Multi-objective calibration of a surface water-groundwater flow model in an irrigated agricultural region: Yaqui Valley, Sonora, Mexico

Schoups, Gerrit; Addams, C. Lee; Gorelick, Steven M.

doi:10.5194/hess-9-549-2005

Cited by 44 publications

(22 citation statements)

References 18 publications

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“…It is known that information about hydraulic head alone does not allow both recharge and transmissivity to be simultaneously estimated in some conditions (Haitjema 1995(Haitjema , 2006. It is therefore desirable to use a variety of data sources to determine in which alternative models we might have sufficient confidence (Kim et al 1999;Schoups et al 2005;Hunt et al 2006;Renard 2007). Groundwater models in particular can potentially predict a number of different outputs, for which data can often be obtained.…”

Section: Multi-objective Parameter Estimation: Sampling Models Thatmentioning

confidence: 99%

Methods for Exploring Uncertainty in Groundwater Management Predictions

Guillaume

Hunt

Comunian

et al. 2016

Integrated Groundwater Management

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Models of groundwater systems help to integrate knowledge about the natural and human system covering different spatial and temporal scales, often from multiple disciplines, in order to address a range of issues of concern to various stakeholders. A model is simply a tool to express what we think we know. Uncertainty, due to lack of knowledge or natural variability, means that there are always alternative models that may need to be considered. This chapter provides an overview of uncertainty in models and in the definition of a problem to model, highlights approaches to communicating and using predictions of uncertain outcomes and summarises commonly used methods to explore uncertainty in groundwater management predictions. It is intended to raise awareness of how alternative models and hence uncertainty can be explored in order to facilitate the integration of these techniques with groundwater management.

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Section: Multi-objective Parameter Estimation: Sampling Models Thatmentioning

confidence: 99%

Methods for Exploring Uncertainty in Groundwater Management Predictions

Guillaume

Hunt

Comunian

et al. 2016

Integrated Groundwater Management

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“…The Yaqui River watershed encompasses ∼80,000 km 2 , and three reservoirs on the Yaqui River and its tributaries are the major source of irrigation water to the valley. A network of irrigation canals delivers water from these reservoirs to serve 233,000 ha of irrigated agriculture, with 15% of irrigation water lost from fields as surface water runoff [ Schoups et al , 2005]. Approximately 330 wells are used primarily as a supplemental source for irrigation water, and most access a deep aquifer that varies from 30 to 100 m from the surface [ Schoups et al , 2005].…”

Section: Valley Overviewmentioning

confidence: 99%

“…A network of irrigation canals delivers water from these reservoirs to serve 233,000 ha of irrigated agriculture, with 15% of irrigation water lost from fields as surface water runoff [ Schoups et al , 2005]. Approximately 330 wells are used primarily as a supplemental source for irrigation water, and most access a deep aquifer that varies from 30 to 100 m from the surface [ Schoups et al , 2005]. A shallow aquifer varies in depth by season and can rise to 1–2 m from the surface during period of high recharge [ Schoups et al , 2005].…”

Section: Valley Overviewmentioning

confidence: 99%

“…Approximately 330 wells are used primarily as a supplemental source for irrigation water, and most access a deep aquifer that varies from 30 to 100 m from the surface [ Schoups et al , 2005]. A shallow aquifer varies in depth by season and can rise to 1–2 m from the surface during period of high recharge [ Schoups et al , 2005]. Surface water runoff is carried by a series of drains that empty into small lagoons or one of two larger estuaries (Bahía Lobos in the north and Bahía del Tóbari in the south) before entering the Gulf of California (Figures 1 and 2) .…”

Section: Valley Overviewmentioning

confidence: 99%

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A synthesis of nitrogen transformations and transfers from land to the sea in the Yaqui Valley agricultural region of northwest Mexico

Ahrens

Beman

Harrison

et al. 2008

Water Resources Research

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1] Intensification of agricultural systems represents one of the most significant land use changes of the last century. High fertilizer inputs have been a key component of intensification and have contributed to increases in crop yield in most areas, but they can also cause profound alterations in the biogeochemical functioning of the soil, water, and air resources of these systems, particularly with regard to the nutrient nitrogen (N). Comprehensive studies linking field-scale fertilization with regional N fates and consequences for water resources are surprisingly sparse, particularly in the rapidly developing tropics and subtropics. Here we synthesize 15 years of research in wheat fields, drainage canals, estuaries, and coastal waters of the Yaqui Valley region of Sonora, Mexico. Although a relatively low proportion (<4%) of total N inputs are exported via surface water to the coast, the episodic nature of these losses can have significant ecological consequences. For instance, gaseous and dissolved N fluxes from agricultural fields are among the highest observed, and N-rich runoff from the Yaqui Valley fuels phytoplankton blooms in coastal waters. Reductions in N losses with improved timing of fertilizer application relative to crop demand are possible without negatively affecting crop yield or quality and may help to move this and similar regions closer to sustainability.

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“…Finally, the method is incorporated into a multiobjective optimization problem (MOO). Multiobjective optimization has been employed in hydrologic calibration problems in the past [see, e.g., Yapo et al , 1998, Gupta et al , 2003; Schoups et al , 2005]. The goals selected here are simultaneous minimization of calibration error and model complexity.…”

Section: Introductionmentioning

confidence: 99%

Inverse groundwater modeling with emphasis on model parameterization

Kourakos

Mantoglou

2012

Water Resources Research

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[1] This study develops an inverse method aiming to circumvent the subjective decision regarding model parameterization and complexity in inverse groundwater modeling. The number of parameters is included as a decision variable along with parameter values. A parameterization based on B-spline surfaces (BSS) is selected to approximate transmissivity, and genetic algorithms were selected to perform error minimization. A transform based on linear least squares (LLS) is developed, so that different parameterizations may be combined by standard genetic algorithm operators. First, three applications, with isotropic, anisotropic, and zoned aquifer parameters, are examined in a single objective optimization problem and the estimated transmissivity is found to be near the true one. Interestingly, in the anisotropic case, the algorithm converged to a solution with an anisotropic distribution of control points. Next, a single objective optimization with regularization, penalizing complex models, is considered, and last, the problem is expressed in a multiobjective optimization framework (MOO), where the goals are simultaneous minimization of calibration error and model complexity. The result of MOO is a Pareto set of potential solutions where the user can examine the tradeoffs between calibration error and model complexity and select the most suitable model. By comparing calibration with prediction errors, it appears, that the most promising models are the ones near a region where the rate of decrease of calibration error as model complexity increases drops (bend of error curve). This is a useful result of practical interest in real inverse modeling applications.Citation: Kourakos, G., and A. Mantoglou (2012), Inverse groundwater modeling with emphasis on model parameterization, Water Resour. Res., 48, W05540,

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Multi-objective calibration of a surface water-groundwater flow model in an irrigated agricultural region: Yaqui Valley, Sonora, Mexico

Cited by 44 publications

References 18 publications

Methods for Exploring Uncertainty in Groundwater Management Predictions

Methods for Exploring Uncertainty in Groundwater Management Predictions

A synthesis of nitrogen transformations and transfers from land to the sea in the Yaqui Valley agricultural region of northwest Mexico

Inverse groundwater modeling with emphasis on model parameterization

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