Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(19), P. 9123 - 9123
Published: Oct. 9, 2024
Various
hydrogeological
problems
like
groundwater
inflow,
water
table
drawdown,
and
pressure
redistribution
may
be
encountered
in
the
construction
of
hydraulic
projects.
How
to
accurately
predict
occurrence
inflow
assess
drainage
effect
during
are
still
challenging
for
engineering
designers.
Taking
Jinzhai
pumped
storage
power
station
(JPSPS)
China
as
an
example,
this
paper
aims
use
different
methods
calculate
rates
underground
powerhouse
evaluate
caused
by
tunnel
construction.
The
consist
analytical
formulas,
site
rating
(SGR)
method,
Signorini
type
variational
inequality
formulation.
results
show
that
considering
stable
overestimate
caverns
drained
conditions,
whereas
SGR
method
with
available
hydro-geological
parameters
obtains
a
qualitative
hazard
assessment
preliminary
phase.
numerical
solutions
provide
more
precise
reliable
values
complex
geological
structures
seepage
control
measures.
Moreover,
effects,
including
seepage-free
surface,
pore
redistribution,
gradient,
have
been
evaluated
using
various
synthetic
cases.
Specifically,
faults
intersecting
on
significantly
change
flow
regime
around
caverns.
This
comparative
study
can
not
only
exactly
identify
capabilities
cavern
but
also
comprehensively
Water,
Journal Year:
2024,
Volume and Issue:
16(23), P. 3389 - 3389
Published: Nov. 25, 2024
Climate
change
is
projected
to
bring
substantial
changes
hydroclimatic
extremes,
which
will
affect
natural
river
regimes
and
have
wide-ranging
impacts
on
human
health
ecosystems,
particularly
in
Central
Highland
Vietnam.
This
study
focuses
understanding
quantifying
the
of
climate
streamflow
Kon-Ha
Thanh
River
basin,
using
Soil
Water
Assessment
Tool
(SWAT)
between
2016
2099.
The
examined
across
three
time
periods
(2016–2035,
2046–2065,
2080–2029)
under
two
scenarios,
Representative
Conversion
Pathways
(RCPs)
4.5
8.5.
model
was
developed
validated
a
daily
scale
with
performance,
yielding
good
performance
scores,
including
Coefficient
Determination
(R2),
Nash-Sutcliffe
Efficiency
(NSE),
Root
Mean
Squared
Error
(RMSE)
values
0.79,
0.77,
50.96
m3/s,
respectively.
Our
findings
are
(1)
during
wet
season
increase
by
up
150%,
December,
RCP
8.5;
(2)
dry
flows
expected
decrease
over
10%,
beginning
May,
heightening
risk
water
shortages
critical
agricultural
periods;
(3)
shifts
timing
flood
seasons
found
toward
2099
that
require
adaptive
measures
for
resource
management.
These
provide
scientific
foundation
incorporating
into
regional
management
strategies
enhancing
resilience
local
communities
future
challenges.
Hydrological Processes,
Journal Year:
2024,
Volume and Issue:
38(10)
Published: Oct. 1, 2024
The
data
that
support
the
findings
of
this
study
are
available
on
request
from
corresponding
author.
not
publicly
due
to
privacy
or
ethical
restrictions.
Video
S1.
Hydrologic
assessments
using
Gridded
Precipitation
Products.
Please
note:
publisher
is
responsible
for
content
functionality
any
supporting
information
supplied
by
authors.
Any
queries
(other
than
missing
content)
should
be
directed
author
article.
Frontiers in Environmental Science,
Journal Year:
2025,
Volume and Issue:
13
Published: April 24, 2025
Introduction
Soil
erosion
is
a
critical
issue
faced
by
many
regions
around
the
world,
especially
in
purple
soil
hilly
areas.
Rainfall
and
slope,
as
major
driving
factors
of
erosion,
pose
significant
challenge
quantifying
their
impact
on
hillslope
runoff
sediment
yield.
While
existing
studies
have
revealed
effects
rainfall
intensity
slope
comprehensive
analysis
interactions
between
different
types
still
lacking.
To
address
this
gap,
study,
based
machine
learning
methods,
explores
type,
amount,
maximum
30-min
(I30),
depth
(H)
erosion-induced
yield
(S),
unveils
among
these
factors.
Methods
The
K-means
clustering
algorithm
was
used
to
classify
43
events
into
three
types:
A-type,
B-type,
C-type.
A-type
characterized
long
duration,
large
amounts,
moderate
intensity;
B-type
short
small
high
C-type
intermediate
B-type.
Random
Forest
(RF)
employed
assess
impacts
yield,
along
with
feature
importance
analysis.
Results
results
show
that
amount
has
most
Under
types,
ranking
I30
H
S
follows:
(C>A>B),
(A>B>C).
follows
trend
first
increasing
then
decreasing,
varying
degrees
influence
depending
type.
Discussion
novelty
study
lies
combining
techniques
systematically
evaluate,
for
time,
type
This
research
not
only
provides
theoretical
basis
control
but
also
offers
scientific
support
precise
prediction
management
conservation
measures
regions.
