Altitude characteristics in the response of rain-on-snow flood risk to future climate change in a high-latitude water tower
Journal of Environmental Management,
Год журнала:
2024,
Номер
369, С. 122292 - 122292
Опубликована: Сен. 3, 2024
Язык: Английский
Estimation of water budget components under climate change in Al-Shour Valley Basin, Northern Iraq
Modeling Earth Systems and Environment,
Год журнала:
2025,
Номер
11(3)
Опубликована: Март 29, 2025
Язык: Английский
The Measure of Scarcity of Blue and Green Water and Its Driving Factors via the SWAT Model: An Application to the Upper Qingjiang River, China
Irrigation and Drainage,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 4, 2025
ABSTRACT
Blue
and
green
water
is
vital
for
the
economy
life.
Water
scarcity
occurs
when
resource
supply
insufficient
to
support
human,
ecological
economic
activities
within
a
certain
time
space.
The
index
quantifies
regional
blue–green
shortages
providing
new
perspective
evaluating
usage.
Moreover,
analysing
driving
factors
of
changes
can
offer
reliable
reference
exploring
their
causes.
Taking
Qingjiang
River
as
an
example,
this
study
first
used
SWAT
model
simulate
upper
River's
monthly
streamflow.
Then,
management
levels
were
mapped
township
scale
via
GIS
calculate
scarcities.
Finally,
geo‐detector
detected
impacts
natural
socio‐economic
on
water.
results
show
that
(1)
has
good
simulation
accurately
describes
cycle
process
in
River.
(2)
From
2010
2022,
blue
indices
stable,
whereas
increased
but
then
decreased.
(3)
force
interaction
stronger
than
single‐factor
effect
This
examines
conditions
basin,
offering
insights
township‐scale
management.
Язык: Английский
Estimation of long-term river discharge and benefits evaluation of ecological water conveyance in Ertanggou basin from 2000 to 2020
Junzhong Lei,
Adilai Wufu,
Chao Xu
и другие.
PLoS ONE,
Год журнала:
2025,
Номер
20(5), С. e0321990 - e0321990
Опубликована: Май 9, 2025
Given
the
current
ecological
degradation
in
inland
arid
river
basins
of
our
country,
water
conveyance
has
increasingly
become
a
critical
measure
to
alleviate
pressures
scarcity
on
ecosystems
and
promote
regional
sustainable
development.
The
Ertanggou
watershed
Xinjiang
was
selected
as
study
area.
This
utilized
Remote
Sensing
Hydrological
Station
(RSHS)
technology
calculate
discharge
for
typical
cross-sections
Tulufan
basin
from
2000
2020.
also
analyzed
impact
different
land
types
using
cover
type
data
assess
benefits
conveyance.
RSHS
offers
reliable
support
estimating
evaluating
average
annual
growth
rates
at
sections
are
0.36%,
1.2%,
0.77%
respectively
2000–2016.
All
monitored
were
glacial
meltwater-dominated,
accelerated
melting
glaciers
caused
by
climate
warming
main
reason
increasing
trend.
From
2016
2020,
provided
an
0.61
×
10
8
m
3
per
year,
with
up
10%
efficiency.
Reservoir
development
training
have
significantly
increased
this
supply
correlated
changes
landscape
patterns,
such
cultivated
land,
grassland,
bodies
downstream
area
expanded
6.14
5
2
,
while
32.98%.
It
is
evident
that
effectively
promotes
use
optimization
balance.
will
provide
new
ideas
limited
data,
offering
theoretical
future
projects.
Язык: Английский
Spatiotemporal Dynamics and Attribution Analysis of Multitemporal Runoff Patterns for Water Resources and Climate Security in Huaihe River Basin
Land Degradation and Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 8, 2025
ABSTRACT
Understanding
the
spatiotemporal
evolution
and
attribution
of
streamflow
is
critical
for
effective
water
resource
management
climate
security.
This
study
conducts
a
comprehensive
analysis
runoff
dynamics
across
multiple
temporal
scales
in
Huaihe
River
basin,
which
major
hydrological
region
China.
By
examining
annual,
interannual,
interdecadal
trends,
research
delineates
tendencies,
abrupt
changes,
periodicity
patterns.
The
double
mass
curve
(DMC)
method
applied
to
quantify
variations,
incorporating
influences
vegetation
dynamics,
anthropogenic
withdrawals,
change.
results
reveal
highly
uneven
annual
distribution
basin.
Most
hydrometric
stations
show
statistically
insignificant
declining
trends
flood‐season,
non‐flood‐season
runoff,
except
Hengpaitou
section.
Significant
mutation
points
are
detected
around
1990
2000
all
series,
along
with
periodic
fluctuations
featuring
dominant
about
30‐year
cycles.
Attribution
indicates
that
human
activities
account
over
80%
observed
variations.
In
upper
indirect
factors
(e.g.,
land
use
changes
dynamics)
dominate,
whereas
direct
interventions
have
stronger
influence
middle
reaches.
These
findings
enhance
understanding
interactions
between
natural
processes
impacts
on
hydrology,
providing
scientific
basis
sustainable
under
change
basin
similar
regions.
Язык: Английский
Penman–Monteith Reference Evapotranspiration Estimation Models, Using Latitude–Temperature Data, in the State of Sinaloa, Mexico
Опубликована: Июнь 5, 2024
The
goal
of
this
study
is
to
create
regression
models
estimating
the
daily
Penman–Monteith
reference
evapotranspiration
(PMR)
using
latitude–temperature
data
for
state
Sinaloa,
Mexico.
Daily
series
minimum–maximum
temperature
(1979–2017)
were
obtained
from
seven
weather
stations
in
Sinaloa.
was
calculated
by
methods
empirical
equations
(PMC),
Hargreaves
(HAC),
and
PMR.
Prior
calculating
PMC,
incident
solar
radiation
(SR)
calculated.
From
Acaponeta
station
(2005–2008,
2011–2013
2015–2017),
all
complete
observed
variables
obtained:
mean
temperature,
(SRg),
average
relative
humidity
wind
speed
at
a
height
10
m.
eight
provided
National
Meteorological
Service
Water
Commission.
(PMO)
For
validation,
three
simple
linear
regressions
(SLR)
applied:
SR
vs
SRg,
PMC
PMO
PMR
PMO.
hypothesis
tests
applied
each
SLR:
Pearson
correlation
(Pr)
critical
(Pcr).
All
rP
significantly
different
zero
(>
|0.576|):
SRg
(Pr
=
0.951),
0.592),
0.625).
This
provides
new
that
can
motivate
support
design
implementation
intelligent
irrigation
considered
“the
breadbasket
Mexico.”
Язык: Английский
Penman–Monteith Reference Evapotranspiration Estimation Models, Using Latitude–Temperature Data, in the State of Sinaloa, Mexico
Polish Journal of Environmental Studies,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 30, 2024
The
goal
is
to
create
regression
models
estimating
the
daily
Penman-Monteith
reference
evapotranspiration
(PM
R
)
using
latitude-temperature
for
state
of
Sinaloa.The
was
calculated
by
methods
empirical
equations
C
),
Hargreaves
(HA
and
PM
.Prior
calculating
,
incident
solar
radiation
(SR)
calculated.From
Acaponeta
station
(2005-2008,
2011-2013,
2015-2017),
all
complete
observed
variables
were
obtained:
mean
temperature,
(SRg),
average
relative
humidity,
wind
speed
at
a
height
10
m.The
data
from
eight
weather
stations
provided
National
Meteorological
Service
Water
Commission.The
O
calculated.For
validation,
three
simple
linear
regressions
(SLR)
applied:
SR
vs
SRg,
O,
hypothesis
tests
applied
each
SLR:
Pearson
correlation
(Pr)
critical
(Pcr).All
rP
significantly
different
zero
(>
|0.576|):
SRg
(Pr
=
0.951),
0.592),
0.625).This
study
provides
new
that
can
motivate
support
intelligent
irrigation
in
"the
breadbasket
Mexico.
Язык: Английский