Coupling LiDAR and thermal imagery to model the effects of riparian vegetation shade and groundwater inputs on summer river temperature

Abstract : In the context of global warming, it is important to understand the drivers controlling river temperature in order to mitigate temperature increases. A modeling approach can be useful for quantifying the respective importance of the different drivers, notably groundwater inputs and riparian shading which are potentially critical for reducing summer temperature. In this study, we use a one-dimensional deterministic model to predict summer water temperature at an hourly time step over a 21 km reach of the lower Ain River (France). This sinuous gravel-bed river undergoes summer temperature increase with potential impacts on salmonid populations. The model considers heat fluxes at the water-air interface, attenuation of solar radiation by riparian forest, groundwater inputs and hydraulic characteristics of the river. Modeling is performed over two periods of five days during the summers 2010 and 2011. River properties are obtained from hydraulic modeling based on cross-section profiles and water level surveys. We model shadows of the vegetation on the river surface using LiDAR data. Groundwater inputs are determined using airborne thermal infrared (TIR) images and hydrological data. Results indicate that vegetation and groundwater inputs can mitigate high water temperatures during summer. Riparian shading effect is fairly similar between the two periods (− 0.26 ± 0.12 °C and − 0.31 ± 0.18 °C). Groundwater input cooling is variable between the two studied periods: when groundwater discharge represents 16% of the river discharge, it cools the river down by 0.68 ± 0.13 °C while the effect is very low (0.11 ± 0.01 °C) when the groundwater discharge contributes only 2% to the discharge. The effect of shading varies through the day: low in the morning and high during the afternoon and the evening whereas those induced by groundwater inputs is more constant through the day. Overall, the effect of riparian vegetation and groundwater inputs represents about 10% in 2010 and 24% in 2011 of water temperature diurnal amplitudes.
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Article dans une revue
Science of the Total Environment, Elsevier, 2017, 592, pp.616 - 626
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https://hal.archives-ouvertes.fr/hal-01618595
Contributeur : Pierre-Hugo Lecomte <>
Soumis le : mercredi 18 octobre 2017 - 11:07:57
Dernière modification le : mercredi 21 novembre 2018 - 10:22:14

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  • HAL Id : hal-01618595, version 1

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Vincent Wawrzyniak, Pascal Allemand, Bailly Sarah, Jérôme Lejot, Hervé Piégay. Coupling LiDAR and thermal imagery to model the effects of riparian vegetation shade and groundwater inputs on summer river temperature. Science of the Total Environment, Elsevier, 2017, 592, pp.616 - 626. 〈hal-01618595〉

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