MULTIVARIATE STATISTICAL ANALYSIS AND USE OF GEOGRAPHIC INFORMATION SYSTEMS IN RAW WATER QUALITY ASSESSMENT

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Henrique Kosby Corrêa
Roberta Plangg Riegel
Darlan Daniel Alves
Daniela Montanari Migliavacca Osório
Gustavo Marques da Costa
Chaudhery Mustansar Hussain
Daniela Müller de Quevedo

Abstract

This study aimed to apply a methodology for evaluating raw water quality
and its relationship with land uses and occupations through multivariate
statistical analysis and Geographic Information System. Hydrogenic potential,
water temperature, dissolved oxygen, biochemical oxygen demand,
chemical oxygen demand, total nitrogen, total phosphorus, and E. coli were
monitored from August 2012 until March 2013. The geoprocessing tool
enabled delimiting the contribution areas of each sampling site, as well as
the individual identification of land use of each area. Principal Component
Analysis resulted in: domestic sewage, domestic sewage/agriculture, and
industrial discharge. Significant correlations were identified between the
variable urban area and hydrogenionic potential (ρ = 0.446; p = 0.049),
dissolved oxygen (ρ = -0.625; p = 0.003), total nitrogen (ρ = 0.649; p = 0.002),
and E. coli (ρ = 0.932; p < 0.001). The methodology enabled to identify the
contribution of land use factors as to water quality.

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How to Cite
Corrêa, H., Riegel, R., Alves, D., Osório, D., Costa, G., Hussain, C., & Quevedo, D. (2019). MULTIVARIATE STATISTICAL ANALYSIS AND USE OF GEOGRAPHIC INFORMATION SYSTEMS IN RAW WATER QUALITY ASSESSMENT. Brazilian Journal of Environmental Sciences (Online), (52), 1-15. https://doi.org/10.5327/Z2176-947820190431
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