Calibration of an agricultural-hydrological model (RZWQM2) using surrogate global optimization

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• 作者：Maolong Xi^a ; Dan Lu^b ; ^{lud1@ornl.gov} ; Dongwei Gui^c ; ^{guidwei@163.com} ; Zhiming Qi^d ; Guannan Zhang^e
• 关键词：RZWQM2 ; Sparse grid ; Surrogate model ; QPSO algorithm ; Global optimization
• 刊名：Journal of Hydrology
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：544
• 期：Complete
• 页码：456-466
• 全文大小：516 K
• 卷排序：544

文摘

A sparse grid method is developed to build a surrogate model of the RZWQM2. The global optimization algorithm QPSO is used for parameter estimation. Calibrating the surrogate gives comparable results as the calibration of the RZWQM2. The surrogate global optimization greatly improves computational efficiency.