Water treatment plant prototype with pH control modeled on fuzzy logic for removing arsenic using Fe(VI) and Fe(III)
Autores
Castillo Sequera, José Luis; Paredes Larroca, Fabricio; Saettone Olschewski, Erich; Quino Favero, Javier; Rosales Huamaní, Jimmy AurelioIdentificadores
Enlace permanente (URI): http://hdl.handle.net/10017/44912DOI: 10.3390/w12102834
ISSN: 2073-4441
Editor
MDPI
Fecha de publicación
2020-10-12Patrocinadores
IDIC-Universidad de Lima
Cita bibliográfica
Larroca, F.P.; Olschewski, E.S.; Quino-Favero, J.; Huamaní, J.R.; Castillo Sequera, J.L. Water Treatment Plant Prototype with pH Control Modeled on Fuzzy Logic for Removing Arsenic Using Fe(VI) and Fe(III). Water 2020, 12, 2834.
Palabras clave
Fuzzy logic
IoT control
Arsenite
Arsenate
Ferrate (VI)
Ferric chloride
Proyectos
PI-560082019 awarded (IDIC-Universidad de Lima)
Tipo de documento
info:eu-repo/semantics/article
Versión
info:eu-repo/semantics/publishedVersion
Versión del editor
https://doi.org/10.3390/w12102834Derechos
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Derechos de acceso
info:eu-repo/semantics/openAccess
Resumen
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.
Ficheros en el ítem
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Water_Paredes_Water_2020.pdf | 2.983Mb |
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Water_Paredes_Water_2020.pdf | 2.983Mb |
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- CCOMPUT - Artículos [86]