Sustainability,
Год журнала:
2024,
Номер
16(14), С. 6141 - 6141
Опубликована: Июль 18, 2024
Extreme
precipitation
and
flooding
frequency
associated
with
global
climate
change
are
expected
to
increase
worldwide,
major
consequences
in
floodplains
areas
susceptible
flooding.
The
purpose
of
this
review
was
examine
the
effects
events
on
changes
soil
properties
their
agricultural
production.
Flooding
is
caused
by
natural
anthropogenic
factors,
can
be
amplified
interactions
between
rainfall
catchments.
impacts
structure
aggregation
altering
resistance
slaking,
which
occurs
when
aggregates
not
strong
enough
withstand
internal
stresses
rapid
water
uptake.
disruption
enhance
erosion
sediment
transport
during
contribute
sedimentation
bodies
degradation
aquatic
ecosystems.
Total
precipitation,
flood
discharge,
total
main
factors
controlling
suspended
mineral-associated
organic
matter,
dissolved
particulate
matter
loads.
Studies
conducted
paddy
rice
cultivation
show
that
flooded
reduced
conditions
neutralize
pH
but
reversible
upon
draining
soil.
In
soil,
nitrogen
cycling
linked
decreases
oxygen,
accumulation
ammonium,
volatilization
ammonia.
Ammonium
primary
form
inorganic
porewaters.
floodplains,
nitrate
removal
enhanced
high
denitrification
intermittent
provides
necessary
anaerobic
conditions.
soils,
reductive
dissolution
minerals
release
phosphorus
(P)
into
solution.
Phosphorus
mobilized
events,
leading
increased
availability
first
weeks
waterlogging,
generally
time.
Rainstorms
promote
subsurface
P-enriched
particles,
colloidal
P
account
for
up
64%
tile
drainage
water.
Anaerobic
microorganisms
prevailing
utilize
alternate
electron
acceptors,
such
as
nitrate,
sulfate,
carbon
dioxide,
energy
production
decomposition.
metabolism
leads
fermentation
by-products,
acids,
methane,
hydrogen
sulfide,
influencing
pH,
redox
potential,
nutrient
availability.
Soil
enzyme
activity
presence
various
microbial
groups,
including
Gram+
Gram−
bacteria
mycorrhizal
fungi,
affected
Waterlogging
β-glucosidase
acid
phosphomonoesterase
increases
N-acetyl-β-glucosaminidase
Since
these
enzymes
control
hydrolysis
cellulose,
phosphomonoesters,
chitin,
moisture
content
impact
direction
magnitude
supply
oxygen
submerged
plants
limited
because
its
diffusion
extremely
low,
mitochondrial
respiration
plant
tissues.
Fermentation
only
viable
pathway
plants,
which,
under
prolonged
waterlogging
conditions,
inefficient
results
death.
Seed
germination
also
impaired
stress
due
decreased
sugar
phytohormone
biosynthesis.
sensitivity
different
crops
varies
significantly
across
growth
stages.
Mitigation
adaptation
strategies,
essential
management
agriculture,
resilience
through
improved
practices,
amendments
rehabilitation
techniques,
best
zero
tillage
cover
crops,
development
flood-tolerant
crop
varieties.
Technological
advances
play
a
crucial
role
assessing
dynamics
landscapes.
This
embarks
comprehensive
journey
existing
research
unravel
intricate
interplay
production,
environment.
We
synthesize
available
knowledge
address
critical
gaps
understanding,
identify
methodological
challenges,
propose
future
directions.
Journal of Hydrology Regional Studies,
Год журнала:
2024,
Номер
52, С. 101739 - 101739
Опубликована: Март 14, 2024
Yangtze
River
Delta
core
urban
agglomeration,
China
Traditional
research
on
flood
susceptibility
assessment
using
machine
learning
often
seeks
to
enhance
model
performance
by
increasing
the
number
of
input
variables,
which
is
impractical
in
regions
with
limited
data
availability.
In
this
study,
we
constructed
a
variable
system
comprising
13
features
for
through
techniques.
A
flexible
framework,
primarily
incorporating
methods
importance
value
calculation
and
repeated
random
sampling,
were
established
identify
minimal
set
that
yield
high-performance
classifiers.
Finally,
feasibility
proposed
framework
was
verified
comparing
classifier
performances
maps.
Results
underscored
significance
such
as
Land
Use
/
Cover,
Impervious
Area,
Normalized
Difference
Vegetation
Index,
Distance
Lake
Built-up
Probability
development.
These
five
proved
sufficient
produce
Area
Under
Curve
(AUC)
indices
exceeding
0.9
both
training
testing
data.
Susceptibility
maps
generated
varying
feature
counts
revealed
vegetation
cover
near
lakes
face
higher
susceptibility.
The
framework's
viability
confirmed
excellent
(mean
AUC
>
0.9)
reduced
consistent
outcomes
maps,
offering
theoretical
technical
support
flooding
data-constrained
regions.
Journal of Geophysical Research Atmospheres,
Год журнала:
2025,
Номер
130(2)
Опубликована: Янв. 16, 2025
Abstract
Heatwave
preconditioned‐heavy
rainfall
(HW_HR),
a
preconditioned
compound
event,
can
cause
more
damage
than
single
heatwave
or
rainstorm.
Both
heatwaves
and
rainstorms
be
exacerbated
by
the
presence
of
cities,
but
response
their
compounding
to
urbanization
remains
unclear
especially
at
hourly
scale.
Here,
we
investigate
spatial
temporal
responses
HW_HR
typical
urban
agglomeration,
Pearl
River
Delta,
using
observations
scenario‐based
numerical
simulations.
Compared
rural
areas,
show
that
in
areas
has
higher
probability
occurrence
mean
intensity,
its
diurnal
cycle
frequency
is
narrower,
peaking
afternoon.
The
intensity
effects
most
significant,
with
urbanization‐induced
increase
being
five
times
non‐heatwave
(noHW_HR).
Our
simulations
support
suggest
changes
are
intense
spatially
heterogeneous
relatively
weak
continuous
noHW_HR.
also
preconditioning
not
only
amplifies
key
variables
alter
atmospheric
conditions
provides
pre‐storm
unstable
environment
for
urban‐induced
warm‐dry
surface
trigger
enhance
convection.
sub‐daily
suggests
preconditioning‐induced
thermodynamic
gradually
decrease,
whereas
dynamic
as
event
approaches.
study
highlights
importance
understanding
on
events,
providing
new
insights
into
role
preconditions
water
cycle.
Water,
Год журнала:
2025,
Номер
17(6), С. 841 - 841
Опубликована: Март 14, 2025
Urban
flooding
is
typically
caused
by
multiple
factors,
with
extreme
rainfall
and
rising
water
levels
in
receiving
bodies
both
contributing
to
increased
flood
risks.
This
study
focuses
on
assessing
urban
risks
Jinhua
City,
Zhejiang
Province,
China,
considering
the
combined
effects
of
high
river
levels.
Using
historical
data
from
station
(2005–2022),
constructed
a
joint
probability
distribution
via
copula
function.
The
findings
show
that
risk
significantly
higher
than
each
factor
separately,
indicating
ignoring
their
interaction
could
greatly
underestimate
Scenario
simulations
using
Infoworks
ICM
model
demonstrate
areas
range
0.67%
5.39%
under
baseline
scenario
but
increase
8.98–12.80%
when
50a
return
period
level.
High
play
critical
role
increasing
extent
depth
flooding,
especially
low
coincides
These
highlight
importance
compound
disaster-causing
factors
assessment
can
serve
as
reference
for
drainage
control
planning
management.
