Temperature buffering by groundwater in ecologically valuable lowland streams under current and future climate conditions

Kaandorp, Vince; Doornenbal, Pieter; Kooi, H.; Broers, Hans Peter; Louw, P. G. B. de

doi:10.1016/j.hydroa.2019.100031

Cited by 38 publications

(43 citation statements)

References 80 publications

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“…Moreover, the sediment “buffering effect” may contribute to the problem of parameter identifiability in studies focused on summer periods. More precise measurements of this effect will prove beneficial to address this potential source of bias for example, the methods employed by Kaandrop, Doornenbal, Kooi, Broers, and de Louw (2019).…”

Section: Discussionmentioning

confidence: 99%

Reduced‐complexity model of stream temperature

Miller

Young

2021

River Research & Apps

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In this article, a process‐based model of time‐varying stream temperatures is developed. The integrated compartment‐based model balances a need to account for the major physical components of the heat balance at specific sites while maintaining computational efficiency. The ability of the model to simulate instantaneous temperatures is demonstrated at six study locations in the sub‐tropical, low‐gradient region of Southern Louisiana, USA. The model yielded Nash–Sutcliffe efficiency (NSE) scores of 0.9 and above and an average root mean squared error (RMSE) of 1.07°C for hourly water temperature over a six‐month period. The parameter sensitivity analysis demonstrates the variable significance of vaporization and bed sediment conduction across the different study locations. The results show that the sediment heat exchange may have a significant seasonal effect on the energy budgets of streams where flows are a large component of the heat balance in temperate climates. The model is well‐suited to serve as a simple physically based thermal impact assessment tool for streams and potentially many other types of waterbodies as well. The model also complements the widely used meteorological‐ and statistical‐based methodologies applied in the development of tributary and headwater temperature boundary conditions for large‐scale river temperature studies.

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Section: Discussionmentioning

confidence: 99%

Reduced‐complexity model of stream temperature

Miller

Young

2021

River Research & Apps

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“…Understanding the future trajectory and influence of Transport Control Points characterized by preferential discharge areas on nitrate fluxes in groundwater‐fed rivers under a warming climate is important (see e.g., Kaandorp et al, 2019; Orr et al, 2015) and will depend on a combination of landscape structure, groundwater flow path length, type (e.g., fracture or inter‐granular), and depth and residence time (Briggs & Hare, 2018; Tetzlaff et al, 2009). Over a timeframe of decades, future summer low flow conditions derived from preferential discharges from deep aquifers may manifest as areas of markedly lower temperature relative to the surrounding riverbed offering thermal refugia for fish (Geist et al, 2002; Kurylyk et al, 2014).…”

Section: Ecosystem Control Points In Groundwater‐fed Riversmentioning

confidence: 99%

Spatial and temporal dynamics of nitrogen exchange in an upwelling reach of a groundwater‐fed river and potential response to perturbations changing rainfall patterns under UK climate change scenarios

Heathwaite

Heppell

Binley

et al. 2021

Hydrological Processes

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We report the complex spatial and temporal dynamics of hyporheic exchange flows (HEFs) and nitrogen exchange in an upwelling reach of a 200 m groundwater-fed river.We show how research combining hydrological measurement, geophysics and isotopes, together with nutrient speciation techniques provides insight on nitrogen pathways and transformations that could not have been captured otherwise, including a zone of vertical preferential discharge of nitrate from deeper groundwater, and a zone of rapid denitrification linking the floodplain with the riverbed. Nitrate attenuation in

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“…Considering this potential for the latent heat flux to moderate daily maximum stream temperature, it is critical that it be accurately represented in stream temperature models, especially for evaluating thermal mitigation activities (Trimmel et al., 2018; Wondzell et al., 2019). The two most common approaches are mass transfer equations, dominantly in the form of Dalton‐style wind functions (e.g., Dugdale et al., 2018; Garner et al., 2014; King & Neilson, 2019; Leach & Moore, 2011; Webb & Zhang, 1997) and the Penman combination equation (PCE) (Kaandorp et al., 2019; Ouellet et al., 2014; Ouellet‐Proulx et al., 2019; Trimmel et al., 2018; Westhoff et al., 2007, 2010). The sensible heat flux is commonly calculated either by multiplying the latent heat flux by the Bowen ratio (e.g., Garner et al., 2014; Khamis et al., 2015; Leach & Moore, 2010; Webb & Zhang, 1997) or by using a bulk aerodynamic equation (e.g., Glose et al., 2017).…”

Section: Introductionmentioning

confidence: 99%

Predicting Latent and Sensible Heat Fluxes in Stream Temperature Models: Current Challenges and Potential Solutions

Moore

Leach

2021

Water Resources Research

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Stream temperature studies typically use either the Penman combination equation (PCE) or empirical wind functions to compute the latent heat flux, which can be an important control on daily maximum water temperature. The sensible heat flux is usually computed from the latent heat flux via the Bowen ratio or a bulk transfer model. Unfortunately, both the PCE and empirical wind functions involve challenges. The PCE is inappropriate for application to subdaily stream evaporation because, as implemented in many stream temperature studies, it does not account for energy associated with warming or cooling of the water column or bed heat fluxes. The PCE thus tends to overestimate evaporation under conditions typical of warm summer days during the diurnal warming phase, which is when evaporation is likely to be an important heat loss mechanism. Empirical wind functions involve substantial uncertainty given the broad range of coefficient values that have been reported in the literature and the lack of above‐stream meteorological data to use in their application. We provide suggestions for improving current practice and also identify research directions to support development of robust approaches to computing the latent and sensible heat fluxes.

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Temperature buffering by groundwater in ecologically valuable lowland streams under current and future climate conditions

Cited by 38 publications

References 80 publications

Reduced‐complexity model of stream temperature

Reduced‐complexity model of stream temperature

Spatial and temporal dynamics of nitrogen exchange in an upwelling reach of a groundwater‐fed river and potential response to perturbations changing rainfall patterns under UK climate change scenarios

Predicting Latent and Sensible Heat Fluxes in Stream Temperature Models: Current Challenges and Potential Solutions

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