@Article{LimaRibeBarbRotu:2016:EsPoPo,
author = "Lima, Ricardo Neves de Souza and Ribeiro, Celso Bandeira de Melo
and Barbosa, Cl{\'a}udio Clemente Faria and Rotunno Filho, Otto
Corr{\^e}a",
affiliation = "{Universidade Federal de Juiz de Fora (UFJF)} and {Universidade
Federal de Juiz de Fora (UFJF)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Universidade Federal do Rio de
Janeiro (UFRJ)}",
title = "Estudo da polui{\c{c}}{\~a}o pontual e difusa na bacia de
contribui{\c{c}}{\~a}o do reservat{\'o}rio da usina
hidrel{\'e}trica de Funil utilizando modelagem espacialmente
distribu{\'{\i}}da em Sistema de Informa{\c{c}}{\~a}o
Geogr{\'a}fica",
journal = "Engenharia Sanit{\'a}ria e Ambiental",
year = "2016",
volume = "21",
number = "1",
pages = "139--150",
month = "jan./mar.",
keywords = "water pollution, geoprocessing, watershed, nutrients.",
abstract = "This study evaluated the potential polluter of the Funil Reservoir
Contribution Basin (BCRF), located in the Paraiba do Sul River
basin, considering the generation of nutrient loading, nitrogen
(N) and phosphorus (P), due to point and diffuse sources from a
distributed modeling using Geographic Information System (GIS).
Loads and annual average concentrations of these nutrients were
generated from the coupling of empirical equations, in GIS,
considering spatial information such as land use/cover, population
living in the basin and long period average annual flow obtained
by equations of rainfall-runoff. The results indicated that 80% of
the total load of nitrogen was generated from point sources and
20% from diffuse sources, while 89.1% were originated from point
sources and 10.9% from diffuse sources for the corresponding total
load of phosphorus. The model estimated adequately the
concentration when compared to the observed values and it was able
to detect the trend of changes in nutrient concentrations along
different sections of the BCRF highlighting significant
correlations between the observed and simulated concentrations of
phosphorus and nitrogen with R-2=0.96 (p<0.01) and R-2=0.70
(p<0.01), respectively.",
doi = "10.1590/S1413-41520201600100127676",
url = "http://dx.doi.org/10.1590/S1413-41520201600100127676",
issn = "1413-4152",
language = "pt",
targetfile = "lima_estudo.pdf",
urlaccessdate = "27 abr. 2024"
}