Susana Almeida

TL;DR: In this article, a parameter selection process, similar to a likelihood weighting procedure, was applied for 1,023 possible combinations of 10 different data sources, ranging from using 1 to all 10 of these products.

TL;DR: It is suggested that the use of simple aleatory distributional models, common in current practice, will underestimate the potential variability in assessing hazards, consequences, and risks.

TL;DR: In this paper, the authors used the combined hydrology and stability model (CHASM) with sensitivity analysis and classification and regression trees (CART) to identify critical thresholds in slope properties and climatic (rainfall) drivers that lead to slope failure.

TL;DR: There is potential for further exchange of ideas and experience between natural hazard research communities on decision analysis approaches and broader application of decision methodologies to natural hazard management and evaluation of existing decision approaches can potentially lead to more efficient allocation of scarce resources.

TL;DR: The results show that the consideration of the inter-signature error structure may improve predictions when the error correlations are strong, but other uncertainties such as model structure and observational error may outweigh the importance of these correlations.