Further
improving
the
quality
of
surface
water
is
becoming
more
difficult
after
control
main
point-sources,
especially
in
complex
pollution
area
with
mixed
industrial
and
agricultural
productions,
whereas
source
apportionment
might
be
key
to
quantify
different
sources
developing
some
effective
measures.
In
this
study,
a
technical
framework
for
based
on
three-dimensional
fluorescence
microbial
traceability
model
developed.
Based
screening
environmental
factors
their
spatiotemporal
characteristics,
potential
have
been
tentatively
identified.
Then,
are
further
tested
analysis
excitation-emission
matrix
(EEM)
similarity
components
sources.
At
same
time,
correlation
between
species
constructed
by
analyzing
characteristics
composition
response
factors.
Therefore,
quantified
using
PCA-APCS-MLR,
Fast
Expectation-maximization
Microbial
Source
Tracking
(FEAST),
Bayesian
community-wide
culture-independent
tracking
(SourceTracker).
Overall,
results
these
three
methods
comparable
extent,
shows
accurate
identification
ability
environments
than
better
reflects
differences
at
various
points.
FEAST
exhibits
sensitive
shorter
calculation
time
SourceTracker,
thus
used
guide
precise
regional
control.
