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Título:
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Statistical approaches for modeling in microbial source tracking
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Autor/a:
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Belanche Muñoz, Luis Antonio; Blanch, Anicet R.
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Otros autores:
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Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics; Universitat Politècnica de Catalunya. SOCO - Soft Computing |
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Abstract:
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Microbial source tracking (MST) concerns the definition of new indicators and appropriate detection methods, the identification of host-specific indicators of fecal pollution, and ultimately the development of useful and reliable predictive models for practical deployment. Optimal predictive models should be designed using proper statistical and computational tools for the analysis of the available data samples. A further requirement is found in the determination of appropriate sets of predictors (indicators, tracers) for developing accurate and low-cost MST solutions. This chapter briefly reviews some of these modeling tools, and their use and feasibility in providing more accurate MST-based results. It also evaluates the potential of established and new algorithmic methods to the identification of fecal pollution sources. |
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Materia(s):
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-Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica
-Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Contaminació de l'aigua
-Water -- Pollution -- Point source identification
-Feces -- Microbiology
-Environmental monitoring
-Predictive models
-Fecal pollution
-Microbial indicators
-Aigua -- Contaminació
-Excrements -- Microbiologia
-Seguiment ambiental |
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Derechos:
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Tipo de documento:
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Artículo - Versión publicada
Capítulo o parte de libro |
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Editor:
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Springer
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Compartir:
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