Open AccessMULTIVARIATE STATISTICAL ANALYSIS AND USE OF GEOGRAPHIC INFORMATION SYSTEMS IN RAW WATER QUALITY ASSESSMENT
Author(s) -
Henrique Kosby Corrêa,
Roberta Plangg Riegel,
Darlan Daniel Alves,
Daniela Montanari Migliavacca Osório,
Gustavo Marques da Costa,
Chaudhery Mustansar Hussain,
Daniela Müller de Quevedo
Publication year - 2019
Publication title -
revista brasileira de ciências ambientais
Language(s) - English
Resource type - Journals
eISSN - 2176-9478
pISSN - 1808-4524
DOI - 10.5327/z2176-947820190431
Subject(s) - biochemical oxygen demand , water quality , chemical oxygen demand , geoprocessing , sewage , environmental science , geographic information system , land use , hydrology (agriculture) , water resource management , environmental engineering , wastewater , geography , ecology , cartography , engineering , biology , geotechnical engineering
This study aimed to apply a methodology for evaluating raw water qualityand its relationship with land uses and occupations through multivariatestatistical analysis and Geographic Information System. Hydrogenic potential,water temperature, dissolved oxygen, biochemical oxygen demand,chemical oxygen demand, total nitrogen, total phosphorus, and E. coli weremonitored from August 2012 until March 2013. The geoprocessing toolenabled delimiting the contribution areas of each sampling site, as well asthe individual identification of land use of each area. Principal ComponentAnalysis resulted in: domestic sewage, domestic sewage/agriculture, andindustrial discharge. Significant correlations were identified between thevariable 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 thecontribution of land use factors as to water quality.