International Journal of River Basin Management,
Год журнала:
2023,
Номер
unknown, С. 1 - 12
Опубликована: Ноя. 14, 2023
The
study
focuses
on
the
analysis
of
trace
metals
in
drinking
water
from
Ganderbal
and
Budgam
districts
Jammu
Kashmir.
We
have
used
high-resolution
inductively-coupled
plasma
mass
spectrometry
(HR-ICP-MS)
to
measure
concentrations
31
samples.
measured
were
then
compared
with
permissible
limits
set
by
United
States
Environmental
Protection
Agency
(USEPA),
Bureau
Indian
Standards
(BIS),
World
Health
Organization
(WHO).
results
indicate
that
arithmetic
mean
several
elements,
including
aluminum
(Al
=
781),
chromium
(Cr
139),
manganese
(Mn
41.86),
nickel
(Ni
25.89),
molybdenum
(Mo
1.30),
cadmium
(Cd
36.86),
mercury
(Hg
67.65),
µg
l−1
found
higher
than
their
respective
limits.
On
other
hand,
such
as
beryllium
(Be
0.14),
boron
(B
32.72),
iron
(Fe
233),
cobalt
(Co
1.79),
copper
(Cu
10.71),
arsenic
(As
0.93),
selenium
(Se
3.13),
strontium
(Sr
257),
zinc
(Zn
43),
antimony
(Sb
1.44),
barium
(Ba
28.56),
gold
(Au
0.91),
lead
(Pb
0.91)
l−1,
had
below
recommended
USEPA,
BIS,
WHO.
To
assess
toxicity
heavy
area,
we
calculated
Heavy
Metal
Toxicity
Load
(HMTL)
for
each
metal.
Based
these
calculations,
concluded
only
(Cd)
(Cr)
need
be
removed
ensure
safety.
also
conducted
a
health
risk
assessment
children
adults
based
metals.
considered
ingestion
dermal
contact
routes
exposure.
Hazard
Index
(HI),
which
indicates
non-carcinogenic
effects,
exceeded
unity
one
element,
(Cd),
adult
groups.
This
suggests
potential
risks
associated
contact.
Additionally,
carcinogenic
(As)
was
identified
further
attention.
evaluated
Pollution
(HPI)
overall
quality
area.
HPI
indicated
good,
pollution
levels
area
low.
Overall,
findings
this
provide
valuable
information
resource
development
supply
agencies.
can
baseline
future
research
monitoring
efforts
region.
Bulletin of the National Research Centre/Bulletin of the National Research Center,
Год журнала:
2024,
Номер
48(1)
Опубликована: Дек. 17, 2024
Abstract
Understanding
land
use
and
cover
(LULC)
classification
is
critical
for
addressing
environmental
human
needs,
particularly
in
developing
countries.
Nigeria
a
country
experiencing
rapid
population
growth
economic
development
leading
to
increased
LULC
changes.
While
many
studies
have
been
done
on
changes,
there
need
comprehensive
review
of
existing
knowledge
limitations
analyses
Nigeria.
Hence,
using
the
Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses
method,
this
paper
presents
systematic
by
examining
adopted
remote
sensing
data,
pre-classified
global
regional
maps,
validation
methods.
This
draws
attention
significant
highlights
awareness
access
readily
available
data.
provides
broad
overview
methods,
focus,
scale,
constraints
associated
with
analysis
Also,
it
probable
solutions
challenges
GEE-based
scripts.
There
create
prioritize
national
data
repository
ensure
sustainable
monitoring
management
will
facilitate
spatial
temporal
assessment
at
different
scales
regions.
High-resolution
imagery
advanced
methods
such
as
deep
learning
be
accurate
scales.
programs,
collaboration,
capacity-building
initiatives
beneficial
current
emerging
related
Water,
Год журнала:
2023,
Номер
15(23), С. 4109 - 4109
Опубликована: Ноя. 27, 2023
The
water
quality
of
Rudrasagar
Lake,
the
second-largest
natural
reservoir
Tripura
is
great
ecological
and
economic
importance
as
it
serves
a
diverse
range
purposes,
including
fishing,
irrigation,
aquaculture,
domestic
use,
recreation
activities.
This
study
investigates
area,
an
esteemed
Ramsar
site
in
North
Eastern
India,
using
combined
application
multivariable
statistical
geospatial
techniques.
In
this
study,
24
samples
were
designed
based
on
their
use
collected
along
periphery
inner
areas
lake
employing
Latin
Square
Matrix.
research
also
examines
spatial
variations
involving
quartile-based
categorization
parameters,
with
Pearson’s
Correlation
analysis,
Principal
Component
Analysis
(PCA),
Hierarchy
Cluster
(HCA)
applied
for
dimension
reduction.
analysis
involved
PCA
HCA
Meanwhile,
Inverse
distance
weighted
(IDW)
approach
was
used
to
interpolate
distribution
quartile
score
ArcGIS
platform.
Bureau
Indian
Standards
(BIS)
followed
assessment.
results
revealed
significant
variation,
providing
valuable
insights
future
management
strategies.
indicates
57.26%
variance
dataset,
whereas
classified
into
three
subgroups
two
groups
dendrogram
representing
result
HCA.
demonstrates
utility
PCA,
HCA,
IDW
interpolation
assessment,
highlighting
effect
human-induced
activities
lake’s
vicinity.