Del 0 - International Series of Numerical Mathematics

Optimal Control of Soil Venting: Mathematical Modeling and Applications

Inbunden, Engelska, 1999

AvMarian Slodicka,Horst H. Gerke,Urs Hornung,Youcef Kelanemer,Stephan Schumacher

709 kr

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A description of the latest and most appropriate mathematical and numerical methods for optimizing soil venting. The monograph considers mathematical, numerical, and technical aspects as well as their practical significance. This book will be of interest to applied mathematicians, geophysicists, geoecologists, soil physicists, and environmental engineers.

Produktinformation

Utgivningsdatum1999-02-01
Mått155 x 235 x 15 mm
Vikt430 g
FormatInbunden
SpråkEngelska
SerieInternational Series of Numerical Mathematics
Antal sidor152
Upplaga1999
FörlagBirkhauser Verlag AG
ISBN9783764360412

Tillhör följande kategorier

1 Introduction.- 1.1 Background and Problem.- 1.2 Objectives.- 2 Modeling Soil Venting.- 2.1 Physical Basis of the Venting Technique.- 2.2 Simulation Models.- 3 Stationary Problem and Optimal Control.- 3.1 Basic and State Equations, Objective Function.- 3.2 Mathematical Analysis, Simplifications.- 4 Well-Posedness and Optimality.- 4.1 Air Flow in a Domain with Holes.- 4.2 Air Flow with Dirac-Type Sinks.- 4.3 Non-smooth Transmissivity at Active Wells.- 4.4 Contaminant Transport in a Domain with Holes.- 4.5 Differentiation of the Transport Equations.- 5 Optimization of Simple Well Configurations.- 5.1 One Single Active Well.- 5.2 Two Active Wells.- 5.3 Configurations with a Few Wells.- 6 Estimating the Coefficients.- 6.1 Pedotransfer Model.- 6.2 Spatial Variability and Uncertainties.- 6.3 Ordinary Kriging.- 6.4 Generation of a Random Field.- 6.5 Parameter Identification of Kertess.- 7 Numerical Methods and Optimization.- 7.1 Gas Flow Field.- 8 Applications.- 8.1 Kertess.- 8.2 Kirchweyhe.- 9 Stochastic Optimization.- 9.1 Monte Carlo Optimization.- 9.2 Sensitivity Analysis.- 10 Discussions and Conclusions.- 10.1 Time Dependent Problem.- 10.2 Optimization of Well Positions in Large Scale Applications.- 10.3 Further Aspects of Stochastic Optimization.