Across the United States, there is a rapidly growing awareness of the occurrence and the toxicological impacts of natural and synthetic trace compounds, known as emerging Contaminants(ECs) in the environment. Wastewater treatment plants (WWTPs) have been identified as a key collection point for ECs in the water cycle and potentially an ideal location at which to treat to remove them, thereby mitigating their release into the environment. Little is known about the nature, variability, transport and fate of ECs in typical wastewaters and treatment facilities in the United States. Furthermore few studies have been performed to monitor or understand the capability of conventional or innovative wastewater treatment processes to remove or reduce the concentrations of a wide variety of ECs at wastewater facilities. This study was designed to provide baseline information on this topic.Wastewaters appear to contain a wide range of ECs. Over 55 of the 63 target contaminants were detected in the five different wastewaters examined during the course of this study, 44 of them frequently. The median cumulative concentrations of EC in the wastewaters ranged from between 120 µg/L to just over 500 µg/L. The raw wastewater characteristics were not as variable as anticipated.Conventional wastewater treatment processes were effective in removing significant amounts of the ECs. Results indicated that the type of technology operated and the mode of operation both had an impact on the removal capability of the plants.Over half of the frequently detected ECs were reduced by 95 percent or more in samples collected at Plants which operated an activated sludge process. Less than 10 percent of the ECs were reduced by 95 percent or more at Plant D, which uses a trickling filter treatment process Furthermore, focused pilot studies indicated that increased removals of ECs were closely associated with increased SRTs in the activated sludge process. The most significant impact of SRT appeared to occur as the sludge age increased above 5 days. While removals continued to improve as the SRT increased above 10 days the benefits were less marked.
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The evolution of preflashover compartment fire modeling is discussed. Early understanding of fire development in enclosures came largely from observing full scale experiments, and the need for modeling arose due to the high costs of running such large experiments. First, experimental modeling techniques were tried, and eventually mathematical models were developed.
The discussion begins with Ingberg's severity equivalent presented in 1928. The history of preflashover compartment fire modeling is carried to the present time. At present, there is considerable emphasis on developing mathematical enclosure fire models. Three types of mathematical room fire models exist. These are the probabilistic, modular, and differential field equation models. Three of the modular models (the IITRI RFIRES Code, the Harvard Computer Fire Code, and the UDRI DACFIR Code) are compared in order to present the techniques currently employed.
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