Application of HCA and PCA in the discrimination of not polluted tubular wells from tubular wells with incidence of anthropogenic pollution in Western Amazon Region

All the existing forms of life on the planet depend on water. Each human being needs to consume some liters of potable water daily to remain living. Boa Vista City is a capital of the Roraima State, located in the extreme north of Brazil in the Western Amazon region. In the city of Boa Vista, 70% of...

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Bibliographic Details
Published in:Chinese journal of geochemistry 2006, Vol.25 (B08), p.165-165
Main Author: Francisco S. P. dos Santos Panero Joao S. P. dos Santos Panero Henrique E. B. S. Eduardo Bezerra da Silva
Format: Article
Language:English
Subjects:
HCA
PCA
亚马逊河
地下水污染
水体污染
管状井
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Summary:All the existing forms of life on the planet depend on water. Each human being needs to consume some liters of potable water daily to remain living. Boa Vista City is a capital of the Roraima State, located in the extreme north of Brazil in the Western Amazon region. In the city of Boa Vista, 70% of the water that supplies the urban population is the original groundwaters. The objective of this work is the application of two chemometrics methods of exploratory data analysis. Principal Component Analysis （PCA） and Hierarchical Cluster Analysis （HCA） for the discrimination of tubular wells of the Boa Vista/RR City not polluted and with incidence of pollution of anthropogenic origin. The evaluation of the quality of groundwaters was carried out through the following parameters： pH, electric conductivity （Cond）, total hardness （Dur total）, total alcaline （Alc total）, bicarbonate （HCO3）, calcium （Ca）, magnesium （Mg）, sodium （Na）, potassium （K）, chloride （CI）, nitrate （NO3） and total Iron （Fe total） in 19 points of sampling （tubular wells）. In the chemometrics analysis through PCA and HCA, was used the whole data set, resulting in one matrix 19×12. The data was previously autoscaled. To obtain the dendogram was used the Euclidean distance and the Incremental conection method. Through the chemometrics analysis for PCA, only analyzing PC1 ×PC2, it is observed formation of two great groups and the classification between not polluted tubular wells and tubular wells with incidence of pollution of anthropogenic origin, as it can be observed in Fig. 1. In Fig. 2, it is observed the factors responsible for discrimination （Cl, NO3 and Cond）, it may be related with the infiltration of the water served and of the septics tanks to aquifers.
ISSN:1000-9426
1993-0364