ISPRS International Journal of Geo-Information,
Год журнала:
2024,
Номер
13(10), С. 357 - 357
Опубликована: Окт. 8, 2024
China’s
vulnerability
to
fluvial
floods
necessitates
extensive
exposure
studies.
Previous
large-scale
regional
analyses
often
relied
on
a
limited
set
of
assessment
indicators
due
challenges
in
data
acquisition,
compounded
by
the
scarcity
corresponding
flood
distribution
data.
The
integration
public
datasets
offers
potential
solution
these
challenges.
In
this
study,
we
obtained
four
key
indicators—population,
built-up
area
(BA),
road
length
(RL),
and
average
gross
domestic
product
(GDP)—and
conducted
an
innovative
analysis
their
correlations
both
overall
locally.
Utilising
indicators,
developed
comprehensive
index
employing
entropy-weighting
k-means
clustering
methods
assessed
across
multiple
return
periods
using
maps.
used
for
as
well
maps,
are
primarily
derived
from
remote
sensing
products.
Our
findings
indicate
weak
correlation
between
various
at
global
local
scales,
underscoring
limitations
singular
thorough
assessment.
Notably,
observed
significant
concentration
river
flooding
east
Hu
Line,
particularly
within
eastern
coastal
region.
As
extended
10
500
years,
extent
areas
with
depths
exceeding
1
m
expanded
markedly,
encompassing
2.24%
territory.
This
expansion
heightened
risks
15
administrative
regions
varying
levels,
Jiangsu
(JS)
Shanghai
(SH).
research
provides
robust
framework
understanding
risk
dynamics,
advocating
resource
allocation
towards
prevention
control
high-exposure,
high-flood
areas.
establish
solid
scientific
foundation
effectively
mitigating
China
promoting
sustainable
development.
Sustainability,
Год журнала:
2023,
Номер
15(17), С. 12945 - 12945
Опубликована: Авг. 28, 2023
Sustainability
is
one
of
the
fastest-growing
research
areas
globally.
Irrespective
industry
and
economic
activity,
it
need
day.
This
study
examines
impact
green
process
innovation
production
on
sustainability
in
Pakistan
India’s
cement
plastic
manufacturing
industries.
The
also
addresses
moderating
role
environmental
awareness,
which
increases
effect
productivity
towards
sustainability.
based
a
quantitative
approach
to
addressing
issue
question.
Primary
data
were
collected
via
closed-ended
questionnaire
from
657
employees
industries,
analyzed
partial
least
square
structural
equation
modeling
SmartPLS.
findings
show
that
have
significant
sustainability,
while
awareness
plays
sustainable
practices
industries
India.
results
are
helpful
for
policymakers,
other
governmental
non-governmental
organizations
ensure
through
innovation,
productivity,
awareness.
Sustainable Horizons,
Год журнала:
2024,
Номер
9, С. 100092 - 100092
Опубликована: Фев. 1, 2024
Hydrological
modeling
often
requires
long-term
and
stable
runoff
data.
Due
to
limitations
in
hydrological
stations,
small-scale
catchments
faces
the
challenge
of
data
scarcity.
To
overcome
incomplete
data,
an
integrated
approach
that
includes
a
semi-distributed
hydrodynamic
numerical
model
was
employed
catchment
located
Isserstedt,
upstream
Leutra
River,
Germany.
The
results
indicated
this
effectively
leverages
strengths
each
reasonably
predicted
peak
flows.
As
measure
for
regional
management,
keyline
method
contributed
more
hydrographs
lower
flows,
played
role
water
storage
local
climate
regulation.
framework
proposed
study
provided
valuable
insights
into
critical
storms,
hydrographs,
flood
extent
storm
extremes.
The Science of The Total Environment,
Год журнала:
2024,
Номер
948, С. 174389 - 174389
Опубликована: Июль 2, 2024
Climate
change
leads
to
more
frequent
and
intense
heavy
rainfall
events,
posing
significant
challenges
for
urban
stormwater
management,
particularly
in
rapidly
urbanizing
cities
of
developing
countries
with
constrained
infrastructure.
However,
the
quantitative
assessment
stormwater,
encompassing
both
its
volume
quality,
these
regions
is
impeded
due
scarcity
observational
data
resulting
limited
understanding
drainage
system
dynamics.
This
study
aims
elucidate
present
projected
states
flooding,
a
specific
emphasis
on
fecal
organic
contamination
caused
by
combined
sewer
overflow
(CSO).
Leveraging
hydrological
model
incorporating
physical
biochemical
processes
validated
against
invaluable
data,
we
undertake
simulations
estimate
discharge,
flood
volume,
concentrations
suspended
solids
(SS),
Escherichia
coli
(E.
coli),
chemical
oxygen
demand
(COD)
within
channel
network
Phnom
Penh
City,
Cambodia.
Alterations
volumes,
pollutant
loads
under
two
representative
concentration
pathways
(RCPs
4.5
8.5)
extreme
events
are
projected.
Furthermore,
employ
multi-criteria
decision
analysis
(MCDA)
framework
evaluate
risk,
diverse
indicators
physical,
social,
ecological
dimensions.
Our
results
demonstrate
exacerbating
effects
climate
expansion
flooded
areas,
prolonged
durations
inundation,
elevated
vulnerability
index,
heightened
susceptibility
scenarios,
underscoring
increased
risks
flooding
contamination.
Spatial
identifies
zones
exhibiting
change,
suggesting
priority
investment
mitigation
measures.
These
findings
provide
crucial
insights
planning
management
infrastructure,
offering
essential
guidance
decision-making
locales
facing
similar
challenges.
