Modelling of Long Term Permeability of Compacted and Consolidated Clays Permeated With Leachate

In this study, permeability variations of clay soil and removal rates of ions presented in the leachate are determined. Penalized linear regression (Lasso) and support vector regression methods are applied in order to model the relationship between the metal ions and the permeability. For this purpose, leachate is collected from Sanitary Landfill at Sile-Komurcuoda, Istanbul. Permeability of samples is determined via consolidated clays which are compacted via standard methods. The concentrations of Fe2+, Mn2+, Zn2+, Cu2+ and Pb2+ ions in influent and effluent of reactor are anayzed and the removal rate of these ions are calculated in order to detect removal ability of clay soil. An overall evolution of Fe2+, Mn2+, Zn2+, Cu2+ and Pb2+ parameters is that removal rate of clay soil which was compressed with standard methods and consolidated was found higher than that of clay soil compressed with standard compaction method. For prediction accuracy and interpretation purposes, two methods are considered for modelling the data. Both methods show good generalization capabilities

Modelling of long-term permeability of compacted and consolidated clays permeated with leachate

In this study, permeability variations of clay soil and removal rates of ions presented in the leachate are determined. Penalized linear regression (Lasso) and support vector regression methods are applied in order to model the relationship between the metal ions and the permeability. For this purpose, leachate is collected from Sanitary Landfill at Sile-Komurcuoda, Istanbul. Permeability of samples is determined via consolidated clays which are compacted via standard methods. The concentrations of Fe2+, Mn2+, Zn2+, Cu2+ and Pb2+ ions in influent and effluent of reactor are anayzed and the removal rate of these ions are calculated in order to detect removal ability of clay soil. An overall evolution of Fe2+, Mn2+, Zn2+, Cu2+ and Pb2+ parameters is that removal rate of clay soil which was compressed with standard methods and consolidated was found higher than that of clay soil compressed with standard compaction method. For prediction accuracy and interpretation purposes, two methods are considered for modelling the data. Both methods show good generalization capabilities

Antimicrobial effects in food and prevention of contamination in food industry

Microbial Contaminants and Contamination Routes in Food Industry - 1st Open Seminar arranged by SAFOODNET; Espoo; Finland; 22 January 2007 through 23 January 2007The most commonly recognized food-borne infections are caused by Campylobacter jejuni and Salmonella spp. In the past 25 years, Listeria monocytogenes has become increasingly important as a food-associated pathogen. Though, an annual incidence of human listeriosis is between two and ten reported cases per million in EU countries. Because of its high case fatality rate, listeriosis ranks among the most frequent causes of death due to food-borne illness. L. monocytogenes and C. jejuni has been shown to adapt to different environmental stress factors, including disinfectants. Salmonella enteritidis, C. jejuni and L. monocytogenes may also form a biolfim which helps to survive in the environment. For that reason, the food industrial hygiene has become important to avoid contamination of raw food and food products with these pathogens