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QUALITATIVE ANALYSIS OF THE SHALLOW UNDERGROUND WATERS OF BENEVIDES, PARÁ, BASED ON MULTIVARIATE STATISTICAL METHODS
- Source :
- Química Nova, Vol 48, Iss 2 (2024)
- Publication Year :
- 2024
- Publisher :
- Sociedade Brasileira de Química, 2024.
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Abstract
- Groundwater is considered an important source of water aid for human consumption. However, this water can be contaminated by impurities, such contamination spots that might reach the water tables. The aim of this study was to investigate the quality of shallow groundwater in Flores neighborhood, located in the municipality of Benevides, within Belém metropolitan region, State of Pará, Brazil. Recommendations described in Standard Methods for Examination of Water and Wastewater were followed at the time to determine physical-chemical parameters such as potential hydrogen (pH), electrical conductivity (EC), total dissolved solids (TDS), apparent color, turbidity, total hardness (TH), ions and trace elements. Multivariate statistical analysis has shown that most predictive water-quality parameters set for human consumption are associated with natural events involving weathering and leaching processes. Nevertheless, parameters of nitrate, phosphate, EC, TDS and pH are also influenced by anthropic conditions in the surroundings, mainly phosphate and nitrate ions. Therefore, it can be concluded that shallow groundwaters in Flores neighborhood are unsuitable for human consumption, making it necessary for municipal public authorities to take action to solve the problem of water shortage in the borough, thus preventing the population from use those shallow groundwaters, as their consumption can bring health problems.
- Subjects :
- Benevides
multivariate statistics
shallow groundwater
water quality
Chemistry
QD1-999
Subjects
Details
- Language :
- English, Spanish; Castilian, Portuguese
- ISSN :
- 16787064 and 01004042
- Volume :
- 48
- Issue :
- 2
- Database :
- Directory of Open Access Journals
- Journal :
- Química Nova
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.12a2a8a920434f8f83a88338294ae03d
- Document Type :
- article
- Full Text :
- https://doi.org/10.21577/0100-4042.20250021