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

被引:0
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作者
Silva, Jaqueline dos Santos [1 ]
de Araujo, Livia Caroline Alexandre [1 ]
Vasconcelos, Milena Danda [1 ]
da Silva, Iago Jose Santos [2 ]
Motteran, Fabricio [2 ]
Rodrigues, Rosner Henrique Alves [3 ]
Mendes-Marques, Carina Lucena [3 ]
Alves, Rayanna Barroso de Oliveira [3 ]
da Silva, Hernande Pereira [3 ]
Barros, Maria Paloma [4 ]
da Silva, Sivoneide Maria [1 ]
Malafaia, Guilherme [5 ,6 ,7 ,8 ]
dos Santos, Carlos Alonso Leite [9 ]
Coutinho, Henrique Douglas Melo [10 ]
de Oliveira, Maria Betania Melo [1 ]
机构
[1] Univ Fed Pernambuco, Dept Biochem, Recife, Brazil
[2] Univ Fed Pernambuco, Dept Civil & Environm Engn, Recife, Brazil
[3] Univ Fed Pernambuco, Dept Vet Med, Lab Parasitary Dis, Recife, Brazil
[4] Minist Sci & Technol, Northeast Strateg Technol Ctr CETENE, Brasilia, Brazil
[5] Goiano Fed Inst, Postgrad Program Conservat Cerrado Nat Resources, Goiania, Brazil
[6] Univ Fed Uberlandia, Postgrad Program Ecol Conservat & Biodivers, Uberlandia, Brazil
[7] Univ Fed Goias, Postgrad Program Biotechnol & Biodivers, Goiania, Brazil
[8] Goiano Fed Inst, Lab Toxicol Appl Environm, Urutai Campus, Goiania, Brazil
[9] Fed Univ Cariri, Ctr Agr Sci & Biodivers, BR-63048080 Crato, CE, Brazil
[10] Reg Univ Cariri, Dept Biol Chem, Crato, Brazil
关键词
Water pollution; Microbiological assessment; Multivariate analysis; Monitoring; Principal component analysis; ANTIBIOTIC-RESISTANCE GENES; ELEMENTAL SULFUR; ZNO NANOPARTICLES; ESCHERICHIA-COLI; CONTAMINATION; TOXICITY; BACTERIA; PATHWAYS; SEDIMENT; INDEX;
D O I
10.1016/j.marenvres.2024.106876
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. Our data, taken together, suggest that the waters of the Capibaribe River have been suffering impacts associated with different human activities. Due to its flow crossing a large urban area, different sources are contributing to the contamination/pollution of its aquatic ecosystem, whose multivariate analysis allowed us to identify sitedependent characteristics that reflect the degree and type of human influence. The study of physical-chemical and chemical parameters reveals the influence of the high load of effluents (industrial and domestic) on the chemical and microbiological quality of the waters sampled at the SS4 site. On the other hand, the antimicrobial resistance profile of the isolates evaluated, especially at SS1, SS2, and SS3 sites, provides a comprehensive sample of the "resistome" present in the fecal content of thousands of people living in the region surrounding the Capibaribe River. The presence of enterobacteria in water indicates contamination of fecal origin. It represents a public health problem since the waters of the Capibaribe River can be a source of dissemination and persistence of bacteria resistant to humans and the environment. In conclusion, our study provides a more comprehensive understanding of the relationships between surface water, basic sanitation, antibiotic exposure, bacterial gene transfer, and human colonization, whether in the context of the region studied or other locations.
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页数:14
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