Describing the Karst Evolution by the Exploitation of Hydrologic Time-Series Data
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Water Resour Manage DOI 10.1007/s11269-015-0987-x Describing the Karst Evolution by the Exploitation of Hydrologic Time-Series Data K. Katsanou1 & N. Lambrakis 1 & G. Tayfur2 & A. Baba2 Received: 18 July 2014 /Accepted: 24 March 2015 # Springer Science+Business Media Dordrecht 2015 Abstract The importance of the groundwater management of karst aquifers relatively to their complexity requires the knowledge of the subsurface flow and storage behavior. In this study, a methodological approach based on the exploitation of daily spring’s discharge data was developed and tested. The methodology makes use of the hydrograph recession curves, the correlograms output, and the logarithmically structured duration curves. This methodological approach was applied to the complex karst system of Louros basin. The Louros karst system consists of individual karst units discharged by respective springs which are distributed on three levels and form three easily distinguishable groups. The application results revealed a well organized karst system with conduits of slow and fast flow. It also revealed the uniformity and the complexity of the different units, as well as the properties, such as the storativity and the evolutionary process. This approach demonstrates the benefits of interpreting different methods in a hydrologically meaningful way for the recharge data evaluation. Keywords Duration curves . Statistical analysis . Springs’ discharge data . Cross correlation function . Recession curves . Karst aquifer 1 Introduction A typical karst aquifer is an extremely heterogeneous organized network of conduits with different diameter, extent and joints. This organization which is related to the evolution of the carbonate rocks results in spatial and temporal variation of the aquifer properties, such as the porosity and hydraulic conductivity. According to White (2003), the hydraulic conductivity * K. Katsanou [email protected] 1 Department of Geology, Section of Applied Geology and Geophysics, Laboratory of Hydrogeology, University of Patras, Rio-Patras, GR 26504, Greece 2 Department of Civil Engineering, Izmir Institute of Technology, Engineering Faculty, Gulbahce, Urla 35430, Turkey K. Katsanou et al. can be categorized as: 1. the matrix (or granular) permeability of the bedrock itself, 2. the fracture permeability and 3. the conduit permeability. Because of the high karst heterogeneity no model is yet capable of simulating the whole aquifer system, unless under drastic simplifying assumptions (Groves et al. 1999). Studies on the function and hydrodynamic behavior of karst aquifers have mainly focused on the analysis of the whole karst spring hydrograph (Galabov 1972; Soulios 1991;Bonacci1993)orthe recession curves (Schoeller 1965;Mangin1975; Padilla et al. 1994). Time series analysis, considering rainfall as an input and spring discharge as an output, has been also employed in karst hydrogeology (Mangin 1981; Mangin and Pulido-Bosch 1983; Mangin 1984; Machkova et al. 1994; Padilla and Pulido-Bosch 1995;Pulido-Boschetal.1995; Angelini and Dragoni 1997; Eisenlohr et al. 1997;Larocqueetal.1998; Labat et al. 2000; Lambrakis et al. 2000; Bouchaou et al. 2002; Panagopoulos and Lambrakis 2006;Katsanouetal.2011;among many). Indeed in many cases, statistical methods were applied to the study of the rainfall trend, as for example the investigation of drought periods and their impact on the springs’ discharge (Alexakis and Tsakiris 2010; Tsakiris and Alexakis 2013). Time series data analysis attempts to decode the information of hydrodynamic behavior of karst aquifers. Each statistical method describes a single characteristic of the karst. For example; the coherency function method is used to investigate the property of linearity that characterizes a highly karstified aquifer when a change in the input function (precipitation) creates a proportional change of the output function (spring’s discharge) (Larocque et al. 1998). The gain function expressing the amplification (>1) or attenuation (<1) of the output data in relation to the input signal constitutes an indication of the storage capacity of an aquifer (Padilla and Pulido-Bosch 1995). The use of autocorrelation and cross correlation functions could be practical and efficient in describing the hydrodynamic time series of a karst aquifer (Panagopoulos and Lambrakis 2006). A method taking into consideration the recession coefficients of hydrographs, the lag time from the application of auto- and cross- correlation functions, and the duration curves constructed on a logarithmic basis could provide very useful information for the complexity, the evolution, and properties of a complex karst system consisting of individual karst units. From a hydrogeological point of view, the recession curve analysis provides information related to properties, such as the karst formation storativity, the lithological types, the degree of fragmentation, and the porosity while the correlogram provides qualitative information on the karstification degree and the amount of groundwater reserves (Mangin 1984; Padilla and Pulido-Bosch 1995; Bouchaou et al. 2002). The duration curves are proved to be useful for the comparison of karst springs in relation to the watersheds that recharge them (Οzis et al. 1993; Florea and Vacher 2006). Moreover, identical duration curves correspond to karst units of similar function (Mangin 1971;Soulios1985; Florea and Vacher 2006). This study investigates the evolution of the karst formations and describes the karst properties by means of well-known methodologies which exploit the discharge time series of the springs. For this purpose; the analysis of the recession curves, the study of the auto- and cross- correlation function as well as the duration curves, were carried out. The effectiveness and usefulness of carefully selected and tested methods were demonstrated. These methods were applied to daily discharge data of 11 karst springs located in Louros basin which was extensively investigated using hydrogeological and hydrochemical methods (Katsanou 2012). For these springs, the available sporadic daily measurements within a month and for several years (1982–1987) were completed by the use of simulation codes (Katsanou et al. 2014)and used as representative for the springs’ yield. On the same time, daily precipitation data were used for each individual catchment. Describing the Karst Evolution by the Exploitation of Hydrologic 2 Methodological Approach A brief review on the employed methods is considered to be essential for understanding their application and utility in describing the karst system. The citing order is related to the hydrogeological interpretation of the treated data. It was very early understood that the form of a spring’s response (discharges) to a pulse force (precipitation) indicates all the factors that affect its catchment area. Areas with favorable potential groundwater yield, displaying high values of transmissivity and base flow, could be delineated by using base flow as an indicator. Hence the recession curves were considered. The correlograms were also studied as they contain information on the karst evolution and properties. Finally, the form of the duration curves was also taken into consideration so as to evaluate the complexity of the karst and the individual units’ interrelation. The recession curves correspond to the part of the hydrograph which extends between the discharge peak and the point at which the next rising limb starts. Their analysis enables the estimation of the aquifer’s hydrogeological properties. Generally, the recession coefficient is proportional to the hydraulic conductivity and inversely proportional to the karst aquifer storativity and extent (Soulios 2008). According to Riggs (1964) and Petras (1986) any changes in the slope of the recession curve are attributed to heterogeneous aquifers. In case that a single exponential term can express the recession curve the aquifer is regarded as uniform in terms of hydraulic conductivity and storativity (Petras 1986). On the other hand, Padilla et al. (1994) claimed that the aquifer is considered to be not uniform if in a semi-logarithmic diagram the recession curve comprises of two components. In this case, the higher slope corresponds to the rapid discharge and the lower slope to the base flow. According to Mangin (1970) the recession curve composes of the falling and the depletion curves that correspond to two terms of the Mangin’s recession equation. Coutagne (1968) considered the recession as a response of a single reservoir, the discharge of which obeys a power low of the drained volume. Mangin (1981) was the first to study and treat the rainfall and the derived discharge time series in statistical terms. Aiming to describe the Pyreneean karst aquifers and their functions he/she obtained further depth in his interpretation (Ford and Williams 2007). The most used ones are autocorrelation, spectral density, cross-correlation, cross-amplitude, gain, coherency and phase functions for which detailed theoretical analysis and mathematical expressions can be found in Mangin (1981), Mangin and Pulido-Bosch (1983), Mangin (1984) Box et al. (1994), Padilla and Pulido-Bosch (1995) and Larocque et al. (1998). In this paper, the auto and cross correlogram are briefly presented and used to outline the memory and the karstification degree of Louros’ individual units. The memory of a karst unit corresponds to the time period which is required so that the initial conditions no longer affect its function.