The contribution of time series analysis to the study of the hydrodynamic characteristics of the karst systems: Application on two typical karst aquifers of Greece (Trifilia, Almyros Crete)

Panagopoulos, George; Lambrakis, N.

doi:10.1016/j.jhydrol.2006.02.023

Cited by 138 publications

(81 citation statements)

References 21 publications

(54 reference statements)

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“…In general, a correlogram with a gentle slope can be an indicator of data series persistence, while, if it drops off rapidly, it describes the random nature of the values [45]; furthermore, the slower decline of ACF function for hydrological data describes an aquifer with low draining properties, low permeability or major groundwater storage, conversely a faster decline of the autocorrelation function indicates a more rapid flow of water through the aquifer and/or its limited storage capacity [1,2,5,11,18,52,53].…”

Section: The Autocorrelation Functionmentioning

confidence: 99%

“…On the other hand, cross-correlation applied only to residuals describes the relationship between the random components of the data, giving an idea about the response of the system against a unitary impulse, hence the cross-correlogram can be used as the "unitary hydrograph" in surface hydrology [2,3]. Furthermore, the delay of the response gives an estimation of the pressure pulse transfer times (the piezometric level increase due to hydrostatic pressure increase in the aquifer) and of the particle travel times through the aquifer [5,6,9,44,[48][49][50]54,57]. In our study, because of the small surface area considered, the input rainfall signal, referred to SP rain gauge, is common to all wells and consequently the variability of the transfer function can be related only to site-specific structural and functional variability of the hydrological processes [57].…”

Section: The Cross-correlation Functionmentioning

confidence: 99%

“…Previous scientific research on long time series was focused mainly on hydrogeological processes concerning relationships between precipitation and spring discharge or river level, quite often considering fractured aquifer systems [1][2][3][4][5][6]; these analyses provided complementary information to the hydrogeological properties of a natural system, to the transit time through the subsurface's unsaturated zone, and to the recharge of the aquifer, supporting the correct implementation of hydrogeological conceptual and numerical models [7][8][9][10]. On the other hand, the behavior analysis of long piezometric level time series was almost neglected and limited to short periods that rarely exceeded a year (e.g., contaminated site studies).…”

Section: Introductionmentioning

confidence: 99%

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Statistical and Fractal Approaches on Long Time-Series to Surface-Water/Groundwater Relationship Assessment: A Central Italy Alluvial Plain Case Study

Chiaudani

Curzio

Palmucci

et al. 2017

Water

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Abstract:In this research, univariate and bivariate statistical methods were applied to rainfall, river and piezometric level datasets belonging to 24-year time series . These methods, which often are used to understand the effects of precipitation on rivers and karstic springs discharge, have been used to assess piezometric level response to rainfall and river level fluctuations in a porous aquifer. A rain gauge, a river level gauge and three wells, located in Central Italy along the lower Pescara River valley in correspondence of its important alluvial aquifer, provided the data. Statistical analysis has been used within a known hydrogeological framework, which has been refined by mean of a photo-interpretation and a GPS survey. Water-groundwater relationships were identified following the autocorrelation and cross-correlation analyses. Spectral analysis and mono-fractal features of time series were assessed to provide information on multi-year variability, data distributions, their fractal dimension and the distribution return time within the historical time series. The statistical-mathematical results were interpreted through fieldwork that identified distinct groundwater flowpaths within the aquifer and enabled the implementation of a conceptual model, improving the knowledge on water resources management tools.

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Section: The Autocorrelation Functionmentioning

confidence: 99%

Section: The Cross-correlation Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Statistical and Fractal Approaches on Long Time-Series to Surface-Water/Groundwater Relationship Assessment: A Central Italy Alluvial Plain Case Study

Chiaudani

Curzio

Palmucci

et al. 2017

Water

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“…Panagopoulos and Lambrakis (2006) demonstrated that by studying time-series analysis of rainfall as input and spring discharges as output along with hydrodynamic and recession curves analysis we can evaluate the whole of karst aquifers. The response times of karst aquifers depend on various factors, such as the contribution of allogenic recharge and internal runoff, the carrying capacity and internal structure of conduit system, and the area of the groundwater basin (White, 2002).…”

Section: Introductionmentioning

confidence: 99%

Surface and subsurface karstification of aquifers in arid regions: the case study of Cheshme-Ali Spring, NE Iran

Ashjari¹,

Karami²

2016

JCKS

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Objective karstification assessment is a key component of hydrogeological studies of aquifers. In this research, surface and subsurface karst development have been assessed, based on different methods, to get insights into karstification processes in the area of the Cheshme-Ali karstic aquifer, located in northeast Iran. GIS information, remote sensing, and field measurements of fracture density and frequency have been used to determine surface karst development. The monthly spring discharge rate and physicochemical parameters of the Cheshmeh-Ali Spring in 2003-2004 were used to determine subsurface karstification rate. Additional monthly measurements of discharge rate and chemical parameters were carried out in 2010-2011. The evaluation of surface karstification (S k ) illustrates moderate karstification of 51.47 percent. The response of the aquifer to precipitation shows the impact of one or more conduits in the water level fluctuation zone that generate a rapid response of the spring to large precipitation events. The spring hydrograph analysis indicates a pseudo-diffuse flow system in the region. The hydrograph and chemograph analyses demonstrate average subsurface karstification index of 1.7 m. Finally, it is concluded that although both methods demonstrate karstification processes in an aquifer, these kind of reservoirs still require more intelligible approaches, as well as comparable methods for their description.

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“…The hydrogeological study of karst aquifers is particularly difficult because of the complex and heterogeneous character of the karstic massif and the limited number of available wells that permit hydrogeological observation (Padilla and Pulido-Bosch, 1995;Panagopoulos and Lambrakis, 2006;. As a result, studies on the function and hydrodynamic behaviour of karst aquifers are focused on the analysis of the characteristics of karst springs.…”

Section: Introductionmentioning

confidence: 99%

On the Temporal Behavior of Karst Aquifers, zagros Region, Iran: A Geostatistical Approach

Mohammadi¹,

Field²

2009

J Cave Karst Stud

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A geostatistical approach was used to study temporal structures in a time series of discharge and electrical conductivity (EC) in 15 karst springs from the Zagros mountain range, Iran. Two types of temporal behaviors, a periodic structure and nugget effect, plus one or two temporal structures, were identified and interpreted. These correspond to characteristics of karst systems, such as the catchment area, percent of conduit flow, and general degree of karst development. Springs were grouped into three categories based on their ranges (e.g., residence time) obtained by variogram analysis. The first group of springs include those that present the same temporal behaviour in variograms of discharge and EC. These springs are characterized by generally constant EC with increasing discharge suggesting the existence of a large underground reservoir. The second group of springs are those with varying temporal periodic behavior in variograms of discharge and EC. Positive correlation between discharge and EC values is the main characteristic of these springs and is interpreted to result from a piston-flow system in poorly developed karst aquifers. The third group of springs includes those that exhibit different temporal behaviors when compared with the periodic and non-periodic variograms. This group exhibits a negative correlation in scatterplots of discharge versus EC values suggesting a well-developed solution-conduit system that facilitates rapid response of the karst system to precipitation events. This study's results document the role of variogram analysis in delineating temporal structures of spring behaviors by means of time series of discharge and EC. Variogram analysis can be considered as a valuable tool for hydrogeological investigations in karstic terranes.

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The contribution of time series analysis to the study of the hydrodynamic characteristics of the karst systems: Application on two typical karst aquifers of Greece (Trifilia, Almyros Crete)

Cited by 138 publications

References 21 publications

Statistical and Fractal Approaches on Long Time-Series to Surface-Water/Groundwater Relationship Assessment: A Central Italy Alluvial Plain Case Study

Statistical and Fractal Approaches on Long Time-Series to Surface-Water/Groundwater Relationship Assessment: A Central Italy Alluvial Plain Case Study

Surface and subsurface karstification of aquifers in arid regions: the case study of Cheshme-Ali Spring, NE Iran

On the Temporal Behavior of Karst Aquifers, zagros Region, Iran: A Geostatistical Approach

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