Multivariate statistical analysis of surface water quality in the capibaribe river (Pernambuco state, Northeast Brazil): Contributions to water management.

Assessing the quality of surface waters is essential for identifying changes in freshwater ecosystems and supporting the planning/proposing of measures to mitigate polluting sources. However, many studies involving the identification of pathogenic bacteria and/or their resistance profile to antimicrobial agents need a more holistic approach to conditioning or modulating factors. Thus, we apply different multivariate statistical techniques to the data set from the Capibaribe River's surface water, one of the most important in the Northeast of Brazil.

Using structural equation modeling to assess the genotoxic and mutagenic effects of heavy metal contamination in the freshwater ecosystems: A study involving Oreochromis niloticus in an urban river.

Chemical pollutants represent a leading problem for aquatic ecosystems, as they can induce genetic, biochemical, and physiological changes in the species of these ecosystems, thus compromising their adaptability and survival. The Capibaribe River runs through the state of Pernambuco, located in Northeastern Brazil, and passes through areas of agricultural cultivation, densely populated cities, and industrial centers, primarily textiles. Despite its importance, few ecotoxicological studies have been conducted on its environment, and knowledge about pollution patterns and their effects on its biota is still being determined.