Literature DB >> 27031919

Response surface methodology investigation into the interactions between arsenic and humic acid in water during the coagulation process.

Malcolm Alexander Watson1, Aleksandra Tubić2, Jasmina Agbaba2, Jasmina Nikić2, Snežana Maletić2, Jelena Molnar Jazić2, Božo Dalmacija2.   

Abstract

Interactions between arsenic and natural organic matter (NOM) are key limiting factors during the optimisation of drinking water treatment when significant amounts of both must be removed. This work uses Response Surface Methodology (RSM) to investigate how they interact during their simultaneous removal by iron chloride coagulation, using humic acid (HA) as a model NOM substance. Using a three factor Box-Behnken experimental design, As and HA removals were modelled, as well as a combined removal response. ANOVA results showed the significance of the coagulant dose for all three responses. At high initial arsenic concentrations (200μg/l), As removal was significantly hindered by the presence of HA. In contrast, the HA removal response was found to be largely independent of the initial As concentration, with the optimum coagulant dose increasing at increasing HA concentrations. The combined response was similar to the HA removal response, and the interactions evident are most interesting in terms of optimising treatment processes during the preparation of drinking water, highlighting the importance of utilizing RSM for such investigations. The combined response model was successfully validated with two different groundwaters used for drinking water supply in the Republic of Serbia, showing excellent agreement under similar experimental conditions.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Arsenic; Box-Behnken design; Coagulation; Groundwater; Humic acid

Mesh:

Substances:

Year:  2016        PMID: 27031919     DOI: 10.1016/j.jhazmat.2016.03.002

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  3 in total

1.  Modeling and Optimizing the Synthesis of Urea-formaldehyde Fertilizers and Analyses of Factors Affecting these Processes.

Authors:  Yanle Guo; Min Zhang; Zhiguang Liu; Xiaofei Tian; Shugang Zhang; Chenhao Zhao; Hao Lu
Journal:  Sci Rep       Date:  2018-03-14       Impact factor: 4.379

2.  Understanding the effect of temperature and time on protein degree of hydrolysis and lipid oxidation during ensilaging of herring (Clupea harengus) filleting co-products.

Authors:  Mursalin Sajib; Eva Albers; Markus Langeland; Ingrid Undeland
Journal:  Sci Rep       Date:  2020-06-12       Impact factor: 4.379

3.  Response surface methodological (RSM) approach for optimizing the removal of trihalomethanes (THMs) and its precursor's by surfactant modified magnetic nanoadsorbents (sMNP) - An endeavor to diminish probable cancer risk.

Authors:  Minashree Kumari; Sunil Kumar Gupta
Journal:  Sci Rep       Date:  2019-12-04       Impact factor: 4.379

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.