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| Format: | Artículo científico |
| Language: | en |
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Universidade Estadual Paulista Júlio de Mesquita Filho
2023
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| Online Access: | https://www.redalyc.org/articulo.oa?id=42977076004 https://www.redalyc.org/journal/429/42977076004/ https://www.redalyc.org/journal/429/42977076004/html/ https://www.redalyc.org/journal/429/42977076004/42977076004.epub https://www.redalyc.org/journal/429/42977076004/movil https://doi.org/10.26850/1678-4618eqj.v48.4.2023.p37-47 |
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| _version_ | 1866815519296847872 |
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| author | Antonio José Ferreira Gadelha |
| author_facet | Antonio José Ferreira Gadelha |
| contents | Multivariate statistical analysis of physicochemical parameters of groundwater quality using PCA and HCA techniques Antonio José Ferreira Gadelha Clarice Oliveira da Rocha José Germano Veras Neto Mirelly Alexandre Gomes Química Chemometrics hydric resources Brazilian semiarid exploratory analysis Multivariate analysis techniques are powerful tools in the study of groundwater quality, providing an expanded view of quality parameters. This work presents a multivariate analysis of groundwater quality in the city of Sousa, Paraíba state, through the techniques of principal component analysis (PCA) and hierarchical cluster analysis (HCA). Samples from 13 tubular wells were collected in different districts of the city of Sousa, during the rainy and dry seasons. For these samples, 11 parameters were analyzed: hydrogenic potential (pH), total dissolved solids, total alkalinity, carbonates, bicarbonates, total hardness, magnesium, calcium, sodium, potassium, and chlorides. PC1, PC2, PC3 and PC4 explain 87.48% of the total variance of the data. The PCA shows that there was a change in patterns between the analyzed periods. The correlation matrix corroborates the PCA data, showing the relationships between the physical-chemical variables evaluated. The HCA confirmed the correlations between the samples, making it possible to assess the degree of similarity between the composition of the wells and between the parameters evaluated. 2023 artículo científico 0100-4670 https://www.redalyc.org/articulo.oa?id=42977076004 https://www.redalyc.org/journal/429/42977076004/ https://www.redalyc.org/journal/429/42977076004/html/ https://www.redalyc.org/journal/429/42977076004/42977076004.epub https://www.redalyc.org/journal/429/42977076004/movil https://doi.org/10.26850/1678-4618eqj.v48.4.2023.p37-47 en http://www.redalyc.org/revista.oa?id=429 Eclética Química application/pdf Universidade Estadual Paulista Júlio de Mesquita Filho Eclética Química (Brasil) Num.4 Vol.48 |
| format | Artículo científico |
| id | redalyc_42977076004 |
| language | en |
| publishDate | 2023 |
| publisher | Universidade Estadual Paulista Júlio de Mesquita Filho |
| spellingShingle | Multivariate statistical analysis of physicochemical parameters of groundwater quality using PCA and HCA techniques Antonio José Ferreira Gadelha Química Chemometrics hydric resources Brazilian semiarid exploratory analysis Multivariate statistical analysis of physicochemical parameters of groundwater quality using PCA and HCA techniques Antonio José Ferreira Gadelha Clarice Oliveira da Rocha José Germano Veras Neto Mirelly Alexandre Gomes Química Chemometrics hydric resources Brazilian semiarid exploratory analysis Multivariate analysis techniques are powerful tools in the study of groundwater quality, providing an expanded view of quality parameters. This work presents a multivariate analysis of groundwater quality in the city of Sousa, Paraíba state, through the techniques of principal component analysis (PCA) and hierarchical cluster analysis (HCA). Samples from 13 tubular wells were collected in different districts of the city of Sousa, during the rainy and dry seasons. For these samples, 11 parameters were analyzed: hydrogenic potential (pH), total dissolved solids, total alkalinity, carbonates, bicarbonates, total hardness, magnesium, calcium, sodium, potassium, and chlorides. PC1, PC2, PC3 and PC4 explain 87.48% of the total variance of the data. The PCA shows that there was a change in patterns between the analyzed periods. The correlation matrix corroborates the PCA data, showing the relationships between the physical-chemical variables evaluated. The HCA confirmed the correlations between the samples, making it possible to assess the degree of similarity between the composition of the wells and between the parameters evaluated. 2023 artículo científico 0100-4670 https://www.redalyc.org/articulo.oa?id=42977076004 https://www.redalyc.org/journal/429/42977076004/ https://www.redalyc.org/journal/429/42977076004/html/ https://www.redalyc.org/journal/429/42977076004/42977076004.epub https://www.redalyc.org/journal/429/42977076004/movil https://doi.org/10.26850/1678-4618eqj.v48.4.2023.p37-47 en http://www.redalyc.org/revista.oa?id=429 Eclética Química application/pdf Universidade Estadual Paulista Júlio de Mesquita Filho Eclética Química (Brasil) Num.4 Vol.48 |
| title | Multivariate statistical analysis of physicochemical parameters of groundwater quality using PCA and HCA techniques |
| topic | Química Chemometrics hydric resources Brazilian semiarid exploratory analysis |
| url | https://www.redalyc.org/articulo.oa?id=42977076004 https://www.redalyc.org/journal/429/42977076004/ https://www.redalyc.org/journal/429/42977076004/html/ https://www.redalyc.org/journal/429/42977076004/42977076004.epub https://www.redalyc.org/journal/429/42977076004/movil https://doi.org/10.26850/1678-4618eqj.v48.4.2023.p37-47 |