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Design and development of low cost smart turbidity sensor for water quality monitoring in fish farms

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Design and development of low cost smart turbidity sensor for water quality monitoring in fish farms

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dc.contributor.author Parra-Boronat, Lorena es_ES
dc.contributor.author Rocher-Morant, Javier es_ES
dc.contributor.author Escrivá-Perales, Julia es_ES
dc.contributor.author Lloret, Jaime es_ES
dc.date.accessioned 2019-01-20T21:03:59Z
dc.date.available 2019-01-20T21:03:59Z
dc.date.issued 2018 es_ES
dc.identifier.issn 0144-8609 es_ES
dc.identifier.uri http://hdl.handle.net/10251/115874
dc.description.abstract [EN] Turbidity monitoring is necessary in many cases and several sensors have been developed for this purpose. However, in some cases to quantify the turbidity it is not enough and its characterization is necessary. In fish farms, the increase of sedimentary or phytoplanktonic turbidity requires different actions to prevent further damages. For this reason, a sensor able to differentiate between turbidity sources is necessary. In this paper, a turbidity sensor able to distinguish different types of turbidity is designed, developed and calibrated. The sensor is based on the Beer-Lambert law and it uses four LEDs as light sources with different wavelengths. The sensing elements are located at 180° of the light sources and consist of a photodiode and a photoresistor, sensitive to infrared and visible wavelengths respectively. For the calibration process different turbidity sources were employed, Isochrysis galbana, Tetraselmis chuii and sediment. The results show that it is possible to determine the turbidity using the infrared light and to characterize the origin of that turbidity with the red light. An algorithm was created in order to create a method to process the data from each sample to obtain the turbidity, the origin of this turbidity and the concentration of the turbidity source. With this algorithm, we can create a smart turbidity sensor for water quality monitoring. Our main application is focused on monitoring the water input in fish farm facilities; however, this smart sensor will be useful in many other areas. es_ES
dc.description.sponsorship This work has been partially supported by the "Ministerio de Educacion, Cultura y Deporte", through the "Ayudas para contratos predoctorales de Formacion del Profesorado Universitario FPU (Convocatoria 2014)". Grant number FPU14/02953. This work has been partially supported by the "Conselleria de Educacion, Investigacion, Cultura y Deporte", through the "Subvenciones para la contratacion de personal investigador de caracter (Convocatoria 2017)".Grant number ACIF/2017/069. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation GENERALITAT VALENCIANA/ACIF/2017/069 es_ES
dc.relation MECYD/AP2014/02953 es_ES
dc.relation.ispartof Aquacultural Engineering es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Turbidity sensor es_ES
dc.subject Phytoplankton es_ES
dc.subject Suspended sediment es_ES
dc.subject Water quality es_ES
dc.subject Fish farms es_ES
dc.subject.classification INGENIERIA TELEMATICA es_ES
dc.subject.classification TECNOLOGIA DEL MEDIO AMBIENTE es_ES
dc.title Design and development of low cost smart turbidity sensor for water quality monitoring in fish farms es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.aquaeng.2018.01.004 es_ES
dc.rights.accessRights Embargado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.description.bibliographicCitation Parra-Boronat, L.; Rocher-Morant, J.; Escrivá-Perales, J.; Lloret, J. (2018). Design and development of low cost smart turbidity sensor for water quality monitoring in fish farms. Aquacultural Engineering. 81:10-18. doi:10.1016/j.aquaeng.2018.01.004 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.aquaeng.2018.01.004 es_ES
dc.description.upvformatpinicio 10 es_ES
dc.description.upvformatpfin 18 es_ES
dc.type.version info:eu repo/semantics/publishedVersion es_ES
dc.description.volume 81 es_ES
dc.relation.pasarela 355232 es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES
dc.contributor.funder MINISTERIO DE EDUCACION es_ES


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