Regional flood frequency analysis for Newfoundland and Labrador using the L-Moments index-flood method

The L-moments based index-flood procedure had been successfully applied for Regional Flood Frequency Analysis (RFFA) for the Island of Newfoundland in 2002 using data up to 1998. This thesis, however, considered both Labrador and the Island of Newfoundland using the L-Moments index-flood method with flood data up to 2013. For Labrador, the homogeneity test showed that Labrador can be treated as a single homogeneous region and the generalized extreme value (GEV) was found to be more robust than any other frequency distributions. The drainage area (DA) is the only significant variable for estimating the index-flood at ungauged sites in Labrador. In previous studies, the Island of Newfoundland has been considered as four homogeneous regions (A,B,C and D) as well as two Water Survey of Canada's Y and Z sub-regions. Homogeneous regions based on Y and Z was found to provide more accurate quantile estimates than those based on four homogeneous regions. Goodness-of-fit test results showed that the generalized extreme value (GEV) distribution is most suitable for the sub-regions; however, the three-parameter lognormal (LN3) gave a better performance in terms of robustness. The best fitting regional frequency distribution from 2002 has now been updated with the latest flood data, but quantile estimates with the new data were not very different from the previous study. Overall, in terms of quantile estimation, in both Labrador and the Island of Newfoundland, the index-flood procedure based on L-moments is highly recommended as it provided consistent and more accurate result than other techniques such as the regression on quantile technique that is currently used by the government.

Crime and prejudice: The influence of appearance on blame amongst perpetrators and victims

Stereotypes based on characteristics such as age, race, and gender influence opinions in a criminal context. Yet, to date research has largely assessed whether perpetrators, rather than victims, are judged differently. Furthermore, although facial features can be a source of unconscious bias, research has failed to assess whether perceptions based on facial features affect the criminal context. To better understand the relationship between stereotypic facial features and gender, and whether this varies across perpetrators and victims, participants were asked to answer questions about an aggravated assault scenario after viewing an image of a person described as the victim or the alleged perpetrator. Images varied in gender and in presence or absence of tattoos or gothic makeup. Participants sympathized with the victim regardless of gender, but discrepancies were stronger if the victim was female than male. Neutral and tattooed faces were judged more harshly than faces with gothic makeup, regardless of gender.