Modeling stream-aquifer interactions in a shallow aquifer, Choele Choel Island, Patagonia, Argentina

Rodríguez, Leticia; Cello, Pablo A.; Vionnet, Carlos A.

doi:10.1007/s10040-005-0472-3

Cited by 41 publications

(21 citation statements)

References 12 publications

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“…The capacity balances for the second tank and third tank were calculated by the same formulae as those of traditional tank model: formulae (2) − (9) with the exception of formula (5). The third tank storage (h3 k ) was used to calculate the groundwater level in month k.…”

Section: S + Traditional Tank Modelmentioning

confidence: 99%

“…3). The capacity balance equations for the combined tank model containing three tanks were calculated by formulae (1) to (9) except formula (1) and formula (5).…”

Section: Combined Tank Modelmentioning

confidence: 99%

“…There are several models [3][4][5][6][7][8] including conceptual models and numerical models related to this study, which described groundwater system. Numerical methods are used to simplify physical flow of subsurface and boundary conditions.…”

Section: Introductionmentioning

confidence: 99%

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Application of Modified Tank Model to Simulate Groundwater Level Fluctuations in Kabul Basin, Afghanistan

Aqili

Hong

Hama

et al. 2016

J. of Wat. & Envir. Tech.

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Groundwater management is a significant task to have sustainable groundwater sources in Afghanistan especially in Kabul Basin. In this study, the groundwater level fluctuation simulation and forecast by a traditional tank model, snow tank + traditional tank model (S + traditional tank), combined tank model and snow combined tank model (SC-tank model) were compared. The variables (precipitation, groundwater level, temperature and evaporation) were utilized to simulate and forecast groundwater level fluctuations at a representative observation well (CKB1-W) in Kabul Basin from 2005 to 2013. Shuffled Complex Evolution-University of Arizona (SCE-UA) algorithm was utilized to find the best parameter for the models. Accuracy of model estimation was evaluated by coefficient of determination, Nash-Sutcliffe efficiency (NSE) coefficient and root-mean-square error (RMSE). Consequently, the SC-tank model provided the most accurate result in simulation and forecast of groundwater level fluctuations at the representative observation well in Kabul Basin. The result indicated that the SCtank model constructed in this study could be applied for groundwater management in Kabul Basin, Afghanistan.

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Section: S + Traditional Tank Modelmentioning

confidence: 99%

“…3). The capacity balance equations for the combined tank model containing three tanks were calculated by formulae (1) to (9) except formula (1) and formula (5).…”

Section: Combined Tank Modelmentioning

confidence: 99%

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Application of Modified Tank Model to Simulate Groundwater Level Fluctuations in Kabul Basin, Afghanistan

Aqili

Hong

Hama

et al. 2016

J. of Wat. & Envir. Tech.

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“…Otherwise, system parameters including specific yield and streambed conductance and boundary conditions are the same for all simulations. All computations are conducted using the MODFLOW simulation environment (Leake and Prudic, 1991;McDonald and Harbaugh, 2003;Rodríguez et al, 2006).…”

Section: Experiments Setting and Model Developmentmentioning

confidence: 99%

Nonlinear effects of locally heterogeneous hydraulic conductivity fields on regional stream–aquifer exchanges

Zhu

Winter

Wang

2015

Hydrol. Earth Syst. Sci.

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Abstract.Computational experiments are performed to evaluate the effects of locally heterogeneous conductivity fields on regional exchanges of water between stream and aquifer systems in the Middle Heihe River basin (MHRB) of northwestern China. The effects are found to be nonlinear in the sense that simulated discharges from aquifers to streams are systematically lower than discharges produced by a base model parameterized with relatively coarse effective conductivity. A similar, but weaker, effect is observed for stream leakage. The study is organized around three hypotheses: (H1) small-scale spatial variations of conductivity significantly affect regional exchanges of water between streams and aquifers in river basins, (H2) aggregating small-scale heterogeneities into regional effective parameters systematically biases estimates of stream-aquifer exchanges, and (H3) the biases result from slow paths in groundwater flow that emerge due to small-scale heterogeneities. The hypotheses are evaluated by comparing stream-aquifer fluxes produced by the base model to fluxes simulated using realizations of the MHRB characterized by local (grid-scale) heterogeneity. Levels of local heterogeneity are manipulated as control variables by adjusting coefficients of variation. All models are implemented using the MODFLOW (Modular Three-dimensional Finite-difference Groundwater Flow Model) simulation environment, and the PEST (parameter estimation) tool is used to calibrate effective conductivities defined over 16 zones within the MHRB. The effective parameters are also used as expected values to develop lognormally distributed conductivity (K) fields on local grid scales. Stream-aquifer exchanges are simulated with K fields at both scales and then compared. Results show that the effects of small-scale heterogeneities significantly influence exchanges with simulations based on local-scale heterogeneities always producing discharges that are less than those produced by the base model. Although aquifer heterogeneities are uncorrelated at local scales, they appear to induce coherent slow paths in groundwater fluxes that in turn reduce aquifer-stream exchanges. Since surface watergroundwater exchanges are critical hydrologic processes in basin-scale water budgets, these results also have implications for water resources management.

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“…Numerical simulation of groundwater flow is traditionally used to provide estimates of hydraulic heads and determine the exchange between surface water and groundwater (e.g., Fugazza et al 1983, Pucci and Pope 1995, Nobi and Gupta 1997, Rodríguez et al 2006, Pisinaras et al 2007. Various field methods (e.g., discharge measurement, seepage meters, and geochemical and physical tracers) can provide more direct estimates in local area (Weight 2008, pp.…”

Section: Introductionmentioning

confidence: 99%

Estimate of river seepage by conditioning downward groundwater flow in the Toyohira River alluvial fan, Japan

Sakata

Baran²,

Suzuki³

et al. 2016

Hydrological Sciences Journal

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Estimate of river seepage by conditioning downward groundwater flow in the Toyohira River alluvial fan, JapanRiver seepage serves as the main source of groundwater in alluvial fans. However, reasonable estimates are rarely obtainable due to inaccuracy of vertical flows around the losing river. In the alluvial fan of the Toyohira River, Japan, to provide straightforward description of vertical hydraulic gradient, this study demonstrates to assign constant head boundary conditions on the shallowest aquitard instead of no flow conditions on the basement. Initial constant heads and layer-scale anisotropy are calibrated in terms of hydraulic heads. As a result, the simulated river seepage is in reasonable agreement with previous discharge measurements, with net water loss determined to be approximately 1 m 3 /s.Although the simulation fails water gain in the lower section, due to a lack of sporadic intercalations of fine deposits, the conditioned vertical hydraulic gradient modeling approach is found to be effective on a regional scale, especially when losing/gaining sections have not been identified in advance.

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Modeling stream-aquifer interactions in a shallow aquifer, Choele Choel Island, Patagonia, Argentina

Cited by 41 publications

References 12 publications

Application of Modified Tank Model to Simulate Groundwater Level Fluctuations in Kabul Basin, Afghanistan

Application of Modified Tank Model to Simulate Groundwater Level Fluctuations in Kabul Basin, Afghanistan

Nonlinear effects of locally heterogeneous hydraulic conductivity fields on regional stream–aquifer exchanges

Estimate of river seepage by conditioning downward groundwater flow in the Toyohira River alluvial fan, Japan

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