Assessing groundwater quality and suitability in Qatar: Strategic insights for sustainable water management and environmental protection
Environmental and Sustainability Indicators,
Год журнала:
2025,
Номер
unknown, С. 100582 - 100582
Опубликована: Янв. 1, 2025
Язык: Английский
Using system dynamics to inform scenario planning: Application to the Souss-Massa basin, Morocco
Journal of Urban Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 1, 2025
Язык: Английский
Estimation of unplanned water use based on system dynamics model in arid areas
Agricultural Water Management,
Год журнала:
2025,
Номер
312, С. 109448 - 109448
Опубликована: Март 29, 2025
Язык: Английский
The role of artificial intelligence (AI) and Chatgpt in water resources, including its potential benefits and associated challenges
Discover Water,
Год журнала:
2024,
Номер
4(1)
Опубликована: Ноя. 26, 2024
Artificial
Intelligence
(AI),
including
models
like
ChatGPT,
is
transforming
water
resources
management
by
improving
hydrological
modeling,
quality
assessment,
and
flood
prediction.
AI
techniques
such
as
Neural
Networks
(ANNs)
Support
Vector
Machines
(SVMs)
have
enhanced
streamflow
predictions
groundwater
management,
particularly
in
data-scarce
regions.
AI-powered
systems
Smart
Microclimate
Control
Systems
(SMCS)
optimize
agricultural
practices,
leading
to
better
resource
conservation
higher
crop
yields.
However,
the
scalability
applicability
of
across
diverse
environments
pose
challenges,
especially
where
data
limited.
The
success
depends
on
quality,
requiring
ongoing
interdisciplinary
research
refine
these
technologies
for
real-world
use.
Additionally,
tools
while
valuable
knowledge
dissemination
analysis,
raise
concerns
about
accuracy
critical
decision-making
contexts.
In
conclusion,
offers
significant
potential
addressing
challenges
related
model
scalability,
collaboration
essential
achieving
sustainable
effective
outcomes.
Язык: Английский
Improving Drinking Water Management Efficiency in Batu City Water Utility with System Dynamics Modelling Approach
Jurnal Teknik Pengairan,
Год журнала:
2024,
Номер
15(1), С. 70 - 79
Опубликована: Май 8, 2024
The
increasing
demand
for
drinking
water
due
to
population
growth
presents
significant
challenges
the
Among
Tirto
Water
Utility
(ATWU)
in
Batu
City,
East
Java,
Indonesia.
In
2022,
ATWU
faced
low
service
coverage
(36%)
and
high
loss
(38%),
exceeding
20%
threshold.
Some
previous
research
discusses
System
Dynamics
(SD)
used
overcome
shortage
problem.
this
study,
SD
is
excess
water.
Therefore,
This
study
aims
enhance
efficiency
by
adding
piping
networks
controlling
losses.
uses
an
approach
method
that
includes
simulations
from
2017
2042
or
25
years
using
Powersim
application.
Methodologies
include
analyzing
availability,
constructing
causal
loop
diagrams
(CLD)
stock
flow
(SFD),
verification,
validation,
designing
policy
scenarios.
required
data
are
number
of
customers,
coverage,
actual
production
capacity,
loss,
total
community
consumption,
business
revenue,
expenses,
other
related
management
ATWU.
identifies
Scenario
Two
as
most
effective
addressing
location-specific
issues.
If
control
implemented
reduce
rates
20%,
could
expand
58.44%,
availability
a
projected
profit
3.6
billion
rupiahs
2042.
results
can
improve
operational
facilitate
better
decision-making
City.
Язык: Английский