Advances in environmental engineering and green technologies book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 379 - 392
Published: Nov. 29, 2024
In
rural
areas,
solid
waste
management
presents
unique
challenges
that
often
lead
to
environmental
degradation
and
public
health
issues.
The
scarcity
of
resources
infrastructure
in
these
regions
exacerbates
the
problem,
making
effective
solutions
crucial.
This
paper
examines
innovative
strategies
employed
for
puri,
Odisha.
By
focusing
on
sustainable
practices,
study
highlights
how
can
be
adopted
enhance
sustainability.
setting
up
local
recycling
centres
providing
training
sorting
processing
recyclable
materials,
communities
create
jobs
reduce
amount
sent
landfills.
development
new
technologies,
circular
economy,
practices
reduction
community
engagement.
Engineering Optimization,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 24
Published: Oct. 8, 2024
This
research
proposes
a
sustainable
municipal
solid
waste
management
(MSWM)
system
to
address
population
growth,
consumerism,
and
resource
scarcity.
It
introduces
two-phase
decision
structure
combining
multi-attribute
decision-making
(MADM)
tools.
Phase
one
develops
hybrid
risk-oriented
fuzzy
MADM
tool
for
selecting
optimal
waste-to-energy
technologies,
considering
environmental
technological
factors.
two
uses
bi-objective
multi-period
mixed-integer
linear
programming
model
design
the
MSWM
supply
chain
efficiently
under
uncertainty.
A
case
study
in
North
Tehran
demonstrates
framework's
practical
applicability
effectiveness
real-world
scenarios,
highlighting
that
effective
source
separation
boosts
recycling,
reduces
costs,
provides
social
benefits.
Sensitivity
analyses
offer
insights
enhance
segregation
practices.
The
emphasizes
integrating
economic,
environmental,
sustainability
decision-making.
By
offering
novel,
holistic
approach,
this
addresses
existing
gaps
systematic
processes
robust
municipalities
optimize
strategies
Advances in environmental engineering and green technologies book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 177 - 210
Published: Jan. 16, 2025
Predictive
analytics
and
big
data
enhance
recycling
by
analyzing
social
media,
sensors,
municipal
data.
Advanced
algorithms
manage
resource
allocation
operations,
forecasting
trends
from
population
growth
economic
factors.
Machine
learning
identifies
patterns
predicts
future
rates.
In
India
(2010-2024),
Python's
Pandas
Scikit-learn
used
linear
regression
to
forecast
trends,
showing
annual
increases.
Residuals
analysis
confirms
model
accuracy,
suggesting
that
strategies
are
effective
room
for
improvement
exists.
Advances in environmental engineering and green technologies book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 319 - 348
Published: Jan. 16, 2025
As
urbanization
grows
in
India,
traditional
waste
management
methods
become
inefficient,
creating
environmental
and
public
health
issues.
IoT
is
transforming
this
with
smart
bins,
real-time
monitoring,
route
optimization.
Pune
Bhopal
use
IoT-driven
solutions
to
improve
efficiency
satisfaction,
despite
high
costs
data
privacy
concerns.
Smart
bins
monitor
fill
levels,
while
GPS-enabled
trucks
optimize
routes,
reducing
operating
impact.
set
revolutionize
Indian
cities,
leading
a
cleaner
healthier
future.
Recycling,
Journal Year:
2024,
Volume and Issue:
9(3), P. 42 - 42
Published: May 20, 2024
Over
the
last
several
decades,
European
Union
(EU)
has
championed
recycling
and
sustainable
waste
management
through
Directives
2008/98/EC
2018/851,
shaping
practices
across
its
member
states.
Currently,
30%
of
EU’s
municipal
is
recycled,
19%
composted,
23%
incinerated,
landfilled.
However,
regional
variations
exist
within
EU,
with
Greece
other
Mediterranean/Balkan
nations
favoring
landfilling,
while
Germany
Western/Central
EU
prioritize
composting,
Nordic
countries
lean
toward
incineration.
To
address
these
differences,
a
new
sustainability
point
system
was
created
in
order
to
evaluate
compare
all
different
strategies
members.
Notably,
like
Germany,
Netherlands,
Sweden
score
highest
due
low
generation,
high
rates
(>35%),
minimal
landfilling
(<1%),
significant
In
contrast,
Cyprus,
Malta,
lower
landfill
reliance
rates.
Therefore,
this
study
introduces
novel
mitigate
disparities,
highlighting
need
for
targeted
interventions
policy
initiatives
at
national
levels.
By
leveraging
insights,
policymakers
can
allocate
resources
effectively,
foster
collaboration,
motivate
citizens
achieve
common
environmental
goals
as
well
Sustainable
Development
Goals
(SDGs).
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
1(3), P. 281 - 292
Published: May 27, 2024
The
development
of
eco-friendly
cities
necessitates
collaboration
between
the
government
and
communities
in
shaping
sustainable
urban
waste
management.
issue
presents
a
significant
challenge
efforts
to
enhance
environmental
quality
public
health
areas.
Well-managed
not
only
reduces
negative
impacts
but
also
creates
new
economic
opportunities.
In
this
context,
research
employs
qualitative
approach
with
in-depth
interviews
observation
techniques
examine
management
Ambon
City.
In-depth
were
conducted
informants
from
City
Environmental
Waste
Management
Agency,
while
document
studies
utilized
analyze
information
related
issues
city.
findings
indicate
that
is
crucial
for
achieving
success
its
residents
require
joint
address
issues,
particularly
due
low
level
awareness
regarding
Increased
community
participation
full
support
are
necessary
achieve
clean,
healthy,
environments.
Energy Sources Part A Recovery Utilization and Environmental Effects,
Journal Year:
2024,
Volume and Issue:
46(1), P. 5094 - 5111
Published: April 3, 2024
This
work
investigates
the
potential
for
harvesting
hydraulic
energy
from
water
flow
to
create
a
self-sustainable
measurement
device
Internet
of
Things
(IoT)
applications.
A
prototype
circuit
with
microturbine
harvesting,
sensor,
microcontroller,
and
power
management
circuits
was
developed.
Experiments
measured
generated
versus
consumed
by
system
under
different
operating
conditions.
Results
showed
could
generate
around
1W
flows
above
2.5
L/min,
sufficient
recharge
its
battery
continuously.
The
system's
average
consumption
reduced
up
54.5%
strategies
like
low-power
sleep
modes
optimized
data
transmission
intervals.
Comparisons
between
ESP8266
ESP32
microcontrollers
highlighted
tradeoffs
consumption,
processing
capabilities,
modes.
research
validates
viability
IoT
sensor
nodes
in
context
measurement.
