[1] Watershed-scale water quality models involve substantial uncertainty in model output because of sparse water quality observations and other sources of uncertainty. Assessing the uncertainty is very important for those who use the models to support management decision making. Systematic uncertainty analysis for these models has rarely been done and remains a major challenge. This study aimed...

The availability of online support communities creates new opportunities for caregivers of children affected by health conditions to manage their illness-related uncertainty. This dissertation includes two studies that examined the presence of uncertainty management behaviors in online interactions among parents (caregivers) of children with clubfeet, and empirically tested the applicability of...

Complex ecosystem models are often used as a means for gaining insight into ecosystem processes and as a management tool for resource managers. The uncertainty associated with these models present, however, a major stumbling block in their acceptance as a main stream management tool. Even if used, there is often a lack of confidence in the results and predictions due to the uncertainty. In addi...

uncertainty associated with mixing models is often substantial, but has not yet been fully incorporated in models. the objective of this study is to develop and apply a bayesian-mixing model that estimates probability distributions of source contributions to a mixture associated with multiple sources for assessing the uncertainty estimation in sediment fingerprinting in zidasht catchment, iran....