IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 26
Published: Feb. 7, 2025
Climate
change
and
the
rapid
depletion
of
natural
resources
present
significant
global
challenges
that
demand
innovative
sustainable
solutions.
Traditional
resource
management
approaches
are
increasingly
inadequate
in
addressing
these
complexities,
creating
a
pressing
need
for
advanced
technologies.
Artificial
Intelligence
(AI)
Data
Science
have
emerged
as
powerful
tools
to
revolutionize
green
technologies,
enhancing
their
efficiency
effectiveness
promoting
sustainability.
This
chapter
provides
comprehensive
exploration
applications
AI
discussing
potential
impacts,
challenges,
ethical
considerations.
By
examining
aspects,
aims
illuminate
how
technologies
can
be
harnessed
address
environmental
support
future.
Frontiers in Water,
Journal Year:
2024,
Volume and Issue:
6
Published: Aug. 27, 2024
Introduction
Ancient
water
harvesting
systems,
such
as
those
from
the
Indus
Valley
Civilization
(~3500
BCE),
have
been
vital
for
irrigation
and
climate
resilience,
especially
in
arid
regions.
One
prominent
system
South
Asia,
called
tank
irrigation,
initially
thrived
through
community
management
but
declined
post-independence
due
to
colonial
policies
neglect
Sri
Lanka
India.
This
study
evaluates
current
policy
frameworks
rehabilitation
programs
enhance
resilience
of
these
systems
India,
develop
strategies
their
protection
adaptation
change,
integrate
global
lessons
sustainable
development.
Methods
A
systematic
meta-analysis
grey
literature
was
conducted
aggregate
data
on
constraints.
Policy
analysis
involved
detailed
investigations
relevant
documents,
regulations,
comparative
analyses
at
regional
national
levels.
Pilot
projects
were
assessed
reported
case
studies
field
surveys
gauge
impact.
Thematic
used
explore
potential
overall
environmental
sustainability.
Results
The
showed
that
pilot
had
limited
success
achieving
sustainability
under
conditions.
Tank
are
crucial
adapting
extreme
weather,
including
floods,
droughts,
heat
waves,
replenishing
groundwater,
reducing
soil
erosion,
ensuring
reliable
supplies.
Traditional
technologies
support
17
Sustainable
Development
Goals
(SDGs),
clean
access,
hunger
reduction,
gender
equality,
action.
Integrating
AI
machine
learning
benefits
disaster
response,
while
eco-tourism
aids
maintenance
cultural
awareness.
Discussion
underscores
need
reforms
institutional
arrangements.
It
calls
increased
beneficiary
participation
constitutional
recognition
practices.
Strategic,
national-scale
assessments
targets
recommended
improve
effectiveness
mitigating
natural
hazards
enhancing
services.
Artificial Intelligence Review,
Journal Year:
2025,
Volume and Issue:
58(4)
Published: Jan. 31, 2025
Abstract
The
advancements
of
the
Internet
Things
and
Low-Power
Wide-Area
Network
technology
will
accelerate
in
next
future
adoption
smart
meters
water
distribution
systems,
enabling
collection
a
huge
amount
fine-grained
data.
How
to
turn
massive
meter
data
into
actionable
knowledge
be
key
point
limit
wastage
promote
efficient
sustainable
distribution.
Although
worldwide
is
currently
limited,
potential
impact
exploiting
data-driven
machine
learning
methods
increasingly
recognized
research
industry,
as
shown
by
many
scientific
works
published
recent
years.
In
particular,
interest
deep
for
systems
increasing,
motivated
ability
learn
intricate
patterns
from
big
This
work
aims
provide
an
overview
current
identify
challenges
directions
conducting
application-oriented
survey.
Specifically,
analysing
characteristics
operational
targets,
we
propose
new
taxonomy
that
helps
structure
properly
macro-areas
management
infrastructure
analysis,
demand
analysis
quality
monitoring.
Existing
are
discussed
each
application
under
these
three
stages.
addition,
also
discuss
directions,
such
federated
learning,
incremental
probabilistic
modeling
explainability
address
broad
issues
like
availability
implications
privacy.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 26
Published: Feb. 7, 2025
Climate
change
and
the
rapid
depletion
of
natural
resources
present
significant
global
challenges
that
demand
innovative
sustainable
solutions.
Traditional
resource
management
approaches
are
increasingly
inadequate
in
addressing
these
complexities,
creating
a
pressing
need
for
advanced
technologies.
Artificial
Intelligence
(AI)
Data
Science
have
emerged
as
powerful
tools
to
revolutionize
green
technologies,
enhancing
their
efficiency
effectiveness
promoting
sustainability.
This
chapter
provides
comprehensive
exploration
applications
AI
discussing
potential
impacts,
challenges,
ethical
considerations.
By
examining
aspects,
aims
illuminate
how
technologies
can
be
harnessed
address
environmental
support
future.
