Integrated Modeling and Management of Non-Point Source Pollution in the Bailin River Basin: Best Practices for Reducing Nutrient Loads
Abstract
The
Bailin
River,
a
key
tributary
of
the
Yangtze
faces
significant
water
quality
challenges
due
to
agricultural
non-point
source
(NPS)
pollution
exacerbated
by
industrial
discharge
and
urban
runoff.
This
study
employs
Soil
Water
Assessment
Tool
(SWAT)
analyze
temporal
spatial
dynamics
runoff
as
well
total
nitrogen
(TN)
phosphorus
(TP)
loads
in
River
basin
from
2020
2023.
A
critical
area
analysis
was
performed
identify
regions
disproportionately
contributing
pollutant
loads.
Through
various
simulations,
including
different
Best
Management
Practices
(BMPs)
scenarios,
explores
their
effectiveness
reducing
nutrient
findings
reveal
that
losses
are
significantly
concentrated
during
flood
season,
with
TN
TP
accounting
for
58.61%
58.92%
annual
totals,
respectively.
Specific
BMP
combining
optimized
fertilization,
vegetation
buffer
strips,
grass
ditches,
demonstrated
substantial
reduction,
best
combinations
exceeding
58%
reductions
both
TP.
emphasizes
necessity
targeted
interventions
areas
optimize
management
strategies
achieve
better
outcomes.
Continuous
monitoring
adaptive
practices
will
be
crucial
addressing
ongoing
this
basin.
Ultimately,
research
contributes
deeper
understanding
NPS
mountainous
watersheds
highlights
effective
pathways
improved
ecological
health
quality.
Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 10, 2025
Language: Английский