期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

Parameter Estimation and Experimental Design in Groundwater Modeling

Parameter Estimation and Experimental Design in Groundwater Modeling
在线阅读 下载PDF
导出
摘要 This paper reviews the latest developments on parameter estimation and experimental design in the field of groundwater modeling. Special considerations are given when the structure of the identified parameter is complex and unknown. A new methodology for constructing useful groundwater models is described, which is based on the quantitative relationships among the complexity of model structure, the identifiability of parameter, the sufficiency of data, and the reliability of model application. This paper reviews the latest developments on parameter estimation and experimental design in the field of groundwater modeling. Special considerations are given when the structure of the identified parameter is complex and unknown. A new methodology for constructing useful groundwater models is described, which is based on the quantitative relationships among the complexity of model structure, the identifiability of parameter, the sufficiency of data, and the reliability of model application.
作者 SUNNe-zheng
机构地区 UniversityofCaUforniaatLosAngeles。LosAngeles
出处 《地球科学进展》 CAS CSCD 2004年第3期409-414,共6页 Advances in Earth Science
关键词 GROUNDWATER moleliy INVERSE PROBLEM Paremeter ESTIMATION MODEL reliabitity EXPERIMENTAL desiqn Groundwater moleliy Inverse problem Parameter estimation Model reliabitity Experimental desiqn
分类号 P641 [天文地球—地质矿产勘探]
  • 相关文献

参考文献18

  • 1Sun N Z. Inverse Problems in Groundwater Modeling[M]. Kluwer: Academic Publishers,1994.
  • 2Liu J. A sensitivity analysis for least-squares ill-posed problems using the Haar basis[J]. SIAM Journal of Numerical Analysis,1994,31 (5):1 486-1 496.
  • 3Sun N Z, Yang S L, Yeh W W G. A proposed stepwise regression method for model structure identification[J]. Water Resource Research, 1998,34(10):2 561-2 572.
  • 4Coppola, Szidarovszky E F, Poulton M,et al. Artificial neural network approach for predicting transient water levels in a multilayered groundwater system under variable state, pumping, and climate conditions[J]. Journal of Hydrological Engineering, 2003,8
  • 5Morshed J, Kaluarachchi J J. Parameter estimation using artificial neural network and genetic algorithm for free-product migration and recovery[J]. Water Resource Research, 1998,34(5): 1 101- 1 113.
  • 6Knabner P,Igler B. Structural Identification of conlinear coefficient functions in transport processes through porous media[A]. In:Bungartz H J, Hoppe R H W, Zenger C, eds. Lectures on Applied Mathematics[C]. Springer-Verlag, 2000.
  • 7Sun N Z, Yeh W W G. Identification of parameter structure in groundwater inverse problems[J]. Water Resource Research, 1985,21(6): 869-883.
  • 8Heredia J, Medina A, Carrera J. Estimation of parameter geometry[A]. In: Crolet J M ed.Computational Methods for Flow and Transport in Porous Media[M]. Kluwer: Academic Publishers, 2000.
  • 9Hu L Y. Gradual deformation and iterative calibration of Gaussian-related stochastic models[J]. Mathematics Geology,2000,32(1):87-108.
  • 10Ameur H G, Chavent Jaffre J. Refinement and coarsening indicators for adaptive parameterization: Application to the estimation of hydraulic transmissivities[J]. Inverse Problems,2002, 18:775-794.
地球科学进展
2004年 第3期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部