@InProceedings{MenezesSaSeWaHiGo:2015:CoHiBa,
author = "Menezes, Jos{\'e} Felipe Gazel and Santos, Cleber Assis dos and
Serr{\~a}o, Edivaldo Afonso de Oliveira and Wanzeler, Romero
Thiago S. and Higuchi, Luiz Felipe Masami Serr{\~a}o and
Gon{\c{c}}alves, Layrson de Jesus Menezes",
affiliation = "{Universidade Federal do Par{\'a} (UFPA)} and {Universidade
Federal do Par{\'a} (UFPA)} and {Universidade Federal do
Par{\'a} (UFPA)} and {Universidade Federal do Par{\'a} (UFPA)}
and {Universidade Federal do Par{\'a} (UFPA)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Comportamento hidroclimatol{\'o}gico da bacia hidrogr{\'a}fica
do rio Jari",
booktitle = "Anais...",
year = "2015",
organization = "Congresso Brasileiro de Agrometeorologia, 19.",
keywords = "comportamento hidroclimatol{\'o}gico, Jari, bacia
hidrogr{\'a}fica, hidroclimatol{\'o}gic behavior,
Jari,Hydrographic basin.",
abstract = "O objetivo deste trabalho foi expor o comportamento
hidroclimatol{\'o}gico de precipita{\c{c}}{\~a}o
pluviom{\'e}trica, cota e vaz{\~a}o fluviom{\'e}trica na bacia
hidrogr{\'a}fica do rio Jari. Para a elabora{\c{c}}{\~a}o deste
trabalho utilizou-se as m{\'e}dias mensais dos dados
fluviom{\'e}tricos de cota (cm) e vaz{\~a}o (m3/s) do acervo
hidroclimatol{\'o}gico da Ag{\^e}ncia Nacional de {\'A}guas
(s{\'e}rie hist{\'o}rica de 1973 a 2013) e dados
pluviom{\'e}tricos provenientes do GPCC (Global
PrecipitationClimatology Center), disponibilizados pelo NCEP/NCAR
Reanalysis Project atthe NOAA/ESRL PhysicalSciencesDivision
(s{\'e}rie hist{\'o}rica de 1981 a 2010). No tratamento
estat{\'{\i}}stico e elabora{\c{c}}{\~a}o de gr{\'a}ficos da
curva de perman{\^e}ncia, curva chave e m{\'e}dias simples,
foram utilizados os softwares Hidro 1.2 da Ag{\^e}ncia Nacional
de {\'A}guas. O Software ArcMap 10.0 foi utilizando para a
interpola{\c{c}}{\~a}o da precipita{\c{c}}{\~a}o pelo
m{\'e}todo de Krigagem. A regi{\~a}o central da bacia
hidrogr{\'a}fica {\'e} onde ocorre o m{\'a}ximo acumulado de
precipita{\c{c}}{\~a}o durante o ano, onde ap{\'o}s o
m{\'a}ximo de precipita{\c{c}}{\~a}o, a cota e vaz{\~a}o
m{\'a}xima ocorrem usualmente no m{\^e}s de maio, portanto no
final do per{\'{\i}}odo chuvoso da regi{\~a}o. A
regionaliza{\c{c}}{\~a}o das curvas de perman{\^e}ncia de cota
e vaz{\~a}o, ajudaram a informar o comportamento dos respectivos
valores durante o per{\'{\i}}odo analisado (1973 a 2013), onde
Q95 apresentou o valor de 530 m3 /s e C95 apresentou o valor de 90
cm. O valor encontrado na curva chave mostrou {\'o}timo
coeficiente de determina{\c{c}}{\~a}o (Rē=0,9941). O
conhecimento do comportamento hidroclimatol{\'o}gico de uma bacia
hidrogr{\'a}fica {\'e} de vital import{\^a}ncia para poder
auxiliar e subsidiar a tomada de decis{\~o}es futuras
principalmente no que se refere ao multiuso das {\'a}guas de
bacias com elevado potencial como a do rio Jari. The objective was
to expose the hidroclimatol{\'o}gic behavior of rainfall, the
water level on the river and fluviometric flow in the basin of
Jari. To prepare this work we used the monthly average of
streamflow data quota (cm) and flow (m3/ s) hidroclimatol{\'o}gic
collection of the National Water Agency (ANA) (time series
1973-2013) and rainfall data from the GPCC (Global Precipitation
Climatology Centre) provided by NCEP / NCAR Reanalysis Project at
the NOAA / ESRL Physical Sciences Division (time series
1981-2010). In the statistical analysis and graphing of the
duration curve, rating curve and simple averages, the Hydro 1.2
software from National Water Agency (ANA) were used. ArcMap
Software 10.0 was using for interpolation of precipitation by
Kriging method. The central basin is where the maximum accumulated
precipitation occurs during the year, where after the maximum
precipitation, the water level and maximum flow usually occur in
the month of May, so at the end of the rainy season in the region.
The regionalization of quota retention curves and flow, helped
inform the The objective was to expose the hidroclimatol{\'o}gic
behavior of rainfall, the water level on the river and
fluviometric flow in the basin of Jari. To prepare this work we
used the monthly average of streamflow data quota (cm) and flow
(m3/ s) hidroclimatol{\'o}gic collection of the National Water
Agency (ANA) (time series 1973-2013) and rainfall data from the
GPCC (Global Precipitation Climatology Centre) provided by NCEP /
NCAR Reanalysis Project at the NOAA / ESRL Physical Sciences
Division (time series 1981-2010). In the statistical analysis and
graphing of the duration curve, rating curve and simple averages,
the Hydro 1.2 software from National Water Agency (ANA) were used.
ArcMap Software 10.0 was using for interpolation of precipitation
by Kriging method. The central basin is where the maximum
accumulated precipitation occurs during the year, where after the
maximum precipitation, the water level and maximum flow usually
occur in the month of May, so at the end of the rainy season in
the region. The regionalization of quota retention curves and
flow, helped inform the The objective was to expose the
hidroclimatol{\'o}gic behavior of rainfall, the water level on
the river and fluviometric flow in the basin of Jari. To prepare
this work we used the monthly average of streamflow data quota
(cm) and flow (m3/ s) hidroclimatol{\'o}gic collection of the
National Water Agency (ANA) (time series 1973-2013) and rainfall
data from the GPCC (Global Precipitation Climatology Centre)
provided by NCEP / NCAR Reanalysis Project at the NOAA / ESRL
Physical Sciences Division (time series 1981-2010). In the
statistical analysis and graphing of the duration curve, rating
curve and simple averages, the Hydro 1.2 software from National
Water Agency (ANA) were used. ArcMap Software 10.0 was using for
interpolation of precipitation by Kriging method. The central
basin is where the maximum accumulated precipitation occurs during
the year, where after the maximum precipitation, the water level
and maximum flow usually occur in the month of May, so at the end
of the rainy season in the region. The regionalization of quota
retention curves and flow, helped inform thebehavior of their
values during the analysis period (1973-2013), which introduced
the Q95 value of 530 m3/s and C95 showed the value of 90 cm. The
value found in the rating curve showed great determination
coefficient (Rē = 0.9941). Knowledge of hidroclimatol{\'o}gic
behavior of a watershed is of vital signification in order to
assist and support the future decision-making especially with
regard to multipurpose bowls of water with high potential as the
Jari River.",
conference-location = "Lavras, MG",
conference-year = "23-28 Ago.",
label = "lattes: 0500272377835584 5 MenezesSanSerHigGon:2015:CoHiBa",
language = "pt",
targetfile = "AnaisCBAgro2015D.pdf",
urlaccessdate = "27 abr. 2024"
}