A comparative study for water temperature modelling in a small basin, the Fourchue River, Quebec, Canada

Kwak, Jaewon; St‐Hilaire, André; Chebana, Fateh

doi:10.1080/02626667.2016.1174334

Cited by 9 publications

(10 citation statements)

References 72 publications

(56 reference statements)

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“…It has shown good results in Canada [47][48], especially, it has produced relatively good flow and water temperature simulations for the Fourchue River [40], which is the study area. The CEQUEAU model is a semi-distributed hydrologic model which takes into account the hydro-physiographic characteristics of the basin [49].…”

Section: Water Temperature Model: Cequeau Modelmentioning

confidence: 99%

“…In addition, weekly average discharge rate from Morin dam were estimated from observed records and used as the discharge data from the dam, and the CEQUEAU model parameters were adjusted to consider systematic negative bias due to Morin dam [40]. The simulated results are shown in Figure 8.…”

Section: Future Water Temperature Simulationmentioning

confidence: 99%

“…The CEQUEAU model was employed to simulate flows and water temperatures with future projected meteorological data. The Fourchue River has been previously studied by [39,40]. Beaupré [39] compared a deterministic [41] and a geostatistical [42] model.…”

Section: Introductionmentioning

confidence: 99%

“…Beaupré [39] compared a deterministic [41] and a geostatistical [42] model. Kwak et al [40] compared a deterministic [43] and two stochastic models [44,45] to estimate water temperatures in the river. For this follow-up study of [40], hydro-climatic data from 2011 to 2014 and future projected meteorological scenarios were obtained and used to simulate for future water temperature.…”

Section: Introductionmentioning

confidence: 99%

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Summer Season Water Temperature Modeling under the Climate Change: Case Study for Fourchue River, Quebec, Canada

Kwak¹,

St‐Hilaire

Chebana

et al. 2017

Water

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Abstract:It is accepted that human-induced climate change is unavoidable and it will have effects on physical, chemical, and biological properties of aquatic habitats. This will be especially important for cold water fishes such as trout. The objective of this study is to simulate water temperature for future periods under the climate change situations. Future water temperature in the Fourchue River (St-Alexandre-de-Kamouraska, QC, Canada) were simulated by the CEQUEAU hydrological and water temperature model, using meteorological inputs from the Coupled Model Intercomparison Project Phase 5 (CMIP5) Global Circulation Models (GCMs) with Representative Concentration Pathway (RCP) 2.6, 4.5 and 8.5 climate change scenarios. The result of the study indicated that water temperature in June will increase 0.2-0.7 • C and that in September, median water temperature could decrease by 0.2-1.1 • C. The rise in summer water temperature may be favorable to brook trout (Salvelinus fontinalis) growth, but several days over the Upper Incipient Lethal Temperature (UILT) are also likely to occur. Therefore, flow regulation procedures, including cold water releases from the Morin dam may have to be considered for the Fourchue River.

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Section: Water Temperature Model: Cequeau Modelmentioning

confidence: 99%

Section: Future Water Temperature Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Summer Season Water Temperature Modeling under the Climate Change: Case Study for Fourchue River, Quebec, Canada

Kwak¹,

St‐Hilaire

Chebana

et al. 2017

Water

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“…On the other hand, parametric models can be stochastic or regression‐based. Times series models are among the former and include second‐order Markov process (Cluis ; Caissie et al ; Caissie et al ), periodic autoregressive model (Benyahya, St‐Hilaire et al ) and nonlinear autoregressive process with exogenous variable (Kwak et al ). In the regression models, the stream temperature is modeled as a function of one or multiple predictors.…”

Section: Introductionmentioning

confidence: 99%

Stream Temperature Modeling Using Functional Regression Models

Boudreault

Bergeron

St‐Hilaire

et al. 2019

J American Water Resour Assoc

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Stream temperature is one of the most important environmental variables in lotic habitats as it has important and direct impacts on the ecosystem. Given the continuous nature of this variable, the aim of this paper was to introduce functional regression for the air‐stream temperature relation, being capable to model an entire seasonal or annual curve of temperatures as one entity, rather than multiple daily or weekly values in classical models. Three types of functional models were explored in the study and compared to two classical models (Generalized Additive Model and Logistic Model) for six rivers from the United States The results show the functional models have the best performance for all the considered rivers. When comparing functional models between them, one variant of the historical functional model performs better than the two other models and is the most parsimonious. Functional regression leads to encouraging results to model the complete annual stream temperature curve as one entity compared to other classical approaches.

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Combining Landsat TIR‐imagery data and ERA5 reanalysis information with different calibration strategies to improve simulations of streamflow and river temperature in the Canadian Subarctic

Rincón,

St‐hilaire,

Bergeron

et al. 2023

Hydrological Processes

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Arctic and Subarctic environments are among the most vulnerable regions to climate change. Increases in liquid precipitation and changes in snowmelt onset are cited as the main drivers of change in streamflow and water temperature patterns in some of the largest rivers of the Canadian Arctic. However, in spite of this evidence, there is still a lack of research on water temperature, particularly in the eastern Canadian Arctic. In this paper, we use the CEQUEAU hydrological‐water temperature model to derive consistent long‐term daily flow and stream temperature time series in Aux Mélèzes River, a non‐regulated basin (41 297 km2) in the eastern Canadian subarctic. The model was forced using reanalysis data from the fifth‐generation ECMWF atmospheric reanalyses (ERA5) from 1979 to 2020. We used water temperature derived from thermal infrared (TIR) images as reference data to calibrate CEQUEAU's water temperature model, with calibration performed using single‐site, multi‐site, and upscaling factors approaches. Our results indicate that the CEQUEAU model can simulate streamflow patterns in the river and shows excellent spatiotemporal performance with Kling‐Gupta Efficiency (KGE) metric >0.8. Using the best‐performing flow simulation as one of the inputs allowed us to produce synthetic daily water temperature time series throughout the basin, with the multi‐site calibration approach being the most accurate with root mean square errors (RMSE) <2.0°C. The validation of the water temperature simulations with a three‐year in situ data logger dataset yielded an RMSE = 1.38°C for the summer temperatures, highlighting the robustness of the calibrated parameters and the chosen calibration strategy. This research demonstrates the reliability of TIR imagery and ERA5 as sources of model calibration data in data‐sparse environments and underlines the CEQUEAU model as an assessment tool, opening the door to its use to assess climate change impact on the arctic regions of Canada.

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A comparative study for water temperature modelling in a small basin, the Fourchue River, Quebec, Canada

Cited by 9 publications

References 72 publications

Summer Season Water Temperature Modeling under the Climate Change: Case Study for Fourchue River, Quebec, Canada

Summer Season Water Temperature Modeling under the Climate Change: Case Study for Fourchue River, Quebec, Canada

Stream Temperature Modeling Using Functional Regression Models

Combining Landsat TIR‐imagery data and ERA5 reanalysis information with different calibration strategies to improve simulations of streamflow and river temperature in the Canadian Subarctic

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