Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/25542
Título: | pH, electric conductivity and sulfate as base parameters to estimate the concentration of metals in AMD using a fuzzy inference system |
Autor(es): | Valente, Teresa Maria Fernandes Ferreira, M. J. Grande, J. A. De la Torre, M. L. Borrego, J. |
Palavras-chave: | Acid mine drainage System modeling Fuzzy logic ANFIS Cobica river Spain |
Data: | 2013 |
Editora: | Elsevier 1 |
Revista: | Journal of Geochemical Exploration |
Resumo(s): | An adaptive neuro-fuzzy inference system (ANFIS) was developed to model an acid mine drainage (AMD) affected river. The inference system uses three AMD relatively expeditious indicators (pH, electric conductivity and sulfate) and gives, as response, concentration values for Fe, Mn, Cu, Zn, Cd, and As. It was based on a large database, which resulted from monitoring an AMD stream located in the Iberian Pyrite Belt (Chorrito stream, which flows into the Cobica River, SW Spain). The results indicate a high correlation between the analyzed values and the concentrations obtained by fuzzy estimation. Therefore, this modeling approach afforded a simple and cost-effective system capable of monitoring the affected river, since it avoids or simplifies the analyses of the most expensive and time consuming chemical parameters. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/25542 |
DOI: | 10.1016/j.gexplo.2012.07.013 |
ISSN: | 0375-6742 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals CIG-R - Artigos (Papers) |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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TValente_etal_JournalOfGeochemicalExploration_2013.pdf Acesso restrito! | 728,49 kB | Adobe PDF | Ver/Abrir |