Environment International,
Год журнала:
2022,
Номер
169, С. 107508 - 107508
Опубликована: Сен. 8, 2022
Unprecedented
urbanization-induced
population
migration
in
China
severely
affects
the
scale
and
geographic
distribution
of
anthropogenic
pollutant
discharge.
Understanding
how
discharge
patterns
respond
to
can
help
guide
future
efforts
maintain
water
sustainability.
Here,
based
on
a
new
calculation
framework
with
18
dynamic
parameters
designed
for
discharges,
we
finely
tracked
visualized
effects
spatial
temporal
changes
from
1980
2019
Minjiang
River
basin.
The
results
indicate
that
increasing
effect
discharges
peaked
2002
started
contribute
reduction
2010
onward.
direct
impact
only
contributes
shift
rural
urban
areas,
while
bonus
is
key
factor
leading
discharges.
Population
highly
beneficial
chemical
oxygen
demand
(COD)
reduction,
which
has
contributed
COD
NH4+-N
total
phosphorus
(TP)
as
hotspot
pollutants
whole
basin
(NH4+-N
areas
TP
areas).
Moreover,
pollution
resulting
demographic
phenomenon
remained
limited
areas.
Since
approximately
2010,
per
capita
amount
have
exceeded
those
areas;
particular,
reached
four
times
This
suggests
control
strategies
should
give
more
attention
focus
differentiation
targeting
Sustainability,
Год журнала:
2025,
Номер
17(2), С. 800 - 800
Опубликована: Янв. 20, 2025
Rural
domestic
sewage
management
is
a
crucial
pathway
for
achieving
Sustainable
Development
Goal
(SDG)
6
targets.
Addressing
the
challenge
of
prioritizing
administrative
villages
rural
treatment
at
county
scale
requires
dedicated
planning.
However,
county-level
comprehensive
evaluation
models
designed
specifically
this
purpose
are
currently
limited.
To
address
gap,
we
developed
model
based
on
13
indicators
encompassing
village
distribution
characteristics,
villager
demographics,
economic
levels,
and
sanitation
facility
conditions.
gauge
varying
emphasis
these
factors
by
different
groups,
questionnaire
survey
was
conducted
among
experts,
enterprises,
government
departments
involved
in
sector
China.
Two
counties
from
distinct
regions
were
then
chosen
to
validate
models.
The
Analytic
Hierarchy
Process
(AHP)
coupled
with
Technique
Order
Preference
Similarity
Ideal
Solution
(TOPSIS)
method
employed
rank
importance
determine
prioritization
each
area.
results
indicated
that
priority
should
be
given
government,
township
ecologically
sensitive
areas,
near
tourist
attractions
two
selected
empirical
governance.
A
sensitivity
analysis
showed
altitude
consistently
exhibited
high
influencing
ranking
across
all
scenarios
(0.4–0.6).
In
addition,
obtained
largely
consistent
priorities
local
governments.
proposed
framework
offers
practical
application
decision-making
systems
level,
providing
theoretical
support
scientific
strategies.
This
holds
great
significance
SDG
6.
