Treatment of rubber wastewater using zinc sulphate as coagulants-data collection on removal efficiency for physicochemical and heavy metal parameters

Abbas F.M. Alkarkhi; Salem S. Abu Amr; Wasin A.A. Alqaraghuli; Yahya Özdemir; Muzafar Zulkifli; M.N. Mahmud

Data in Brief (Feb 2021)

Treatment of rubber wastewater using zinc sulphate as coagulants-data collection on removal efficiency for physicochemical and heavy metal parameters

Abbas F.M. Alkarkhi,
Salem S. Abu Amr,
Wasin A.A. Alqaraghuli,
Yahya Özdemir,
Muzafar Zulkifli,
M.N. Mahmud

Affiliations

Abbas F.M. Alkarkhi: Universiti Kuala Lumpur Business School (UniKL Bis), 50250, Kuala Lumpur, Malaysia; Corresponding authors.
Salem S. Abu Amr: Faculty of Engineering, Department of Environmental Engineering, Karabuk University, 78050, Karabuk, Turkey
Wasin A.A. Alqaraghuli: Skill Education center, PA, A-07-03 Pearl Avenue, Sungai Chua, 43000 Kajang, Selangor, Malaysia.
Yahya Özdemir: Yalova University Safran Campus, Yalova Vocational School, Mehmet Durham street, 77200, No: 87, Center, Yalova, Turkey
Muzafar Zulkifli: Green Chemistry and Sustainability Cluster, University Kuala Lumpur, Branch Campus Malaysian Institute of Chemical and Bioengineering Technology, Taboh Naning, 78000 Alor Gajah, Melaka, Malaysia.; Corresponding authors.
M.N. Mahmud: Green Chemistry and Sustainability Cluster, University Kuala Lumpur, Branch Campus Malaysian Institute of Chemical and Bioengineering Technology, Taboh Naning, 78000 Alor Gajah, Melaka, Malaysia.

Journal volume & issue: Vol. 34
p. 106685

Abstract

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This article provides data regarding the performance of zinc sulphate as a coagulant for treating rubber industry wastewater. The effect of four factors on removal efficiency of nine parameters is investigated, namely: pH, mixing speed, dosage of coagulant (zinc sulphate) and retention time. Response surface methodology was used to investigate the effect of selected variables. The data obtained from face centered composite design (FCCD) were analyzed by using analysis of variance (ANOVA) and regression model to find the optimum operating conditions for the selected factors.

Published in Data in Brief

ISSN: 2352-3409 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Science: Science (General)
Website: http://www.journals.elsevier.com/data-in-brief/

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