Differentiated spring behavior under changing hydrological conditions in an alpine karst aquifer

Filippini, María; Squarzoni, Gabriela; Waele, Jo De; Fiorucci, Adriano; Vigna, Bartolomeo; Grillo, Barbara; Riva, A.; Rossetti, Stefano; Zini, Luca; Casagrande, Giacomo; Stumpp, Christine; Gargini, Alessandro

doi:10.1016/j.jhydrol.2017.11.040

Cited by 55 publications

(31 citation statements)

References 30 publications

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“…The complex hydrogeological process in a karst aquifer could attribute to the distinctive characteristics of neighboring springs, in return, the different behaviors of neighboring springs could also reflect the complexity of the karst aquifer system. Filippini et al (2018) [43] found three nearby karst springs had different chemical characteristics at low-flow condition in Cansiglio-Monte Cavallo, Italy, due to a different recharge area. Mudarra and Andreo (2011) [44] found three neighboring springs responded to precipitation differently in Cadena carbonate aquifer in Southern Spain due to different recharge processes.…”

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confidence: 99%

A Complicated Karst Spring System: Identified by Karst Springs Using Water Level, Hydrogeochemical, and Isotopic Data in Jinan, China

Guo

Qin

et al. 2019

Water

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The Jinan karst spring system, discharged by 108 springs in 2.6 km2 city center area of Jinan, China, has been suffering lower regional groundwater levels, which threatens the karst springs outflowing and aquatic ecological civilization. For better spring protection, monthly hydrogeochemical and isotopic investigations were conducted in four representative karst springs (Baotu Spring (BTQ), Heihu Spring (HHQ), Zhenzhu (ZZQ), and Wulongtan Springs (WLT)) in 2016. Results showed that the BTQ, WLT, and ZZQ had similar hydrogeochemical and isotopic behaviors, which were different with that of HHQ. By combining the daily water level data with monthly hydrogeochemical and isotopic data of BTQ and HHQ, the hydrogeological processes of the two neighboring karst springs (470 m apart) are distinguished. (a) BTQ is recharged by two sources of precipitation and river water, while HHQ is recharged mainly by precipitation. (b) Hydrogeochemical characteristics of Baotu Spring are mainly controlled by calcite, dolomite, and gypsum dissolution mixture with river water and agricultural activity, while the hydrogeochemical characteristics of Heihu Spring are mainly controlled by calcite, dolomite, and gypsum dissolution in dry season, and dilution in wet season. (c) The discharge component of both springs is storage water by diffuse flow which is pressured by new infiltration rain water. The ratio of rain water is 14% in Baotu Spring and 9% in Heihu Spring calculated by a binary mixture model. Overall, this study puts forward the standpoint that neighboring karst springs with the same geological condition, can show different hydrogeological characteristics, which is a useful evidence for understanding the heterogeneity/complexity of karst aquifers.

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confidence: 99%

A Complicated Karst Spring System: Identified by Karst Springs Using Water Level, Hydrogeochemical, and Isotopic Data in Jinan, China

Guo

Qin

et al. 2019

Water

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“…29.4 mm of rain fell on January 24, 2018, 18.2 mm on January 25, 2018, no rain fell January 26-28, 2018 and 19 mm fell on January 29, 2018. Chemical analyses followed the methods of Baublys et al (2015) and Filippini et al (2018) and were conducted at the School of Earth and Environmental Sciences at the University of Queensland. Major anions were measured by ion chromatography (IC) using a Dionx ICS 1100 instrument.…”

Section: Water Chemistrymentioning

confidence: 99%

“…However, although such an effect is common in monitored karst springs (e.g. Goldscheider et al, 2008;Filippini et al, 2018), it is unlikely that small pulses of rainfall feeding an aquifer could result in such clear secondary peaks. (2) The peaks are due to recirculation of the dye through the ECS-Dulverton Pit-YR-ECS circuit as a result of quarry pumping.…”

Section: Seasonal Flow Variationmentioning

confidence: 99%

“…10). This type of karst system is best described as a 'dominant conduit model' (Vigna and Banzato, 2015;Filippini et al, 2018) in which (1) surface -groundwater connectivity is high and surface water rapidly infiltrates the system; (2) water is efficiently transported through the system by a network of connected subsurface conduits; and (3) flow is towards the zone of lowest hydraulic pressure. Preferential drainage routes are along weaknesses in the rock structure such as faults or folds.…”

Section: Regional Karst Connectionsmentioning

confidence: 99%

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A reactivated cave system induces rapidly developing cover-collapse sinkholes in Tasmania, Australia

Burke¹,

Slee²,

McIntosh³

et al. 2020

JCKS

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“…Otherwise, this could be due to the coexistence of multiple flow dynamics [10,13]. A multiple peaked RTD could give evidence of multiple flow paths in the system [16][17][18]. Besides, the RTD shape may be directly linked to the spatial distribution of flow and transport.…”

Section: Introductionmentioning

confidence: 99%

Coupling SKS and SWMM to Solve the Inverse Problem Based on Artificial Tracer Tests in Karstic Aquifers

Sivelle

Renard

Labat

2020

Water

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Artificial tracer tests constitute one of the most powerful tools to investigate solute transport in conduit-dominated karstic aquifers. One can retrieve information about the internal structure of the aquifer directly by a careful analysis of the residence time distribution (RTD). Moreover, recent studies have shown the strong dependence of solute transport in karstic aquifers on boundary conditions. Information from artificial tracer tests leads us to propose a hypothesis about the internal structure of the aquifers and the effect of the boundary conditions (mainly high or low water level). So, a multi-tracer test calibration of a model appeared to be more consistent in identifying the effects of changes to the boundary conditions and to take into consideration their effects on solute transport. In this study, we proposed to run the inverse problem based on artificial tracer tests with a numerical procedure composed of the following three main steps: (1) conduit network geometries were simulated using a pseudo-genetic algorithm; (2) the hypothesis about boundary conditions was imposed in the simulated conduit networks; and (3) flow and solute transport were simulated. Then, using a trial-and-error procedure, the simulated RTDs were compared to the observed RTD on a large range of simulations, allowing identification of the conduit geometries and boundary conditions that better honor the field data. This constitutes a new approach to better constrain inverse problems using a multi-tracer test calibration including transient flow.

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Differentiated spring behavior under changing hydrological conditions in an alpine karst aquifer

Cited by 55 publications

References 30 publications

A Complicated Karst Spring System: Identified by Karst Springs Using Water Level, Hydrogeochemical, and Isotopic Data in Jinan, China

A Complicated Karst Spring System: Identified by Karst Springs Using Water Level, Hydrogeochemical, and Isotopic Data in Jinan, China

A reactivated cave system induces rapidly developing cover-collapse sinkholes in Tasmania, Australia

Coupling SKS and SWMM to Solve the Inverse Problem Based on Artificial Tracer Tests in Karstic Aquifers

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