Social-Hydrological Dynamics along the Yellow River Belt: A Temporal-Spatial Investigation of Regional Groundwater Use in a Source-to-Sink Manner
Xintong Niu,
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Jingyu Liu,
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Yinmao Zhao
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et al.
Environmental Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 21, 2025
Language: Английский
What drives water conservation in the supply chain of the Yellow River Basin? An empirical analysis based on SPD
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(8), P. e0306519 - e0306519
Published: Aug. 1, 2024
Industrial
water
saving
is
an
objective
requirement
for
the
high-quality
development
of
Yellow
River
Basin,
as
resource
largest
rigid
constraint.
In
this
study,
resources
input-output
model,
structural
decomposition
analysis
(SDA)
and
path
(SPA)
were
constructed
to
decompose
driving
factors
total
use
in
typical
water-deficient
provinces
(Ningxia,
Shanxi,
Henan)
China’s
calculate
their
at
each
production
stage
identify
key
water-saving
pathways.
The
results
follows:
(i)
Water
intensity
had
most
obvious
impact
on
saving,
resulting
efficiency
improvements
81.39%,
9.21%,
78.45%
province,
respectively.
next
factor
was
final
demand
structure,
which
suppressed
efforts
by
24.23%,
11.52%,
113.12%
respective
provinces.
(ii)
paths
Basin
primarily
centered
around
Sector
1.
(iii)
a
strong
effect
three
provinces,
with
contribution
rates
100.42%,
59.02%,
42.34%
Ningxia,
Henan,
Final
also
contributed
Shanxi
35.06%
28.23%,
However,
it
inhibited
reducing
8.64%.
Policy
measures
should
be
tailored
local
conditions.
Language: Английский
Spatial correlations and risk transmission of virtual water flow at city scale: A case study of the Yellow River Basin
Geography and sustainability,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 1, 2024
By
introducing
virtual
water
(VW)
flow
correlation
coefficients
and
risk
indicators,
this
study
examines
the
VW
transmission
relationship
between
urban
agglomerations
cities
in
Yellow
River
Basin
(YRB)
its
impact
on
regional
resources
pressure.
The
results
show
that:
except
for
Shandong
Peninsula
Urban
Agglomeration
(SPUA)
Central
Plains
(CPUA),
other
primarily
act
as
exporting
regions,
while
water-importing
are
concentrated
eastern
regions.
Notably,
Ningxia
(NUA)
demonstrates
significantly
higher
values
sensitivity
than
remaining
six
agglomerations.
First-tier
generally
display
lower
coefficients,
whereas
emerging
exhibit
opposite
trend.
Additionally,
we
observe
uneven
variations
importing
Taking
NUA
an
example,
increase
resulting
from
exports
exceeds
reduction
associated
with
imports
corresponding
It's
important
to
highlight
that
first-tier
consistently
decrease
resource
through
both
years.
However,
among
second
third-tier
cities,
only
38.9%
experience
reduced
imports.
Therefore,
recommend
a
focused
examination
of
western
region
agglomerations,
within
watershed.
Leveraging
water's
asymmetric
high-value
transfer
can
alleviate
pressure
scarcity
risks
high-pressure
regions
by
shifting
them
lower-pressure
thus
mitigating
stress
across
Language: Английский
Modifying the virtual water trade of rice for global sustainability of freshwater resources
Sustainable Water Resources Management,
Journal Year:
2024,
Volume and Issue:
10(6)
Published: Oct. 29, 2024
Language: Английский
Exploring the Water-Energy Interaction Process and Nexus in Beijing-Tianjin-Hebei to Enhance Sustainable Cross-Regional Resource Management
Published: Jan. 1, 2024
Language: Английский
Prediction and Analysis of metabolic mechanism for regional water system from the perspective of quantity-quality collaborative control——A case study of Zhejiang Province, China
Environmental and Sustainability Indicators,
Journal Year:
2024,
Volume and Issue:
unknown, P. 100571 - 100571
Published: Dec. 1, 2024
Language: Английский