M. Krofta et al., AN ATTEMPT TO UNDERSTAND DISSOLVED AIR FLOTATION USING MULTIVARIATE DATA-ANALYSIS, Water science and technology, 31(3-4), 1995, pp. 191-201
Citations number
21
Categorie Soggetti
Water Resources","Environmental Sciences","Engineering, Civil
In order to optimize the dissolved air flotation (DAF) process, a math
ematical relationship should be established between the operating vari
ables and the quality of the effluent water. In this study, operating
parameters, including influent wastewater characteristics, were relate
d to suspended solid (SS), COD, BOD5 and turbidity of the effluent via
an empirical mathematical model. The data presented in this study wer
e obtained from a pilot plant DAF study carried out on municipal waste
water at Lee, Massachusetts to determine the operating conditions for
the wastewater clarification. Response surface methodology was used to
determine optimal conditions and to study the variations of flotation
behaviour with varying operating conditions. The multivariate techniq
ue used in this study is an extremely valuable tool to analyze data ob
tained from actual wastewater treatment processes where the characteri
stics of the wastewater are constantly changing. Without such a tool i
t may not be possible to draw valid conclusions. In addition, this tec
hnique requires comparatively fewer experiments when compared to tradi
tional methods. Addition of more flocculant and recycle water over wha
t is required actually decreases the effluent water quality. Tests car
ried out with the same DAF unit at Little Rock, Arkansas and Birmingha
m, Alabama have confirmed the accuracy of the predictions from the mod
el.