农业工程学报2012，Vol.28Issue(10)：118-123,6.DOI:10.3969/j.issn.1002-6819.2012.10.019
根系水质模型中土壤与作物参数优化及其不确定性评价
Optimizing and uncertainty evaluation of soil and crop parameters in root zone water quality model
摘要
Abstract
Reducing uncertainty in optimizing agricultural system model parameters is the key issue for model applications. An automated parameter estimation software (PEST) was used to calibrate the soil parameters and crop genetic parameters in the root zone water quality model (RZWQM). The simulation results optimized by PEST were better than the calibration results via manual trial and error method, and showed higher efficiency. Parameterization uncertainty analysis of the model by PEST showed that the calibration data selection, initial parameter value, soil hydraulic parameter estimation method, interactions between these different parameter types and objective functions (error resources) had significant influences on PEST optimization results. Similar optimized soil hydraulic parameters were obtained from above processes, but produced different soil water retention curve. By above assessment, the uncertainty in RZWQM parameter optimization was reduced with improved soil water and crop yield predictions. This result can help optimize parameters of other similar models by PEST.关键词
模型/优化/不确定性/根系水质模型/PESTKey words
models/ optimization/ uncertainty analysis/ root zone water quality model/ PEST分类
农业科技引用本文复制引用
房全孝..根系水质模型中土壤与作物参数优化及其不确定性评价[J].农业工程学报,2012,28(10):118-123,6.基金项目
国家自然科学基金资助项目(30800164) （30800164）
山东省优秀中青年科学家科研奖励基金(BS2009NY003) （BS2009NY003）
山东省自然科学基金(ZR2010CQ010) （ZR2010CQ010）
土壤与农业可持续发展国家重点实验室开放课题(Y052010012) （Y052010012）
2011青岛市科技发展计划(11-2-3-18-nsh) （11-2-3-18-nsh）
