Mathematical modelling as a management tool for water quality control of the tropical Beberibe estuary, NE Brazil

Ribeiro, Cesar H. A.; Araujo, Moacyr

doi:10.1007/978-94-017-2464-7_20

Cited by 4 publications

(5 citation statements)

References 3 publications

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“…However, enteric viruses are still detected in shellfish (Le Guyader et al1 998; and have been implicated in shellfish-borne outbreaksa fter oyster consumption, in somec ases with the shellfish meeting European Union (EU) bacteriological standards (Gill et al1983;Dowell et al1 995;Otsu 1999 In order to evaluatea nd/or to predict the impact of such microbial contamination in bathing or shellfish-harvesting areas, modelling tools have been developed. They are mainlyd edicated to faecal microbial indicatorss uch as faecal coliforms (FC) (Roberts and Williams 1992;Ribeiro and Araujo 2002), E. coli (Tattersall et al2 003; Armisen et al2 006), enterococci (Bell et al1992) or F-RNA-specific bacteriophages and astrovirus (Riou et al2007).…”

Section: Discussionmentioning

confidence: 99%

Safe Management of Shellfish and Harvest Waters

Rees¹

2013

wio

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The World Health Organization wishes to express its appreciation to all those whose efforts madethe production of this monographpossible. An international group of experts met in Kuala Lumpa, Malaysia and from that meeting provided the material for the book and undertook ap rocess of mutual review.W hile authorship of individual chaptersi sn otedb elow, the quality of the volume as aw hole is due in large part to the review and comments provided by many individuals. Intellectual input and review by the following individuals is gratefully acknowledged:

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Section: Discussionmentioning

confidence: 99%

Safe Management of Shellfish and Harvest Waters

Rees¹

2013

wio

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“…Water quality models provide a significant tool for a better understanding of the complex processes that occur in lakes and reservoirs (Ribeiro & Araújo 2002; Huang & Liu 2008). Several modelling efforts for these types of systems, however, do not consider whether it is necessary to prove or not that the water quality data is linked to the hydrologic and climatic features of the systems.…”

Section: Introductionmentioning

confidence: 99%

Statistical assessment of water quality seasonality in large tropical reservoirs

et al. 2009

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A statistical assessment was used to assess if a tropical reservoir had reached a stable condition, permitting the use of water quality models to predict the water quality dynamics of a water system under different climatic or management scenarios. This approach was applied to Aguamilpa Reservoir in western Mexico, one of the largest tropical reservoirs in the world. Water quality data collected by the National Water Commission, and hydrological and climatic data from the Federal Electricity Commission from the period of January 2000 to December 2007 served as the data base. Time-series analysis identified three distinct homogeneous seasonal groups: (i) warm dry season, (ii) rainy season and (iii) cold dry season. The seasonal responses of water quality parameters (temperature, electrical conductivity, total suspended solids concentration, biochemical oxygen demand and total coliforms) were demonstrated through analysis of variance of the principal components.

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“…Na atualidade, muitas pessoas habitam regiões situadas nas proximidades de córregos e Áreas de Preservação Permanente (APP), promovendo grande impacto ambiental através de ações que deterioram a qualidade da água, principalmente com o descarte de esgotos domésticos sem tratamento prévio (RIBEIRO; ARAÚJO, 2002). Diante disso, muitas tecnologias e programas computacionais surgem como alternativa à resolução dos problemas ambientais (ZHANG et al, 2012), com o objetivo de expressar matematicamente diferentes bioprocessos envolvidos na biodegradação de águas residuais.…”

Section: Introductionunclassified

Especificidades E Importância De Modelos Matemáticos De Qualidade Da Água

Fleck

Tavares

Eyng

2013

EIXO

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Resumo: Como alternativa aos impactos ambientais provenientes do desenvolvimento econômico várias ferramentas de apoio a gestão pública vêm sendo desenvolvidas, onde os modelos matemáticos de qualidade da água merecem especial destaque por apresentarem ampla aplicação no processo de gerenciamento da qualidade dos recursos hídricos. Neste sentido, o presente trabalho tem como objetivo apresentar uma revisão bibliográfica acerca dos principais fatores relacionados à modelagem matemática da qualidade da água de rios. Ao criar um modelo matemático algumas etapas devem ser consideradas para que as informações geradas sejam confiáveis. Dentre as principais etapas, o processo de calibração e validação do modelo se destaca, pois nessas etapas o modelo é confrontado com os dados experimentais e o poder preditivo do mesmo é confirmado. Em geral, a modelagem matemática quando corretamente utilizada por profissionais capacitados, engloba processos químicos, físicos e biológicos de forma simples e eficiente, justificando assim seu uso no controle da qualidade dos recursos hídricos. Palavras-chave:

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Mathematical modelling as a management tool for water quality control of the tropical Beberibe estuary, NE Brazil

Cited by 4 publications

References 3 publications

Safe Management of Shellfish and Harvest Waters

Safe Management of Shellfish and Harvest Waters

Statistical assessment of water quality seasonality in large tropical reservoirs

Especificidades E Importância De Modelos Matemáticos De Qualidade Da Água

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