2010
DOI: 10.1016/j.jhydrol.2010.07.024
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Neural network approach to stream-aquifer modeling for improved river basin management

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Cited by 19 publications
(10 citation statements)
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“…based on calibrated groundwater simulation models [58][59][60][61]. The main goal of these approaches is to represent the groundwater flow dynamics as a manageable number of constraints in the optimization problem solved by the reservoir system analysis model.…”
Section: Linking a Groundwater Simulation Model To A Reservoir Systemmentioning
confidence: 99%
“…based on calibrated groundwater simulation models [58][59][60][61]. The main goal of these approaches is to represent the groundwater flow dynamics as a manageable number of constraints in the optimization problem solved by the reservoir system analysis model.…”
Section: Linking a Groundwater Simulation Model To A Reservoir Systemmentioning
confidence: 99%
“…There are many software products that can design, model, simulate, and optimize water and wastewater systems at different scales [16][17][18]. Instead of using a software that comes as a black box that no one can access and understand how it works, the Project team chose to use the facilities and tools offered by the MICROSOFT EXCEL software, already existing in many companies and much more accessible and intuitive.…”
Section: Optimization Of the Water Management Systemmentioning
confidence: 99%
“…Alternatively, more complex surrogate models such as ANNs can be used to adequately address the non-linearities inherent in groundwater flow (Peralta et al, 2014;Triana et al, 2010). ANN models can be trained with calibrated finite-difference or finiteelement groundwater simulation models.…”
Section: Introductionmentioning
confidence: 99%
“…ANN models can be trained with calibrated finite-difference or finiteelement groundwater simulation models. For instance, Triana et al (2010) trained ANN using results from a calibrated MODFLOW-MT3DMS finite-difference model for the Lower Arkansas River Basin in Colorado, U.S.A., to represent the quantity and quality of stream-aquifer flow exchanges in a river basin management model. They reported good agreement between ANNpredicted and MODFLOW-MT3DMS model results.…”
Section: Introductionmentioning
confidence: 99%