Development of risk based treatability and engineering measures for reducing exposure to lead contaminated media in the Miami inner city, Florida

A major consequence of contamination at the local level’s population as it relates to environmental health and environmental engineering is childhood lead poisoning. Environmental contamination is one of the pressing environmental concerns facing the world today. Current approaches often focus on large contaminated industrial size sites that are designated by regulatory agencies for site remediation. Prior to this study, there were no known published studies conducted at the local and smaller scale, such as neighborhoods, where often much of the contamination is present to remediate. An environmental health study of local lead-poisoning data in Liberty City, Little Haiti and eastern Little Havana in Miami-Dade County, Florida accounted for a disproportionately high number of the county’s reported childhood lead poisoning cases. An engineering system was developed and designed for a comprehensive risk management methodology that is distinctively applicable to the geographical and environmental conditions of Miami-Dade County, Florida. Furthermore, a scientific approach for interpreting environmental health concerns, while involving detailed environmental engineering control measures and methods for site remediation in contained media was developed for implementation. Test samples were obtained from residents and sites in those specific communities in Miami-Dade County, Florida (Gasana and Chamorro 2002). Currently lead does not have an Oral Assessment, Inhalation Assessment, and Oral Slope Factor; variables that are required to run a quantitative risk assessment. However, various institutional controls from federal agencies’ standards and regulation for contaminated lead in media yield adequate maximum concentration limits (MCLs). For this study an MCL of .0015 (mg/L) was used. A risk management approach concerning contaminated media involving lead demonstrates that the linkage of environmental health and environmental engineering can yield a feasible solution.

Regulating Casino Gaming: A Checklist for States Considering It

In his essay - Regulating Casino Gaming: A Checklist for States Considering It – by Leonard E. Goodall, Professor of Management and Public Administration, College of Business and Econornics, University of Nevada, Las Vegas, Professor Goodall initially states: “Since various states are likely to continue to debate the issue of the establishment of legal casinos, and since states considering legal casinos must also decide how best to regulate them, the author discusses the similarities and contrasts in the regulatory systems already in operation.” Certainly not all states have solicited casino gaming, or what people generally refer to as gambling, but many have and the list is growing. If casinos are to be, and indications are that many more states will endorse gaming as a source of revenue, then regulating them must follow as a matter of due course says the author. Keep in mind this essay was written in 1988, and the actuality of casino gaming has indeed come to fruition in many states. “Nevada, having legalized casino gaming in 1931, has over a half-century of experience with the regulatory process,” Professor Goodall informs. “When New Jersey approved the establishment of casinos in Atlantic City in 1976, state officials studied the Nevada system carefully and adopted many of Nevada's procedures.” Professor Goodall bullet-points at least 7 key elements that states wanting to pursue gaming should, or in the cases of Nevada and New Jersey, have already addressed in regard to regulation of the industry. Goodall parses, in more detail, those essentials. The ultimate form of regulation is ownership Goodall says. Either state run, or private are the logical options. “The arguments for private ownership have been both pragmatic and political,” Goodall says. “Legislators, like the general public, are skeptical of the ability of state bureaucracies to run big businesses in an efficient manner. Many of them also believe regulation can be more effective if there is at least an arm's-length distance between regulation and ownership,” the professor opines. Additionally important to consider is the purpose of legalization, says Goodall. Are the proceeds earmarked for general funds, or to be used specifically? Geographic considerations are key, Goodall points out. “This decision will depend partly on a state's reasons for having casinos in the first place,” he expands. “New Jersey's policy, for example, is obviously consistent with its goal of using casinos to reinvigorate Atlantic City.” “In both states, one of the most important functions of the regulatory agencies is that of licensing, the process of investigating individuals or organizations and then authorizing them to participate in the gaming business,” Goodall provides. In closing, Goodall says there is no need for ensuing states to reinvent the wheel when it comes to casino gaming regulation. Nevada and New Jersey already provide two good designs from which to emulate and/or build upon.

Development, validation and uncertainty analysis of quantitative structure and activity relationship models for Log P of disinfection by -products

Hydrophobicity as measured by Log P is an important molecular property related to toxicity and carcinogenicity. With increasing public health concerns for the effects of Disinfection By-Products (DBPs), there are considerable benefits in developing Quantitative Structure and Activity Relationship (QSAR) models capable of accurately predicting Log P. In this research, Log P values of 173 DBP compounds in 6 functional classes were used to develop QSAR models, by applying 3 molecular descriptors, namely, Energy of the Lowest Unoccupied Molecular Orbital (ELUMO), Number of Chlorine (NCl) and Number of Carbon (NC) by Multiple Linear Regression (MLR) analysis. The QSAR models developed were validated based on the Organization for Economic Co-operation and Development (OECD) principles. The model Applicability Domain (AD) and mechanistic interpretation were explored. Considering the very complex nature of DBPs, the established QSAR models performed very well with respect to goodness-of-fit, robustness and predictability. The predicted values of Log P of DBPs by the QSAR models were found to be significant with a correlation coefficient R2 from 81% to 98%. The Leverage Approach by Williams Plot was applied to detect and remove outliers, consequently increasing R 2 by approximately 2% to 13% for different DBP classes. The developed QSAR models were statistically validated for their predictive power by the Leave-One-Out (LOO) and Leave-Many-Out (LMO) cross validation methods. Finally, Monte Carlo simulation was used to assess the variations and inherent uncertainties in the QSAR models of Log P and determine the most influential parameters in connection with Log P prediction. The developed QSAR models in this dissertation will have a broad applicability domain because the research data set covered six out of eight common DBP classes, including halogenated alkane, halogenated alkene, halogenated aromatic, halogenated aldehyde, halogenated ketone, and halogenated carboxylic acid, which have been brought to the attention of regulatory agencies in recent years. Furthermore, the QSAR models are suitable to be used for prediction of similar DBP compounds within the same applicability domain. The selection and integration of various methodologies developed in this research may also benefit future research in similar fields.