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中文摘要：
对地下水模型进行反演是模拟过程中的一个必要步骤,使用反演程序自动校正模型可快速确定最佳拟合的参数值,分析参数对模拟结果的敏感性,比人工试算-调整法更为优越。UCODE是一款被广泛应用的地下水模型反演程序,它使用高斯牛顿法进行参数优化,反演结果对参数初值有一定的依赖性。通过建立假想的非稳定流模型,进行6组数值试验,验证了UCODE程序的实用性。尽管参数的初始取值会影响反演的进程,但只要取值适当,UCODE就能实现优化参数的目的。
英文摘要：
This paper illustrates the significance of calibration for groundwater modeling,and demonstrates that automated calibration techniques using inverse problem program are superior to manual trial-and-error methods.The widely used UCODE is one of such programs which optimizes the parameter values by Gauss-Newton methods.The initial parameter values play an important role to calibration.A synthetic transient model is constructed,and six numerical experiments are performed to verify the practicability of UCODE program.The results show that although the initial values of parameters would influence the procedure of calibration,given appropriate values,UCODE could achieve the objective for optimization.
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