Environmental Pollutants and Bioavailability,
Год журнала:
2023,
Номер
35(1)
Опубликована: Сен. 4, 2023
The
present
study
analyzed
soil
samples
from
flood-prone
Unions
in
two
Coastal
Upazilas
of
Bangladesh
using
Proton
Induced
X-Ray
Emission
(PIXE)
techniques
with
Van
de
Graaff
Accelerator
for
detecting
heavy
trace
elements
and
Gamma
spectrometry
techniques.
findings
indicate
that
while
Potassium
(averaging
19,62
μg/g
Sutarkhali;
21364.67
Amtoli)
Calcium
36,923.92
30404.33
levels
were
high
naturally,
the
Lead
71.8
171.44
Amtoli),
Chromium
6.87
340.22
posing
a
serious
risk
to
inhabitants.
evaluation
contamination
factor
(CF),
pollution
load
index
(PLI),
potential
ecological
(ERI)
health
assessment
severe
metal
both
regions,
young
children
being
particularly
vulnerable
lead
poisoning.
Nonetheless,
radiation
below
safe
limit
set
by
International
Atomic
Energy
Agency
(IAEA).
Heliyon,
Год журнала:
2024,
Номер
10(13), С. e33082 - e33082
Опубликована: Июнь 19, 2024
Monitoring
of
groundwater
resources
in
coastal
areas
is
vital
for
human
needs,
agriculture,
ecosystems,
securing
water
supply,
biodiversity,
and
environmental
sustainability.
Although
the
utilization
quality
index
(WQI)
models
has
proven
effective
monitoring
resources,
it
faced
substantial
criticism
due
to
its
inconsistent
outcomes,
prompting
need
more
reliable
assessment
methods.
Therefore,
this
study
addresses
concern
by
employing
data-driven
root
mean
squared
(RMS)
evaluate
Bhola
district
near
Bay
Bengal,
Bangladesh.
To
enhance
reliability
RMS-WQI
model,
research
incorporated
extreme
gradient
boosting
(XGBoost)
machine
learning
(ML)
algorithm.
For
GWQ,
utilized
eleven
crucial
indicators,
including
turbidity
(TURB),
electric
conductivity
(EC),
pH,
total
dissolved
solids
(TDS),
nitrate
(NO3-),
ammonium
(NH4+),
sodium
(Na),
potassium
(K),
magnesium
(Mg),
calcium
(Ca),
iron
(Fe).
In
terms
GW
concentration
K,
Ca
Mg
exceeded
guideline
limit
collected
samples.
The
computed
scores
ranged
from
54.3
72.1,
with
an
average
65.2,
categorizing
all
sampling
sites'
GWQ
as
"fair."
model
reliability,
XGBoost
demonstrated
exceptional
sensitivity
(R2
=
0.97)
predicting
accurately.
Furthermore,
exhibited
minimal
uncertainty
(<1%)
WQI
scores.
These
findings
implied
efficacy
accurately
assessing
areas,
that
would
ultimately
assist
regional
managers
strategic
planners
sustainable
management
resources.
Results in Engineering,
Год журнала:
2024,
Номер
22, С. 102220 - 102220
Опубликована: Май 4, 2024
The
groundwater
(GW)
of
Bangladesh
is
predominantly
contaminated
with
arsenic
(As)
and
iron
(Fe)
which
has
a
bad
impact
on
human
health.
We
tried
to
remove
these
elements
easily
available
mahogany-fruit
(Swietenia
mahagoni)
husk
charcoal
(MHC)
banana
(Musa
acuminata)
peduncle
(BPC).
trial
was
implemented
3
replications
throughout
the
research.
sampled
GW
contained
0.06
mg
As
L-1
4.83
Fe
L-1.
Firstly,
pH
3,
5,
7,
9
250
dose.
MHC
removed
almost
91.05%
at
5.0,
BPC
86.67%
9.
However,
in
case
Fe,
100%
7
9;
same
quantity
Secondly,
contact
times
were
0,
10,
20,
40
minutes
dose
7.0.
maximum
removal
5
minutes.
pseudo-first-order
kinetic,
pseudo-second-order
intra-particle
diffusion
models
considered.
result
showed
that
rate
adsorption
followed
kinetic
model.
Lastly,
adsorbent
doses
50,
150,
250,
350
At
highest
79.47%
for
MHC.
Similarly,
values
79.29%
BPC,
indicating
are
good
heavy
metals
removal.
Heliyon,
Год журнала:
2025,
Номер
11(3), С. e42404 - e42404
Опубликована: Фев. 1, 2025
This
study
presents
a
semi-automated
approach
for
assessing
water
quality
in
the
Sundarbans,
critical
and
vulnerable
ecosystem,
using
machine
learning
(ML)
models
integrated
with
field
remotely-sensed
data.
Key
parameters-Sea
Surface
Temperature
(SST),
Total
Suspended
Solids
(TSS),
Turbidity,
Salinity,
pH-were
predicted
through
ML
algorithms
interpolated
Empirical
Bayesian
Kriging
(EBK)
model
ArcGIS
Pro.
The
predictive
framework
leverages
Google
Earth
Engine
(GEE)
AutoML,
utilizing
deep
libraries
to
create
dynamic,
adaptive
that
enhance
prediction
accuracy.
Comparative
analyses
showed
ML-based
effectively
captured
spatial
temporal
variations,
aligning
closely
measurements.
integration
provides
more
efficient
alternative
traditional
methods,
which
are
resource-intensive
less
practical
large-scale,
remote
areas.
Our
findings
demonstrate
this
technique
is
valuable
tool
continuous
monitoring,
particularly
ecologically
sensitive
areas
limited
accessibility.
also
offers
significant
applications
climate
resilience
policy-making,
as
it
enables
timely
identification
of
deteriorating
trends
may
impact
biodiversity
ecosystem
health.
However,
acknowledges
limitations,
including
variability
data
availability
inherent
uncertainties
predictions
dynamic
systems.
Overall,
research
contributes
advancement
monitoring
techniques,
supporting
sustainable
environmental
management
practices
Sundarbans
against
emerging
challenges.
Land,
Год журнала:
2025,
Номер
14(4), С. 776 - 776
Опубликована: Апрель 4, 2025
Coastal
wetlands
are
vital
ecosystems
at
the
land–sea
interface.
They
intercept
land-based
pollutants,
regulate
microclimates,
and
mediate
carbon
cycles.
play
a
significant
role
in
enhancing
sequestration
capacity
maintaining
ecological
structure
functioning.
This
study
proposes
an
improved
method
for
estimating
blue
storage
coastal
salt
marsh
wetlands,
considering
soil
thickness,
by
utilizing
enhanced
Soil
Land
Inference
Model
(SoLIM)
to
estimate
thickness
with
restricted
number
of
sample
points.
The
wetland
index
is
integrated
into
Integrated
Valuation
Ecosystem
Services
Trade-offs
(InVEST)
estimation
model,
ultimately
enabling
visualization
Liaohe
Estuary
wetland.
Results
indicate
following:
(1)
studied
area’s
shows
spatial
distribution
pattern
that
becomes
progressively
thinner
from
north
south.
more
vegetation
areas
minor
tidal
flat
areas,
52%
region
having
between
40
60
cm.
(2)
In
2023,
stock
area
estimated
389.85
×
106
t,
high-value
concentrated
northern
natural
landscapes,
low-value
southern
zone,
characterized
terrain
human
influence.
coupled
thickness–blue
model
provides
methodological
support
refining
wetlands.
It
also
offers
technical
formulating
policies
on
restoration,
compensation,
protection,
management
