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Stochastic simulation of rainfall and climate variables using the direct sampling technique

Oriani, Fabio ; Renard, Philippe (Dir.)

Thèse de doctorat : Université de Neuchâtel, 2015.

An accurate statistical representation of hydrological processes is of paramount importance to evaluate the uncertainty of the present scenario and make reliable predictions in a changing climate. A wealth of historic data has been made available in the last decades, including a consistent amount of remote sensing imagery describing the spatio-temporal nature of climatic and hydrological...

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Geological stochastic imaging for aquifer characterization

Mariéthoz, Grégoire ; Renard, Philippe (Dir.)

Thèse de doctorat : Université de Neuchâtel, 2009 ; Th. 2105.

Accurately modeling connectivity of geological structures is critical for flow and transport problems. Using multiple-points simulations is one of the most advanced tools to produce realistic reservoir structures. It proceeds by considering data events (spatial arrangements of values) derived from a training image (TI). The usual method consists in storing all the data events of the TI in a...

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