Hydrological Processes,
Год журнала:
2025,
Номер
39(2)
Опубликована: Фев. 1, 2025
ABSTRACT
Catchment
water
quality
models
are
common
tools
for
assessing
hydrochemical
processes
in
catchments.
They
improve
the
process
understanding
and
help
to
identify
pollutant
sources.
However,
spatial
temporal
resolution
of
many
is
too
coarse
represent
occurring
within
minutes
or
hours,
making
them
unsuitable
use
fast‐responding
Examples
such
cases
headwater
catchments
influenced
by
urban
agglomerations.
ZIN‐AgriTra
a
physically
based
model
that
allows
simulations
with
fine
(<
1
h)
100
m)
resolution.
As
it
also
implementation
point
sources,
suitable
simulation
mixed
land
use.
In
this
study,
we
test
first
time
ability
nitrogen
transport
transformation
source
catchment.
High
series
wastewater
treatment
plant
(WWTP)
effluent
quantities
were
available
as
input
model.
For
combined
sewer
overflow
(CSO)
discharges,
only
discharge
times
measured.
knowledge
was
still
valuable
during
calibration
improved
CSO
contributions
events.
Our
setup
modelling
strategy
allowed
us
simulate
nitrate
ammonium
export
from
catchment
sufficiently.
Overall,
sources
have
significant
impact
sensitivity
parameters
influencing
mixing
ratio
between
stream
discharge.
found
large
on
quantity,
not
considering
would
inevitably
lead
incorrect
parameterisation
parameters.
Models
should
become
more
inclusive
order
be
able
catchments,
especially
places,
where
data
availability
limited.
Water,
Год журнала:
2024,
Номер
16(13), С. 1904 - 1904
Опубликована: Июль 3, 2024
Machine
learning
(ML)
applications
in
hydrology
are
revolutionizing
our
understanding
and
prediction
of
hydrological
processes,
driven
by
advancements
artificial
intelligence
the
availability
large,
high-quality
datasets.
This
review
explores
current
state
ML
hydrology,
emphasizing
utilization
extensive
datasets
such
as
CAMELS,
Caravan,
GRDC,
CHIRPS,
NLDAS,
GLDAS,
PERSIANN,
GRACE.
These
provide
critical
data
for
modeling
various
parameters,
including
streamflow,
precipitation,
groundwater
levels,
flood
frequency,
particularly
data-scarce
regions.
We
discuss
type
methods
used
significant
successes
achieved
through
those
models,
highlighting
their
enhanced
predictive
accuracy
integration
diverse
sources.
The
also
addresses
challenges
inherent
applications,
heterogeneity,
spatial
temporal
inconsistencies,
issues
regarding
downscaling
LSH,
need
incorporating
human
activities.
In
addition
to
discussing
limitations,
this
article
highlights
benefits
utilizing
high-resolution
compared
traditional
ones.
Additionally,
we
examine
emerging
trends
future
directions,
real-time
quantification
uncertainties
improve
model
reliability.
place
a
strong
emphasis
on
citizen
science
IoT
collection
hydrology.
By
synthesizing
latest
research,
paper
aims
guide
efforts
leveraging
large
techniques
advance
enhance
water
resource
management
practices.
Sustainable Cities and Society,
Год журнала:
2024,
Номер
113, С. 105654 - 105654
Опубликована: Июль 9, 2024
Ensuring
sustainable
water
and
electricity
consumption
in
urban
residential
buildings
is
a
growing
challenge
worldwide,
particularly
rapidly
developing
regions
with
harsh
climates.
This
study
examines
the
seasonal
variation
of
Doha,
Qatar,
exploring
interconnectedness
land
use/land
cover
(LULC)
socio-demographic
characteristics
household
consumption.
For
this
purpose,
we
employed
statistical
analysis
(i.e.
Pearson
correlation
Bootstrap
analysis)
advanced
geostatistical
models,
including
Geographically
Weighted
Regression
(GWR)
Multiscale
(MGWR),
to
analyze
monitor
spatial
variations
The
methods
involved
assessing
relationship
between
surface
temperature
(LST),
water-electricity
consumption,
analyzing
impact
demographic
variables.
Key
findings
indicate
significant
spatiotemporal
influenced
by
changes
LULC
such
as
size
structure.
highlight
need
for
integrated
planning
energy
policies
that
consider
impacts
enhance
efficiency
sustainability
settings.
Furthermore,
results
underscore
importance
addressing
complex
interplay
development
resource
policy-making.
Wiley Interdisciplinary Reviews Water,
Год журнала:
2025,
Номер
12(1)
Опубликована: Янв. 1, 2025
ABSTRACT
As
climatic
extremity
intensifies,
a
fundamental
rethink
is
needed
to
promote
the
sustainable
use
of
freshwater
resources.
Both
floods
and
droughts,
including
water
scarcity,
are
exacerbating
declines
in
river
biodiversity
ecosystem
services,
with
consequences
for
both
people
nature.
Although
this
global
challenge,
densely
populated
regions
such
as
Europe,
East
Asia
North‐America,
well
most
affected
by
climate
change,
particularly
vulnerable.
To
date
mitigation
measures
have
mainly
focused
on
individual,
local‐scale
targets,
often
neglecting
hydrological
connectivity
within
catchments
interactions
among
hydrology,
biodiversity,
change
human
wellbeing.
A
comprehensive
approach
improve
infiltration,
retention
groundwater
recharge,
thereby
mitigating
impacts
heavy
rainfall
droughts
scarcity.
We
propose
holistic
catchment‐scale
framework
that
combines
conventional
civil
engineering
methods,
nature‐based
solutions
conservation
actions.
This
integrates
legislation,
substantial
funding
governance
structure
transcends
administrative
discipline
boundaries,
enabling
coordinated
actions
across
multiple
spatial
temporal
scales.
It
necessitates
collaboration
local
regional
stakeholders
citizens,
scientists
practitioners.
vision
management
resources
could
synergistic
effects
support
mitigate
functional
ecosystems
deliver
benefits
people.
Hydrology,
Год журнала:
2025,
Номер
12(2), С. 41 - 41
Опубликована: Фев. 19, 2025
Urban
green
spaces,
including
roofs
(GRs),
are
vital
infrastructure
for
climate
resilience,
retaining
water
in
city
landscapes
and
supporting
ecohydrological
processes.
Quantifying
the
hydrologic
performance
of
GRs
urban
environment
future
scenarios
is
original
contribution
this
research
developed
within
URCA!
project.
For
purpose,
a
continuous
modelling
approach
undertaken
to
evaluate
hydrological
expressed
by
means
runoff
volume
peak
flow
reduction
at
event
scale
long
data
series
(at
least
20
years).
To
investigate
prediction
climates,
simple
methodological
proposed,
using
monthly
projection
factors
definition
rainfall
temperature
time
series,
transferring
system
parametrization
current
model
one.
The
proposed
tested
experimental
GR
sites
Genoa
Rende,
located
Northern
Southern
Italy,
respectively.
Referring
both
Rende
sites,
simulation
results
analysed
demonstrate
how
varies
with
respect
characteristics,
total
depth,
maximum
intensity
ADWP
scenarios.