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Estimation of System Parameters in Ground Water Systems: Application of Optimization Techniques to Estimate Flow and Solute Transport Parameters in Groundwater Systems - Softcover

 
9783639207361: Estimation of System Parameters in Ground Water Systems: Application of Optimization Techniques to Estimate Flow and Solute Transport Parameters in Groundwater Systems
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This study deals with the formulation of a coupled flow-mass transport inverse problem using the weighted least squares (WLS) estimation concept. The parameters of coupled flow-mass transport model are identified based on GNM, SA, and GA. The resulting parameter estimation entails inversion of spatial and temporal distribution of head and concentration. An FEM model is developed for computing the distribution of head and concentration in a confined aquifer. The inverse model based upon GNM, SA, and GA approaches identifies flow and transport parameters within each zone. Aquifer parameters estimated by GNM are compared with those obtained by SA and GA. Reliability of the estimated parameters is assessed using sensitivity and variance-covariance analysis. An optimum parameter structure is identified by computing and analyzing the sum of squared head and concentration residuals for different alternate model structure. GNM, SA, and GA inverse models are adequately modified for their application to the field problem.

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About the Author:
Prof. V.P. Huggi obtained Ph.D. Degree in Civil Engg. from the IIT Bombay, India in 2006. He has special interest in application of Inverse Modeling Techniques to estimate system parameters of Civil Engineering systems. He has published several papers in refereed International journals. He is Fellow/Member of several professional organizations.

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  • PublisherVDM Verlag
  • Publication date2009
  • ISBN 10 363920736X
  • ISBN 13 9783639207361
  • BindingPaperback
  • Number of pages360

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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This study deals with the formulation of a coupled flow-mass transport inverse problem using the weighted least squares (WLS) estimation concept. The parameters of coupled flow-mass transport model are identified based on GNM, SA, and GA. The resulting parameter estimation entails inversion of spatial and temporal distribution of head and concentration. An FEM model is developed for computing the distribution of head and concentration in a confined aquifer. The inverse model based upon GNM, SA, and GA approaches identifies flow and transport parameters within each zone. Aquifer parameters estimated by GNM are compared with those obtained by SA and GA. Reliability of the estimated parameters is assessed using sensitivity and variance-covariance analysis. An optimum parameter structure is identified by computing and analyzing the sum of squared head and concentration residuals for different alternate model structure. GNM, SA, and GA inverse models are adequately modified for their application to the field problem. 360 pp. Englisch. Seller Inventory # 9783639207361

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Book Description Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Huggi VenkappaProf. V.P. Huggi obtained Ph.D. Degree in Civil Engg. from the IIT Bombay, India in 2006. He has special interest in application of Inverse Modeling Techniques to estimate system parameters of Civil Engineering systems. Seller Inventory # 4967149

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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This study deals with the formulation of a coupled flow-mass transport inverse problem using the weighted least squares (WLS) estimation concept. The parameters of coupled flow-mass transport model are identified based on GNM, SA, and GA. The resulting parameter estimation entails inversion of spatial and temporal distribution of head and concentration. An FEM model is developed for computing the distribution of head and concentration in a confined aquifer. The inverse model based upon GNM, SA, and GA approaches identifies flow and transport parameters within each zone. Aquifer parameters estimated by GNM are compared with those obtained by SA and GA. Reliability of the estimated parameters is assessed using sensitivity and variance-covariance analysis. An optimum parameter structure is identified by computing and analyzing the sum of squared head and concentration residuals for different alternate model structure. GNM, SA, and GA inverse models are adequately modified for their application to the field problem. Seller Inventory # 9783639207361

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