M. A. M. Soares, G. M. L. Silva, L. B. D. Lima, F. B. Oliveira, S. G. Paiva, M. G. Paulino, J. C. Ribeiro Júnior, S. E. Moron
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引用次数: 0
Abstract
Water systems globally are declining in water quality, largely due to anthropogenic activities, with freshwater contamination reaching unprecedented levels. The Brazilian Legal Amazon (BLA), holding 13.56% of the world’s fresh water, is affected due to the lack of basic sanitation. This study assesses the quality of the Lontra River, in southeastern BLA, by monitoring physicochemical and microbiological parameters and detecting DEC E. coli and Salmonella spp. over 16 months, following current regulations. The data were analyzed using Pearson’s chi-square and Fisher’s exact test (p ≤ 0.05), Kruskal–Wallis test (p ≤ 0.05), with Tukey post hoc (α = 0.05), and Spearman’s correlation (p ≤ 0.05). Results showed pH levels were below the optimal range established by Brazilian water quality indices and legislation, with seasonal variations, and dissolved oxygen also below acceptable limits. Thermotolerant coliforms (TtC) exceeded thresholds, signaling microbiological contamination. DEC E. coli and Salmonella spp. were detected in 32.14% and 67.85% of samples, respectively, even in those with low TtC levels. No correlation was found between TtC and pathogen presence, suggesting that meeting minimum water quality standards does not guarantee the absence of pathogenic microorganisms. These findings reveal significant environmental and public health risks related to surface water quality in the Lontra River. Also highlight discrepancies between regulatory water quality standards and the actual conditions observed, underscoring the need for regionally adapted water monitoring and management practices to protect both environmental and public health in the BLA.
期刊介绍:
Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.