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Civil Engineering Faculty Publications and Presentations

Series

2018

Bayesian inference

Articles 1 - 2 of 2

Full-Text Articles in Engineering

Multihazard Scenarios For Analysis Of Compound Extreme Events, Mojtaba Sadegh Jun 2018

Multihazard Scenarios For Analysis Of Compound Extreme Events, Mojtaba Sadegh

Civil Engineering Faculty Publications and Presentations

Compound extremes correspond to events with multiple concurrent or consecutive drivers (e.g., ocean and fluvial flooding, drought, and heat waves) leading to substantial impacts such as infrastructure failure. In many risk assessment and design applications, however, multihazard scenarios of extremes and compound events are ignored. In this paper, we review the existing multivariate design and hazard scenario concepts and introduce a novel copula-based weighted average threshold scenario for an expected event with multiple drivers. The model can be used for obtaining multihazard design and risk assessment scenarios and their corresponding likelihoods. The proposed model offers uncertainty ranges of most likely …


The Quest For Hydrological Signatures: Effects Of Data Transformation On Bayesian Inference Of Watershed Models, Mojtaba Sadegh, Morteza Shakeri Majd, Jairo Hernandez, Ali Torabi Haghighi Mar 2018

The Quest For Hydrological Signatures: Effects Of Data Transformation On Bayesian Inference Of Watershed Models, Mojtaba Sadegh, Morteza Shakeri Majd, Jairo Hernandez, Ali Torabi Haghighi

Civil Engineering Faculty Publications and Presentations

Hydrological models contain parameters whose values cannot be directly measured in many field-scale projects, hence need to be meaningfully inferred through calibration against historical records. Much progress has been made in development of efficient search algorithms in order to find optimal parameter values and their underlying uncertainty distributions. Yet, relatively little is known about the effects of calibration data (or error residual) transformations on the identifiability of model parameters and reliability of model predictions. Effects of calibration data transformations on the posterior parameter distribution and predictive capability of two parsimonious hydrological models are analyzed herein. Our results depict that calibration …