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Assessing biofilm development in drinking water distribution systems by Machine Learning methods

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Assessing biofilm development in drinking water distribution systems by Machine Learning methods

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Ramos Martínez, E. (2016). Assessing biofilm development in drinking water distribution systems by Machine Learning methods [Tesis doctoral no publicada]. Universitat Politècnica de València. doi:10.4995/Thesis/10251/63257.

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/63257

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Title: Assessing biofilm development in drinking water distribution systems by Machine Learning methods
Author:
Director(s): Herrera Fernández, Antonio Manuel Izquierdo Sebastián, Joaquín Pérez García, Rafael
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
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2016-02-05
Issued date:
Abstract:
[EN] One of the main challenges of drinking water utilities is to ensure high quality supply, in particular, in chemical and microbiological terms. However, biofilms invariably develop in all drinking water distribution ...[+]


[ES] Uno de los principales objetivos de las empresas encargadas de la gestión de los sistemas de distribución de agua potable (DWDSs, del inglés Drinking Water Distribution Systems) es asegurar una alta calidad del agua ...[+]


[CAT] Un dels principals reptes dels serveis d'aigua potable és garantir el subministrament d'alta qualitat, en particular, en termes químics i microbiològics. No obstant això, els biofilms desenvolupen invariablement en ...[+]
Subjects: Biofilm, drinking water distribution system, pre-processing, machine learning, random forest
Copyrigths: Reserva de todos los derechos
DOI: 10.4995/Thesis/10251/63257
Type: Tesis doctoral

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