@Article{WrublackMerVilPruSil:2018:VaWaQu,
author = "Wrublack, Suzana C. and Mercante, Erivelto and Vilas Boas, Marcio
A. and Prudente, Victor Hugo Rohden and Silva, Jefferson L. G.",
affiliation = "{Universidade Estadual do Oeste do Paran{\'a}} and {Universidade
Estadual do Oeste do Paran{\'a}} and {Universidade Estadual do
Oeste do Paran{\'a}} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Universidade Estadual do Oeste do
Paran{\'a}}",
title = "Variation of water quality along a river in agricultural watershed
with support of geographic information systems and multivariate
analysis",
journal = "Engenharia Agr{\'{\i}}cola",
year = "2018",
volume = "38",
number = "1",
pages = "74--81",
month = "jan.",
keywords = "geoprocessing, mapping land use and occupation, water quality.",
abstract = "This study demonstrates using remote sensing, geographic
information systems and multivariate statistics to study water
quality in an agricultural watershed. The monitoring of water
quality in the watershed of Lontrass river in the southwestern
region of the State of Paran{\'a} had been done in 2012 and 2013
with a multi-parameter probe in ten sites that were defined
upstream and downstream watershed, during four different seasons.
Mosaicked images were used from Google Earth, Digital Elevation
Model and soil types of maps, defined as the explanatory
variables. The definition of the areas of influence and
multivariate statistical techniques, particularly the Redundancy
Analysis (RDA), were used for the correlation between variables.
In a spring area, located upstream watershed, the contribution on
water quality variation has gotten smaller, when compared with the
other monitoring sites. There was interference in water quality in
downstream sites that has become greater due to the effects of
diffuse pollution. The RDA enabled synthesizes the data
variability structure and the relationship of multidimensional
variables. These statistical techniques added to products
resulting from the GIS contributed to a better understanding of
the variation of water quality in the watershed.",
doi = "10.1590/1809-4430-Eng.Agric.v38n1p74-81/2018",
url = "http://dx.doi.org/10.1590/1809-4430-Eng.Agric.v38n1p74-81/2018",
issn = "0100-6916",
language = "en",
targetfile = "wrublack_variation.pdf",
urlaccessdate = "27 abr. 2024"
}