Development of a personality profile of a firefighter

This study investigated the differences in personality, consistent with the vocational theory of personality as proposed by Holland (1997), for a modern day firefighter. This study also investigates the relationships between personality characteristics and job duties performed by firefighters and firefighter-paramedics. Archival data from employees (N = 98) of a Southeastern Florida fire department who completed the Hogan Personality Inventory (HPI), Hogan Development Survey (HDS) and Motives, Values, Preferences Inventory (MVPI), as well as a self-report questionnaire on variety proneness (boredom), job satisfaction, and affective well-being data were analyzed. The scores of the firefighters on the HPI, HDS, and MVPI were used as predictive data, and criterion data used in this study were self-report satisfaction data on job involvement, variety proneness (boredom), and affective well-being. In addition, criterion data on performance were obtained from the employment histories of the participants, and were correlated with the personality scale scores to determine if personality is predictive of aspects of performance. ^ Participants in this study varied with respect to the type of firefighter duties required from them on their jobs. The participants were categorized into three duty classifications: Group 1 (G1) are the firefighters hired before 1990 and are only certified as firefighters; Group 2 (G2) are the firefighters hired before 1990 who became paramedics at some point after employment and after fire college training; and Group 3 (G3) are the firefighters hired after 1990 who were trained as paramedics in the fire college and who were aware of the paramedic requirement at time of application or were already trained as paramedics at the time of application. From the research reviewed and presented in this paper, hypotheses were generated about differences between the personality types of firefighter groups G1 and G2 versus G3, in accordance with Holland's theories. In addition, it was hypothesized that personality will predict outcomes of satisfaction and performance. ^ Results found that job satisfaction was not found to be statistically different among the groups. However, the groups differed significantly on 5 of the predictive instrument scales, and personality was found to be a predictor of limited performance data. ^

Development of an odor management plan for industrial stationary sources in an urban environment: A case study for Broward County, Florida

Objectionable odors remain at the top of air pollution complaints in urban areas such as Broward County that is subject to increasing residential and industrial developments. The odor complaints in Broward County escalated by 150 percent for the 2001 to 2004 period although the population increased by only 6 percent. It is estimated that in 2010 the population will increase to 2.5 million. Relying solely on enforcing the local odor ordinance is evidently not sufficient to manage the escalating odor complaint trends. An alternate approach similar to odor management plans (OMPs) that are successful in managing major malodor sources such as animal farms is required. ^ This study aims to develop and determine the feasibility of implementing a comprehensive odor management plan (COMP) for the entire Broward County. Unlike existing OMPs for single sources where the receptors (i.e. the complainants) are located beyond the boundary of the source, the COMP addresses a complex model of multiple sources and receptors coexisting within the boundary of the entire county. Each receptor is potentially subjected to malodor emissions from multiple sources within the county. Also, the quantity and quality of the source/receptor variables are continuously changing. ^ The results of this study show that it is feasible to develop a COMP that adopts a systematic procedure to: (1) Generate maps of existing odor complaint areas and malodor sources, (2) Identify potential odor sources (target sources) responsible for existing odor complaints, (3) Identify possible odor control strategies for target sources, (4) Determine the criteria for implementing odor control strategies, (5) Develop an odor complaint response protocol, and (6) Conduct odor impact analyses for new sources to prevent future odor related issues. Geographic Information System (GIS) is used to identify existing complaint areas. A COMP software that incorporates existing United States Environmental Protection Agency (EPA) air dispersion software is developed to determine the target sources, predict the likelihood of new complaints, and conduct odor impact analysis. The odor response protocol requires pre-planning field investigations and conducting surveys to optimize the local agency available resources while protecting the citizen's welfare, as required by the Clean Air Act. ^