Water,
Journal Year:
2024,
Volume and Issue:
16(17), P. 2368 - 2368
Published: Aug. 23, 2024
An
integrated
constructed
wetland-microbial
electrolysis
cell
(ICW-MEC)
system
was
investigated
for
nitrogen
removal
under
different
pollution
loads,
hydraulic
loads
(HLRs),
and
aeration
conditions.
The
treatment
performance
of
each
unit
the
microbial
community
characteristics
were
elucidated.
results
showed
that,
on
average,
80%
NH4+-N,
around
70%
nitrate
(NO3−-N),
total
(TN)
removed
by
three
with
less
influence
loads.
high
efficiencies
NH4+-N
(81.8%),
NO3−-N
(71.4%),
TN
(72.8%)
indicated
tolerable
to
HLRs.
intermittent
negatively
affected
removal,
while
increasing
removals
3.2–13.0%
3.7–16.7%.
contribution
secondary
NO3−-N,
TN,
organic
carbon
(TOC)
reached
47.4%,
55.0%,
45.9%,
38.8%,
respectively.
distinct
communities
existed
in
various
units
ICW-MEC
system,
which
strongly
environmental
factors
shaped
diverse
fillers
structures
system.
dominant
bacteria
contributed
efficient
exerted
their
advantages
ensure
stable
operation.
Water,
Journal Year:
2024,
Volume and Issue:
16(2), P. 308 - 308
Published: Jan. 17, 2024
This
study
designed
surface
flow
constructed
wetlands
(SFCWs)
with
Myriophyllum
aquaticum
(M.
aquaticum)
to
evaluate
how
different
influent
C/N
ratios
(0:1
(C0N),
5:1
(C5N),
10:1
(C10N),
and
15:1
(C15N))
affect
pollutant
removal,
greenhouse
gas
(GHG)
emissions,
microbial
communities.
The
results
showed
that
effluent
ammonia
nitrogen
(NH4+-N),
nitrate
(NO3−-N),
total
(TN)
concentrations
decreased,
but
chemical
oxygen
demand
(COD)
concentration
increased
increasing
ratios.
highest
removal
rates
of
TN
(73.17%)
COD
(74.56%)
were
observed
C5N.
Regarding
GHG
a
few
changes
in
CO2
fluxes
caused
by
the
ratio,
whereas
CH4
obviously
ratio.
N2O
emission
occurred
C0N
(211.03
±
44.38
mg-N·m−2·h−1),
decreasing
significantly
higher
High-throughput
sequencing
revealed
directly
influenced
distribution
composition
related
metabolism
SFCWs.
abundance
(46.24%)
denitrifying
bacteria
(DNB)
was
C5N,
which
helped
achieve
efficient
simultaneous
reduction
emissions.
Methanogen
rose
ratios,
methanotrophs
peaked
under
C5N
C10N
conditions.
Additionally,
random
forest
model
identified
ratio
Rhodopseudomonas
as
primary
factors
influencing
respectively.
highlights
importance
regulating
both
emissions
wetlands.
