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Abstract

For simplicity we consider here only Kertess and one single pollutant namely the Tetra-chloret hen. The total air pumping rate is also fixed and given the value 100 \( \tfrac{g} {s} \). We suppose that we have two stochastic parameters namely transmissivity and volatilization coefficient. We suppose that the stochastic properties of these variables are known and many realizations of them can be done (see Section 6.3). The Monte Carlo formulation gives a reliable design solution. Let T i and V i , i = 1,…, M be M transmissivities and volatilization coefficients generated by Monte Carlo realization. We consider here two aspects of the effect of the spatial variability of these two parameters: the Monte Carlo Optimization and the sensitivity of the average optimum to the parameters.

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© 1999 Springer Basel AG

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Gerke, H.H., Kelanemer, Y., Hornung, U., Slodička, M., Schumacher, S. (1999). Stochastic Optimization. In: Optimal Control of Soil Venting: Mathematical Modeling and Applications. ISNM International Series of Numerical Mathematics, vol 127. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8732-8_9

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  • DOI: https://doi.org/10.1007/978-3-0348-8732-8_9

  • Publisher Name: Birkhäuser, Basel

  • Print ISBN: 978-3-0348-9747-1

  • Online ISBN: 978-3-0348-8732-8

  • eBook Packages: Springer Book Archive

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