Analyzing multi-scale hydrodynamic processes in karst with a coupled conceptual modeling and signal decomposition approach

Duran, Léa; Masséi, Nicolas; Lecoq, N.; Fournier, Matthieu; Labat, David

doi:10.1016/j.jhydrol.2020.124625

Cited by 40 publications

(21 citation statements)

References 65 publications

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“…Regarding the research of spring water recharge, there are two methods which are capable of being adopted into frequency analysis. One is to establish the conceptual reservoir model and use Fourier spectra analysis to study the relationship between the spectral changes of natural tracers and different discharges within the model [33]. This method requires high requirements for For each tracer test, we dissolved all ammonium molybdate in water before putting it in, and started monitoring after the reagent was put in for eight hours.…”

Section: Frequency Decomposition Methodsmentioning

confidence: 99%

Water Recharge of Jinan Karst Springs, Shandong, China

Zhu¹,

Xing

Meng

et al. 2020

Water

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As the main scavenge port of groundwater in the karst water system, most of the karst springs affected by human activities experienced discharge attenuation phenomenon in the north of China. Whilst artificial replenishment measures have been taken to keep water spewing, the results are not ideal in many karst springs. This is mainly because of poor understanding about the recharging water sources. This paper used the Jinan Spring region as an example to discuss about different spring water supply sources. Based on a wide range of methods (e.g., dynamic observation of spring water level, real-time monitoring of water temperature and electrical conductivity (EC), tracer test, and frequency analysis), this study obtained several findings. First, the maximum karst-fractured water proportion that Cambrian Zhangxia Formation contribute to the Zhenzhu Spring is 57–59%, and the Heihu Spring only recharges 25–31%. Second, the proportion of fracture-karst water to the Heihu Spring from the Fengshan Formation to the Sanshanzi Formation of the Ordovician is 69–75%, while the proportion of the Tanxi spring is 15–17%. Third, the Baotu Spring and Heihu Spring mainly receive karst-fractured water from the Cambrian Zhangxia Formation and fracture-karst water from the Cambrian Fengshan Formation to the Ordovician Sanshanzi Formation. The supply sources of the Zhenzhu Spring and Tanxi Spring are more diverse, including karst-fractured water of the Cambrian Zhangxia Formation and fracture-karst water of the Cambrian Fengshan Formation to the Ordovician Sanshanzi Formation, as well as a small amount of pore water and fissure water, artificial recharge water supply. Fourth, the frequency analysis of spring water temperature indicated that the Zhenzhu Spring and Tanxi Spring are mainly in deep circulation, while the Baotu Spring and Heihu Spring are predominantly in shallow circulation. The differences in the sources of the four largest spring groups suggest that the karst water movement in Jinan has heterogeneous characteristics. The determination of the mixing ratio of the sources of spring water supplies provides a scientific basis for the protection of spring water, and the implementation of artificial recharge projects.

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Section: Frequency Decomposition Methodsmentioning

confidence: 99%

Water Recharge of Jinan Karst Springs, Shandong, China

Zhu¹,

Xing

Meng

et al. 2020

Water

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“…The change of slopes is assumed to coincide with a change in the discharge dynamics (e.g., low, intermediate, and high) (Duran et al, 2020), whereas the numeric value of β may be linked to different karst aquifer dynamics.…”

Section: Methodsmentioning

confidence: 99%

“…Autocorrelation of time‐amplitude or time‐frequency signals may identify distinct memory effects related to different flow components (fast through to slow) (Jemcov & Petrič, 2010; Mangin, 1984; Padilla & Pulido‐Bosch, 1995). Further, based on the premise that signals within a time series can be differentiated by different frequencies (Holko et al, 2013), frequency analysis has shown that individual frequency components of a power spectrum of spring hydrographs and/or chemographs may provide useful information concerning the intrinsic structure of karst aquifers (Duran, 2015; Duran et al, 2020; Fournillon, 2012; Massei et al, 2007; Mathevet et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Quantifying and Numerically Representing Recharge and Flow Components in a Karstified Carbonate Aquifer

Schuler

Duran

Johnston

et al. 2020

Water Resources Research

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Karstified carbonate aquifers are highly heterogeneous systems characterized by multiple recharge, flow, and discharge components. The quantification of the relative contribution of these components, as well as their numerical representation, remains a challenge. This paper identifies three recharge components in the time and frequency domain. While the analysis in the time domain follows traditional approaches, the analysis of the power spectrum allows frequencies associated with specific spectral coefficients and noise types to be distinguished more objectively. The analysis follows the presented hypothesis that the different frequency-noise components are the result of aquifer heterogeneity transforming the random rainfall input into a sequence of non-Gaussian signals. The distinct signals are then numerically represented in the context of a semidistributed pipe network model in order to simulate recharge, flow, and discharge of an Irish karst catchment more realistically. By linking the power spectra of the modeled recharge components with the spectra of the spring discharge, the information usually gained by classical performance indicators is significantly widened. The modeled spring discharge is well matched in the time and frequency domain, yet the different recharge dynamics explain the signal of the aquifer outlet in different noise domains across the spectrum. This study demonstrates the conjunctive use of frequency analysis in conceptualization of a hydrological system together with modeling and evaluation.

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“…While the analysis in the time domain follows traditional approaches, the analysis of the power spectrum allows frequencies associated with specific spectral coefficients and noise types to be distinguished more objectively. The analysis is based on the hypothesis that the different frequency-noise components are the result of aquifer heterogeneity transforming the random rainfall input into a sequence of non-Gaussian signals (Labat et al 2000b ; Massei et al 2006 ; Duran et al 2020 ). The distinct signals were then numerically represented in the context of semidistributed pipe network models ( InfoWorks ) to simulate the recharge, flow and discharge of these two karst systems more realistically, as shown in Fig.…”

Section: Semidistributed Pipe Network Models (Development In Ireland)mentioning

confidence: 99%

An evaluation of semidistributed-pipe-network and distributed-finite-difference models to simulate karst systems

et al. 2020

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Several different approaches have been developed to model the specific characteristics of karst aquifers, taking account of their inherent complex spatial and temporal heterogeneities. This paper sets out the development of a semidistributed modelling approach for applications in an Irish karst context using urban drainage software. The models have proven to be very useful for different studies, with examples given for the ecohydrology of ephemeral karst lakes, extreme groundwater-flood alleviation, karst network investigation, submarine groundwater discharge, and quantification of different recharge and flow components. The limitations of the approach are also highlighted, in particular not being able to simulate diffuse infiltration and flow paths explicitly across the groundwater catchment. Hence, a more distributed, finite-difference modelling approach using MODFLOW Unstructured Grid (USG) with the newly developed Connected Linear Network (CLN) process is then compared against the semidistributed approach on the same karst catchment. Whilst it has proven difficult to achieve the same levels of model performance in simulating the spring flows in the distributed model compared to the semidistributed model, the ability to interrogate the flow paths at any point on the three-dimensional aquifer is demonstrated, which can give new insights into flows (and potential contaminant transport) through such complex systems. The influence of the proximity of highly transmissive conduits on the flow dynamics through the much-lower transmissive matrix cells in which the network is embedded has been particularly investigated.

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Analyzing multi-scale hydrodynamic processes in karst with a coupled conceptual modeling and signal decomposition approach

Cited by 40 publications

References 65 publications

Water Recharge of Jinan Karst Springs, Shandong, China

Water Recharge of Jinan Karst Springs, Shandong, China

Quantifying and Numerically Representing Recharge and Flow Components in a Karstified Carbonate Aquifer

An evaluation of semidistributed-pipe-network and distributed-finite-difference models to simulate karst systems

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