Optimization of water quality index models using machine learning approaches
Water Research,
Journal Year:
2023,
Volume and Issue:
243, P. 120337 - 120337
Published: July 11, 2023
Language: Английский
Spatiotemporal characteristics and potential pollution factors of water quality in the eastern route of the South-to-North Water Diversion Project in China
Lingjiang Lu,
No information about this author
Yongcan Chen,
No information about this author
Manjie Li
No information about this author
et al.
Journal of Hydrology,
Journal Year:
2024,
Volume and Issue:
638, P. 131523 - 131523
Published: June 16, 2024
Language: Английский
Multivariable integrated risk and spatiotemporal characteristics assessment for water quality using comprehensive risk index in Jiangsu section of the south-to-north water diversion project, China
Yue Zhang,
No information about this author
Jun Hou,
No information about this author
Rui Zhou
No information about this author
et al.
Environmental Geochemistry and Health,
Journal Year:
2025,
Volume and Issue:
47(5)
Published: March 26, 2025
Language: Английский
Qualidade das águas pluviais urbanas e rurais e fontes de contaminação: uma análise bibliométrica
Geographia Opportuno Tempore,
Journal Year:
2025,
Volume and Issue:
11(1), P. e50672 - e50672
Published: March 24, 2025
A
pesquisa
em
torno
da
qualidade
de
águas
pluviais
tem
sido
grande
interesse
nos
últimos
anos,
principalmente
tendo
vista
a
problemática
escassez
hídrica
e
o
melhor
aproveitamento
destes
recursos.
O
presente
estudo
desenvolveu
uma
bibliométrica
buscando
identificar
as
tendências
emergentes
tópicos
relevantes
publicação,
principais
fontes
contaminação
relacionadas
à
pluviais.
Através
na
plataforma
Scopus,
foram
identificadas
6.218
publicações
no
intervalo
dos
10
anos
(2014
-
2024),
análises
textos
foi
dada
mediante
biblioteca
do
R-Studio
“Bibliometrix”,
VOSviewer.
Foi
possível
verificar
que
maiores
área
produzidas
por
cientistas
americanos
(EUA),
mais
presentes
são
oriundas
difusa,
devido
agricultura.
utilização
Índices
água
pluvial
também
tendência
para
gerenciamento
recursos,
embora
prevenção
tratamento
dessas
seja
lacuna
identificada.
Research progress in surface water quality monitoring based on remote sensing technology
International Journal of Remote Sensing,
Journal Year:
2024,
Volume and Issue:
45(7), P. 2337 - 2373
Published: March 21, 2024
Urban
surface
water
is
an
important
freshwater
resource,
and
the
environment
increasingly
being
destroyed.
Dynamic
monitoring
of
great
significance
for
protecting
ecological
environment.
Remote
sensing
technology
provides
technical
support
monitoring,
which
overcomes
drawbacks
traditional
manual
sampling.
It
has
been
widely
applied
in
monitoring.
The
paper
systematically
reviews
research
progress
remote
from
aspects
data,
inversion
models
quality
parameters.
Advantages
disadvantages
(analytical
methods,
empirical
semi-empirical
machine
learning
methods
comprehensive
methods)
are
compared
analysed.
Furthermore,
we
summarize
chlorophyll
a
(Chl-a),
total
suspended
matter
(TSM),
coloured
dissolved
organic
(CDOM),
transparency
non-photosensitive
Although
new
ideas
there
still
some
problems
that
need
to
be
solved,
such
as
signals
affected
by
atmosphere,
poor
portability
models,
low
resolution
satellite
sensors,
susceptibility
external
factors.
Therefore,
future
should
combine
multi-source
conduct
in-depth
on
optical
characteristics
bodies,
optimize
construct
transferable
break
through
temporal
spatial
limitations,
promote
rapid
development
pollution
warning.
Language: Английский
Water Quality Assessment of AL-Mahawil Stream/Babylon/Iraq Using Canadian Water Quality Index
May Hameed Mohammad Al-Dehamee
No information about this author
IOP Conference Series Earth and Environmental Science,
Journal Year:
2024,
Volume and Issue:
1325(1), P. 012004 - 012004
Published: April 1, 2024
Abstract
This
study
aimed
to
know
the
water
quality
in
Al-Mahawil
stream
which
is
a
from
Euphrates
River
Babylon
governorate
by
using
Canadian
index
determining
values
of
most
important
physical
and
chemical
parameters
after
taken
three
sites
along
[site
1
(S1),
site
2
(S2),
3
(S3)].
data
was
determined
seasonally
collection
samples
monthly
December
2021
November
2022.
The
results
first
finding
out
whether
these
within
or
above
Iraqi
limiting
standards
drinking
that
(WQI)
has
been
calculation,
then
if
can
possibly
directly
used
for
purpose
other
uses.
Generally,
pointed
some
chemicals
were
permissible
water,
while
others
standard.
Also,
showed
WQI
all
calculating
marginal
cannot
purpose.
there
significant
differentiation
among
with
positive
correlation
coefficients
it.
Language: Английский
Water quality in the Chinese Qinling Mountains over the last 20 years
Chensong Zhao,
No information about this author
Na Peng,
No information about this author
Shan Hua
No information about this author
et al.
Frontiers in Water,
Journal Year:
2024,
Volume and Issue:
6
Published: Nov. 13, 2024
The
Qinling
Mountains,
the
so-called
“central
water
tower,”
are
extremely
important
resource
hubs
in
China.
influence
of
forest
ecological
environment
on
quality
is
complicated.
Therefore,
to
investigate
spatiotemporal
variations
quality,
we
employed
a
random
model
integrate
multiple
key
indicators
into
one
overall
ranking
value.
Monthly
monitoring
data
surface
runoff
and
atmospheric
precipitation
events
(2003–2022)
for
Huodigou
stream
Mountains
were
used.
results
revealed
that
after
entered
ecosystem,
coefficients
variation
most
selected
decreased,
but
there
significant
differences
among
six
(NO
3
−
,
Mg
2+
Na
+
pH,
K
Ca
).
Most
within
positively
correlated,
such
as
those
precipitation.
However,
some
indices
negatively
correlated
with
precipitation,
was
negative
correlation
between
NO3
(
p
<
0.01).
grade
generated
by
through
ecosystems
significantly
improved
0.001),
which
average
approximately
3.6,
is,
Grade
I-3
I-4,
whereas
4.5,
I-4
I-5.
order
NO
>
pH
.
Overall,
our
assessment
from
2003
2022,
more
stable.
In
summary,
ecosystem
has
purification
effect
it
receives.
Our
novel
criterion-based
approach
categorizing
offers
new
tool
examining
region
other
mountainous
areas.
Language: Английский