Effects of geomorphology and groundwater level on the spatio-temporal variability of riverine cold water patches assessed using thermal infrared (TIR) remote sensing

Wawrzyniak, Vincent; Piégay, Hervé; Allemand, Pascal; Vaudor, Lise; Goma, Régis; Grandjean, Philippe

doi:10.1016/j.rse.2015.12.050

Cited by 43 publications

(73 citation statements)

References 67 publications

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“…Other potential uses include assessment of thermal effluent from power plants (required under the U.S. Clean Water Act and the EU Water Framework Direct; Miara, Pienkos, Bazilian, Davis, & Macknick, ) and dams. Alongside human impacts, there is also recent interest in TIR for mapping potential cool water refuges used by freshwater species to avoid heat stress (e.g., Frechette, Dugdale, Dodson, & Bergeron, ; George, Baldigo, Smith, McKeown, & Faulring, ; Wawrzyniak et al, ); identifying these refuges is crucial in light of projected climate change. sUAS‐based TIR would be advantageous in smaller or remote river systems where “conventional” airborne TIR is too costly and traditional in‐stream measurements risk missing local spatial variation.…”

Section: Discussionmentioning

confidence: 99%

“…Preliminary analyses of data collected during the Baddoch Burn surveys indicated a substantially higher magnitude of drift than that reported by other studies employing noncooled cameras (e.g., Dugdale et al, 2013;Rautio et al, 2015;Wawrzyniak et al, 2016). To identify the potential drivers of this drift in our TIR imagery (and hence, inform potential avoidance strategies), we extracted metrics describing the sUAS flight characteristics and environmental conditions during each survey that could potentially influence this measurement error (see Table S1).…”

Section: Onondaga Creek Nymentioning

confidence: 99%

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Assessing the potential of drone‐based thermal infrared imagery for quantifying river temperature heterogeneity

Dugdale

Kelleher

Malcolm

et al. 2019

Hydrological Processes

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Climate change is altering river temperature regimes, modifying the dynamics of temperature‐sensitive fishes. The ability to map river temperature is therefore important for understanding the impacts of future warming. Thermal infrared (TIR) remote sensing has proven effective for river temperature mapping, but TIR surveys of rivers remain expensive. Recent drone‐based TIR systems present a potential solution to this problem. However, information regarding the utility of these miniaturised systems for surveying rivers is limited. Here, we present the results of several drone‐based TIR surveys conducted with a view to understanding their suitability for characterising river temperature heterogeneity. We find that drone‐based TIR data are able to clearly reveal the location and extent of discrete thermal inputs to rivers, but thermal imagery suffers from temperature drift‐induced bias, which prevents the extraction of accurate temperature data. Statistical analysis of the causes of this drift reveals that drone flight characteristics and environmental conditions at the time of acquisition explain ~66% of the variance in TIR sensor drift. These results shed important light on the factors influencing drone‐based TIR data quality and suggest that further technological development is required to enable the extraction of robust river temperature data. Nonetheless, this technology represents a promising approach for augmenting in situ sensor capabilities and improved quantification of advective inputs to rivers at intermediate spatial scales between point measurements and “conventional” airborne or satellite remote sensing.

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Section: Discussionmentioning

confidence: 99%

Section: Onondaga Creek Nymentioning

confidence: 99%

Assessing the potential of drone‐based thermal infrared imagery for quantifying river temperature heterogeneity

Dugdale

Kelleher

Malcolm

et al. 2019

Hydrological Processes

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“…Many authors and especially Dugdale et al () and Wawrzyniak et al () observed the confluence effect on the thermal patterns, as shown by the effect of channel water mixing with cold water from a small lateral tributary located at 300 m in the old channel (Figure a). The very low flow in this lateral channel, as well as its small size, explains the low temperatures resulting from increased contact time with cold air and lower thermal inertia in this small volume of water.…”

Section: Discussionmentioning

confidence: 92%

“…These coarse sediments exhibit a rather high‐hydraulic conductivity, compared to finer sediments (Burkholder et al, ; Evans & Petts, ; Namour et al, ; Sear, Armitage, & Dawson, ; Sear, Newson, & Thorne, ). This explains why the hyporheic fluxes are particularly large in this kind of geomorphological unit (Bencala, ; Cardenas et al, ; Evans, Greenwood, & Petts, ; Hannah et al, ; Mouw, Tappenbeck, & Stanford, ; Nielsen, Lisle, & Ozaki, ; Wawrzyniak et al, ).…”

Section: Discussionmentioning

confidence: 99%

Thermal‐infrared remote sensing of surface water–groundwater exchanges in a restored anastomosing channel (Upper Rhine River, France)

Eschbach

Piasny

Schmitt

et al. 2017

Hydrological Processes

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Ecohydrological processes are a key element to consider in functional river restorations. In the framework of a LIFE+ European restoration program, we have investigated the potential for airborne thermal‐infrared remote sensing to map surface water–groundwater exchanges and to identify their driving factors. We focused our attention on anastomosing channels on an artificial island of the Upper Rhine River (Rohrschollen), where a new channel was excavated from the floodplain to reconnect an older channel in its upstream part. These hydraulic engineering works led to an increased inflow from the Rhine Canal. Here, we propose an original data treatment chain to (a) georeference the thermal‐infrared images in geographic information system based on visible images, (b) detect and correct data errors, and (c) identify and locate thermal anomalies attributed to groundwater inputs and hyporheic upwellings. Our results, which have been compared to morpho‐sedimentary data, show that groundwater upwelling in the new channel is controlled by riffle–pool sequences and bars. This channel is characterized by large bedload transport and morphodynamic activity, forming riffles and bars. In the old channel, where riffle–pool sequences no longer exist, due to impacts of engineering works and insufficient morphodynamic effects of the restoration, thermal anomalies appeared to be less pronounced. Groundwater inputs seem to be controlled by former gravel bars outcropping on the banks, as well as by local thinning of the low‐permeability clogging layer on the channel bed.

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“…local landforms and vegetation) as much as it is by macro-geographic climatic factors like air temperature and precipitation (Johnson, 2004; Hannah, Moore, Brown, & Nobilis, 2008). Water generally warms as it flows downstream and receives heat from the sun, but factors such as tributary plumes, influx of groundwater, and canopy shading can create locally cooler habitats (Burkholder, Grant, Haggerty, Khangaonkar, & Wampler, 2008;Wawrzyniak et al, 2016;Webb et al, 2008). the frequency, timing, magnitude, and duration of streamflow), and thermal conditions are in turn driven by heat exchange between water and the surrounding environment (Fullerton et al, 2015;Webb et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Variation in thermal niche of a declining river‐breeding frog: From counter‐gradient responses to population distribution patterns

Catenazzi

Kupferberg

2017

Freshwater Biology

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When dams or climate change alter the thermal regimes of rivers, conditions can shift outside optimal ranges for aquatic poikilothermic vertebrates. Plasticity in thermal performance and preference, however, may allow temperature‐vulnerable fauna to persist under challenging conditions. To determine the effects of thermal regime on Rana boylii (Ranidae), a threatened frog species endemic to rivers of California and Oregon, we quantified tadpole thermal preferences and performance in relation to thermal conditions. We monitored temperature and censused populations across a coastal to inland cline in six catchments where dams have altered thermal environments in close proximity to river reaches with natural conditions. We found geographic variation in population distribution and abundance based on river size combined with water temperature. The large inland rivers that supported breeding frogs, although cooler in spring due to snowmelt, became warmer during the summer than occupied coastal sites. Inland populations were constrained to reaches where the average temperature over the warmest 30 days ranged from 17.6 to 24.2°C, higher than coastal rainfall‐driven systems where averages ranged from 15.7 to 22.0°C. Frogs in rivers with hypolimnetic‐release dams bred in colder waters than they did in free‐flowing rivers. Common‐garden and field translocation experiments revealed local adaptations in larval growth and phenotypically plastic thermoregulatory behaviour. Tadpoles from all rivers had a positive linear growth response to temperature, but individuals from inland rivers displayed intrinsically higher growth rates. Consistent with a counter‐gradient model of selection in which the response to temperature change is in the opposite direction of the change, individuals from cooler rivers selected warmer temperatures. When reared under common conditions, however, tadpoles showed similar temperature preferences regardless of source river. Our results suggest a role for local growth rate adaptation in structuring the distribution of Rana boylii. Plastic thermoregulatory behaviour by tadpoles may explain how small populations are able to persist where dams release cold water. Management of edgewater habitats to increase the availability of warm micro‐sites may ameliorate this impact.

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Effects of geomorphology and groundwater level on the spatio-temporal variability of riverine cold water patches assessed using thermal infrared (TIR) remote sensing

Cited by 43 publications

References 67 publications

Assessing the potential of drone‐based thermal infrared imagery for quantifying river temperature heterogeneity

Assessing the potential of drone‐based thermal infrared imagery for quantifying river temperature heterogeneity

Thermal‐infrared remote sensing of surface water–groundwater exchanges in a restored anastomosing channel (Upper Rhine River, France)

Variation in thermal niche of a declining river‐breeding frog: From counter‐gradient responses to population distribution patterns

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