Koagülasyonla Al(OH)3 kullanarak bor giderimi ve bor madeni atık suyu için verilerin faktoriyel optimizasyonu

Abstract

Bu çalışmada, sentetik çözeltilerden ve bor madeni atık suyundan AlCl3 ile yerinde üretilmiş Al(OH)3 kullanarak bor giderimi araştırılmıştır. Sentetik çözeltiler için deneysel parametre çözelti pH idi. Optimum koşul sentetik çözeltiler için pH (8) olarak belirlenmiştir. Sentetik çözeltilerden elde edilmiş optimum pH değeri 373.19 mg/L konsantrasyona sahip kolemanit madeni atık suyuna 21×21 faktöriyel deneysel tasarımla uygulanmıştır. Deneysel tasarımdaki parametreler dozaj (5-10 g) ve seyreltme idi (1-10 kat). Aluminyum hidroksit kolemanit madeni atıksuyundan %100 oranında giderim sağlamıştır. Bunun yanı sıra elde edilen parametreler Pareto kart ve yüzey grafikleri ile optimize edilmiştir. P değerleri bütün deneysel parametreler için % 95 lik güven seviyesinin üzerinde bulunmuştur (p<0.05). Bu sonuç istatistiksel olarak bütün parametrelerin geliştirilen regrasyon modelinde % 95 güven oranında önemli olduğunu göstermiştir.

Keywords

• Bor giderimi,maden atıksuyu,faktöriyel tasarım,aluminyum hidroksit

Boron removal by coagulation using Al(OH)3 and factorial optimization of data for boron mine wastewater

Abstract

In this study, boron removal from synthetic solutions and boron mine wastewater by coagulation method using in-situ formed Al(OH)3 from AlCl3 salt was investigated. The experimental parameter for synthetic solution was solution pH. The optimum condition for synthetic boron solutions was determined as pH (8). The ideal pH value obtained from the synthetic solutions was applied to the boron mine wastewater with concentration of 373.19 mg L-1 by 21×21 full factorial experimental design. The parameters in the design were dosage of aluminium chloride (5, 10 g) and dilution factor (1,10 fold). The aluminium hydroxide provided maximum 100% removal from mine wastewater at optimum conditions. Also, the data obtained were analyzed by means of Pareto chart and surface plot. P values for all the parameters were found as above 95% confidence limit value (p<0.05). These means that all the parameters are statistically important at 95% confidence level in the developed regression model.

Keywords

• Boron removal,mine wastewater,factorial design,aluminium hydroxide

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