Document Type
Dissertation
Date of Award
Spring 5-31-1996
Degree Name
Doctor of Philosophy in Civil Engineering - (Ph.D.)
Department
Civil and Environmental Engineering
First Advisor
Hsin Neng Hsieh
Second Advisor
Su Ling Cheng
Third Advisor
Robert Dresnack
Fourth Advisor
S. Mitra
Fifth Advisor
Dorairaja Raghu
Abstract
Data collected from different wastewater treatment processes have provided statistically significant evidence that many toxic organic contaminants on EPA's list of priority pollutants concentrate several orders of magnitude greater than influent concentrations in industrial and municipal wastewater sludges. Because of the reversibility of sorption processes, it is possible for sorbed organic compounds to desorb at a later time, hence making disposal of these sludges a potential problem. Although a number of models have been developed to predict sorption parameters, they have all been based on empirically derived descriptors whose validity is seriously compromised by the variation in available data for these parameters. In this research study a reliable QSAR model based on theoretically derived molecular connectivity indexes has been developed to predict the release of halogenated aliphatic hydrocarbon compounds from activated sludge solids. Model development was conducted using a statistically designed training set of compounds. Sorption of halogenated aliphatics was observed to be a totally reversible process, which was modeled by a QSAR model based on the first order molecular connectivity index for activated sludge solids fractionated at a Relative Centrifugal Force (RCF) of 5000 x g.
Recommended Citation
Mukherjee, Sudhi Ranjan, "Development of a multivariate QSAR model to predict desorption of halogenated aliphatic hydrocarbons from activated sludge solids" (1996). Dissertations. 1018.
https://digitalcommons.njit.edu/dissertations/1018
