Water treatment plant prototype with ph control modeled on fuzzy logic for removing arsenic using fe(VI) and fe(III)

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This study proposes a fuzzy control strategy embedded in a Siemens IoT2040 gateway developed for removing inorganic arsenic from synthetic underground water in a treatment plant prototype. The prototype is used to dose a constant flow of Fe(VI) to maintain an oxide-reduction potential to guarantee t...

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Detalles Bibliográficos
Autores: Paredes Larroca, Fabricio Humberto, Saettone Olschewski, Erich Arturo, Quino Favero, Javier, Huamaní, Jimmy Rosales, Castillo Sequera, José Luis
Formato: artículo
Fecha de Publicación:2020
Institución:Universidad de Lima
Repositorio:ULIMA-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ulima.edu.pe:20.500.12724/11851
Enlace del recurso:https://hdl.handle.net/20.500.12724/11851
https://doi.org/10.3390/w12102834
Nivel de acceso:acceso abierto
Materia:Water treatment
Arsenic
Tratamiento de aguas
Arsénico
https://purl.org/pe-repo/ocde/ford#2.11.04
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dc.title.en_EN.fl_str_mv Water treatment plant prototype with ph control modeled on fuzzy logic for removing arsenic using fe(VI) and fe(III)
title Water treatment plant prototype with ph control modeled on fuzzy logic for removing arsenic using fe(VI) and fe(III)
spellingShingle Water treatment plant prototype with ph control modeled on fuzzy logic for removing arsenic using fe(VI) and fe(III)
Paredes Larroca, Fabricio Humberto
Water treatment
Arsenic
Tratamiento de aguas
Arsénico
https://purl.org/pe-repo/ocde/ford#2.11.04
title_short Water treatment plant prototype with ph control modeled on fuzzy logic for removing arsenic using fe(VI) and fe(III)
title_full Water treatment plant prototype with ph control modeled on fuzzy logic for removing arsenic using fe(VI) and fe(III)
title_fullStr Water treatment plant prototype with ph control modeled on fuzzy logic for removing arsenic using fe(VI) and fe(III)
title_full_unstemmed Water treatment plant prototype with ph control modeled on fuzzy logic for removing arsenic using fe(VI) and fe(III)
title_sort Water treatment plant prototype with ph control modeled on fuzzy logic for removing arsenic using fe(VI) and fe(III)
author Paredes Larroca, Fabricio Humberto
author_facet Paredes Larroca, Fabricio Humberto
Saettone Olschewski, Erich Arturo
Quino Favero, Javier
Huamaní, Jimmy Rosales
Castillo Sequera, José Luis
author_role author
author2 Saettone Olschewski, Erich Arturo
Quino Favero, Javier
Huamaní, Jimmy Rosales
Castillo Sequera, José Luis
author2_role author
author
author
author
dc.contributor.other.none.fl_str_mv Paredes Larroca, Fabricio Humberto
Saettone Olschewski, Erich Arturo
Quino Favero, Javier
dc.contributor.author.fl_str_mv Paredes Larroca, Fabricio Humberto
Saettone Olschewski, Erich Arturo
Quino Favero, Javier
Huamaní, Jimmy Rosales
Castillo Sequera, José Luis
dc.subject.en_EN.fl_str_mv Water treatment
Arsenic
topic Water treatment
Arsenic
Tratamiento de aguas
Arsénico
https://purl.org/pe-repo/ocde/ford#2.11.04
dc.subject.es_PE.fl_str_mv Tratamiento de aguas
Arsénico
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.11.04
description This study proposes a fuzzy control strategy embedded in a Siemens IoT2040 gateway developed for removing inorganic arsenic from synthetic underground water in a treatment plant prototype. The prototype is used to dose a constant flow of Fe(VI) to maintain an oxide-reduction potential to guarantee the oxidation of arsenite into arsenate, while the fuzzy logic embedded in the IoT control manages the addition of Fe(III) to achieve a proper pH adjustment and efficient arsenate removal. The tests used synthetic Bangladesh groundwater enriched with 200 µg/L of arsenite and 200 µg/L of arsenate. The results revealed that the plant prototype yielded an effective treatment of the water. Arsenate was decreased to an average value of 6.66 µg/L and, the arsenite concentration decreased to 1.01 µg/L or less. These values were lower than the limit of 10 µg/L deemed by the World Health Organization as safe for human consumption.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-10-27T14:36:31Z
dc.date.available.none.fl_str_mv 2020-10-27T14:36:31Z
dc.date.issued.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.other.none.fl_str_mv Artículo en Scopus
format article
dc.identifier.citation.es_PE.fl_str_mv Larroca, F. P., Olschewski, E. S., Quino-Favero, J., Huamaní, J. R. & Castillo-Sequera, J. L. (2020). Water treatment plant prototype with ph control modeled on fuzzy logic for removing arsenic using fe(VI) and fe(III). Water, 12(10). https://doi.org/10.3390/w12102834
dc.identifier.issn.none.fl_str_mv :2073-4441
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12724/11851
dc.identifier.journal.none.fl_str_mv Water
dc.identifier.isni.none.fl_str_mv 0000000121541816
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3390/w12102834
dc.identifier.scopusid.none.fl_str_mv 2-s2.0-85092735517
identifier_str_mv Larroca, F. P., Olschewski, E. S., Quino-Favero, J., Huamaní, J. R. & Castillo-Sequera, J. L. (2020). Water treatment plant prototype with ph control modeled on fuzzy logic for removing arsenic using fe(VI) and fe(III). Water, 12(10). https://doi.org/10.3390/w12102834
:2073-4441
Water
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url https://hdl.handle.net/20.500.12724/11851
https://doi.org/10.3390/w12102834
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language eng
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dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.publisher.country.none.fl_str_mv CH
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv Repositorio Institucional - Ulima
Universidad de Lima
reponame:ULIMA-Institucional
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instacron_str ULIMA
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spelling Paredes Larroca, Fabricio HumbertoSaettone Olschewski, Erich ArturoQuino Favero, JavierHuamaní, Jimmy RosalesCastillo Sequera, José LuisParedes Larroca, Fabricio HumbertoSaettone Olschewski, Erich ArturoQuino Favero, Javier2020-10-27T14:36:31Z2020-10-27T14:36:31Z2020Larroca, F. P., Olschewski, E. S., Quino-Favero, J., Huamaní, J. R. & Castillo-Sequera, J. L. (2020). Water treatment plant prototype with ph control modeled on fuzzy logic for removing arsenic using fe(VI) and fe(III). Water, 12(10). https://doi.org/10.3390/w12102834:2073-4441https://hdl.handle.net/20.500.12724/11851Water0000000121541816https://doi.org/10.3390/w121028342-s2.0-85092735517This study proposes a fuzzy control strategy embedded in a Siemens IoT2040 gateway developed for removing inorganic arsenic from synthetic underground water in a treatment plant prototype. The prototype is used to dose a constant flow of Fe(VI) to maintain an oxide-reduction potential to guarantee the oxidation of arsenite into arsenate, while the fuzzy logic embedded in the IoT control manages the addition of Fe(III) to achieve a proper pH adjustment and efficient arsenate removal. The tests used synthetic Bangladesh groundwater enriched with 200 µg/L of arsenite and 200 µg/L of arsenate. The results revealed that the plant prototype yielded an effective treatment of the water. Arsenate was decreased to an average value of 6.66 µg/L and, the arsenite concentration decreased to 1.01 µg/L or less. These values were lower than the limit of 10 µg/L deemed by the World Health Organization as safe for human consumption.application/htmlengMultidisciplinary Digital Publishing InstituteCHurn:issn:2073-4441info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/Repositorio Institucional - UlimaUniversidad de Limareponame:ULIMA-Institucionalinstname:Universidad de Limainstacron:ULIMAWater treatmentArsenicTratamiento de aguasArsénicohttps://purl.org/pe-repo/ocde/ford#2.11.04Water treatment plant prototype with ph control modeled on fuzzy logic for removing arsenic using fe(VI) and fe(III)info:eu-repo/semantics/articleArtículo en ScopusParedes Larroca, Fabricio Humberto (Ingeniería Industrial)Saettone Olschewski, Erich Arturo (Ingeniería Industrial)Quino Favero, Javier (Ingeniería Industrial)Paredes Larroca, Fabricio Humberto (Research Group of Technological Solution for the Environment, Faculty of Engineering and Architecture, Universidad de Lima)Saettone Olschewski, Erich Arturo (Research Group of Technological Solution for the Environment, Faculty of Engineering and Architecture, Universidad de Lima)Quino Favero, Javier (Research Group of Technological Solution for the Environment, Faculty of Engineering and Architecture, Universidad de Lima)OICC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81037https://repositorio.ulima.edu.pe/bitstream/20.500.12724/11851/2/license_rdf8fc46f5e71650fd7adee84a69b9163c2MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.ulima.edu.pe/bitstream/20.500.12724/11851/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5320.500.12724/11851oai:repositorio.ulima.edu.pe:20.500.12724/118512025-03-06 19:29:02.718Repositorio Universidad de Limarepositorio@ulima.edu.peTk9URTogUExBQ0UgWU9VUiBPV04gTElDRU5TRSBIRVJFClRoaXMgc2FtcGxlIGxpY2Vuc2UgaXMgcHJvdmlkZWQgZm9yIGluZm9ybWF0aW9uYWwgcHVycG9zZXMgb25seS4KCk5PTi1FWENMVVNJVkUgRElTVFJJQlVUSU9OIExJQ0VOU0UKCkJ5IHNpZ25pbmcgYW5kIHN1Ym1pdHRpbmcgdGhpcyBsaWNlbnNlLCB5b3UgKHRoZSBhdXRob3Iocykgb3IgY29weXJpZ2h0Cm93bmVyKSBncmFudHMgdG8gRFNwYWNlIFVuaXZlcnNpdHkgKERTVSkgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgdG8gcmVwcm9kdWNlLAp0cmFuc2xhdGUgKGFzIGRlZmluZWQgYmVsb3cpLCBhbmQvb3IgZGlzdHJpYnV0ZSB5b3VyIHN1Ym1pc3Npb24gKGluY2x1ZGluZwp0aGUgYWJzdHJhY3QpIHdvcmxkd2lkZSBpbiBwcmludCBhbmQgZWxlY3Ryb25pYyBmb3JtYXQgYW5kIGluIGFueSBtZWRpdW0sCmluY2x1ZGluZyBidXQgbm90IGxpbWl0ZWQgdG8gYXVkaW8gb3IgdmlkZW8uCgpZb3UgYWdyZWUgdGhhdCBEU1UgbWF5LCB3aXRob3V0IGNoYW5naW5nIHRoZSBjb250ZW50LCB0cmFuc2xhdGUgdGhlCnN1Ym1pc3Npb24gdG8gYW55IG1lZGl1bSBvciBmb3JtYXQgZm9yIHRoZSBwdXJwb3NlIG9mIHByZXNlcnZhdGlvbi4KCllvdSBhbHNvIGFncmVlIHRoYXQgRFNVIG1heSBrZWVwIG1vcmUgdGhhbiBvbmUgY29weSBvZiB0aGlzIHN1Ym1pc3Npb24gZm9yCnB1cnBvc2VzIG9mIHNlY3VyaXR5LCBiYWNrLXVwIGFuZCBwcmVzZXJ2YXRpb24uCgpZb3UgcmVwcmVzZW50IHRoYXQgdGhlIHN1Ym1pc3Npb24gaXMgeW91ciBvcmlnaW5hbCB3b3JrLCBhbmQgdGhhdCB5b3UgaGF2ZQp0aGUgcmlnaHQgdG8gZ3JhbnQgdGhlIHJpZ2h0cyBjb250YWluZWQgaW4gdGhpcyBsaWNlbnNlLiBZb3UgYWxzbyByZXByZXNlbnQKdGhhdCB5b3VyIHN1Ym1pc3Npb24gZG9lcyBub3QsIHRvIHRoZSBiZXN0IG9mIHlvdXIga25vd2xlZGdlLCBpbmZyaW5nZSB1cG9uCmFueW9uZSdzIGNvcHlyaWdodC4KCklmIHRoZSBzdWJtaXNzaW9uIGNvbnRhaW5zIG1hdGVyaWFsIGZvciB3aGljaCB5b3UgZG8gbm90IGhvbGQgY29weXJpZ2h0LAp5b3UgcmVwcmVzZW50IHRoYXQgeW91IGhhdmUgb2J0YWluZWQgdGhlIHVucmVzdHJpY3RlZCBwZXJtaXNzaW9uIG9mIHRoZQpjb3B5cmlnaHQgb3duZXIgdG8gZ3JhbnQgRFNVIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdApzdWNoIHRoaXJkLXBhcnR5IG93bmVkIG1hdGVyaWFsIGlzIGNsZWFybHkgaWRlbnRpZmllZCBhbmQgYWNrbm93bGVkZ2VkCndpdGhpbiB0aGUgdGV4dCBvciBjb250ZW50IG9mIHRoZSBzdWJtaXNzaW9uLgoKSUYgVEhFIFNVQk1JU1NJT04gSVMgQkFTRUQgVVBPTiBXT1JLIFRIQVQgSEFTIEJFRU4gU1BPTlNPUkVEIE9SIFNVUFBPUlRFRApCWSBBTiBBR0VOQ1kgT1IgT1JHQU5JWkFUSU9OIE9USEVSIFRIQU4gRFNVLCBZT1UgUkVQUkVTRU5UIFRIQVQgWU9VIEhBVkUKRlVMRklMTEVEIEFOWSBSSUdIVCBPRiBSRVZJRVcgT1IgT1RIRVIgT0JMSUdBVElPTlMgUkVRVUlSRUQgQlkgU1VDSApDT05UUkFDVCBPUiBBR1JFRU1FTlQuCgpEU1Ugd2lsbCBjbGVhcmx5IGlkZW50aWZ5IHlvdXIgbmFtZShzKSBhcyB0aGUgYXV0aG9yKHMpIG9yIG93bmVyKHMpIG9mIHRoZQpzdWJtaXNzaW9uLCBhbmQgd2lsbCBub3QgbWFrZSBhbnkgYWx0ZXJhdGlvbiwgb3RoZXIgdGhhbiBhcyBhbGxvd2VkIGJ5IHRoaXMKbGljZW5zZSwgdG8geW91ciBzdWJtaXNzaW9uLgo=
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