Advances in civil and industrial engineering book series,
Journal Year:
2023,
Volume and Issue:
unknown, P. 127 - 151
Published: Nov. 27, 2023
Water
is
unambiguously
susceptible
to
contamination,
as
it
able
dissolve
a
broader
spectrum
of
substances
than
any
other
liquid
on
Earth.
Increasing
population
and
urbanization
have
been
imposed
monitor
water
quality
wastewater
management
in
the
current
global
scenario.
Conventional
monitoring
involves
sampling,
testing,
investigation,
which
are
usually
performed
manually
not
dependable.
Rapid
economic
prosperity
generates
larger
quantity
enriched
with
broad
range
pollutants
that
pose
serious
threats
environment
human
health.
Advancements
artificial
intelligence
machine
learning
approaches
shown
breakthrough
potential
toward
large
dataset
capture
analysis
datasets
attain
complex
large-scale
systems.
The
chapter
summarizes
prospects
potentials
AI
technologies
for
amelioration
establish
an
integrated
sustainable
biocomputation
platform
near
future.
ENVIRONMENTAL SYSTEMS RESEARCH,
Journal Year:
2023,
Volume and Issue:
12(1)
Published: July 4, 2023
Abstract
Water
sources
for
irrigation
systems
in
the
Red
River
Delta
are
crucial
to
socioeconomic
growth
of
region's
communities.
Human
activities
(discharge)
have
polluted
water
source
recent
years,
and
from
upstream
is
limited.
Currently,
surface
quality
index
(WQI),
which
calculated
numerous
parameters
(physical,
chemical,
microbiological,
heavy
metals,
etc.)
frequently
used
evaluate
systems.
However,
calculation
WQI
monitoring
remains
constrained
due
need
a
large
number
relative
complexity
calculation.
To
better
serve
assessment
study
area,
it
essential
conduct
research
identify
an
efficient
accurate
method
calculating
WQI.
This
machine
learning
deep
algorithms
calculate
with
minimal
input
data
(water
parameters)
reduce
cost
quality.
The
Bayes
(BMA)
select
important
(BOD
5
,
NH
4
+
PO
3−
turbidity,
TSS,
coliform,
DO).
results
indicate
that
model
more
effective
than
model,
gradient
boosting
having
most
prediction
because
has
highest
coefficient
determination
R
2
(0.96).
solid
scientific
basis
result
application
area.
also
demonstrated
potential
artificial
intelligence
improve
forecasting
compared
traditional
methods
time.
Environmental Earth Sciences,
Journal Year:
2023,
Volume and Issue:
82(17)
Published: Aug. 9, 2023
Abstract
Groundwater
quality
(GWQ)
monitoring
is
one
of
the
best
environmental
objectives
due
to
recent
droughts
and
urban
rural
development.
Therefore,
this
study
aimed
map
GWQ
in
central
plateau
Iran
by
validating
machine
learning
algorithms
(MLAs)
using
game
theory
(GT).
On
basis,
chemical
parameters
related
water
quality,
including
K
+
,
Na
Mg
2+
Ca
SO
4
2−
Cl
−
HCO
3
pH,
TDS,
EC,
were
interpolated
at
39
sampling
sites.
Then,
random
forest
(RF),
support
vector
(SVM),
Naive
Bayes,
K-nearest
neighbors
(KNN)
used
Python
programming
language,
was
plotted
concerning
GWQ.
Borda
scoring
validate
MLAs,
sample
points
prioritized.
Based
on
results,
among
ML
algorithms,
RF
algorithm
with
error
statistics
MAE
=
0.261,
MSE
0.111,
RMSE
0.333,
AUC
0.930
selected
as
most
optimal
algorithm.
created
algorithm,
42.71%
studied
area
poor
condition.
The
proportion
region
classes
moderate
high
18.93%
38.36%,
respectively.
results
prioritization
sites
GT
showed
a
great
similarity
between
model.
In
addition,
analysis
condition
critical
non-critical
based
that
aspects,
carbonate
balance,
salinity
general,
it
can
be
said
simultaneous
use
MLA
provides
good
basis
for
constructing
Iran.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(15), P. 12012 - 12012
Published: Aug. 4, 2023
The
water
supply
system
plays
a
major
role
in
the
community.
source
is
carefully
selected
based
on
quality,
quantity,
and
reliability.
quality
of
at
its
sources
continuously
deteriorating
due
to
various
anthropogenic
activities
concern
public
health
as
well.
Kalu
River
one
resources
Sri
Lanka
that
supplies
potable
Kalutara
district
(a
highly
populated
area)
Rathnapura
district.
But,
there
has
been
no
significant
research
or
investigation
examine
river.
Due
this,
it
difficult
find
any
proper
study
related
overall
River.
Therefore,
this
covers
crucial
part
spatiotemporal
variation
river
important
not
only
processing
treatment
but
also
implementing
policy
decisions.
In
context,
management
global
countries
strive
meet
United
Nations
Sustainable
Development
Goal
6,
which
aims
ensure
availability
sustainable
sanitation
for
all.
Poor
can
have
severe
consequences
human
health,
ecosystems,
economies.
Contaminated
pose
risks
waterborne
diseases,
reduced
agricultural
productivity,
ecological
imbalances.
Hence,
assessing
improving
achieving
development
worldwide.
paper
presents
comprehensive
analysis
using
data
eight
locations
6
years
from
2017
2023.
Nine
parameters,
including
pH,
electrical
conductivity,
temperature,
chemical
oxygen
demand,
biological
total
nitrate,
phosphate,
sulfate,
chlorine,
hardness,
were
used
develop
simple
equation
investigate
index
(WQI)
Higher
WQI
values
recorded
near
famous
Bridge
throughout
years,
even
though
area
urbanized
toured
religious
importance.
Overall,
be
considered
acceptable
results
WQI.
country
lockdowns
COVID-19
might
impacted
2020;
clearly
seen
with
annual
average,
indicates
decreased
levels
2020
2021,
again,
rise
level
2022,
time
period
corresponds
lockdown
season
relaxation
country.
Somehow,
most
cases
River,
well
below
25,
suitable
purposes.
may
need
some
attention
towards
areas
possible
reasons
are
range.
Nevertheless,
suggest
importance
continuous
monitoring
