Sustainable Water Resources Management,
Год журнала:
2024,
Номер
10(6)
Опубликована: Ноя. 15, 2024
Abstract
Arid
regions
such
as
Saudi
Arabia
are
facing
water
scarcity
and
availability
issues
experiencing
growing
pressure
by
rapid
consumption.
Determining
the
main
driving
forces
contributing
to
rising
demands
future
demand
prediction
considered
cornerstone
for
developing
a
good
sustainable
management
plan.
Al-Madinah
city
was
chosen
case
study.
In
this
study,
population,
affluence,
technology
(IPAT)
model
has
been
modified
apply
in
sector
analyse
needs
from
1990
2020
examines
factors
including
GDP-per
capita,
agricultural
lands/GDP
built-up
area/agricultural
lands.
addition,
Sheared
Socio-economic
Scenarios
(SSPs)
have
developed
predict
2030.
The
results
confirm
that
population
most
important
explaining
consumption
trends.
Moreover,
under
all
IPCC_
SSP
scenarios
is
expected
increase
between
17
28%.
of
SSP3
SSP4
projected
experience
an
average
25%
26%,
respectively.
contrast,
forecasted
lower
SSP1
SSP5
around
20%
17%,
This
evaluation
could
highly
reinforce
improve
resource
strategies,
which
recently
become
increasingly
essential
face
challenges
demands.
Agronomy,
Год журнала:
2024,
Номер
14(12), С. 2987 - 2987
Опубликована: Дек. 15, 2024
Water
delivery
management
in
China’s
irrigation
districts
has
traditionally
prioritized
the
main
canal
system,
often
overlooking
water-saving
potential
of
final
canals
and
field
irrigation,
which
offer
substantial
opportunities
to
enhance
water
use
efficiency
conserve
agricultural
resources.
This
study
summarizes
defines
integrated
as
terminal
management.
An
optimization
method
was
developed
improve
management,
includes
optimizing
quotas
based
on
balance
scheduling
minimize
seepage
losses.
A
genetic
algorithm
employed
solve
problem.
The
applied
Hongjin
district
Jiangsu
Province,
China.
In
2020,
paddy
observed,
revealing
that
amount
for
organic
traditional
rice
1113
mm
956
mm,
respectively.
Conventional
practices
have
led
extensive
drainage,
significant
rainwater
wastage,
inefficient
use.
optimized
resulted
savings
302.5
325.9
respectively,
compared
2020
monitored
data.
event
early
August
during
a
75%
hydrological
frequency
year
selected
an
example.
With
conventional
scheduling,
reduced
losses
from
6.3%
4.6%,
shortened
time
17
h
14
h,
stabilized
flow
rates.
proposed
is
valuable
tool
enhancing
supporting
better
decisions
districts.
Water,
Год журнала:
2024,
Номер
16(12), С. 1714 - 1714
Опубликована: Июнь 16, 2024
Water
scarcity
is
commonly
evaluated
using
the
water
resource
stress
index
(WRSI).
However,
conventional
WRSI
model
cannot
effectively
reflect
shortage
in
humid
areas,
which
may
lead
to
distorted
evaluation
results.
To
solve
this
problem,
an
improved
has
been
designed.
In
WRSI,
assessment
year
first
divided
into
multiple
periods.
Then,
temporal
(T-WRSI)
built
evaluate
each
period.
Finally,
comprehensive
(C-WRSI)
constructed
based
on
entropy
weight
(EWM)
synthetically
assess
condition.
The
of
Yongzhou
City
taken
as
a
sample
for
evaluation.
results
are
follows.
(i)
Lingling-Lengshuitan
District
and
Dong’an
County
suffer
from
most
serious
shortage.
Their
C-WRSI
values
0.464
0.458,
respectively,
both
“high”
grades.
(ii)
T-WRSI
more
than
0.4
August
October
indicating
that
major
key
period
October.
(iii)
reasons
annual
runoff
distribution
uneven
with
uniformity
coefficient
(Cv)
0.83,
main
irrigation
periods
coincidentally
accompanied
by
retreat
rainfall.
(iv)
measures
strengthen
management,
optimize
plant
structure,
construct
reservoirs.
(v)
calculated
region
95–168%
larger
those
WRSI.
better
capacities
evaluating
induced
within
identifying
regions.
Sustainable Water Resources Management,
Год журнала:
2024,
Номер
10(6)
Опубликована: Ноя. 15, 2024
Abstract
Arid
regions
such
as
Saudi
Arabia
are
facing
water
scarcity
and
availability
issues
experiencing
growing
pressure
by
rapid
consumption.
Determining
the
main
driving
forces
contributing
to
rising
demands
future
demand
prediction
considered
cornerstone
for
developing
a
good
sustainable
management
plan.
Al-Madinah
city
was
chosen
case
study.
In
this
study,
population,
affluence,
technology
(IPAT)
model
has
been
modified
apply
in
sector
analyse
needs
from
1990
2020
examines
factors
including
GDP-per
capita,
agricultural
lands/GDP
built-up
area/agricultural
lands.
addition,
Sheared
Socio-economic
Scenarios
(SSPs)
have
developed
predict
2030.
The
results
confirm
that
population
most
important
explaining
consumption
trends.
Moreover,
under
all
IPCC_
SSP
scenarios
is
expected
increase
between
17
28%.
of
SSP3
SSP4
projected
experience
an
average
25%
26%,
respectively.
contrast,
forecasted
lower
SSP1
SSP5
around
20%
17%,
This
evaluation
could
highly
reinforce
improve
resource
strategies,
which
recently
become
increasingly
essential
face
challenges
demands.
