@Article{PradoNovo:2015:MoPoPo,
author = "Prado, Rachel B. and Novo, Evlyn M{\'a}rcia Le{\~a}o de Moraes",
affiliation = "{Embrapa Solos} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Modeling pollution potential input from the drainage basin into
Barra Bonita reservoir, S{\~a}o Paulo – Brazil",
journal = "Brazilian Journal of Biology",
year = "2015",
volume = "75",
number = "2",
pages = "314--323",
month = "May",
keywords = "geotechnology, water quality, nonpoint pollution, multi-criteria
analysis, watershed management.",
abstract = "In this study multi-criteria modeling tools are applied to map the
spatial distribution of drainage basin potential to pollute Barra
Bonita Reservoir, Sao Paulo State, Brasil. Barra Bonita Reservoir
Basin had undergone intense land use/land cover changes in the
last decades, including the fast conversion from pasture into
sugarcane. In this respect, this study answers to the lack of
information about the variables (criteria) which affect the
pollution potential of the drainage basin by building a Geographic
Information System which provides their spatial distribution at
sub-basin level. The GIS was fed by several data (geomorphology,
pedology, geology, drainage network and rainfall) provided by
public agencies. Landsat satellite images provided land use/land
cover map for 2002. Ratings and weights of each criterion defined
by specialists supported the modeling process. The results showed
a wide variability in the pollution potential of different
sub-basins according to the application of different criterion. If
only land use is analyzed, for instance, less than 50% of the
basin is classified as highly threatening to water quality and
include sub basins located near the reservoir, indicating the
importance of protection areas at the margins. Despite the
subjectivity involved in the weighing processes, the
multi-criteria analysis model allowed the simulation of scenarios
which support rational land use polices at sub-basin level
regarding the protection of water resources.",
doi = "10.1590/1519-6984.12013",
url = "http://dx.doi.org/10.1590/1519-6984.12013",
issn = "1519-6984",
language = "en",
targetfile = "prado_modeling.pdf",
urlaccessdate = "27 abr. 2024"
}