Assessment of surface water quality parameters using multivariate analysis—A case study of Kurichi and big lakes in Coimbatore
Water Environment Research,
Год журнала:
2025,
Номер
97(3)
Опубликована: Март 1, 2025
Abstract
Water
quality
deterioration
due
to
industrialization
and
urbanization
is
a
growing
environmental
concern,
particularly
in
developing
regions.
This
study
assesses
the
surface
water
of
Kurichi
Big
Lakes
Ukkadam
area,
Coimbatore,
India,
using
multivariate
statistical
techniques
identify
key
pollution
sources
evaluate
contamination
levels.
Despite
prior
research
on
urban
lakes,
limited
studies
have
systematically
analyzed
multiple
contaminants
advanced
approaches.
A
total
12
samples
were
collected
between
June
2023–June
2024
for
physicochemical,
microbiological,
anionic
parameters.
Principal
Component
Analysis
(PCA)
Factor
(FA)
revealed
three
dominant
components
explaining
68.42%
42.81%
variance
Lakes,
respectively.
The
Piper
plot
classified
types,
while
Cluster
(CA)
grouped
sampling
sites
based
Pearson
correlation
matrix
determined
pollutant
interdependencies,
Quality
Index
(WQI)
categorized
severity
against
WHO
BIS
standards.
results
indicate
that
organic
matter,
industrial
discharge,
fertilizer
runoff,
untreated
wastewater
are
primary
contributors
pollution.
High
levels
detected
near
zones,
with
Lake
exhibiting
significantly
poorer
than
Lake.
findings
highlight
urgent
need
improved
management
control
policies
safeguard
aquatic
ecosystems
public
health.
Practitioner
Points
Multivariate
Statistical
Analysis:
Applied
PCA,
FA,
plot,
CA,
assess
quality.
Classification:
Identified
Findings:
Three
major
explained
variation
Major
Pollution
Sources:
analysis
identified
compounds,
human
activity,
fertilizers,
chemical
waste,
discharge
as
contaminants.
Industrial
Area
Impact:
CA
WQI
highlighted
high
sensitivity
zones
Язык: Английский
Phytoplankton and Zooplankton Assemblages Driven by Environmental Factors Along Trophic Gradients in Thai Lentic Ecosystems
Diversity,
Год журнала:
2025,
Номер
17(6), С. 372 - 372
Опубликована: Май 22, 2025
This
study
investigates
phytoplankton
and
zooplankton
assemblages
their
relationships
with
environmental
factors
along
trophic
gradients
in
50
lentic
ecosystems
across
Thailand.
Field
sampling
was
conducted
at
264
points
April
May
2024.
Physical,
chemical,
biological
parameters
were
measured
both
the
field
laboratory.
Plankton
samples
identified
quantified
to
assess
species
richness,
abundance,
community
composition.
The
results
revealed
that
water
bodies
could
be
classified
into
four
states:
1
oligotrophic,
6
mesotrophic,
17
eutrophic,
26
hypereutrophic
systems.
found
density
peaked
waters,
while
richness
highest
oligotrophic
conditions.
Nutrient-rich
environments
favored
Cyanophyta
dominance,
whereas
Dinophyta
more
abundant
nutrient-poor
Zooplankton
assemblages,
particularly
Rotifers
Copepoda,
showed
higher
abundance
eutrophic
ecosystems,
diversity
greater
mesotrophic
waters.
Statistical
analyses
indicated
factors,
especially
nutrient
concentrations,
played
a
significant
role
shaping
plankton
gradients.
strong
positive
correlations
total
dissolved
solid
(TDS)
(r
=
0.383,
p
<
0.01)
electrical
conductivity
(EC)
0.403,
0.01),
correlation
oxygen
0.319,
0.05).
Zooplankton,
Rotifers,
exhibited
phosphorus
(TP)
0.358,
0.05)
TDS
0.387,
0.01).
Multidimensional
Scaling
(MDS)
analysis
Principal
Coordinate
Analysis
(PCoA)
confirmed
quality
variables
strongly
influenced
structure.
provides
important
insights
how
drive
Thai
contributing
improved
understanding
management
of
freshwater
eutrophication.
Язык: Английский