Interpretation of Spring Recession Curves

Amit, Hagay; Lyakhovsky, Vladimir; Katz, A.; Starinsky, Abraham; Burg, Avihu

doi:10.1111/j.1745-6584.2002.tb02539.x

Cited by 81 publications

(56 citation statements)

References 7 publications

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“…The study region is located in a semiarid Mediterranean climate, with an average annual temperature of between 15°C and 18°C (Amit et al 2002). The average precipitation rate in the region is approximately 550 mm/ year (Figure 2), with rainfall events being brief and infrequent, generally between November and March (Gvirtzman 2002).…”

Section: Hydrogeologic Setting and Conceptual Model Developmentmentioning

confidence: 99%

“…Padilla et al (1994) have shown how a detailed analysis of the recession portions of spring hydrograph curves can provide important information regarding the storage properties of each of the aquifer components (matrix as base flow, and karst/fractures as quick flow). Work by Amit et al (2002) included quantitative assessments of the recession curves from six springs discharging in Israel. Their results showed that the ratio between the maximum storage volume in the rock matrix to the overall maximum storage of the rock matrix and karst conduits and fractures was generally greater than 0.8.…”

Section: Numerical Model Developmentmentioning

confidence: 99%

“…Following Amit et al (2002), the recession curves were treated as being composed of two primary components, quick flow from the karstic ground water pathways and base flow from the rock matrix (Figure 12). The analyses allowed us to approximate the storage volume at each of the sites and thus the storativity.…”

Section: Using Spring Recession Curvesmentioning

confidence: 99%

See 2 more Smart Citations

Estimating Ground Water Recharge using Flow Models of Perched Karstic Aquifers

Weiß¹,

Gvirtzman

2007

Groundwater

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The fraction of rain that is annually recharged to ground water is a function of the transient quantities of precipitation (wet vs. dry years) as well as other meteorological and geologic factors, and thus it is very difficult to estimate. In this study, we have used long records (20 to 30 years) of precipitation and spring discharge to reconstruct the transient character of yearly recharge. These data sets were used to calibrate numerical ground water flow models on the less than 3 km 2 scale for four separate perched karstic aquifers in the Judean and Samarian Mountains of Israel. The stratification and karstic character of the local carbonate rock aquifers cause ground water to flow through discrete dissolution channels and to discharge at isolated springs. An innovative, dual-porosity approach was used where a finite-difference solution simulates flow in the rock matrix, while the karstic channels are simulated using computationally simple drains. Perched conditions are also simulated innovatively using MODFLOW by treating the bottom unsaturated layer as if it is saturated, but by assuming zero pressure head throughout the ''unsaturated'' layer. Best fitting between measured and computed spring hydrograph data has allowed us to develop a set of empirical functions relating measured precipitation to recharge to the aquifer. The generic methodology presented gives insight into the suspected changes in aquifer recharge rates between particularly wet or dry years.

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Section: Hydrogeologic Setting and Conceptual Model Developmentmentioning

confidence: 99%

Section: Numerical Model Developmentmentioning

confidence: 99%

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Estimating Ground Water Recharge using Flow Models of Perched Karstic Aquifers

Weiß¹,

Gvirtzman

2007

Groundwater

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“…Quick flow characterizes short term stream flow generated from storm rainfall [51], which is calculated based on the runoff curve number method, developed by USDA (United States Department of Agriculture) Natural Resources Conservation Service (the runoff curve number predicts runoff or infiltration from excess rainfall for classified hydrological soil groups). Base flow characterizes stream flow emanating from groundwater.…”

Section: Seasonal Water Yield Modelmentioning

confidence: 99%

Ecosystem Services Mapping Uncertainty Assessment: A Case Study in the Fitzroy Basin Mining Region

Wang

Lechner

Baumgartl

2018

Water

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Ecosystem services mapping is becoming increasingly popular through the use of various readily available mapping tools, however, uncertainties in assessment outputs are commonly ignored. Uncertainties from different sources have the potential to lower the accuracy of mapping outputs and reduce their reliability for decision-making. Using a case study in an Australian mining region, this paper assessed the impact of uncertainties on the modelling of the hydrological ecosystem service, water provision. Three types of uncertainty were modelled using multiple uncertainty scenarios: (1) spatial data sources; (2) modelling scales (temporal and spatial) and (3) parameterization and model selection. We found that the mapping scales can induce significant changes to the spatial pattern of outputs and annual totals of water provision. In addition, differences in parameterization using differing sources from the literature also led to obvious differences in base flow. However, the impact of each uncertainty associated with differences in spatial data sources were not so great. The results of this study demonstrate the importance of uncertainty assessment and highlight that any conclusions drawn from ecosystem services mapping, such as the impacts of mining, are likely to also be a property of the uncertainty in ecosystem services mapping methods.

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“…To determine flow regime of the spring, Mangin's approach (1975) was used. The exponential coefficients a represent inherent aquifer characteristics such as material porosity and internal karstification (Amit et al, 2002;Ková cs et al, 2005;Fiorillo, 2011). The results of analysis are presented in Table 4.…”

Section: Karst Development Classificationmentioning

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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Interpretation of Spring Recession Curves

Cited by 81 publications

References 7 publications

Estimating Ground Water Recharge using Flow Models of Perched Karstic Aquifers

Estimating Ground Water Recharge using Flow Models of Perched Karstic Aquifers

Ecosystem Services Mapping Uncertainty Assessment: A Case Study in the Fitzroy Basin Mining Region

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

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