Use of Chlorophyll-a Monitoring to Determine Karst–River Relationships: A Case Study in the Karstic Limestones of Ouche Valley, Burgundy (France)

Gaillard, Thierry; Jozja, Nevila; Morris, James T.; Brossard, Christophe

doi:10.1007/978-3-030-14015-1_8

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“…Yet, the effective implementation of the directive has been slow (Voulvoulis et al 2017), and with much of the surface waters still reported to be below the desired status "Good" (European Commission 2012; Deakin et al 2016). Methods applied to investigate SW-GW interaction in karst, may be considered as rather qualitative or semiquantitative as most of the approaches are "indicatorbased" by relating chemical parameters observed in spring discharge, such as chlorophyll-a fluorescence (Gaillard et al 2020), nitrate and phosphate (Charlier et al 2020), or stable isotopes ( 2 H, 18 O) (Binet et al 2017) to surface water infiltration. Other approaches may use water level or discharge time series of streams and their related springs applying, for example, inverse modeling of lateral river inflows or correlation and spectral analysis (Bailly-Comte et al 2008).…”

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confidence: 99%

Using Wavelet Coherence to Characterize Surface Water Infiltration into a Low‐Lying Karst Aquifer

et al. 2020

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Karstified carbonate aquifers may receive significant recharge contributions from losing streams, hence, the knowledge about surface water-groundwater (SW-GW) interactions is crucial with regard to water management (e.g., source protection zone delineation). The dynamics of SW-GW interactions may depend on factors such as the relative water levels between streams and aquifers, resulting in a temporal variation of exchange, which imposes complexity to the understanding of such dynamics. This study highlights the use of high-resolution time series and multiresolution analysis to help to gain insights into such complex dynamics. Wavelet coherence is applied on hourly time series of rainfall, stream, and spring discharges of a low-lying karstified spring catchment to yield a correlation in the time-frequency domain. This analysis provides comprehensive information on the overall impact of the river on the spring, which is supported by the cross-correlation function, as well as by more detailed information, including time-variant influences such as a threshold level of influence. Field observations of turbidity sampling at the spring appear to support this interpretation. This innovative approach relies on basic hydrological parameters, water level, or discharge, and is therefore applicable to many other systems with such existing time series. Article impact statement: Wavelet coherence yields highresolution information on surface water-groundwater interaction.

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