has been successfully applied to large and small lakes for hydrodynamic‐thermodynamic studies, for example: Lake Erie (Leon et al 2011; Oveisy et al 2014), Lake Simcoe (Bouffard and Boegman 2011), Lake Constance (Caramatti et al 2019), Lake Minnetonka (Missaghi et al 2017), and Edmonton stormwater ponds (Nakhaei et al 2018); including simulation of ice cover on a small temperate lake (Oveisy et al 2012).…”

mentioning

confidence: 99%

See 2 more Smart Citations

Turnover in a small Canadian shield lake

Ghane

Boegman

2021

Limnology & Oceanography

Self Cite

View full text Add to dashboard Cite

In dimictic lakes, the stable density stratification during summer and winter inhibits vertical mixing of nutrients and oxygen. This favors the development of hypolimnetic hypoxia, which degrades cool‐water fish habitat and enhances nutrient mineralization from the sediments. Fall and spring turnover events, therefore, provide a crucial biannual link between surface and bottom waters. However, the physical processes occurring to mix lakes during turnover events remain comparatively uninvestigated. In this study, long‐term field observations were supplemented with output from a three‐dimensional numerical model, to better understand turnover events within a small temperate lake during 2011–2017. Mid‐basin penetrative convection, sidearm convection, and wind‐induced mixing were identified, with mid‐basin convection likely contributing the most to turnover events; a typical side‐arm convective plume had 2% (spring) to 4% (fall) of the mass flux compared to those at mid‐basin. During fall turnover, wind shear only mixed the upper 35% of the surface mixed layer, with convection acting to deepen below. During spring turnover, ice‐cover sheltered the lake from wind, causing convection to be the only process occurring and lengthening the turnover duration (~ 51 d) compared to fall (~ 13 d).

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Turnover in a small Canadian shield lake

Ghane

Boegman

2021

Limnology & Oceanography

Self Cite

View full text Add to dashboard Cite

show abstract

“…The simulated thermocline depth is overestimated (Fig. 9, 10), as occurred in applications of ELCOM with both higher (Nakhaei et al, 2019) and lower resolution (Paturi et al, 2012). COASTLINES has the potential to predictively (Bouffard and Lemmin, 2013;Valipour et al, 2019) and nearshore-offshore exchange (Valipour et al, 2019); however model performance is poor in nearshore areas, where topographic features remain poorly resolved (; their figure 3.14).…”

Section: Bias and Uncertaintymentioning

confidence: 98%

An automatic lake-model application using near real-time data forcing: Development of an operational forecast model for Lake Erie

Lin

Boegman

Shan

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Abstract. For enhanced public safety and water resource management, a three-dimensional operational lake hydrodynamic forecast system called COASTLINES (Canadian cOASTal and Lake forecastINg modEl System) was developed. The modelling system is built upon the Aquatic Ecosystem Model (AEM3D) model, with predictive simulation capabilities developed and tested for a large lake (i.e., Lake Erie). The open-access web-based platform derives model forcing, code execution, post-processing and visualization of the model outputs, including water level elevations and temperature, is in near real-time. COASTLINES currently generates 240-h predictions using atmospheric forcing from 15 km and 25 km horizontal-resolution operational meteorological products from the Environment Canada Global Deterministic Forecast System (GDPS). Simulated water levels were validated against observations from 6 gauge stations, with model error increasing for longer forecast times. Satellite images and lake buoys were applied to validate forecast lake surface temperature (LST) and the water column thermal stratification. The forecast LST is as accurate as hindcasts, with a root-mean-square-deviation < 2 ℃. COASTLINES predicts storm-surge events and up-/down-welling events that are important for flood water and drinking water/fishery management, respectively. Model forecasts are available in real-time at https://coastlines.engineering.queensu.ca/. This study provides an example of the successful development of an operational forecasting system, entirely driven by open-access data, that may be easily adapted to simulate aquatic systems or to drive other computational models, as required for management and public safety.

show abstract

“…The model required atmospheric stability correction and adjustments to albedo and light extinction coefficients to provide accurate predictions. To improve the model accuracy, future work on vegetated flow models was necessary due to the current models' inability to adequately represent densely vegetated areas (Nakhaei, Boegman, Mehdizadeh, & Loewen, 2019). The use of a hydrologic model to simulate runoff (HIDRO‐FLU) and a hydrodynamic model to simulate basin operation (MODCEL) was used in a case study of a pond in Mesquita, Brazil, to determine the effectiveness and appropriateness of a CSP.…”

Section: Constructed Stormwater Pondsmentioning

confidence: 99%

Urban stormwater characterization, control, and treatment

Rodak

Jayakaran

Moore

et al. 2020

Water Environment Research

View full text Add to dashboard Cite

This review summarizes over 280 studies published in 2019 related to the characterization, control, and management of urban stormwater runoff. A summary of quantity and quality concerns is provided in the first section of the review, serving as the foundation for the following sections which focus on the control and treatment of stormwater runoff. Finally, the impact of stormwater control devices at the watershed scale is discussed. Each section provides a self-contained overview of the 2019 literature, common themes, and future work. Several themes emerged from the 2019 literature including exploration of substrate amendments for improved water quality effluent from stormwater controls, the continued study of the role of vegetation in green infrastructure practices, and a call to action for the development of new models which generate reliable, computationally efficient results under the physical, chemical, biological, and social complexity of stormwater management. © 2020 Water Environment Federation • Practitioner points • Over 280 studies were published in 2019 related to the characterization, control, and treatment of urban stormwater. • Studies on bioretention and general stormwater characteristics represented the two most common subtopics in 2019. • Trends in 2019 included novel substrate amendments, studies on the role of vegetation, and advancements in computational models.

show abstract

Hydrodynamic modeling of Edmonton storm-water ponds

Cited by 15 publications

References 42 publications

Turnover in a small Canadian shield lake

Turnover in a small Canadian shield lake

An automatic lake-model application using near real-time data forcing: Development of an operational forecast model for Lake Erie

Urban stormwater characterization, control, and treatment

Contact Info

Product

Resources

About