Specificities and importance of mathematical models of water quality

Authors

DOI:

https://doi.org/10.19123/REixo.v2.n1.03


Keywords:

Mathematical Modeling, Water Resources, Public Management

Abstract

As an alternative to mitigating the environmental impacts resulting from economic development, several tools have been developed to support public management. Among these, water quality mathematical models stand out due to their wide applicability in the management and control of water resources. In this context, this paper presents a literature review of the main factors related to the mathematical modeling of river water quality. The development of a mathematical model requires the consideration of several steps to ensure that the generated information is reliable. Among the most important stages, model calibration and validation deserve special attention, since these procedures allow the model to be compared with experimental data and its predictive capability to be verified. In general, when properly applied by qualified professionals, mathematical modeling enables the integration of chemical, physical, and biological processes in a simple and efficient manner, thereby justifying its use as a valuable tool for water resource quality management.

Author Biographies

  • Maria Hermínia Ferreira Tavares, Universidade Estadual do Oeste do Paraná (UNIOESTE/Cascavel)

    Doutora em Física pela Universidade de São Paulo (USP)

  • Eduardo Eyng, Doutor em Engenharia Química pela Universi dade EstUniversidade Tecnológica Federal do Paraná (UTFPR/Medianeira)

    Doutor em Engenharia Química pela Universidade Estadual de Campinas (UNICAMP)

References

ABAURREA, Jesús; ASÍN, Jesús; CEBRIÁN, Ana. C; GARCIA-VERA, Miguel. A. Trend analysis of water quality series based on regression models with correlated errors. Journal of Hydrology. v. 400, n.3-4, p.341-352, nov. 2011.

ANI, Elisabeta. Cristina; WALLIS, Steve; KRASLAWSKI, Andrzej; AGACHI, Paul Serban. Development, calibration and evaluation of two mathematical models for pollutant transport in a small river. Environmental Modelling & Software. v.24, n.1, p.1139-1152, out. 2009.

ARHONDITSIS, George; ADAMS, Barbara; NIELSEN, Leah; STOW, Craig; RECKHOW, Kenneth. Evaluation of the Current State of Mechanistic Aquatic Biogeochemical Modeling: Citation Analysis and Future Perspectives. Environmental Science Technology. v.40, n.1, p.6547-6554, set. 2006.

AUGUSTO, F. B; BAMIGBOLA, O. M. Numerical treatment of the mathematical models for water pollution. Journal of Mathematics and Statistics. v.3, n.4, p.172-180, 2007.

BORSUK, Mark; STOW, Craig; RECKHOW, Kenneth. Ecological Modelling. v. 173, n.1, p.219-239, abr. 2003.

COSTA, Daniel Jadyr Leite; TEIXEIRA, Denilson. Análise de incerteza em um modelo matemático de qualidade da água aplicado ao Ribeirão do Ouro, Araraquara, SP, Brasil. Revista Ambiente e Água. v.6, n.2, p.232-245, 2011.COX, B. A. A review of currently available in-stream water-quality models and their applicability for simulating dissolved oxygen in lowland rivers. Science of The TotalEnvironment. v.314-316, n.1, p.335-377, out. 2003.

Published

2013-08-23

Issue

Section

Ciências Exatas e da Terra

Categories

How to Cite

FLECK, Leandro; TAVARES, Maria Hermínia Ferreira; EYNG, Eduardo. Specificities and importance of mathematical models of water quality. Revista Eixo, Brasília, v. 2, n. 1, 2013. DOI: 10.19123/REixo.v2.n1.03. Disponível em: https://revistaeixo.ifb.edu.br/index.php/revistaeixo/article/view/586.. Acesso em: 3 nov. 2026.

Similar Articles

1-10 of 36

You may also start an advanced similarity search for this article.