Limnological Quality: Seasonality Assessment and Potential for Contamination of the Pindare River Watershed, Pre-Amazon Region, Brazil

被引:5
|
作者
Muniz, Jamilly N. [1 ]
Duarte, Klinger G. [1 ]
Ramos Braga, Fabio H. [1 ]
Lima, Neuriane S. [1 ]
Silva, Darlan E. [2 ]
Firmo, Wellyson C. A. [3 ]
Batista, Marcia R., V [4 ]
Silva, Flor M. A. M. [4 ]
Miranda, Rita de C. M. [2 ]
Silva, Maria Raimunda C. [2 ]
机构
[1] CEUMA Univ, Rua Josue Montello 01,Jardim Renascenca 2, Sao Luis 65075120, Maranhao, Brazil
[2] CEUMA Univ, Environm Sci Lab, Master Sci Environm, Rua Josue Montello 01,Jardim Renascenca 2, Sao Luis 65075120, Maranhao, Brazil
[3] CEUMA Univ, Teacher Biomed Course, Rua Josue Montello 01,Jardim Renascenca 2, Sao Luis 65075120, Maranhao, Brazil
[4] CEUMA Univ, Postgrad Program Management Hlth Programs & Serv, Rua Josue Montello 01,Jardim Renascenca 2, Sao Luis 65075120, Maranhao, Brazil
关键词
fecal coliforms; parasites; principal component analysis; river; water quality; MULTIVARIATE STATISTICAL TECHNIQUES; TEMPORAL VARIATION; CRYPTOSPORIDIUM; GIARDIA; BASIN; AREA;
D O I
10.3390/w12030851
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Watersheds are defined as a set of lands where water drainage occurs through rivers and their tributaries. A large quantity of water resources exist in the state of MaranhAo, Brazil, where rivers and their basins must meet environmental quality standards defined by the limits set out in national environmental council (CONAMA) legislation 357/05 for physicochemical and microbiological parameters, including parasites. Multivariate statistical techniques were applied to study the temporal and spatial variations in water quality of a segment of the Pindare River. The data set included nine parameters for three sampling points over eleven months. Principal component analysis grouped the monitored sampling points into four clusters and identified electrical conductivity, temperature, total dissolved solids (TDS), pH, salinity, and Escherichia coli as being associated with the dry season and nitrite, nitrate, and turbidity as being associated with the rainy season. Three principal components explained 83.80% of the data variance during the rainy and dry seasons. The evaluated correlations indicated that during the rainy season, nitrite (similar to 0.18 mg L-1) and turbidity (similar to 46.00 NTU) levels were the highest, but pH was at its lowest (similar to 6.61). During the dry season, TDS (similar to 155.00 mg L-1) and pH (similar to 8.10) were highest, and E. coli bacteria was more abundant.
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页数:13
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