Sensitivity analysis of a deterministic water temperature model to forest canopy and soil temperature in Catamaran Brook (New Brunswick, Canada)

St‐Hilaire, André; El‐Jabi, Nassir; Caissie, Daniel; Morin, Guy

doi:10.1002/hyp.1242

Cited by 22 publications

(14 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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%

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

Kwak¹,

St‐Hilaire

Chebana

et al. 2017

Water

View full text Add to dashboard Cite

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.

show abstract

Section: Water Temperature Model: Cequeau Modelmentioning

confidence: 99%

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

Kwak¹,

St‐Hilaire

Chebana

et al. 2017

Water

View full text Add to dashboard Cite

show abstract

“…CEQUEAU also includes a water temperature model and a water quality model that can both be used for instance in the context of environmental impact assessment studies (e.g., St-Hilaire et al 2003;Morin et al 1988). …”

Section: Cequeaumentioning

confidence: 99%

Illustration of the added value of using a multi-site calibration and correction approach to reconstruct natural inflows and inter-catchment transfer flow: a case study

2015

View full text Add to dashboard Cite

This case study investigates the benefits of spatializing the calibration of the CEQUEAU hydrological model for two catchments located in the province of Quebec, Canada. The hydrological model is also used to correct the discharge curves of a spillway at the entrance of an artificial channel used to transfer water from one catchment to another. No real stream flow measurements are available for the catchments under study, and natural inflows are reconstituted through a water balance equation, which includes the water transferred from one catchment to the other. Although the application is specific to the Lake-St-Jean region in Quebec, Canada, this study could serve other users and water managers with similar issues regarding parameters and inflow uncertainty. The current calibration of the CEQUEAU hydrological model is based exclusively on stream flows recorded at the outlet of the downstream sub-catchments of each catchment. There exist, however, intermediate stream flow measurements at the outlet of the upstream sub-catchment for each catchment. It is demonstrated that using both stream flow records (upstream and downstream sub-catchments) to calibrate the hydrological model parameters leads to improved simulations. The recalculation of the discharge curves for the Bonnard channel through hydrological modelling also reveals that it is inexact for large stream flows and a simple but efficient correction method is proposed. Altogether, this case study shows that a careful revision of the modelling practices for those catchments can lead to more accurate estimation of inflows to reservoirs, which could reduce predictive uncertainty for future inflows.Résumé : La présente étude de cas s'intéresse aux avantages qu'offre la spatialisation de la calibration du modèle hydrologique CEQUEAU dans le cas de deux bassins versants situés au Québec. Le modèle hydrologique est aussi utilisé pour corriger les courbes de débit d'un déversoir installé à l'entrée d'un canal artificiel utilisé pour transférer l'eau d'un bassin versant à l'autre. On ne dispose d'aucune mesure du débit réel de cours d'eau dans les bassins versants étudiés et les débits naturels entrants sont évalués à l'aide d'une équation du bilan hydrique, laquelle tient compte de l'eau transférée d'un bassin à un autre. Bien qu'elle ne s'applique qu'à la région du Saguenay Lac-Saint-Jean, située au Québec (Canada), cette étude pourrait être utile à d'autres usagers et gestionnaires des ressources en eau confrontés aux mêmes incertitudes quant à certains paramètres et au débit entrant. Le modèle hydrologique CEQUEAU est actuellement calibré seulement en fonction de débits de cours d'eau relevés au débouché du bassin élémentaire situé en aval de chaque bassin versant. Cependant, il existe à cet endroit des mesures intermé-diaires du débit d'eau au débouché du bassin élémentaire situé en amont de chaque bassin versant. On démontre que l'utilisation de mesures des débits de cours d'eau effectuées dans les bassins élémentaires situés en amont et en aval des bassins ver...

show abstract

“…This criterion is often used in water temperature modelling studies (e.g. Caissie et al, 1998Caissie et al, , 2001St-Hilaire et al, 2003;Ahmadi-Nedushan et al, 2007). The Bias error was computed simply as the sum of the differences between predicted and observed values divided by n 2 :…”

Section: Model Evaluation and Validationmentioning

confidence: 99%

“…physiographic, hydrological and meteorological parameters). Examples of deterministic models include the US Fish and Wildlife SNTEMP model (Bartholow, 1989), the SSTEMP model (Bartholow, 1999) and the CEQUEAU hydrological and water temperature model (Morin & Couillard, 1990;St-Hilaire et al, 2003). Other references of simpler deterministic water temperature models include those of Gu et al (1998) and Caissie et al (2005), who used an equilibrium temperature concept.…”

Section: Introductionmentioning

confidence: 99%

Comparison of non-parametric and parametric water temperature models on the Nivelle River, France

Benyahya

St‐Hilaire

Ouarda

et al. 2008

Hydrological Sciences Journal

View full text Add to dashboard Cite

Water temperature is an important abiotic variable in aquatic habitat studies and may be one of the factors limiting the potential fish habitat (e.g. salmonids) in a stream. Stream water temperatures are modelled using statistical approaches with air temperature and streamflow as exogenous variables in the Nivelle River, southern France. Two different models are used to model mean weekly maximum temperature data: a non-parametric approach, the k-nearest neighbours method (k-NN) and a parametric approach, the periodic autoregressive model with exogenous variables (PARX). The k-NN is a data-driven method, which consists of finding, at each point of interest, a small number of neighbours nearest to this value, and the prediction is estimated based on these neighbours. The PARX model is an extension of commonly-used autoregressive models in which parameters are estimated for each period within the years. Different variants of air temperature and flow are used in the model development. In order to test the performance of these models, a jack-knife technique is used, whereby model goodness of fit is assessed separately for each year. The results indicate that both models give good performances, but the PARX model should be preferred, because of its good estimation of the individual weekly temperatures and its ability to explicitly predict water temperature using exogenous variables.Key words stream water temperature; non-parametric vs parametric models; PARX, k-nearest neighbours Comparaison de modèles paramétriques et non-paramétriques de température de l'eau de la Rivière Nivelle, France Résumé La température de l'eau est une variable très importante pour les études d'habitat aquatique. Elle peut être un facteur limitant pour plusieurs espèces de poisson, telles que les salmonidés. Cet article présente une modélisation statistique de la température de l'eau en utilisant la température de l'air et le débit comme variables explicatives. Les données utilisées dans la modélisation numérique sont les températures hebdomadaires de la rivière Nivelle (France). Deux modèles de température de l'eau sont alors proposés et comparés, soit la méthode non-paramétrique des k plus proches voisins (VPP) et le modèle périodique autorégressif avec variables exogènes (PARX). La méthode des VPP consiste à chercher dans tout l'historique, les k plus proches voisins qui serviront à estimer la température actuelle. Le modèle PARX est un modèle autorégressif dont les paramètres de chaque variable explicative sont estimés indépendamment pour chaque période de l'année. Plusieurs attributs de température de l'eau et du débit sont considérés. La performance des modèles a été évaluée pour chaque année en utilisant une technique de validation croisée de type "jack-knife". Les résultats préliminaires ont montré que le modèle PARX et le modèle VPP présentent une performance similaire dans la simulation des températures hebdomadaires. Toutefois, le modèle PARX demeure le plus approprié, car il préserve la persistance des séries périodiques ...

show abstract

Sensitivity analysis of a deterministic water temperature model to forest canopy and soil temperature in Catamaran Brook (New Brunswick, Canada)

Cited by 22 publications

References 37 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

Illustration of the added value of using a multi-site calibration and correction approach to reconstruct natural inflows and inter-catchment transfer flow: a case study

Comparison of non-parametric and parametric water temperature models on the Nivelle River, France

Contact Info

Product

Resources

About