Modeling the hydrological impact of land use change in a dolomite-dominated karst system

Bittner, Daniel; Narany, Tahoora Sheikhy; Köhl, Bernhard; Disse, Markus; Chiogna, Gabriele

doi:10.1016/j.jhydrol.2018.10.017

Cited by 39 publications

(61 citation statements)

References 37 publications

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“…So, providing efficient models to predict evolutions of water resources constitutes a major challenge for hydrological sciences [18,64]. Otherwise, those models may include, where appropriate, special features about the impacts of change in land use [29,65]. Calibration of the KarstMod model over long periods (i.e., several years) may provide robust long-term flow behavior modeling (i.e., validation over several decades).…”

Section: Long-term Variability Of Internal Dynamicsmentioning

confidence: 99%

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Dynamics of the Flow Exchanges between Matrix and Conduits in Karstified Watersheds at Multiple Temporal Scales

Sivelle

Labat

Mazzilli

et al. 2019

Water

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The focus of this paper is to investigate the ability to assess the flow exchanges between the matrix and the conduits in two karstified watersheds (Aliou and Baget, Ariège, France) using the KarstMod modeling platform. The modeling is applied using hourly and daily time series. First, the flow dynamics between the conduit and the surrounding matrix are described on a rainfall event scale (i.e., a few days). The model allows us to describe a physical reality concerning the flow reversal between matrix and conduit when there is a significant rainfall event. Then, the long-term trends (i.e., inter-annual) in the matrix water level are evidenced using the moving average over shifting horizon method (MASH). The mean water level in the matrix dropped about 10% to 15% since the late 1960s. Also, the matrix recharge has been delayed from February in the late 1960s to April since the 1990s. Moreover, the contribution of the matrix in the total spring flow is estimated though mass balance. It is estimated that the annual matrix contribution in the total spring flow is about 3% and it can increase to up to 25% during periods with low rainfall.

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Section: Long-term Variability Of Internal Dynamicsmentioning

confidence: 99%

“…This has been improved with a threshold-based transfer function, pumping discharge and hysteretic behavior [26] and implemented in the KarstMod model [27,28]. Otherwise, lumped modeling may include the impact of the change in land uses [29].…”

Section: Introductionmentioning

confidence: 99%

Dynamics of the Flow Exchanges between Matrix and Conduits in Karstified Watersheds at Multiple Temporal Scales

Sivelle

Labat

Mazzilli

et al. 2019

Water

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“…In addition, tracer‐based quantification of the GW inflow has, so far, focussed on river systems with little anthropogenic influence and predominantly in rivers embedded in geologically porous media. This is due to the complexity of karstic aquifers (Bittner, Narany, Kohl, Disse, & Chiogna, 2018) that leads to hardly comparable subsurface water flow, transport and storage mechanisms in comparison to porous aquifers (Dvory et al, 2018; Hartmann & Baker, 2017). Previous field‐based studies have focused on the interaction between karstic rock aquifers and rivers by applying hydraulic head measurements (Bailly‐Comte, Jourde, & Pistre, 2009) or artificial tracers (Barberá & Andreo, 2017).…”

Section: Introductionmentioning

confidence: 99%

Comparison of environmental tracers including organic micropollutants as groundwater exfiltration indicators into a small river of a karstic catchment

Glaser

Schwientek

Junginger

et al. 2020

Hydrological Processes

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Understanding groundwater–surface water (GW–SW) interactions is vital for water management in karstic catchments due to its impact on water quality. The objective of this study was to evaluate and compare the applicability of seven environmental tracers to quantify and localize groundwater exfiltration into a small, human‐impacted karstic river system. Tracers were selected based on their emission source to the surface water either as (a) dissolved, predominantly geogenic compounds (radon‐222, sulphate and electrical conductivity) or (b) anthropogenic compounds (predominantly) originating from wastewater treatment plant (WWTP) effluents (carbamazepine, tramadol, sodium, chloride). Two contrasting sampling approaches were compared (a) assuming steady‐state flow conditions and (b) considering the travel time of the water parcels (Lagrangian sampling) through the catchment to account for diurnal changes in inflow from the WWTP. Spatial variability of the concentrations of all tracers indicated sections of preferential groundwater inflow. Lagrangian sampling techniques seem highly relevant for capturing dynamic concentration patterns of WWTP‐derived compounds. Quantification of GW inflow with the finite element model FINIFLUX, based on observed in‐stream Rn activities led to plausible fluxes along the investigated river reaches (0.265 m3 s−1), while observations of other natural or anthropogenic environmental tracers produced less plausible water fluxes. Important point sources of groundwater exfiltration can be ascribed to locations where the river crosses geological fault lines. This indicates that commonly applied concepts describing groundwater–surface water interactions assuming diffuse flow in porous media are difficult to transfer to karstic river systems whereas concepts from fractured aquifers may be more applicable. In general, this study helps selecting the best suited hydrological tracer for GW exfiltration and leads to a better understanding of processes controlling groundwater inflow into karstic river systems.

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“…Semi-distributed karst models combine the advantages of lumped models, in particular parsimony, with an assessment of the spatial distribution of principal aquifer properties and principal forcing variables. Two principal sources of heterogeneity can be considered in semi-distributed karst models: i) surface / sub-surface heterogeneity that controls aquifer recharge (Andreo et al, 2008;Hughes et al, 2008;Bailly-Comte et al, 2012;Malard et al, 2016;Bittner et al, 2018a;Pardo-Igúzquiza et al, 2018b) and ii) the underground karst network that controls flow paths (Ladouche et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Karst recharge-discharge semi distributed model to assess spatial variability of flows

Ollivier

Mazzilli

Olioso

et al. 2020

Science of The Total Environment

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HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Modeling the hydrological impact of land use change in a dolomite-dominated karst system

Cited by 39 publications

References 37 publications

Dynamics of the Flow Exchanges between Matrix and Conduits in Karstified Watersheds at Multiple Temporal Scales

Dynamics of the Flow Exchanges between Matrix and Conduits in Karstified Watersheds at Multiple Temporal Scales

Comparison of environmental tracers including organic micropollutants as groundwater exfiltration indicators into a small river of a karstic catchment

Karst recharge-discharge semi distributed model to assess spatial variability of flows

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