Modelo de predição de desempenho de estações de tratamento de água de pequenoporte usando redes neurais artificiais

Content Provider	Semantic Scholar
Author	Henriques, Juscelino Alves Libânio, Marcelo Costa, Veber Afonso Figueiredo Oliveira, Mariângela Dutra De
Copyright Year	2019
Abstract	The water treatment plants (WTP) have a fundamental and strategic role in the control of waterborne diseases through the potabilization of water, to meet the needs of the population that is supplied by it. In this context, evaluating the performance of these stations is paramount, particularly for the entities responsible for the water quality control stage, since WTP must present and operate with minimum conditions necessary to achieve its objective. For the development of the models (Model 1 based on turbidity of treated water and Model 2 based on the apparent color of the treated water) data were used referring to raw and treated water quality, operational factors and hydraulic parameters of 3 WTPs, with flow rates of 50 L.s or less. The models were developed using ARTIGO ORIGINAL
Starting Page	87
Ending Page	100
Page Count	14
File Format	PDF HTM / HTML
DOI	10.36659/dae.2020.008
Volume Number	221
Alternate Webpage(s)	http://revistadae.com.br/artigos/artigo_edicao_221_n_1833.pdf
Alternate Webpage(s)	https://doi.org/10.36659/dae.2020.008
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article