Use Of PH, Contact Time, Chlorine Dose And
Temperature On The Formation Of
Trihalomethane And Some Predictive Models
Author(s)
I. García & L. Moreno
Abstract
An empirical model for predicting trihalomethane (THMs) formation, using
linear and nonlinear regression, was carried out using a database built when the
influence of enhanced coagulation on the formation of THMs was studied. These
experiments were done under different conditions of pH, temperature, chlorine
dosages and contact time; and two types of coagulation (enhanced and
conventional). This database was first used to compare the formation of
trihalomethane obtained in these experiments with some existing predictive
models. Because the values measured experimentally did not agree enough with
the values from the predictive models for both coagulation types, new ones were
developed using the results of enhanced coagulation experiments. In order to test
the predictive capacity of the models, both linear and non-linear models, were
used to predict the formation of THMs using the database obtained from the
conventional coagulation experiments. The nonlinear model gave best results in
comparison with the linear model. The results were statistically validated by
analysis of variance and other statistics parameters.
Keywords: anova, empirical model, natural organic matter, statistic, trihalomethane.
1 Introduction
Empirical and chlorination decay models have been used to describe the
Chlorination By-products (CBPs) behaviour. Amy [1] developed in 1987 THMs
Keywords
anova, empirical model, natural organic matter, statistic, trihalomethane.
Related Book
Other papers in this volume
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