Calibration of a crop model to irrigated water use using a genetic algorithm

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dc.contributor.author Bulatewicz, Tom
dc.contributor.author Jin, W.
dc.contributor.author Staggenborg, Scott A.
dc.contributor.author Lauwo, S.
dc.contributor.author Miller, M.
dc.contributor.author Das, S.
dc.contributor.author Andresen, D.
dc.contributor.author Peterson, Jeffrey M.
dc.contributor.author Steward, David R.
dc.contributor.author Welch, S. M.
dc.date.accessioned 2010-09-14T17:54:51Z
dc.date.available 2010-09-14T17:54:51Z
dc.date.issued 2010-09-14T17:54:51Z
dc.identifier.uri http://hdl.handle.net/2097/4945
dc.description.abstract Near-term consumption of groundwater for irrigated agriculture in the High Plains Aquifer supports a dynamic bio-socio-economic system, all parts of which will be impacted by a future transition to sustainable usage that matches natural recharge rates. Plants are the foundation of this system and so generic plant models suitable for coupling to representations of other component processes (hydrologic, economic, etc.) are key elements of needed stakeholder decision support systems. This study explores utilization of the Environmental Policy Integrated Climate (EPIC) model to serve in this role. Calibration required many facilities of a fully deployed decision support system: geo-referenced databases of crop (corn, sorghum, alfalfa, and soybean), soil, weather, and water-use data (4931 well-years), interfacing heterogeneous software components, and massively parallel processing (3.8×109 model runs). Bootstrap probability distributions for ten model parameters were obtained for each crop by entropy maximization via the genetic algorithm. The relative errors in yield and water estimates based on the parameters are analyzed by crop, the level of aggregation (county- or well-level), and the degree of independence between the data set used for estimation and the data being predicted. en_US
dc.relation.uri http://www.hydrol-earth-syst-sci.net/13/1467/2009/ en_US
dc.rights © Author(s) 2009. This work is distributed under the Creative Commons Attribution 3.0 License. en_US
dc.subject Groundwater en_US
dc.subject Agriculture en_US
dc.subject High Plains Aquifer en_US
dc.subject Sustainability en_US
dc.subject Irrigation en_US
dc.title Calibration of a crop model to irrigated water use using a genetic algorithm en_US
dc.type Article (publisher version) en_US
dc.date.published 2009 en_US
dc.citation.doi doi:10.5194/hess-13-1467-2009 en_US
dc.citation.epage 1483 en_US
dc.citation.jtitle Hydrology and Earth System Sciences en_US
dc.citation.spage 1467 en_US
dc.citation.volume 13 en_US
dc.contributor.authoreid tombz en_US
dc.contributor.authoreid jpeters en_US
dc.contributor.authoreid sstaggen en_US
dc.contributor.authoreid welchsm en_US
dc.contributor.authoreid steward en_US
dc.contributor.authoreid sdas en_US

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