Agronomy,
Journal Year:
2024,
Volume and Issue:
14(11), P. 2674 - 2674
Published: Nov. 14, 2024
Remote
sensing
spatiotemporal
fusion
technology
can
provide
abundant
data
source
information
for
assimilating
crop
growth
model
data,
enhancing
monitoring,
and
providing
theoretical
support
irrigation
management.
This
study
focused
on
the
winter
wheat
planting
area
in
southeastern
part
of
Loess
Plateau,
a
typical
semi-arid
region,
specifically
Linfen
Basin.
The
SEBAL
ESTARFM
were
used
to
obtain
8
d,
30
m
evapotranspiration
(ET)
period
wheat.
Then,
based
‘localization’
CERES-Wheat
model,
fused
results
incorporated
into
assimilation
process
further
determine
optimal
method.
indicate
that
(1)
ET
accurately
capture
spatial
details
(R
>
0.9,
p
<
0.01).
(2)
calibrated
characteristic
curve
effectively
reflects
variation
throughout
while
being
consistent
with
trend
magnitude
variation.
(3)
correlation
between
Ensemble
Kalman
filter
(EnKF)
(R2
=
0.7119,
0.01)
was
significantly
higher
than
Four-Dimensional
Variational
(4DVar)
0.5142,
particle
(PF)
0.5596,
guidance
improve
yield
water
use
efficiency
which
will
help
promote
sustainable
agricultural
development.
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.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 27, 2025
The
Chi
and
Mun
River
Basins,
the
primary
tributary
of
Mekong
Basin
in
Thailand,
is
undergoing
significant
land
use
changes
that
impact
water
quality.
Understanding
relationship
between
quality
crucial
for
effective
river
basin
management,
providing
insights
applicable
to
global
systems.
While
past
studies
have
examined
Basin,
research
specifically
focusing
on
Chi-Mun
remains
limited.
This
study
analyzes
spatial
temporal
effects
from
2007
2021
using
change
estimation,
11
parameters,
redundancy
analysis
(RDA).
Water
samples
were
collected
January,
March,
May,
August
across
multiple
years.
Seasonal
variations
assessed,
with
dry
season
January
March
wet
May
August.
Key
findings
include:
(1)
pH,
Biochemical
Oxygen
Demand,
Total
Coliform
Bacteria,
Fecal
Phosphorus,
Nitrate
Nitrogen,
Ammonia-Nitrogen,
Suspended
Solids
increased
during
season,
while
(2)
Dissolved
Oxygen,
Electrical
Conductivity,
Quality
Index
higher
season.
(3)
Land
had
a
greater
driven
by
runoff
expanding
urban
agricultural
areas
declining
paddy
forest
cover.
(4)
Forests
aquatic
improved
quality,
expansion
contributed
its
deterioration.
These
underscore
need
sustainable
management
strategies
balance
regional
development
ecological
conservation
Basin.
