AI Summary & Key Takeaways
AI InsightAs a result, according to the account of fuzzy logic between measured parameters of Apa Dam Lake we can see that the homogeneity achieved and by calculation based on achieved an annual quality index of the output values, the quality index is 66% quality, 34% is a in very high quality class
📌 3 Key Takeaways
Abstract
Heavy metal pollution is among the biggest problems today. Conventional methods used to determine these impurities and upper and lower separation limit tables included in these methods. The results obtained by these statements are of equal importance when evaluating the whether near or far. Thus, each of the statements contained in quality parameter takes place in one of four classes. In this study, heavy metal pollution control of Apa Dam Lake, is used as an model index of water quality classification with classical methods as well as assessment made by fuzzy logic. During the study water samples were taken from detected five stations every month, and the resulting values (minimum, maximum, average); Al (0-0.251-0.018), Cu (3.972-21.165-9.84 μg/l), Zn (101-297-174 μg/l), Fe (121-955-463 μg/l), Cd (0 μg/l), Co (0-13-0.64 μg/l), Cr (0-25-1.708 μg/l), Pb (0-15-3.36 μg/l), Mn (40-685-240.53 μg/l) and Ni (0-58-28.46 μg/l) is presented in this form. In the interpretation of the results the fuzzy logic of the assessment method is used, considering average found values. As a result, according to the account of fuzzy logic between measured parameters of Apa Dam Lake we can see that the homogeneity achieved and by calculation based on achieved an annual quality index of the output values, the quality index is 66% quality, 34% is a in very high quality class