Revista Brasileira de Geografia Física,
Год журнала:
2025,
Номер
18(4), С. 2551 - 2572
Опубликована: Апрель 22, 2025
In
this
study,
we
identified
flood
risk
areas
using
maximum
streamflow
estimates
derived
from
regional
functions
and
1D
hydraulic
modelling
in
an
urban
ungauged
watershed
Lavras,
Minas
Gerais,
Brazil.
Our
approach
focused
on
employing
simple
techniques
based
secondary
data
to
support
management
regions
lacking
hydrological
monitoring
technical
expertise.
The
study
evaluated
two
developed
for
the
Grande
River
Basin
identify
most
suitable
mapping.
Flood
maps
5,
10,
50
100-year
return
periods
were
created
software
HEC-RAS
assessed
population
vulnerability
under
current
regulated
land
use
scenarios.
By
data,
work
provides
a
practical
decision-making
cities
with
limited
resources,
highlighting
need
improved
drainage
management.
Revista Mineira de Recursos Hídricos,
Год журнала:
2025,
Номер
6
Опубликована: Фев. 14, 2025
A
região
Norte
de
Minas
Gerais,
caracterizada
por
clima
semiárido
e
baixa
regularidade
chuvas,
enfrenta
grandes
desafios
relacionados
à
disponibilidade
recursos
hídricos,
o
que
afeta
diretamente
a
agricultura
economia
local.
Com
avanço
das
mudanças
climáticas,
prevê-se
esses
fenômenos
se
intensifiquem,
aumentando
os
períodos
seca
ocorrência
eventos
climáticos
extremos.
Este
estudo
utilizou
modelo
climático
global
FIO-ESM
v2.0,
dentro
dos
cenários
SSP2-4.5
SSP5-8.5,
para
avaliar
as
no
Balanço
Hídrico
Climatológico
(BHC)
entre
anos
2021
2060
em
áreas
agrícolas
quatro
municípios
da
região.
Os
resultados
indicaram
uma
tendência
aumento
maior
variabilidade
nos
volumes
precipitação.
Observou-se
ainda
um
crescimento
precipitados
na
frequência
extremos
climáticos,
como
secas
severas
chuvas
intensas,
especialmente
cenário
SSP5-8.5.
Esses
sugerem
significativos
gestão
hídricos
local,
reforçando
necessidade
políticas
adaptação
mitigação.
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 15, 2025
Abstract
Recent
studies
indicate
climate
change-driven
extreme
weather
events
have
led
to
frequent
flooding
in
many
East
African
countries,
including
Ethiopia.
This
study
evaluates
extremes
and
their
association
with
floods
the
Baro
Akobo
River
Basin,
Ethiopia,
using
CMIP6
models
HEC-HMS
hydrological
modeling.
We
use
daily
precipitation
temperature
from
30
meteorological
stations,
12
Global
Climate
Models
(GCMs)
under
two
shared
socioeconomic
pathways
(SSPs),
SSP2-4.5
SSP5-8.5
scenarios.
The
GCMs
are
evaluated
at
time
scale
observed
data
over
period
1985
2014,
resulting
MPI-ESM1-2-HR,
INM-CM4-8,
FGOALS-g3,
GFDL-ESM4
top
four
best-performing
basin.
utilize
Expert
Team
Change
Detection
Indices
(ETCCDI)
assess
basin,
focusing
on
five
precipitation-based
temperature-based
indices
due
anticipated
correlation
flood
events.
then
simulate
peak
discharge
basin’s
outlet
model
correlate
annual
maximum
flow
(Qmax)
indices.
results
show
that
during
mid-century
(2041–2070),
all
extremes,
except
for
Consecutive
Wet
Days
(CWD),
demonstrate
a
strong
Qmax,
characterized
by
coefficients
ranging
0.54
0.87
both
In
contrast,
end
of
century
(2071–2100),
CWD
Maximum
1-day
(Rx1day)
exhibit
weak
correlation;
however,
Total
Precipitation
(PRCPTOT),
5-day
(Rx5day),
Numbers
Heavy
(R10mm)
display
correlations,
0.55
0.85
All
relatively
positive
Qmax
coldest
night
(TNn)
During
end-century,
Warmest
Night
Temperature
(TNx),
negatively
Qmax.
further
reveal
an
increasing
trend
PRCPTOT,
Rx5day,
R10mm
mid
century,
suggesting
greater
likelihood
heavy
may
elevate
risk
,.
Therefore,
research
is
recommended
evaluate
extent
impact
which
will
help
devise
appropriate
mitigation
strategies.
Revista Brasileira de Geografia Física,
Год журнала:
2025,
Номер
18(4), С. 2551 - 2572
Опубликована: Апрель 22, 2025
In
this
study,
we
identified
flood
risk
areas
using
maximum
streamflow
estimates
derived
from
regional
functions
and
1D
hydraulic
modelling
in
an
urban
ungauged
watershed
Lavras,
Minas
Gerais,
Brazil.
Our
approach
focused
on
employing
simple
techniques
based
secondary
data
to
support
management
regions
lacking
hydrological
monitoring
technical
expertise.
The
study
evaluated
two
developed
for
the
Grande
River
Basin
identify
most
suitable
mapping.
Flood
maps
5,
10,
50
100-year
return
periods
were
created
software
HEC-RAS
assessed
population
vulnerability
under
current
regulated
land
use
scenarios.
By
data,
work
provides
a
practical
decision-making
cities
with
limited
resources,
highlighting
need
improved
drainage
management.