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

Mustafa Korkmaz | Zendy; Cengiz Özmetin | Zendy; Elif ÖZMETİN | Zendy; Öznur ZİYANAK | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Mustafa Korkmaz,

Cengiz Özmetin,

Elif ÖZMETİN,

Öznur ZİYANAK

Publication year - 2020

Publication title -

balıkesir üniversitesi fen bilimleri enstitüsü dergisi

Language(s) - English

Resource type - Journals

eISSN - 2536-5142

pISSN - 1301-7985

DOI - 10.25092/baunfbed.755065

Subject(s) - boron , wastewater , factorial experiment , pareto chart , aluminium , response surface methodology , dilution , coagulation , chemistry , hydroxide , pulp and paper industry , nuclear chemistry , chromatography , environmental engineering , mathematics , inorganic chemistry , environmental science , pareto principle , organic chemistry , psychology , mathematical optimization , statistics , physics , psychiatry , engineering , thermodynamics

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research