Modelling aquatic vegetation and dissolved oxygen after a flood event in the Bow River, Alberta, Canada

2009 ◽  
Vol 36 (3) ◽  
pp. 492-503 ◽  
Author(s):  
K. L. Robinson ◽  
C. Valeo ◽  
M. C. Ryan ◽  
A. Chu ◽  
M. Iwanyshyn

Traditionally, macrophyte density has been considered the primary factor affecting the large dissolved oxygen fluctuations in the Bow River. After a major flood event scoured macrophytes in 2005, and subsequently changed river dynamics, the City of Calgary needed to update their predictive computer model for water quality to reflect the new conditions, which led to this study. A 2006 aquatic vegetation survey was also completed to assess post-flood conditions. The survey found that the average macrophyte dry weight was much lower (28 g/m2 ± 100 (p = 0.05)) than the historic average of 241 g/m2 ± 29, while the average periphyton chlorophyll-a concentration was higher (343 mg/m2 ± 71) than the historic average (158 mg/m2 ± 17)). Dissolved oxygen (DO) fluctuations were similar to pre-flood levels despite changes in the dominant vegetation. Using the results of this survey, the significant and previously unrecognized effects of periphyton diurnal processes on DO concentrations in the Bow River were identified and the Bow River water quality model (BRWQM) was recalibrated to reflect these findings. Adjustments were made to the BRWQM’s periphyton submodel to account for the more dominant role played by these organisms in river processes, and a competitive shading factor between macrophytes and periphyton was also introduced to more accurately model the species' competition for available sunlight. This newly calibrated and validated version of BRWQM was tested and found capable of predicting the occurrence of low DO concentrations in the Bow River and can provide a useful tool for forecasting the water quality effects of the city's planned wastewater infrastructure expansion.

Water ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 1980
Author(s):  
Bushra Tasnim ◽  
Jalil A. Jamily ◽  
Xing Fang ◽  
Yangen Zhou ◽  
Joel S. Hayworth

In shallow lakes, water quality is mostly affected by weather conditions and some ecological processes which vary throughout the day. To understand and model diurnal-nocturnal variations, a deterministic, one-dimensional hourly lake water quality model MINLAKE2018 was modified from daily MINLAKE2012, and applied to five shallow lakes in Minnesota to simulate water temperature and dissolved oxygen (DO) over multiple years. A maximum diurnal water temperature variation of 11.40 °C and DO variation of 5.63 mg/L were simulated. The root-mean-square errors (RMSEs) of simulated hourly surface temperatures in five lakes range from 1.19 to 1.95 °C when compared with hourly data over 4–8 years. The RMSEs of temperature and DO simulations from MINLAKE2018 decreased by 17.3% and 18.2%, respectively, and Nash-Sutcliffe efficiency increased by 10.3% and 66.7%, respectively; indicating the hourly model performs better in comparison to daily MINLAKE2012. The hourly model uses variable hourly wind speeds to determine the turbulent diffusion coefficient in the epilimnion and produces more hours of temperature and DO stratification including stratification that lasted several hours on some of the days. The hourly model includes direct solar radiation heating to the bottom sediment that decreases magnitude of heat flux from or to the sediment.


2005 ◽  
Vol 2005 (8) ◽  
pp. 7030-7056
Author(s):  
J.P. Bechtold ◽  
Yin Deong ◽  
Mark Digel ◽  
Mike Wang ◽  
Barry Kobryn

2020 ◽  
Vol 34 (1) ◽  
Author(s):  
Ana Carina Matos Silva ◽  
Manoel Jerônimo Moreira Cruz ◽  
Isabel Honorata Souza de Azevedo ◽  
Alexandre Dacorso Daltro Milazzo

This study aims to characterize, in terms of physicochemical, bacteriological and metal concentration parameters, the water quality of public fountains in the city of Salvador (Bahia, Brazil), in order to identify its potential for current uses, contributing to the diagnosis of water quality on the public access. Therefore, campaigns were conducted in July and November of 2017 and 2018 in four fountains (Fonte Nova, Estica, Pedrinhas/Pedreiras and Express way), which were geo-referenced and analyzed physical-chemical parameters (pH, conductivity, temperature, dissolved oxygen, turbidity and total dissolved solids, salinity, sulfate, nitrate, chloride and alkalinity), bacteriological (thermotolerant coliforms) and metals (Cd, Pb, Ni, Co, Cr, Cu, Zn, Fe, Mn). The fountains showed values in disagreement with the CONAMA Ordinances 396/2008, 357/2005, and 274/2000 mainly about the pH, Dissolved Oxygen, Nitrate and Thermotolerant Coliforms parameters, indicating inadequacy for their intended uses. This information should support decision making and mitigation measures that minimize the environmental degradation of urban fountains in the city of Salvador (BA), from the adoption of recovery, revitalization and monitoring measures that enable the effective management of these water resources.


2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Karl-Erich Lindenschmidt ◽  
Meghan K. Carr ◽  
Amir Sadeghian ◽  
Luis Morales-Marin

AbstractDams are typically designed to serve as flood protection, provide water for irrigation, human and animal consumption, and harness hydropower. Despite these benefits, dam operations can have adverse effects on in-reservoir and downstream water temperature regimes, biogeochemical cycling and aquatic ecosystems. We present a water quality dataset of water withdrawal scenarios generated after implementing the 2D hydrodynamic and water quality model, CE-QUAL-W2. The scenarios explore how six water extraction scenarios, starting at 5 m above the reservoir bottom at the dam and increasing upward at 10 m intervals to 55 m, influence water quality in Lake Diefenbaker reservoir, Saskatchewan, Canada. The model simulates daily water temperature, dissolved oxygen, total phosphorus, phosphate as phosphorus, labile phosphorus, total nitrogen, nitrate as nitrogen, labile nitrogen, and ammonium at 87 horizontal segments and at 60 water depths during the 2011–2013 period. This dataset intends to facilitate a broader investigation of in-reservoir nutrient dynamics under dam operations, and to extend the understanding of reservoir nutrient dynamics globally.


<em>Abstract</em>.—A CE-QUAL-W2 water quality model was used to characterize the availability of striped bass <em>Morone saxatilis</em> habitat in Lake Greenwood, South Carolina, during 2004 and 2005. Although the lake has a productive fishery, water quality and aquatic habitat are affected by nutrient loading, algal blooms, and extensive oxygen depletion in the bottom waters. The main objectives were to characterize habitat availability and predict the implications of a change in phosphorus loading from the Saluda and Reedy rivers. The baseline scenario of the model showed that habitat was most critical during July and August, when as little of 5% of the reservoir contained tolerable habitat (temperature <28°C and dissolved oxygen >2 mg/L). Favorable habitat (temperature <25°C and dissolved oxygen >2 mg/L) was usually absent for most of July and August. Pulses of higher inflow or freshets produced short-term increases in tolerable habitat, especially in the upper end of the reservoir. Phosphorus-loading scenarios predicted that large reductions (50% or more) would be required to improve habitat substantially during midsummer. For the manager of a striped bass fishery, water quality models can be useful tools for evaluating habitat, especially under marginal conditions, and for predicting the impact of altered water management practices.


1979 ◽  
Vol 6 (2) ◽  
pp. 197-207 ◽  
Author(s):  
E. McBean ◽  
G. Farquhar ◽  
N. Kouwen ◽  
O. Dubek

A two-stage mathematical model is developed for predicting dissolved oxygen levels in ice-covered rivers. The first stage of the model is a prediction model for ice-edge progression as a function of time, and the second stage consists of an extrapolation of a widely used 'summer condition' water-quality model. The results of a series of experiments, both field and laboratory-based, which served as data input generators and calibration testing of the model, are provided.Briefcase-study applications of elements of the model to the Speed River and to the Saint John River are included.


1990 ◽  
Vol 68 (4) ◽  
pp. 852-856
Author(s):  
Hélène Gilbert

Above- and below-ground annual productivity of vascular plants in the freshwater tidal marsh of the City of Québec (St. Lawrence River) was estimated to be 280 g dry weight/m2. This low productivity is explained in part by the very large surface of bare ground (23%), by the relative importance (39%) of the surface dominated by much less productive aquatic vegetation, and by the presence of embankments on the formerly most productive parts of the marsh. The most productive plant associations were those dominated by Scirpus americanus Pers. (606 g dry weight∙m−2∙a−1), Zizania aquatica L. var. brevis (702), Sagittaria rigida Pursh (598) and Sagittaria latifolia Willd. (834). Species productivities (in g dry weight∙m−2∙a−1) were 436 (Sc. americanus), 196 (Z. aquatica), 86 (Sa. rigida), and 685 (Sa. latifolia). An analysis of the biomass allocation (seasonal pattern) is presented for five species.


2015 ◽  
Vol 42 (11) ◽  
pp. 901-909 ◽  
Author(s):  
Jianhua Jiang ◽  
Jerry Vandenberg ◽  
Ian Halket ◽  
Kasey Clipperton ◽  
Richard J. Kavanagh ◽  
...  

Surface mining in the oil sands region of Alberta, Canada, often requires that mining operators drain lakes or divert streams to access the underlying ore. “Compensation lakes” can be constructed to create new fish habitat to offset the loss of fish habitat due to mining activity and to satisfy conditions under a project’s Fisheries Act Authorization. The design of these lakes requires prediction of future water temperature and dissolved oxygen levels to determine the suitability of the new habitat for fish. These predictions are made using a calibrated hydrodynamic and water quality model. Until recently, there were not any built compensation lakes in the region with enough measured water quality data that could be used to calibrate such a model. This paper uses measured data from Horizon Lake, a recently built compensation lake, to calibrate Generalized Environmental Modeling System of Surfacewaters (GEMSS), a three-dimensional hydrodynamic and water quality model, used to model the lake. Horizon Lake was built in 2008 by Canadian Natural Resources Ltd. and water quality in the lake has been monitored for the last seven years. The results of the model calibration to observed water temperature and dissolved oxygen provide rates and coefficients, notably sediment oxygen demand, that can be used to improve model applications to other planned compensation lakes.


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