Three-dimensional biogeochemical modeling of eutrophication in Edmonton stormwater ponds

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

doi:10.1016/j.ecolmodel.2021.109684

Cited by 10 publications

(5 citation statements)

References 63 publications

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“…This was considerably less than RMSE of 5 and 3 mg L −1 using a 1D model (CSLM) applied to the same lake by Jabbari et al (2016, 2018). Our DO RMSE were also in the same range as other studies applying ELCOM‐CAEDYM (an earlier version of AEM3D): 0.5 mg L −1 in Lake Erie (Bocaniov et al 2016) and 2.7 mg L −1 in Edmonton storm‐water ponds (Nakhaei et al 2021 b ). The R 2 of 0.80 and 0.97 at 3 m and 30 m indicate successful reproduction of seasonal changes in DO.…”

Section: Discussionsupporting

confidence: 80%

“…In particular, the maximum DO sediment flux and wind drag coefficient ( S DO = 0.41 g m −2 d −1 and C D = 10 −3 ) were adjusted to reproduce the changes in the watercolumn DO. The parameters controlling phytoplankton processes (Supplementary Tables S2, S5) were also adjusted according to ranges found in the literature (e.g., Liu et al 2014; Nakhaei et al 2021 b ).…”

Section: Methodsmentioning

confidence: 99%

“…Unlike one‐dimensional models, three‐dimensional models directly simulate, as opposed to parameterizing, complex sub basin‐scale processes such as the formation of cold oxygen‐rich plumes resulting from penetrative and sidearm convection (Fer et al 2002; Ghane and Boegman 2021). The three‐dimensional Estuary and Lake Computer Model (ELCOM) coupled to the Computational Aquatic Ecosystem Dynamics Model (CAEDYM) has been successfully applied to a range of lakes from large (~ 100 s of km) to small (~ 10 s of m) for coupled hydrodynamic‐biogeochemical studies, for example, Lake Erie (Leon et al 2011; Oveisy et al 2014; Bocaniov et al 2016), Lake Simcoe (Schwalb et al 2015), Lake Minnetonka (Missaghi et al 2017), and Edmonton stormwater ponds (Nakhaei et al 2021 b ). A recent parallel version of the code, the Aquatic Ecosystem Model (AEM3D) has allowed for computationally efficient multi‐year simulation of lake hydrodynamics (e.g., Lake Constance, Caramatti et al 2019; Eagle Lake, Ghane and Boegman 2021; Lake Erie, Lin et al 2021 a ).…”

mentioning

confidence: 99%

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The dissolved oxygen budget of a small Canadian Shield lake during winter

Ghane

Boegman

2022

Limnology & Oceanography

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Deep-water hypoxia is an environmental concern in temperate lakes. Seasonal turnover events provide a mechanism for deep-water oxygenation; however, the lake oxygen budget and mixing dynamics during turnovers are poorly understood. In the present study, the oxygen cycle in a small dimictic lake was investigated from long-term field measurements supplemented with output from a three-dimensional numerical model. Photosynthetic production and atmospheric exchange were modeled to predominate during spring and fall turnovers, respectively, contributing 92% (surprisingly) and 8% of the net dissolved oxygen (DO) input to the lake. Of the DO production, 41% occurred under-ice, with a potential to supply 17% AE 11% of the hypolimnetic DO saturation deficit at spring turnover. The corresponding DO sinks were sediment oxygen demand (À 54%), mineralization (À 33%), and nitrification (À 13%). The watercolumn circulation and stratification during pre-winter and spring turnover controlled the inter-annual variability in hypoxia during the following summer. Warm winters ($ 4 C watercolumn leading to rapid summer stratification) and severely cold winters (strong winter stratification with shallow convective mixing in spring) were followed by incomplete spring turnover, whereas, following cold winters (moderate winter stratification and extended convection) turnover was complete. This underscores the connection between winter hydrodynamics and summer water quality in dimictic lakes.

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Section: Discussionsupporting

confidence: 80%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

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The dissolved oxygen budget of a small Canadian Shield lake during winter

Ghane

Boegman

2022

Limnology & Oceanography

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“…NRMSE discloses the magnitude of the errors normalized by the average value through division. We regarded as a good fit a Cox–Snell pseudo- R 2 of >0.5 and a NRMSE of <1, following Scherer et al and nutrient model research. , …”

Section: Methodsmentioning

confidence: 99%

Effects of Nitrogen Emissions on Fish Species Richness across the World’s Freshwater Ecoregions

Zhou

Mogollón

Bodegom

et al. 2023

Environ. Sci. Technol.

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The increasing application of synthetic fertilizer has tripled nitrogen (N) inputs over the 20th century. N enrichment decreases water quality and threatens aquatic species such as fish through eutrophication and toxicity. However, the impacts of N on freshwater ecosystems are typically neglected in life cycle assessment (LCA). Due to the variety of environmental conditions and species compositions, the response of species to N emissions differs among ecoregions, requiring a regionalized effect assessment. Our study tackled this issue by establishing regionalized species sensitivity distributions (SSDs) of freshwater fish against N concentrations for 367 ecoregions and 48 combinations of realms and major habitat types globally. Subsequently, effect factors (EFs) were derived for LCA to assess the effects of N on fish species richness at a 0.5 degree × 0.5 degree resolution. Results show good SSD fits for all of the ecoregions that contain sufficient data and similar patterns for average and marginal EFs. The SSDs highlight strong effects on species richness due to high N concentrations in the tropical zone and the vulnerability of cold regions. Our study revealed the regional differences in sensitivities of freshwater ecosystems against N content in great spatial detail and can be used to assess more precisely and comprehensively nutrient-induced impacts in LCA.

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“…Further, Scavia et al (2014) estimated that approximately 60% of lake-wide total phosphorus and 68% of whole-lake soluble phosphorous loads (2003 to 2011) discharged from surrounding tributaries, particularly from the Maumee River runoff, were major contributors to HABs. Moreover, warming has shown detrimental effects, which may trigger HABs and worsen water quality, including strengthening stratification (Bolkhari et al, 2022;Clare Nelligan et al, 2019;Stainsby et al, 2011), which exacerbates diurnal (Loewen et al, 2007) and seasonal hypoxia (Bouffard et al, 2013;Nakhaei et al, 2021) and leads to increased internal nutrient loads (Scavia et al, 2014;Zhang et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Causal discovery of hydroclimatic drivers influencing water quality in a large lake

Shukla,

Boegman,

Kumar

2024

Preprint

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Harmful algal blooms (HABs) are a threat to ecosystem services, with adverse economic and public health impacts. Large-scale climate processes will influence local environmental conditions, potentially favoring HAB formation through complex, nonlinear interactions. This study employs explainable (i.e., SHAP) machine learning to give insight on the predictions and causal analysis (i.e., PCMCI) to identify the relationships between climate indices, physical drivers, and the resultant Chlorophyll-a (CHL) concentrations in western Lake Erie. Our causal analysis revealed that runoff and water temperature directly affect CHL but also act to mediate the impacts of the Arctic Oscillation on influencing CHL. Moreover, our explainable analysis further confirmed this by identifying runoff as the main driving factor, followed by water temperature. The study highlights that water quality in the basin is subject to confounding effects resulting from interactions between global atmospheric circulation patterns and local hydro-meteorological factors, expanding HAB forecasting beyond synoptic scale meteorology.

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Three-dimensional biogeochemical modeling of eutrophication in Edmonton stormwater ponds

Cited by 10 publications

References 63 publications

The dissolved oxygen budget of a small Canadian Shield lake during winter

The dissolved oxygen budget of a small Canadian Shield lake during winter

Effects of Nitrogen Emissions on Fish Species Richness across the World’s Freshwater Ecoregions

Causal discovery of hydroclimatic drivers influencing water quality in a large lake

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