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İçme suyundan elektrokoagülasyon prosesi ile doğal organik madde giderimi

Authors: ÖZYONAR, Fuat; KARAGÖZOĞLU, Bünyamin; ATMACA, Eyüp;

İçme suyundan elektrokoagülasyon prosesi ile doğal organik madde giderimi

Abstract

In this study, the treatability of natural organic matter (NOM) from drinking water by EC process was investigated. For this purpose, raw water samples were taken from the influent of Sivas Water Treatment Plant which is treating the water of Sivas 4 Eylül Dam. Dissolved organic carbon (DOC) and UV254 parameters were considered for the evaluation of treatment performance. The effects of various operating parameters such as initial pH, current density and electrolysis time on DOC and UV254 reduction were examined in an EC reactor using monopolar parallel connected aluminum and iron electrodes. The optimum values of initial pH, current density and electrolysis time for the EC process using aluminum electrode were found to be 5, 20 A/m2 and 20 min, respectively. Under these conditions, removal efficiencies for DOC and UV254 were obtained as 78% and 94.5%, respectively. In the case of iron electrode, removal efficiencies of DOC and UV254 were 65.4% and 80.3%, respectively under the optimum operating conditions which were found to be pH: 6, current density: 20 A/m2 and electrolysis time: 20 min. Besides, economical evaluation of the EC process was also made through calculating operating costs in terms of energy and electrode (aluminum and iron) consumptions. As a result, EC process was proved to be an effective treatment method for the removal of NOM from drinking water.

Bu çalışmada içme sularından doğal organik maddelerin (DOM) Elektrokoagülasyon (EC) prosesiyle arıtılabilirliliği incelenmiştir. Bu amaçla Sivas 4 Eylül Barajının sularının arıtıldığı, Sivas içme suyu arıtma tesisi girişinden ham su numuneleri alınmıştır. Arıtma verimliliğinin ölçülmesinde çözünmüş organik karbon (ÇOK) ve UV254 absorbans parametreleri dikkate alınmıştır. Demir ve alüminyum elektrotların monopolar paralel bağlı kullanıldığı EC reaktöründe ÇOK ve UV254 absorbans giderimi üzerine; başlangıç pH, akım yoğunluğu ve elektroliz süresi gibi işletme parametrelerinin etkisi incelenmiştir. Alüminyum elektrotlarının kullanıldığı EC prosesinde başlangıç pH, akım yoğunluğu ve elektroliz süresinin optimum değerleri sırasıyla; 5, 20 A/m2 ve 20 dakika olarak bulunmuştur. Bu koşullar altında, ÇOK ve UV254 giderme verimleri sırasıyla; %78 ve %94,5 olarak elde edilmiştir. Demir elektrotları kullanılması durumunda, optimum işletme koşulları başlangıç pH 6, akım yoğunluğu 20 A/m2 ve elektroliz süresi 20 dakika olarak bulunmuştur, bu koşullarda ÇOK ve UV254 giderme verimleri sırasıyla; %65,4 ve % 80,3’tür. Ayrıca enerji ve elektrot (alüminyum ve demir) harcanımları açısından işletme maliyeti hesaplanarak EC prosesinin ekonomik değerlendirilmesi yapılmıştır. Sonuç olarak EC prosesinin içme sularından DOM gideriminde etkili bir proses olduğu ortaya konulmuştur.

Country
Turkey
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Keywords

Doğal organik madde, Electrocoagulation;Natural organic matter;Iron and aluminum electrodes;DOC and UV254removal, Elektrokoagülasyon;Doğal organik madde;Demir ve Alüminyum elektrot;ÇOK ve UV254giderimi, Elektrokoagülasyon, ÇOK ve UV254giderimi, Demir ve Alüminyum elektrot

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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