Le regime hydro-geologique des calcaires eocenes du synclinal du Dyr el Kef (Tunisie)

Schoeller, Henri

doi:10.2113/gssgfbull.s5-xviii.1-3.167

Cited by 11 publications

(9 citation statements)

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“…The first studies that tried to decompose the recession hydrograph, considering the participation of various flow components during the recession process, were already started by Maillet (1905). Here, and also in later studies by Barnes (1939), Schöeller (1948), Werner and Sundquist (1951), Forkasiewicz and Paloc (1967), Hall (1968), Drogue (1972), Kullman (1980), Milanovic (1981), and Padilla et al (1994), only two basic flow components were recognized. Later studies (e.g.…”

Section: Introductionsupporting

confidence: 74%

“…Baseflow separation still features in the most recent studies in catchment hydrology by Salas Aguilar et al (2017), Jakada et al (2019) and Soto (2019). Schöeller (1948Schöeller ( , 1965, followed by Forkasiewicz and Paloc (1967) and Drogue (1972), was probably the first to apply recession curve analysis targeted directly at karst water hydrographs. The first studies that tried to decompose the recession hydrograph, considering the participation of various flow components during the recession process, were already started by Maillet (1905).…”

Section: Introductionmentioning

confidence: 99%

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Esquemas de recesión de la descarga de los manantiales kársticos observados en los acuíferos de carbonatos del Triásico de Eslovaquia

et al. 2021

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Master recession curves of 117 karstic springs from Middle and Upper Triassic carbonate aquifers in the Slovakian territory of the mountainous Western Carpathians were assembled from gauged discharge data. Identified slow-flow and fast-flow components were very diversely represented. Fast-flow components were missing in 47% of springs. In another 20% of springs, only fast-flow components were recognized, while slow-flow components were absent. Simultaneous discharge of both slow-flow and fast-flow components was found at 39 springs (33%). Known geology of recharge areas enabled examination of the impact that outcropping dolomites and/or limestones may pose to the discharge recession. It was found that dolomites in springsheds significantly affect slow-flow components, but do not influence the occurrence of the fast-flow ones. The purely fast-flow-driven recession was present both in limestone and dolomitic springsheds, but merely one fast-flow component was typical for the dolomitic ones. Two or three fast-flow components may appear in "purely limestone" springsheds. Recession coefficients of slow-flow components were within the interval of 0.0004-0.18 days −1 and those of fast-flow within 0.0017-0.31 days −1 . The duration of the fast-flow components is mostly several days or several tens of days, while the theoretical duration of slow-flow may last for decades. Storage in matrix, fractures or conduits of the saturated zone cannot be separately estimated because, in discharged volumes, water from unsaturated and epikarst zones is included. Variable shapes of assembled master recession curves point to the important influence of unsaturated and epikarst zones on the discharge recessional patterns of karst springs.

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Section: Introductionsupporting

confidence: 74%

Section: Introductionmentioning

confidence: 99%

Esquemas de recesión de la descarga de los manantiales kársticos observados en los acuíferos de carbonatos del Triásico de Eslovaquia

et al. 2021

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“…Even though the overall shapes of any recession curve are similar, differences are observed from one to another (Dewandel et al 2003). The shape of the curve can change with the aquifer properties (Schoeller 1948;Forkasiewicz & Paloc 1967;Drogue 1967), and geometry of the aquifer system (Horton 1945;Eisenlohr et al 1997).…”

Section: Recession Analysismentioning

confidence: 99%

“…If the semi-log plotted recession curve shows one linear trend, it can be mathematically explained using one exponential equation. If more than one linear trend, each trend should be explained using separate exponential equations, and the sum of these equations gives the total flow equation, which is called "Modified Maillet Formula" (Barnes 1939;Schoeller 1948;Forkasiewicz & Paloc 1967;Fu et al 2016). In this study, we determined the recession coefficients using Maillet exponential equation, and we defined recession equations by using a modified Maillet formula.…”

Section: Recession Analysismentioning

confidence: 99%

Conduit and fracture flow characteristics of Pınarbaşı spring, Central Taurus Region, Seydişehir, Turkey

Çelik

Çallı

2021

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This study was conducted to investigate the flow and storage mechanisms of a karst aquifer located at the central Taurus Mountains, Turkey. As the biggest discharge point of the aquifer system, the flow characteristics are investigated at Pinarbaşi spring by using recession and time-series analyses. Continuous water level measurements are taken from the spring and are converted to flow rate by using a rating curve. The spring flows for 7 months (December 2014 – July 2015) and dries up for the rest of the year. Six individual recession periods are investigated and analyzed in the discharge time series. The recession coefficients (between 0.029 day-1 and 0.695 day-1) show that the flow within the aquifer system is mainly controlled by large open conduit and partly fracture porosity. The peak discharge is measured as 7.08 m3/s, and the maximum storage within the aquifer is calculated as 3.15 million m3. The continuous discharge data of the spring were evaluated combined with daily rainfall, temperature, electrical conductivity, and amount of suspended sediment in the water. Also a dye-tracing test was also applied to obtain the recharge-discharge relationship and porosity type of the aquifer system. Statistical tests on discharge hydrograph and tracer test showed that the memory of the karst aquifer was found to be about 3 days in the DJF period and about 15 days in the MAM period. The average elevation of the recharge area of the spring was determined to be 1,490 m by using stable isotope data of snow samples and was validated by dye tracer test made via the swallow hole in the recharge area. The total discharge for the year 2015 is estimated at 16.2 million m3 that approximately 25% of the total discharge is caused by snowmelt.

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“…In Tunisia, Tixeront et al [14] measured that 16% to 49% of annual precipitation recharged a Senonian monocline and two Jurassic limestone horsts over four years. Schoeller found that the recharge rate of a 5.8 km 2 Tunisian Eocene limestone syncline groundwater basin to Kef Spring varied annually over eight years from 30% to 90% depending on the amount of precipitation, intensity of rainfall and groundwater-level conditions [15]. Over 19 km 2 of the Djebel Bargou Aptial limestone syncline of Tunisia, Zebidi [16] measured 18% recharge rate over two years.…”

Section: Introductionmentioning

confidence: 99%

Measuring Autogenic Recharge over a Karst Aquifer Utilizing Eddy Covariance Evapotranspiration

Hauwert¹,

Sharp²

2014

JWARP

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Autogenic, or direct aquifer recharge can best be measured as the remainder of a water balance utilizing precise measurement of precipitation, evapotranspiration (ET) and runoff. ET is the largest component of a precipitation water balance and can be measured within 5% using an eddy covariance system with Bowen-ratio energy balance corrections. Water balance components of precipitation, evapotranspiration, internal runoff, soil moisture were measured using a eddy covariance system, tipping bucket and visual rain gauges, flumes, and soil-moisture sensors. The research site was located within a 0.19-km 2 (46-acre) internal drainage sinkhole basin where runoff never flows beyond the basin, but potentially reaches a cave serving as a drain to the sinkhole. Other than the cave drain, the basin slopes are indistinguishable from other slopes across the Barton Springs Segment of the Edwards Aquifer. Over a 505-day water balance interval where change in soil moisture was negligible and precipitation was 42% above average, ET was 68% of precipitation, discrete internal runoff was 6%, and remaining component of diffuse autogenic recharge was measured as the residual of total rainfall as 26% of rainfall. Over a longer period of average rainfall, internal runoff diminished to 3%, but was as high as 42% of precipitation during single storms when the soils were near saturation. These results closely match results from a fiveyear water balance over the Trinity Aquifer of Central Texas where ET was measured to be 65% of precipitation using a Bowen-ratio climate tower, runoff was measured to be 5% of precipitation, and recharge was calculated as the residual at 30% of rainfall. ET flux tower data from other sites across Central Texas indicate that under average precipitation conditions, autogenic recharge is about 28% and intervening recharge area runoff is about 3% of precipitation. During years of higher than average precipitation, authogenic recharge and intervening recharge area runoff combined increase within the range of 30% to 45% of precipitation. N. M. Hauwert, J. M. Sharp 870

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Le regime hydro-geologique des calcaires eocenes du synclinal du Dyr el Kef (Tunisie)

Cited by 11 publications

References 0 publications

Esquemas de recesión de la descarga de los manantiales kársticos observados en los acuíferos de carbonatos del Triásico de Eslovaquia

Esquemas de recesión de la descarga de los manantiales kársticos observados en los acuíferos de carbonatos del Triásico de Eslovaquia

Conduit and fracture flow characteristics of Pınarbaşı spring, Central Taurus Region, Seydişehir, Turkey

Measuring Autogenic Recharge over a Karst Aquifer Utilizing Eddy Covariance Evapotranspiration

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