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Previous issue date: 2015-06-02 === P
ara contribuir no desempenho das pol?ticas e estrat?gias formuladas por
comit?s de bacia hidrogr?fica
,
?ndices v?m sendo criados na expectativa de expressar as
m?ltiplas dimens?es dos recursos h?dricos em u
ma forma facilmente interpret?vel.
O uso
do ?ndice de Pobreza H?drica (WPI)
est? se difundindo
mundialmente, sendo o mesmo
formado pela combina??o dos sub?ndices Recurso, Acesso, Capacidade, Uso e Ambiente.
A
lgumas cr?ticas quanto ?
f
orma??o
do WPI
foram surgindo
, de
ntre elas destaca
-
s
e a
atribui??o de pesos dos sub
?ndices, feita por um processo arbitr?rio atribuindo
subjetividade ao crit?rio de sele??o. Ao envolver an?lise estat?stica, quando se considera
as caracter?sticas das vari?veis geradas pe
la An?lise de Componentes Principais (ACP),
verifica
-
se que a mesma ? capaz de solucionar
esse problema
.
O objetivo deste trabalho
?
comparar os resultados do WPI
original
com o ?ndice gerado atrav?s da An?lise de
Componentes Principais (ACP), par
a a indic
a??o dos pesos dos sub
?ndices
aplic?veis na
bacia
hidrogr?fica
do Rio Serid?
(RN e PB)
.
Conclui
-
se que
o uso da An?lise de
Componentes Principais na atribui??o do
s pesos
do ?ndice de Pobreza H?drica permitiu
identificar que os sub
-
?ndices
Recurso, Acesso
e Ambiente
s?o os mais representativos
para a bacia hidrogr?fica do Rio Serid?
,
e que este novo ?ndice, o WPI?, apresentou
faixas
de valores mais abra
ngentes, permitindo identificar mais facilmente
as disparidades entre
os munic?pios.
Al?m disso, a avalia?
?
o dos sub
?ndices na ?rea de estudo tem grande
potencial de informar ao tomador de decis?o na gest?o dos recursos h?dricos, as
localidades mais cr?ticas e que merecem maiores investimentos nos aspectos analisados,
j? que o ?ndice em si n?o permite captar essa informa??o. === To contribute in
the performance of policies and strategies formulated by
development agencies, indexes have been created
in anticipation of expressing the
multiple dimensions of water resources in an easily interpretable form.
Use of
Hydro
Poverty Index
(
WPI)
is spreading
worldwide
, with
the same
formed by the combination
of sub
-
indices
Resource,
access,
capacity
,
use and
environment.
S
ome critics
a
s to its
formation have emerged, a
mong them stands out the allo
cation of weights of sub
-
indexes
,
made by an arbitrary process attributing subjectivity to the selection criteria. By involving
statistical analysis, when considering
the characteristics of the variables generated by the
Principal Component Analysis (PCA), it turns out that it is able to solve this problem.
The objective of this study is to compare the results of the original WPI with content
generated by Principal Com
ponent Analysis (PCA) for the indicati
on of the weights of
sub
-
indec
es
applicable in the Serid? River
hydrographic
Basin
.
We conclude that
the use
of
Principal Component Analysis
in the allocation of
weights
of
Water
Poverty Index
has
identified
the
sub
-
indices
Resources,
Access and
Environment
are the most representative
for the
river basin
Serid?
,
and
that this new
index,
WPI'
, presented
the most
comprehensive
ranges of values
, allowing
more easily identify
disparities
among
municipalities.
In addition,
t
he evaluation
of the sub
-
indec
es
in the study area has great
potential to inform the decision
-
maker in the management of water resources, the most
critical locations and deserve greater investments in the aspects analyzed, as the index
itself can not cap
ture this information.
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