Stochastic Analysis of Rock Strength Variability in Underground Coal Mining
Geotechnical and Geological Engineering,
Год журнала:
2025,
Номер
43(2)
Опубликована: Янв. 31, 2025
Язык: Английский
Scaling Properties of Rainfall as a Basis for Intensity–Duration–Frequency Relationships and Their Spatial Distribution in Catalunya, NE Spain
Climate,
Год журнала:
2025,
Номер
13(2), С. 37 - 37
Опубликована: Фев. 8, 2025
The
spatial
distribution
of
rainfall
intensity–duration–frequency
(IDF)
values,
essential
for
hydrological
applications,
were
estimated
Catalunya,
Spain.
From
a
larger
database
managed
by
the
Meteorological
Service
Catalunya
and
after
rigorous
quality
control,
163
high-quality
daily
series
spanning
from
1942
to
2016,
with
an
average
length
39.8
years
approximately
one
station
per
200
km2,
selected.
A
monofractal
downscaling
methodology
was
applied
derive
intensities
sub-daily
durations
using
reference
24
h
duration
as
basis,
followed
interpolations
on
1
km
×
grid.
scaling
parameter
values
have
been
found
be
higher
in
northwestern
mountainous
areas,
influenced
Atlantic
climate,
lower
central–western
driest
zones.
general
negative
gradient
observed
toward
coastline,
reflecting
increasing
influence
Mediterranean
Sea.
IDF
results
are
presented
maps,
providing
intensity–frequency
estimates
between
hour
day,
return
periods
2
years,
uncertainty
below
12%
200-year
period,
shorter
periods.
These
findings
highlight
need
capture
variations
urban
planning,
flood
climate
resilience
efforts.
Язык: Английский
Application of the Probability of Extreme Sea Levels at Selected Baltic Sea Tide Gauge Stations
Water,
Год журнала:
2025,
Номер
17(3), С. 291 - 291
Опубликована: Янв. 21, 2025
The
aim
of
this
study
was
to
analyze
the
application
probability
extreme
water
level
predictions
along
entire
Baltic
Sea
coast.
In
initial
part
work,
critical
sea
levels
off
States
were
reviewed.
These
are
related
height
breakwaters
and
determined
on
basis
probabilistic
methods.
Then,
heights
theoretical
in
quantile
range
determined.
Calculations
performed
using
Gumbel
Pearson
III
type
distributions.
Visualizations
maximum
minimum
levels,
as
well
calculations
surface
length
coastline,
made
ArcGIS
10.2.1
software.
A
comparison
from
two
periods
showed
that
over
last
60
years,
there
has
been
a
stable
trend
an
increase
both
observed
2.6
mm/year.
At
same
time,
return
period
for
tide
gauge
stations
reduced
by
average
about
50%.
It
could
thus
be
concluded
hydrological
hazards
region
appeared
twice
often
they
did
first
half
20th
century.
Later
we
what
size
coastline
corresponded
particular
ranges
different
periods.
For
with
200-year
period,
much
19.1%
23.8%
its
may
influenced
extremely
high
(≥200
cm).
areas
inner
parts
great
gulfs.
them,
lower
than
200
cm,
which
indicates
potential
risk
storm
floods.
Based
calculations,
it
Pärnu
Bay,
within
lies
station,
is
most
hydrologically
dangerous
basin
Sea.
Язык: Английский
Individual Flood Risk Assessment and Insurance Decision Factors of Floodplain Residents. Representative Studies in Poland
Опубликована: Янв. 1, 2025
Язык: Английский
An In-Depth Statistical Analysis of the Pearson Type III Distribution Behavior in Modeling Extreme and Rare Events
Water,
Год журнала:
2025,
Номер
17(10), С. 1539 - 1539
Опубликована: Май 20, 2025
Statistical
distributions
play
a
crucial
role
in
water
resources
management
and
civil
engineering,
particularly
for
analyzing
data
variability
predicting
rare
events
with
extremely
long
return
periods
(e.g.,
T
=
1000
years,
10,000
years).
Among
these,
the
Pearson
III
(PE3)
distribution
is
widely
used
hydrology
flood
frequency
analysis
(FFA).
This
study
aims
to
provide
comprehensive
guide
practical
application
of
PE3
FFA.
It
explores
five
parameter
estimation
methods,
presenting
both
exact
newly
developed
approximate
relationships
calculating
parameters
factors.
The
relies
on
from
four
rivers
varying
morphometric
characteristics
record
lengths.
results
highlight
that
distribution,
when
L-moments
method,
offers
most
reliable
quantile
estimates,
characterized
by
smallest
biases
compared
other
methods
31%
Nicolina
River
and,
respectively,
5%
Siret
Ialomita
Rivers)
highest
confidence
events.
Based
these
findings,
approach
recommended
improve
accuracy
extreme
flow
forecasts.
Язык: Английский
Analysis of rainfall variability and extreme events in South-Western Nigeria: implications for water resource management and climate resilience
Bulletin of the National Research Centre/Bulletin of the National Research Center,
Год журнала:
2025,
Номер
49(1)
Опубликована: Май 27, 2025
Abstract
Rainfall
variability
and
extreme
events
significantly
impact
agriculture,
water
resource
management,
urban
planning
in
South-Western
Nigeria,
a
region
characterized
by
distinct
wet
dry
seasons.
The
study
aims
to
analyse
rainfall
patterns,
quantify
events,
estimate
return
periods
using
statistical
models
address
the
challenges
posed
these
variations.
Forty
years
of
data
(1983–2023)
were
analysed
capture
seasonal
inter-annual
variability.
Extreme
modelled
Gumbel
generalized
value
(GEV)
distributions,
with
latter
providing
superior
fit,
as
validated
Kolmogorov–Smirnov
(K–S)
Anderson–Darling
(A–D)
tests.
results
show
bimodal
pattern
peaks
June–July
September–October
an
"August
break".
Annual
highlighted
high-rainfall
like
1995,
2009,
2019
low-rainfall
such
2000
2015,
influenced
climate
drivers
ENSO
AMO.
intensities
for
2,
10,
100
estimated
at
1463
mm,
1647
1733
respectively,
based
on
GEV
model.
findings
emphasize
need
adaptive
strategies,
including
improved
storage
systems,
flood
control
infrastructure,
climate-resilient
agricultural
practices.
Future
research
should
integrate
projections
anticipate
trends
under
changing
climatic
conditions,
supporting
sustainable
development
disaster
resilience
region.
Язык: Английский
Heavy Rainfall Probabilistic Model for Zielona Góra in Poland
Water,
Год журнала:
2025,
Номер
17(11), С. 1673 - 1673
Опубликована: Май 31, 2025
The
research
focuses
on
probabilistic
modeling
of
maximum
rainfall
in
Zielona
Góra,
Poland,
to
improve
urban
drainage
system
design.
study
utilizes
archived
pluviographic
data
from
1951
2020,
collected
at
the
IMWM-NRI
meteorological
station.
These
include
10
min
records
and
aggregated
hourly
daily
totals.
employs
various
statistical
distributions,
including
Fréchet,
gamma,
generalized
exponential
(GED),
Gumbel,
log-normal,
Weibull,
model
intensity–duration–frequency
(IDF)
relationships.
After
testing
goodness
fit
using
Anderson–Darling
test,
Bayesian
Information
Criterion
(BIC),
relative
residual
mean
square
Error
(rRMSE),
GED
distribution
was
found
best
describe
patterns.
A
key
outcome
is
development
a
new
based
distribution,
allowing
for
estimation
precipitation
amounts
different
durations
exceedance
probabilities.
However,
highlights
limitations,
such
as
need
more
accurate
local
models
standardized
atlas
Poland.
Язык: Английский
The Development of a Hydrological Method for Computing Extreme Hydrographs in Engineering Dam Projects
Hydrology,
Год журнала:
2024,
Номер
11(11), С. 194 - 194
Опубликована: Ноя. 15, 2024
Engineering
dam
projects
benefit
society,
including
hydropower,
water
supply,
agriculture,
and
flood
control.
During
the
planning
stage,
it
is
crucial
to
calculate
extreme
hydrographs
associated
with
different
return
periods
for
spillways
diversion
structures
(such
as
tunnels,
conduits,
temporary
diversions,
multiple-stage
cofferdams).
In
many
countries,
have
ranging
from
1000
10,000
years,
while
are
designed
shorter
periods.
This
study
introduces
a
hydrological
method
based
on
data
large
rivers
which
can
be
used
compute
in
engineering
projects.
The
proposed
model
relies
solely
frequency
analysis
of
peak
flow,
base
volume
various
periods,
along
recorded
maximum
hydrographs,
design
applied
El
Quimbo
Hydropower
Plant
Colombia,
has
drainage
area
6832
km2.
results
demonstrate
that
this
effectively
captures
flows
evaluates
hydrograph
volumes
Root
Mean
Square
Error
11.9%
was
achieved
during
validation
stage
model.
A
comprehensive
comparison
rainfall–runoff
also
provided
evaluate
relative
magnitudes
variables
analysed,
ensuring
thorough
reliable
assessment
method.
Язык: Английский