ENVIRONMENTAL ENGINEERING RESEARCH
Online ISSN : 1884-829X
Print ISSN : 1341-5115
ISSN-L : 1341-5115
Analyses of Growth Factors of Taste and Odor Producing Algae by a Fuzzy Neural Network
Yoshinobu ISHIBASHIEisaku OIKAWAHiroyuki HONDATomohiro ADACHIMasahiro NAKATOCHI
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JOURNAL FREE ACCESS

2007 Volume 44 Pages 255-263

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Abstract

Growth factors of musty odor producing Phormidiun tenue and fishy odor prockring Uroglena ameticana were analyzed by a Fuzzy Neural Network. The factors of the two algae were contrary to each other. Wind speed acted-on the growth of P. tenue with a high concentration of nitrate nitrogen and nitrite nitrogen, a certain region of potassium, and other water qualities. The growth of P. tame was remarkable when over 3m/s windblew for approximately 10 days before periodic investigations. Furthermore, the information was proved through interpretation of the previous data and laboratory experiments. For U. americana, the requiredconcentration of potassium was the same as that for P. tenue. However, growth of U. americana was conspicuous when the concentration of nitrate nitrogen and nitrite nitrogen was 0.02-0.2 mg/L. When a gentle wind, such as 1-1.5 m/s, blew for several to 10 days before periodic investigations, the wind was conducive to growth. The results will be helpful for the prediction and control of an occurrence of musty taste and odor in water sources.

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© by Japan Society of Civil Engineers
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