Interactive inverse methodology applied to stratigraphic forward modelling

Bayesian uncertainty estimation methodology applied to air pollution modelling

The aim of the study is an uncertainty analysis of an air dispersion model[ The model used is described in NRPB!R80 "Clarke\ 0868#\ a model for short and medium range dispersion of radionuclides released into the atmosphere[ Uncertainties in the model predictions arise both from the uncertainty of the input variables and the model simpli_cations\ resulting in parameter uncertainty[ The uncertai...

Forward and Inverse

Forward Modeling of Stratigraphic Sequences at Continental Margins

The goal of the Stratigraphy project of the STRATAFORM program is to understand the creation of the preserved stratigraphic record on continental shelves and slopes as the product of physical processes acting with spatial and temporal heterogeneities. I am using numerical models to provide insight into the formation and preservation of stratigraphic sequences at margins. My goal is to obtain a ...

Stochastic model reduction applied to inverse problems

This article describes the use of Gaussian Processes in model reduction techniques with application to inverse problems. Mainly, the work is focused on the proper construction of the model approximation, namely on training process based on minimal number of learning samples, by making use of automatic samples selection through computed standard deviation of model prediction. An example of appli...

Synthesis of semantic modelling and risk analysis methodology applied to animal welfare.

Decision-making on animal welfare issues requires a synthesis of information. For the assessment of farm animal welfare based on scientific information collected in a database, a methodology called 'semantic modelling' has been developed. To date, however, this methodology has not been generally applied. Recently, a qualitative Risk Assessment approach has been published by the European Food Sa...