Predicting water temperatures using a deterministic model: Application on Miramichi River catchments (New Brunswick, Canada)

Caissie, Daniel; Satish, Mysore G.; El‐Jabi, Nassir

doi:10.1016/j.jhydrol.2007.01.008

Cited by 154 publications

(155 citation statements)

References 37 publications

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“…Studies of atmospheric forcing effects on stream temperature primarily focus on equilibrium temperature (Mohseni and Stefan, 1999;Bogan et al, 2003;Caissie et al, 2005), with some studies solving directly the heat budget equation using a range of meteorological parameters to predict stream temperatures (Sinokrot and Stefan, 1993;Caissie et al, 2007). Stochastically-based empir-ical models in the literature analyze the cumulative effects of atmospheric forcing (Bogan et al, 2006) with most focusing on direct air-temperature/stream-temperature relationships (Caissie et al, 1998(Caissie et al, , 2001O'Driscoll and DeWalle, 2006).…”

Section: Introductionmentioning

confidence: 99%

Changes in stream temperatures in response to restoration of groundwater discharge and solar heating in a culverted, urban stream

Anderson

Thaxton

et al. 2010

Journal of Hydrology

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Changes in stream temperatures in response to restoration of groundwater discharge and solar heating in a culverted, urban stream A B S T R A C TBoone Creek is a mountainous headwater stream that lies within an urbanized environment in north-western North Carolina. The primary source of thermal pollution in Boone Creek is the urban infrastruc-ture, which affects stream temperatures through (1) heated runoff, which creates temperature surges and (2) the elimination of groundwater-surface water interactions. In this study, we use a Monte Carlo ther-mal mixing model to predict the thermal impact of removing a 700-m-long culvert. Our thermal mixing model balances stream discharge and temperatures with surface-heat exchange parameters and restored baseflow. We calculate the daily-average groundwater discharge velocity at 15 locations in the stream using signal decay in streambed temperatures, and utilize a Monte Carlo implementation of the hetero-geneous baseflow field in the thermal mixing model. We also calculate surface-heat exchange per unit area for conditions upstream and downstream of the existing culvert and utilize those values in the ther-mal mixing model. Our modeled temperatures suggest a decrease in summer stream temperatures down-stream of the culvert that average 1.35 ° C and 1.17 ° C for upstream and downstream surface-heat exchange conditions, respectively. The results of our study have implications for the balance between baseflow and the urban infrastructure in any high-gradient urban stream that experiences similar ther-mal effects.

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Section: Introductionmentioning

confidence: 99%

Changes in stream temperatures in response to restoration of groundwater discharge and solar heating in a culverted, urban stream

Anderson

Thaxton

et al. 2010

Journal of Hydrology

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“…Additionally, wind plays a significant role by increasing evaporative cooling and in modifying the air-water exchanges by increasing mixing . The physical equations underpinning the role of wind can be found in Caissie et al (2007).…”

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confidence: 99%

Climate and basin drivers of seasonal river water temperature dynamics

Laizé¹,

Meredith

Dunbar

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. Stream water temperature is a key control of many river processes (e.g. ecology, biogeochemistry, hydraulics) and services (e.g. power plant cooling, recreational use). Consequently, the effect of climate change and variability on stream temperature is a major scientific and practical concern. This paper aims (1) to improve the understanding of large-scale spatial and temporal variability in climatewater temperature associations, and (2) to assess explicitly the influence of basin properties as modifiers of these relationships. A dataset was assembled including six distinct modelled climatic variables (air temperature, downward short-wave and long-wave radiation, wind speed, specific humidity, and precipitation) and observed stream temperatures for the period 1984-2007 at 35 sites located on 21 rivers within 16 basins (Great Britain geographical extent); the study focuses on broad spatio-temporal patterns, and hence was based on 3-month-averaged data (i.e. seasonal). A wide range of basin properties was derived. Five models were fitted (all seasons, winter, spring, summer, and autumn). Both site and national spatial scales were investigated at once by using multi-level modelling with linear multiple regressions. Model selection used multi-model inference, which provides more robust models, based on sets of good models, rather than a single best model. Broad climate-water temperature associations common to all sites were obtained from the analysis of the fixed coefficients, while site-specific responses, i.e. random coefficients, were assessed against basin properties with analysis of variance (ANOVA). All six climate predictors investigated play a role as a control of water temperature. Air temperature and short-wave radiation are important for all models/seasons, while the other predictors are important for some models/seasons only. The form and strength of the climate-stream temperature association vary depending on season and on water temperature. The dominating climate drivers and physical processes may change across seasons and across the stream temperature range. The role of basin permeability, size, and elevation as modifiers of the climatewater temperature associations was confirmed; permeability has the primary influence, followed by size and elevation. Smaller, upland, and/or impermeable basins are the most influenced by atmospheric heat exchanges, while larger, lowland and permeable basins are the least influenced. The study showed the importance of accounting properly for the spatial and temporal variability of climate-stream temperature associations and their modification by basin properties.

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“…Net shortwave radiation is the dominant energy input causing diurnal and seasonal water temperature variability. Longwave radiation flux (Benyaha et al, 2012) as well as the turbulent fluxes of evaporation and convection, which are controlled by air temperature, vapour pressure, wind speed and net radiation, play an important role (Caissie et al, 2007;Garner et al, 2014;Hannah et al, 2008;Johnson, 2004).…”

Section: Introductionmentioning

confidence: 99%

“…Including a discharge term in the regression model can improve the model's performance during heat wave and drought (low flow) conditions, when water temperatures are most sensitive to air temperature (van Vliet et al, 2011). Energy balance models resolving all energy fluxes affecting a river system are the best suited to predict stream temperature (Caissie et al, 2007) but demand the most input data. Only these models are able to simulate energy flux changes caused by increased or decreased river shade.…”

Section: Introductionmentioning

confidence: 99%

Can riparian vegetation shade mitigate the expected rise in stream temperatures due to climate change during heat waves in a human-impacted pre-alpine river?

Trimmel

Weihs

Leidinger

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. Global warming has already affected European rivers and their aquatic biota, and climate models predict an increase of temperature in central Europe over all seasons. We simulated the influence of expected changes in heat wave intensity during the 21st century on water temperatures of a heavily impacted pre-alpine Austrian river and analysed future mitigating effects of riparian vegetation shade on radiant and turbulent energy fluxes using the deterministic Heat Source model. Modelled stream water temperature increased less than 1.5 • C within the first half of the century. Until 2100, a more significant increase of around 3 • C in minimum, maximum and mean stream temperatures was predicted for a 20-year return period heat event. The result showed clearly that in a highly altered river system riparian vegetation was not able to fully mitigate the predicted temperature rise caused by climate change but would be able to reduce water temperature by 1 to 2 • C. The removal of riparian vegetation amplified stream temperature increases. Maximum stream temperatures could increase by more than 4 • C even in annual heat events. Such a dramatic water temperature shift of some degrees, especially in summer, would indicate a total shift of aquatic biodiversity. The results demonstrate that effective river restoration and mitigation require re-establishing riparian vegetation and emphasize the importance of land-water interfaces and their ecological functioning in aquatic environments.

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Predicting water temperatures using a deterministic model: Application on Miramichi River catchments (New Brunswick, Canada)

Cited by 154 publications

References 37 publications

Changes in stream temperatures in response to restoration of groundwater discharge and solar heating in a culverted, urban stream

Changes in stream temperatures in response to restoration of groundwater discharge and solar heating in a culverted, urban stream

Climate and basin drivers of seasonal river water temperature dynamics

Can riparian vegetation shade mitigate the expected rise in stream temperatures due to climate change during heat waves in a human-impacted pre-alpine river?

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