WIT Press


Uncertainty Management Through Stochastic Modelling

Price

Free (open access)

Paper DOI

10.2495/WP990161

Volume

33

Pages

10

Published

1999

Size

1,078 kb

Author(s)

Mario E. Rossi

Abstract

Quantifying uncertainty when dealing with predictions about water contamination, both for volume and for contained pollutants, has been recognized as critical in a thorough contamination assessment study. The reason is that errors in the water sampling process, characterizations of the geometry of the contaminant plume or body, interpolation of the sampled values across a contaminated field, and characterizations of the physical processes that predict fate and transport are always present. It is not possible to obtain a realistic assessment of contamination without accepting first, and modelling later, the intrinsic uncertainty carried over the whole process. This paper proposes a rational stochastic methodology, based on geostatistical conditional simulations, that allows assessment and modelling of the e

Keywords