@Article{SilvaJrFreiMend:2015:AHAvQu,
author = "Silva Junior, Celso Henrique Leite and Freire, Ana Talita
Galv{\~a}o and Mendes, Jonas Jansen",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidade CEUMA} and {Universidade CEUMA}",
title = "L{\'o}gica fuzzy e Processo Anal{\'{\i}}tico Hier{\'a}rquico -
AHP na avalia{\c{c}}{\~a}o da qualidade ambiental de nascentes",
journal = "Revista Eletr{\^o}nica em Gest{\~a}o, Educa{\c{c}}{\~a}o e
Tecnologia Ambiental",
year = "2015",
volume = "19",
number = "2",
pages = "292--303",
note = "Informa{\c{c}}{\~o}es Adicionais: This study aimed to evaluate
the environmental quality of the river Bacanga sources using a
methodology rarely used in these types of studies, the Fuzzy
Theory. In calculating the Environmental Quality Index of Sources,
for the weighting of parameters was used the AHP (Analytical
Hierarchical Process). As a result, the 11 sources analyzed 5
sources were framed in class A with Environmental Quality Best, 3
sources were framed in class B with Environmental Quality Good, 2
sources were framed in class C with Environmental Quality
Reasonable and 1 source framed in class D with Environmental
Quality Poor, no source was framed in class E with Environmental
Quality Rubbish. The use of Fuzzy Logic with AHP demonstrated to
be efficient in the classification of sources. The sources
classified in the C and D classes require mitigation measures for
the environmental recovery of the same. Urbanization was
identified as the main agent of degradation of the studied
sources..",
keywords = "Impactos Ambientais, Recursos H{\'{\i}}dricos, Estado do
Maranh{\~a}o.",
abstract = "O presente trabalho objetivou a avalia{\c{c}}{\~a}o da qualidade
ambiental das nascentes do rio Bacanga utilizando uma metodologia
pouco empregada nesse tipo de estudo, a Teoria Fuzzy. No
c{\'a}lculo do {\'{\I}}ndice de Qualidade Ambiental das
Nascentes, para a pondera{\c{c}}{\~a}o dos par{\^a}metros foi
utilizado o AHP (Analytic Hierarchy Process - Processo
Anal{\'{\i}}tico Hier{\'a}rquico). Como resultado, das 11
nascentes analisadas,5 nascentes foram enquadradas na classe A com
Qualidade Ambiental {\'O}tima, 3 nascentes foram enquadradas na
classe B com Qualidade Ambiental Boa, 2 nascentes foram
enquadradas na classe C com Qualidade Ambiental Razo{\'a}vel e 1
nascente foi enquadrada na classe D com Qualidade Ambiental Ruim,
nenhuma nascente foi enquadrada na classe E com Qualidade
Ambiental P{\'e}ssima. O uso da L{\'o}gica Fuzzy com o AHP
mostrou-se eficiente na classifica{\c{c}}{\~a}o das nascentes.
As nascentes enquadradas nas classes C e D necessitam de medidas
mitigadoras para a recupera{\c{c}}{\~a}o ambiental das mesmas. A
urbaniza{\c{c}}{\~a}o foi identificada como o principal agente
de degrada{\c{c}}{\~a}o das nascentes estudadas. ABSTRACT: This
study aimed to evaluate the environmental quality of the river
Bacanga sources using a methodology rarely used in these types of
studies, the Fuzzy Theory. In calculating the Environmental
Quality Index of Sources, for the weighting of parameters was used
the AHP (Analytical Hierarchical Process). As a result, the 11
sources analyzed 5 sources were framed in class A with
Environmental Quality Best, 3 sources were framed in class B with
Environmental Quality Good, 2 sources were framed in class C with
Environmental Quality Reasonable and 1 source framed in class D
with Environmental Quality Poor, no source was framed in class E
with Environmental Quality Rubbish. The use of Fuzzy Logic with
AHP demonstrated to be efficient in the classification of sources.
The sources classified in the C and D classes require mitigation
measures for the environmental recovery of the same. Urbanization
was identified as the main agent of degradation of the studied
sources.",
issn = "2236-1170",
label = "lattes: 0506851271452550 1 SilvaJrFreiMend:2015:AHAvQu",
language = "pt",
url = "http://cascavel.ufsm.br/revistas/ojs-2.2.2/index.php/reget/article/view/16849",
urlaccessdate = "28 abr. 2024"
}