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- Title
Use of neural networks for monitoring surface water quality changes in a neotropical urban stream.
- Authors
Oliveira Souza da Costa, Andréa; Ferreira Silva, Priscila; Godoy Sabará, Millôr; Ferreira da Costa, Esly
- Abstract
This paper reports the using of neural networks for water quality analysis in a tropical urban stream before (2002) and after sewerage building and the completion of point-source control-based sanitation program (2003). Mathematical modeling divided water quality data in two categories: (a) input of some in situ water quality variables (temperature, pH, O2 concentration, O2 saturation and electrical conductivity) and (b) water chemical composition (N–NO $_{2}^{-}$; N–NO $_{3}^{-}$; N–NH $_{4}^{+}$, Total-N; P–PO $_{4}^{3-}$; K + ; Ca2 + ; Mg + 2; Cu2 + ; Zn2 + and Fe + 3) as the output from tested models. Stream water data come from fortnightly sampling in five points along the Ipanema stream (Southeast Brazil, Minas Gerais state) plus two points downstream and upstream Ipanema discharge into Doce River. Once the best models are consistent with variables behavior we suggest that neural networking shows potential as a methodology to enhance guidelines for urban streams restoration, conservation and management.
- Subjects
ARTIFICIAL neural networks; WATER pollution; WATER quality; SANITARY engineering; UNDERGROUND utility lines; PROPYLENE oxide; RIVERS; HOUSE drainage; WATER quality management
- Publication
Environmental Monitoring & Assessment, 2009, Vol 155, Issue 1-4, p527
- ISSN
0167-6369
- Publication type
Article
- DOI
10.1007/s10661-008-0453-9