Quality assessment of Baixo Paraíba do Sul water using computational intelligence techniques
DOI:
https://doi.org/10.19180/2177-4560.v14n12020p152-162Keywords:
Water quality, Decision tree, Process of Knowledge Discovery in DatabaseAbstract
The great demand of human being for natural resources, especially water, generates an imbalance in biodiversity. Computational techniques have been allied tools in different sectors of environmental management. The objective of this work is to investigate the components of the water quality index and their interactions, through data mining techniques. The database used has 172 records, between 2014 and 2018, obtained at the different sampling points of the Paraíba do Sul River. For the application of data mining, the methods of grouping and classification were used. The results indicate that the data are divided into two groups and the attribute with the greatest influence is the thermotolerant coliform, indicating problems related to the lack of sanitation infrastructure around the watershed. .Downloads
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