Application of Cu/Mg/Al-chitosan-O(3) system for landfill leachate treatment: Experimental and economic evaluation data

Landfill leachate contains heavy organic pollutants, which pollute ground and surface waters. This dataset applied a newly-introduced catalyst, Cu/Mg/Al-chitosan, for a landfill leachate treatment during a catalytic oxidation. The data of chemical oxygen demand (COD) and colour removal from the leac...

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Autores principales: Vakilabadi, Dariush Ranjbar, Ramavandi, Bahman, Hassani, Amir Hessam, Omrani, Ghasemali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Chemical Engineering
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537446/
https://www.ncbi.nlm.nih.gov/pubmed/28795097
http://dx.doi.org/10.1016/j.dib.2017.07.063
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author Vakilabadi, Dariush Ranjbar
Ramavandi, Bahman
Hassani, Amir Hessam
Omrani, Ghasemali
author_facet Vakilabadi, Dariush Ranjbar
Ramavandi, Bahman
Hassani, Amir Hessam
Omrani, Ghasemali
author_sort Vakilabadi, Dariush Ranjbar
collection PubMed
description Landfill leachate contains heavy organic pollutants, which pollute ground and surface waters. This dataset applied a newly-introduced catalyst, Cu/Mg/Al-chitosan, for a landfill leachate treatment during a catalytic oxidation. The data of chemical oxygen demand (COD) and colour removal from the leachate was reported as a function of reaction time (20–460 min). Economic evaluation data of the Cu/Mg/Al-chitosan-O(3) system showed that the current cost of the system for treating each m(3) leachate is US$ 18 and for catalyst synthesis is US$ 54.5. Data could be useful from environmental and economic perspectives to those concerned about landfill leachate threats.
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spelling pubmed-55374462017-08-09 Application of Cu/Mg/Al-chitosan-O(3) system for landfill leachate treatment: Experimental and economic evaluation data Vakilabadi, Dariush Ranjbar Ramavandi, Bahman Hassani, Amir Hessam Omrani, Ghasemali Data Brief Chemical Engineering Landfill leachate contains heavy organic pollutants, which pollute ground and surface waters. This dataset applied a newly-introduced catalyst, Cu/Mg/Al-chitosan, for a landfill leachate treatment during a catalytic oxidation. The data of chemical oxygen demand (COD) and colour removal from the leachate was reported as a function of reaction time (20–460 min). Economic evaluation data of the Cu/Mg/Al-chitosan-O(3) system showed that the current cost of the system for treating each m(3) leachate is US$ 18 and for catalyst synthesis is US$ 54.5. Data could be useful from environmental and economic perspectives to those concerned about landfill leachate threats. Elsevier 2017-07-27 /pmc/articles/PMC5537446/ /pubmed/28795097 http://dx.doi.org/10.1016/j.dib.2017.07.063 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Chemical Engineering
Vakilabadi, Dariush Ranjbar
Ramavandi, Bahman
Hassani, Amir Hessam
Omrani, Ghasemali
Application of Cu/Mg/Al-chitosan-O(3) system for landfill leachate treatment: Experimental and economic evaluation data
title Application of Cu/Mg/Al-chitosan-O(3) system for landfill leachate treatment: Experimental and economic evaluation data
title_full Application of Cu/Mg/Al-chitosan-O(3) system for landfill leachate treatment: Experimental and economic evaluation data
title_fullStr Application of Cu/Mg/Al-chitosan-O(3) system for landfill leachate treatment: Experimental and economic evaluation data
title_full_unstemmed Application of Cu/Mg/Al-chitosan-O(3) system for landfill leachate treatment: Experimental and economic evaluation data
title_short Application of Cu/Mg/Al-chitosan-O(3) system for landfill leachate treatment: Experimental and economic evaluation data
title_sort application of cu/mg/al-chitosan-o(3) system for landfill leachate treatment: experimental and economic evaluation data
topic Chemical Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537446/
https://www.ncbi.nlm.nih.gov/pubmed/28795097
http://dx.doi.org/10.1016/j.dib.2017.07.063
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