Titlebook: Inverse Problems in Groundwater Modeling; Ne-Zheng Sun Book 1999 Springer Science+Business Media Dordrecht 1999 Groundwater.Likelihood.env

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The Stochastic Method for Solving Inverse Problems,To solve inverse problems, we must have some prior information, field observations, and a model relating the observations to unknown parameters. Since observation error and model structure error always exist and depend on some uncontrollable factors, it is necessary to consider the nature of inverse problems under the framework of stochastics.

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https://doi.org/10.1007/978-94-017-1970-4Groundwater; Likelihood; environment; geology; hydrogeology; model; modeling; terrestrial pollution

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The Adjoint State Method,n .., 1980; Sun and Yeh, 1985; Townley and Wilson, 1985; Ahlferd .., 1988; Sun and Yeh, 1990a; and etc.). Its applications include not only parameter identification, but also sensitivity analysis, reliability estimates, observation design, and so forth. In this section, we will show how to derive th

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educed emissions and fuel consumption. The present work quantifies the impact of such support on the combustion of lean (.) turbulent premixed DME/air flames with a Damköhler number around unity. The flames were aerodynamically stabilised against thermally equilibrated hot combustion products (HCP)