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International Journal of Environment Science and Technology
Center for Environment and Energy Research and Studies (CEERS)
ISSN: 1735-1472 EISSN: 1735-1472
Vol. 12, No. 5, 2015, pp. 1503-1514
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Bioline Code: st15140
Full paper language: English
Document type: Research Article
Document available free of charge
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International Journal of Environment Science and Technology, Vol. 12, No. 5, 2015, pp. 1503-1514
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Evaluation of pool water quality of trout farms by fuzzy logic: monitoring of pool water quality for trout farms
Yalcuk, A. & Postalcioglu, S.
Abstract
Pool water must have a certain quality
parameters for the vital processes of trout. For this purpose,
monitoring of a pool water quality of trout farms is realized
using fuzzy logic with graphical user interface (GUI). Pool
water qualities of four trout farms with different sources
were investigated in terms of chemical oxygen demand,
ammonium nitrogen, pH and electrical conductivity
parameters during 270 days of study period between
August 2011 and April 2012. The resulting data set created
a 21 × 32-sized matrix for all parameters. Comparison
between input and output waters of pools is made with
SPSS (PASW 18) software for parameter changes in the
pools. It would be too difficult for the observer researcher
to interpret this set, a computer program was developed
with fuzzy logic system, the decision-making tool, to
graphically present the Turkish Water Pollution Control by
laws state in pool water quality. Fuzzy logic was used in
the evaluation of these data and notification of the critical
states which exceeded the limiting values. The classification
of the product of the quality characteristics is performed
by human experts due to the absence of measuring
devices. The program is developed to graphically present
the conditions regarding pool water quality with GUI.
Fuzzy logic results are presented on the monitors. The
results enable even those people with inadequate
knowledge about the subject to comment on pool water
quality of farms. This software increases awareness of the
water quality.
Keywords
Environmental monitoring; Fuzzy logic; Graphical user interface; Trout farm water quality
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