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

T. Bulatewicz, W. Jin, S. Staggenborg, S. Lauwo, M. Miller, S. Das, D. Andresen, J. Peterson, D. R. Steward, S. M. Welch

Research output: Contribution to journalArticle

14 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)1467-1483
Number of pages17
JournalHydrology and Earth System Sciences
Volume13
Issue number8
DOIs
StatePublished - Jan 1 2009

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genetic algorithm
water use
decision support system
calibration
crop
economic system
sorghum
alfalfa
environmental policy
entropy
soybean
recharge
climate modeling
stakeholder
maize
aquifer
agriculture
weather
software
groundwater

Cite this

Bulatewicz, T., Jin, W., Staggenborg, S., Lauwo, S., Miller, M., Das, S., ... Welch, S. M. (2009). Calibration of a crop model to irrigated water use using a genetic algorithm. Hydrology and Earth System Sciences, 13(8), 1467-1483. https://doi.org/10.5194/hess-13-1467-2009

Calibration of a crop model to irrigated water use using a genetic algorithm. / Bulatewicz, T.; Jin, W.; Staggenborg, S.; Lauwo, S.; Miller, M.; Das, S.; Andresen, D.; Peterson, J.; Steward, D. R.; Welch, S. M.

In: Hydrology and Earth System Sciences, Vol. 13, No. 8, 01.01.2009, p. 1467-1483.

Research output: Contribution to journalArticle

Bulatewicz, T, Jin, W, Staggenborg, S, Lauwo, S, Miller, M, Das, S, Andresen, D, Peterson, J, Steward, DR & Welch, SM 2009, 'Calibration of a crop model to irrigated water use using a genetic algorithm', Hydrology and Earth System Sciences, vol. 13, no. 8, pp. 1467-1483. https://doi.org/10.5194/hess-13-1467-2009
Bulatewicz, T. ; Jin, W. ; Staggenborg, S. ; Lauwo, S. ; Miller, M. ; Das, S. ; Andresen, D. ; Peterson, J. ; Steward, D. R. ; Welch, S. M. / Calibration of a crop model to irrigated water use using a genetic algorithm. In: Hydrology and Earth System Sciences. 2009 ; Vol. 13, No. 8. pp. 1467-1483.
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