A numerical solution to integrated water flows: Application to the flooding of an open pit mine at the Barcés river catchment – La Coruña, Spain

Hernández, J.-H.; Padilla, Francisco; Juncosa, Ricardo; Vellando, P.; Fernández, Álvaro

doi:10.1016/j.jhydrol.2012.09.040

Cited by 21 publications

(11 citation statements)

References 19 publications

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“…Several numerical models have been developed to predict the groundwater inflow to open pit mines and to predict the hydraulic head in observation wells at different distances from the centre of the pit (e.g. Aryafar et al, 2009;Bahrami et al, 2014;Crowe et al, 2004;Doulati Ardejani et al, 2003a;Hernández et al, 2012;Singh et al, 2012). Bahrami et al (2014) presented a two-dimensional (2D) numerical finite element model using SEEP/W (Geo-slope International Limitd, 2012) software to predict the groundwater inflow to an open pit mine, and modeled the hydraulic head in observation wells at different distances from the centre of the pit, for the period of the mining process.…”

Section: Undesirable Effects Of This May Includementioning

confidence: 99%

Application of artificial neural network coupled with genetic algorithm and simulated annealing to solve groundwater inflow problem to an advancing open pit mine

Bahrami

Ardejani

Baafi

2016

Journal of Hydrology

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(2016). Application of artificial neural network coupled with genetic algorithm and simulated annealing to solve groundwater inflow problem to an advancing open pit mine. Journal of Hydrology, Application of artificial neural network coupled with genetic algorithm and simulated annealing to solve groundwater inflow problem to an advancing open pit mine AbstractIn this study, hybrid models are designed to predict groundwater inflow to an advancing open pit mine and the hydraulic head (HH) in observation wells at different distances from the centre of the pit during its advance. Hybrid methods coupling artificial neural network (ANN) with genetic algorithm (GA) methods (ANN-GA), and simulated annealing (SA) methods (ANN-SA), were utilised. Ratios of depth of pit penetration in aquifer to aquifer thickness, pit bottom radius to its top radius, inverse of pit advance time and the HH in the observation wells to the distance of observation wells from the centre of the pit were used as inputs to the networks. To achieve the objective two hybrid models consisting of ANN-GA and ANN-SA with 4-5-3-1 arrangement were designed. In addition, by switching the last argument of the input layer with the argument of the output layer of two earlier models, two new models were developed to predict the HH in the observation wells for the period of the mining process. The accuracy and reliability of models are verified by field data, results of a numerical finite element model using SEEP/W, outputs of simple ANNs and some well-known analytical solutions. Predicted results obtained by the hybrid methods are closer to the field data compared to the outputs of analytical and simple ANN models. Results show that despite the use of fewer and simpler parameters by the hybrid models, the ANN-GA and to some extent the ANN-SA have the ability to compete with the numerical models. AbstractIn this study, hybrid models are designed to predict groundwater inflow to an advancing open pit mine and the hydraulic head (HH) in observation wells at different distances from the centre of the pit during its advance. Hybrid methods coupling artificial neural network (ANN) with genetic algorithm (GA) methods (ANN-GA), and simulated annealing (SA) methods (ANN-SA), were utilised. Ratios of depth of pit penetration in aquifer to aquifer thickness, pit bottom radius to its top radius, inverse of pit advance time and the HH in the observation wells to the distance of observation wells from the centre of the pit were used as inputs to the networks. To achieve the objective two hybrid models consisting of ANN-GA and ANN-SA with 4-5-3-1 arrangement were designed. In addition, by switching the last argument of the input layer with the argument of the output layer of two earlier models, two new models were developed to predict the HH in the observation wells for the period of the mining process. The accuracy and reliability of models are verified by field data, results of a numerical finite element model using SEEP/W, outputs of simple ANNs and some well-known ana...

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Section: Undesirable Effects Of This May Includementioning

confidence: 99%

Application of artificial neural network coupled with genetic algorithm and simulated annealing to solve groundwater inflow problem to an advancing open pit mine

Bahrami

Ardejani

Baafi

2016

Journal of Hydrology

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“…1) was mainly developed in order to be able to analyse anisotropic groundwater behaviour as well as surface water flows at a watershed scale. It can also consider other water components such as the evapotranspiration processes, that is, a diffusive discharge from surface water and soils within the unsaturated zone by a root water uptake sub-model, as well as the overland flow by a rainfall-runoff sub-model based on an exponential method for assessing the infiltration rates [10]. Actual evapotranspiration (ETa).…”

Section: Model Descriptionmentioning

confidence: 99%

Modelling integrated extreme hydrology

Padilla¹,

Hernández²,

Juncosa³

et al. 2016

Int. J. SAFE

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The present research is concerned with some numerical developments and practical application of a physically based numerical model FreshWaterSheds that incorporates a finite element solution to the steady/transient problems of the joint ground/surface fresh/salt water flows in inland and coastal regulated watersheds. The proposed model considers surface and groundwater interactions to be 2-D horizontally distributed and depth-averaged through a diffusive wave approach. Infiltration rates, overland flows and evapotranspiration processes are considered by diffuse discharge from surface water, unsaturated subsoil and groundwater table. New improvements also allow for the management of surface water flow control through the capacity of diversion on flooding zones of catchment areas, as well as on river beds, spillways and outflow operations of floodgates in weirs and dams of reservoirs. Practical application regards the flooding hazard of Aznalcóllar toxic spillages. This flooding disaster was caused by the sequential ruptures of the dikes of two mining residual reservoirs of a pyrite mine, releasing about 10•10 6 m 3 of contaminated wastewater and mining sludge onto the Guadiamar River. The numerical model was adapted to the wastewater and sludge properties of both sudden spillages, as well as to the river bed, the flooded zones and the underneath alluvial aquifer. The model simulation and calibration were made during the date of this hydrological hazard to the likely discharges and dual hydrograph produced by the sudden twofold failure of both reservoirs.

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“…In this sense, this numerical approach ( Figure 1) was mainly developed in order to analyze the surface and groundwater behaviour at a watershed scale, and it can also consider other water components such as the evapotranspiration process, that is a diffusive discharge from surface water and soils within the unsaturated zone by a root water uptake sub-model, as well as the overland flow by a rainfall-runoff sub-model based on an exponential method for assessing the infiltration rates (Hernández et al [10]). Thicknesses of groundwater (z gw ), subsoil (z ss ) and stream/overland flow (z s ).…”

Section: Model Descriptionmentioning

confidence: 99%

“…Infiltration rates as well as overland flows generation processes are assessed by the concerned sub-models. Evaporation and evapotranspiration processes are considered by a diffuse discharge sub-model from surface water, non-saturated subsoil and groundwater table (Hernández et al [10]).…”

Section: Introductionmentioning

confidence: 99%

Application of a numerical model designed for integrated watershed management

Padilla¹,

Hernández²,

Juncosa³

et al. 2015

WIT Transactions on Ecology and the Environment

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The present research is concerned with the latest developments and practical application of a physically-based numerical model MELEF (Modèle d'ÉLÉments Fluides, in French) that incorporates a finite elements solution to the steady/transient problems of the joint ground/surface fresh/salt water flows in inland and coastal regulated watersheds. The proposed model considers surface and groundwater interactions to be 2-D horizontally distributed and depthaveraged through a diffusive wave approach. Infiltration rates, overland flows and evapotranspiration processes are considered by diffuse discharge from surface water, non-saturated subsoil and groundwater table. Recent developments also allow for the management of surface water flow control through the capacity of diversion on river beds, spillways and outflow operations of floodgates in weirs and dams of reservoirs. The application regards the actual hydrology of the Mero River watershed, with two important water bodies mainly concerned with the water resources management at the Cecebre Reservoir and the present flooding of a deep coal mining excavation. The model was adapted and calibrated during a period of five years (2008/2012) with the help of hydrological parameters, registered flow rates, water levels, precipitation, water uses and water management operations in surface and groundwater bodies. The results presented predict the likely evolution of the Cecebre Reservoir, the flow rates in rivers and the flooding of the Meirama open pit.

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A numerical solution to integrated water flows: Application to the flooding of an open pit mine at the Barcés river catchment – La Coruña, Spain

Cited by 21 publications

References 19 publications

Application of artificial neural network coupled with genetic algorithm and simulated annealing to solve groundwater inflow problem to an advancing open pit mine

Application of artificial neural network coupled with genetic algorithm and simulated annealing to solve groundwater inflow problem to an advancing open pit mine

Modelling integrated extreme hydrology

Application of a numerical model designed for integrated watershed management

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