Describing the Karst Evolution by the Exploitation of Hydrologic Time-Series Data

Κατσάνου, K.; Lambrakis, N.; Tayfur, Gökmen; Baba, Alper

doi:10.1007/s11269-015-0987-x

Cited by 29 publications

(12 citation statements)

References 32 publications

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“…Different recession coefficients reflect flow regimes with different hydraulic conductivities [5]. Therefore, the recession coefficient is always used to identify the structural properties (matrix, fractures, and conduit networks) and the karstification degree of a karst aquifer [23,[52][53][54]68,69].…”

Section: Discussionmentioning

confidence: 99%

“…where i represents the media i in the aquifer, Q 0i represents the discharge of media i at t = 0, and n represents the number of sub-regimes or flow components. A karst aquifer can always be divided into different sub-regimes based on the different hydraulic conductivities of the media that comprise it [52][53][54]. Therefore, the modified Maillet equation can be written as:…”

Section: Recession Analysismentioning

confidence: 99%

“…The cutting point determines the interval within which the analysis is conducted. The correlogram reflects the "memory effect" of a system [26,50,57,58], i.e., the time needed for the system to "forget" its initial conditions, and corresponds to the lag time required for the ACF to reach 0.2 [54,55,59]. The CCF is used to examine the dependence of output series y (discharge) on the input series x (precipitation) and can be calculated using the following equation [27]: For k > 0,…”

Section: Time-series Analysismentioning

confidence: 99%

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Groundwater Circulation in Fractured and Karstic Aquifers of the Umbria-Marche Apennine

Tamburini

Menichetti

2020

Water

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The Umbria-Marche Apennine has a large number of springs that drain water stored in carbonate formations. Spring groundwater constitutes a crucial freshwater resource for many countries, regions, and cities around the world. This study aimed to understand the hydrological mechanisms behind groundwater circulation and their relationship to the structural and stratigraphic settings of specific aquifers. Recession analysis and time series analysis were applied to the daily discharge of six springs monitored over eight years. Both analyses indicated the presence of two types of aquifers: aquifer with unimodal behavior and aquifer with bimodal behavior. The first are characterized by two hydrodynamic sub-regimes, in which fracture networks control the baseflow and conduit networks control the quickflow. In contrast, other springs present only one hydrodynamic sub-regime related to fracture network drainage. Time series analysis confirms the results of recession analysis, showing a large memory effect and a large response time, implying the dominance of the baseflow sub-regime. These results indicate that the Maiolica Formation is characterized by a high degree of fracturation and slight karstification, which control infiltration and percolation, whereas the Calcare Massiccio Formation regulates groundwater circulation in the deeper zones of the aquifer, characterized by a high degree of karstification through moderately developed conduit networks.Water 2020, 12, 1039 2 of 21 linear baseflow recession. Kovács et al. [12] showed that the recession coefficient allows for obtaining important information about aquifer hydraulic parameters and conduit network characteristics. One main advantage of recession curve analysis is that a set of empirical, quantitative parameters attributed to drainage mechanisms can be calculated [15].Analysis of individual recession periods sometimes generates inconsistences related to the complexity of groundwater circulation and the processes acting on the system [16]. Therefore, a master recession curve (MRC) is commonly used for simultaneously analyzing a set of hydrograph recessions at a particular catchment [17][18][19][20][21][22].Malík and Vojtková [23] performed a recession curve analysis to evaluate the karstification degree and the hydrodynamic behavior of an aquifer. With given recession coefficients and initial discharge values, both runoff and partial runoff segments (sub-regimes) can be fully described. In karst hydrogeology, the term "sub-regime" refers to the changing conditions of a groundwater system, its characteristic behavior, or the controlling of natural processes, which usually occur in a regular pattern [24].Apart from recession analysis, univariate and bivariate analyses can also be performed on spring hydrographs. Valuable indirect information regarding karst systems can be obtained by performing a time series analysis [25]. Mangin [26] developed a specific methodology for studying the input-output relationships in karst aquifers, as well as for performing auto-correl...

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Section: Discussionmentioning

confidence: 99%

Section: Recession Analysismentioning

confidence: 99%

Section: Time-series Analysismentioning

confidence: 99%

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Groundwater Circulation in Fractured and Karstic Aquifers of the Umbria-Marche Apennine

Tamburini

Menichetti

2020

Water

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“…However, Kovačič (2010) and Kovačič and Ravbar (2016) claim that the classification of karst aquifers based on time series analysis alone does not adequately describe actual conditions and that other analyses are required to strengthen the results. As such, MRC analysis was also conducted in this study, in accordance with a review by Katsanou et al (2015).…”

Section: Introductionmentioning

confidence: 99%

Time series analysis application for karst aquifer characterisation in Pindul Cave karst system, Indonesia

Nurkholis

Adji

Haryono

et al. 2019

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UDC 551.44:556.33(594) Afid Nurkholis, Tjahyo Nugroho Adji, Eko Haryono, Ahmad Cahyadi & Slamet Suprayogi: Time series analysis application for karst aquifer characterisation in Pindul Cave karst system, Indonesia The karst hydrologic system in Pindul Cave can be categorised as 'binary' because it is recharged by the developed cave systems around it and by the Kedungbuntung ponor, which originates from an undeveloped karst system. The main objective of this study is to determine whether there are any differences in the aquifer characteristics that recharge to the Kedungbuntung ponor and the Pindul Cave outlet, using a time-series analysis approach. This analysis was conducted using univariate (autocorrelation) and bivariate (cross-correlation) statistical methods, which analyse data based on the domains of time (timebased analysis) and frequency (frequency-based analysis). Furthermore, the Master Recession Curve (MRC) calculation was conducted to confirm the time-series analysis result. Water level and rainfall data in both locations were recorded every 15 minutes over a six-month period (January-June 2017; N = 17,376). According to the time-series analysis, both locations were recharged by conduit, fissure and diffuse flow components; this observation was also confirmed by the MRC graphs which bore three components of recession. Comparison between the two locations showed that the Pindul outlet releases storage aquifers faster than Kedungbuntung. This condition may be caused by Izvleček UDK 551.44:556.33(594) Afid Nurkholis, Tjahyo Nugroho Adji, Eko Haryono, Ahmad Cahyadi & Slamet Suprayogi: Aplikacija analiz časovnih vrst za karakterizacijo kraškega vodonosnika z jamskim sistemom Pindul, Indonezija Kraški hidrološki sistem jame Pindul lahko označimo kot binarni, saj ga napajajo okoliški razviti jamski sistemi in ponor Kedungbuntung, ki se steka z nerazvitega kraškega sistema. Glavni cilj te študije je z uporabo analiz časovnih vrst ugotoviti, ali obstajajo kakršne koli razlike v značilnostih vodonosnika, ki napaja ponor Kedungbuntung, in tistim, ki napaja jamo Pindul. Ta analiza je bila izvedena z uporabo univariatnih (avtokorelacijskih) in bivariatnih (navzkrižno korelacijskih) statističnih metod, ki analizirajo podatke na podlagi časovnih in frekvenčnih vrst. Za potrditev rezultatov analiz časovnih vrst smo izvedli tudi izračun glavnih recesijskih krivulj (GRK). Vsakih 15 minut v šestmesečnem obdobju (januar-junij 2017; N = 17.376) so bili na obeh lokacijah zabeleženi podatki o vodostajih in padavinah. Glede na analizo časovnih vrst obe lokaciji napajajo komponente kanalskega, razpoklinskega in difuznega toka; to opažanje so potrdili tudi grafi GRK, ki kažejo na tri recesijske komponente. Primerjava med obema lokacijama je pokazala, da jama Pindul hitreje sprosti uskladiščeno vodo kot Kedungbuntung, kar je posledica kompleksnega kraškega sistema v kombinaciji z napajanjem iz ponora Kedungbuntung. Hkrati pa medsebojna korelacija praznjenja za

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“…(b) The karst system of the Louros Basin consists of carbonate formations of the Ionian zone. From the springs' discharge data for the Eocene limestones of the area, a long memory emerged just as in the previous case (lag time between 70-100 days) corresponding to increased porosity, which is explained by the presence of the epikarst zone [2,37]. It was also found that the very good drainage of the aquifers corresponds to a developed karst system.…”

Section: The Role and Presence Of The Epikarstic Zone In General Andmentioning

confidence: 61%

Hellenic Karst Aquifers Vulnerability Approach Using Factor Analysis: The Example of the Louros Karst Aquifers

Κατσάνου

2018

Geosciences

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The karst aquifers of the Hellenic territory display high vulnerability that is related to the existence of the epikarst zone. If present, the epikarst zone regulates the vertical movement of the groundwater, which results in the chemical pollutants staying longer within it, thus facilitating the inactivation of the microbial loads. The Hellenic karst is well developed; it displays high hydraulic conductivity, relatively large storage, and the characteristics of an important water reservoir. Although its porosity was calculated to be between 0.005-8%, the statistical processing of the springs' discharge time series points to an increased storage. The increased storage was attributed to the presence of the epikarst zone, which regulates the water movement to the underlying formations, and finally to its discharge from the karst system through springs. In these areas, the influence of nitrogen compounds on the water quality is evident. The presence of cyanobacteria and toxic substances at concentrations that are too high for fresh, flowing waters whose temperature does not exceed 17 • C advocates the role of nutrients, even at concentrations that do not exceed the maximum permissible limits of drinking water. In mountainous areas, where agriculture is limited, the presence of these compounds is attributed to heavily polluting land uses. The impact of such uses became apparent from the application of factor analysis, which not only highlighted their contribution to the overall groundwater quality, but also determined their geographical distribution and origin. From the above, it becomes evident that there is a need for protection of the karst aquifers, and investigation of their vulnerability mechanisms. The Hellenic karst, which is expected to cover the drinking water needs in the near future, proves to be very vulnerable to any kind of pollution.

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Describing the Karst Evolution by the Exploitation of Hydrologic Time-Series Data

Cited by 29 publications

References 32 publications

Groundwater Circulation in Fractured and Karstic Aquifers of the Umbria-Marche Apennine

Groundwater Circulation in Fractured and Karstic Aquifers of the Umbria-Marche Apennine

Time series analysis application for karst aquifer characterisation in Pindul Cave karst system, Indonesia

Hellenic Karst Aquifers Vulnerability Approach Using Factor Analysis: The Example of the Louros Karst Aquifers

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