Spatiotemporal drivers of urban water pollution: Assessment of 102 cities across the Yangtze River Basin
Yilin Zhao,
No information about this author
Han-Jun Sun,
No information about this author
Xiaodan Wang
No information about this author
et al.
Environmental Science and Ecotechnology,
Journal Year:
2024,
Volume and Issue:
20, P. 100412 - 100412
Published: March 11, 2024
Effective
management
of
large
basins
necessitates
pinpointing
the
spatial
and
temporal
drivers
primary
index
exceedances
urban
risk
factors,
offering
crucial
insights
for
basin
administrators.
Yet,
comprehensive
examinations
multiple
pollutants
within
Yangtze
River
Basin
remain
scarce.
Here
we
introduce
a
pollution
inventory
clusters
surrounding
Basin,
analyzing
water
quality
data
from
102
cities
during
2018–2019.
We
assessed
exceedance
rates
six
pivotal
indicators:
dissolved
oxygen
(DO),
ammonia
nitrogen
(NH3–N),
chemical
demand
(COD),
biochemical
(BOD),
total
phosphorus
(TP),
permanganate
(CODMn)
each
city.
Employing
random
forest
regression
SHapley
Additive
exPlanations
(SHAP)
analyses,
identified
spatiotemporal
factors
influencing
these
key
indicators.
Our
results
highlight
agricultural
activities
as
contributors
to
all
indicators,
thus
them
leading
source
in
basin.
Additionally,
coverage,
livestock
farming,
pharmaceutical
sectors,
along
with
meteorological
elements
like
precipitation
temperature,
significantly
impacted
various
indicators'
exceedances.
Furthermore,
delineate
five
core
components
through
principal
component
analysis,
which
are
(1)
anthropogenic
industrial
activities,
(2)
practices
extent,
(3)
climatic
variables,
(4)
rearing,
(5)
polluting
sectors.
The
were
subsequently
evaluated
categorized
based
on
components,
incorporating
policy
interventions
administrative
performance
region.
analysis
advocates
customized
strategy
addressing
discerned
especially
presenting
elevated
levels.
Language: Английский
A multi-objective optimization and evaluation framework for LID facilities considering urban surface runoff and shallow groundwater regulation
Yishuo Jiang,
No information about this author
Jiake Li,
No information about this author
Jiayu Gao
No information about this author
et al.
Journal of Cleaner Production,
Journal Year:
2024,
Volume and Issue:
478, P. 143921 - 143921
Published: Oct. 9, 2024
Language: Английский
A Quantitative Assessment Framework for Water-Related Policies in Large River Basins
Yilin Zhao,
No information about this author
Han-Jun Sun,
No information about this author
Jie Ding
No information about this author
et al.
Environmental Science and Ecotechnology,
Journal Year:
2025,
Volume and Issue:
24, P. 100537 - 100537
Published: Feb. 13, 2025
Effective
water
management
in
large
river
basins
requires
a
comprehensive
understanding
of
policy
effectiveness
and
regulatory
frameworks.
However,
quantitative
assessments
water-related
policies
remain
limited.
Here,
we
propose
novel
framework
for
evaluating
basins,
providing
an
intuitive
systematic
approach
decision-makers.
Using
the
Yellow
River
Basin-the
second-largest
basin
China-as
case
study,
constructed
database
1271
spanning
68
cities.
We
assessed
completeness
nine
representative
policies,
identifying
key
gaps
environment
governance.
To
evaluate
effectiveness,
developed
system
integrating
two
subsystems:
resource
utilization
treatment,
incorporating
climatic,
economic,
industrial
factors.
Our
findings
reveal
that
governance
were
more
effective
than
those
targeting
utilization,
though
their
impact
was
delayed
by
one
to
years.
Furthermore,
risk-based
analysis
pinpointed
critical
challenges
each
city,
offering
actionable
insights
optimization.
This
provides
robust
scalable
assessing
complex
with
global
applicability
improving
Language: Английский
Spatial and Temporal Characteristics and Drivers of Agricultural Carbon Emissions in Jiangsu Province, China
Chao Hu,
No information about this author
Jin Fan,
No information about this author
Jian Chen
No information about this author
et al.
International Journal of Environmental Research and Public Health,
Journal Year:
2022,
Volume and Issue:
19(19), P. 12463 - 12463
Published: Sept. 30, 2022
Scientific
measurement
and
analysis
of
the
spatial
temporal
distribution
characteristics
agricultural
carbon
emissions
(ACEs)
influencing
factors
are
important
prerequisites
for
formulation
reasonable
ACEs
reduction
policies.
Compared
with
previous
studies,
this
paper
fully
considers
heterogeneity
rice
emission
coefficients,
measures
analyzes
in
Jiangsu
Province
from
three
sources,
including
land
use,
cultivation,
livestock
poultry
breeding,
explores
clustering
patterns
driving
factors,
which
can
provide
a
reference
low-carbon
production.
The
results
indicate
that
2005
to
2020,
Jiangsu's
showed
decreasing
trend,
an
average
annual
decrease
0.32%,
while
density
(ACED)
increasing
increase
0.16%.
area
highest
values
is
concentrated
northern
region
Jiangsu,
areas
ACED
distributed
southern
region.
have
been
strengthening.
"H-H"
agglomeration
mainly
Lianyungang
Suqian,
"L-L"
Zhenjiang,
Changzhou,
Wuxi.
Each
1%
change
rural
population,
economic
development
level,
technology
industry
structure,
urbanization
investment,
per
capita
disposable
income
farmers
causes
changes
0.112%,
-0.127%,
-0.116%,
0.192%,
-0.110%,
-0.114%,
-0.123%
ACEs,
respectively.
To
promote
agriculture
Province,
we
should
actively
regional
synergistic
reduction,
accelerate
construction
new
urbanization,
guide
coordinated
agriculture,
forestry,
animal
husbandry,
fisheries
industries.
Language: Английский
ESSCC: A new multi-scale and extensively applicable evaluation system for the construction of sponge cities
Meng-Qi Ding,
No information about this author
Mei-Yun Lu,
No information about this author
Chen-Hao Cui
No information about this author
et al.
Sustainable Horizons,
Journal Year:
2023,
Volume and Issue:
8, P. 100069 - 100069
Published: Aug. 26, 2023
Sponge
cities
are
actively
being
built
in
China
to
combat
urban
flooding,
and
30
pilot
(regions)
have
been
established
since
2015,
serving
as
a
guide
for
further
research.
In
order
examine
the
intrinsic
links
between
(regional)
characteristics,
planning,
sponge
city
construction
metrics,
ecological
carrying
capacity,
sustainable
development,
this
study
integrates
big
data
machine
learning.
For
evaluation
of
schemes,
we
combined
Artificial
Hierarchical
Processing
(AHP),
Gray
Correlation
Analysis
(GCA),
Back
Propagation
Neural
Networks
(BPNN)
into
multi-scale
model-coupled
qualitative
quantitative
multiple
models
coupling
system.
An
system
(ESSCC),
which
can
be
used
on
multilingual
system,
index
based
capacity
development
developed.
The
could
advance
assessment
optimization
plans
accordance
with
local
conditions
from
perspectives
guaranteeing
function,
ensuring
baseline
natural
resource
utilization
environmental
safety
quality,
safeguarding
development.
is
expected
serve
an
effective
scientific
basis
plan
formulation,
offer
direction
technical
support
promotion
cities.
Language: Английский
Decision support framework adapted to local conditions to select technologies for rural domestic sewage treatment in the Yangtze River Economic Belt
Mei-Yun Lu,
No information about this author
Shan-Shan Yang,
No information about this author
Xin-Lei Yu
No information about this author
et al.
Journal of Cleaner Production,
Journal Year:
2023,
Volume and Issue:
426, P. 139067 - 139067
Published: Sept. 28, 2023
Language: Английский
The impact of national sponge city construction on urban water ecological environment quality
自然资源学报,
Journal Year:
2024,
Volume and Issue:
39(11), P. 2721 - 2721
Published: Jan. 1, 2024
Language: Английский
Study on the Sugar-Producing Effect of High-Temperature Anaerobic Straw Biosaccharification Strain
Chengjiao Xu,
No information about this author
Mengqi Ding,
No information about this author
Chenhao Cui
No information about this author
et al.
Water,
Journal Year:
2022,
Volume and Issue:
14(14), P. 2186 - 2186
Published: July 11, 2022
The
utilization
of
straw
waste
cellulose
will
be
beneficial
by
economic,
social,
and
environmental
means.
present
study
sought
to
screen
the
high-efficiency
sugar-producing
strain
from
corn
straw.
16S
high-throughput
sequencing
method
combination
morphological,
physiological,
biochemical
characteristics
confirmed
Clostridium
thermocellum,
which
was
named
thermocellum
FC811.
Moreover,
single
factor
experiment
conducted
investigate
effect
factors
on
saccharification
efficiency.
optimal
conditions
FC811
selected
through
response
surface
analysis
were
as
follows:
temperature
58.9
°C,
pH
7.21,
culture
time
6.60
d,
substrate
concentration
5.01
g/L,
yeast
powder
2.15
g/L.
soluble
sugar
yield
3.11
conversion
rate
reducing
62.2%.
This
provide
a
reference
for
resource
energy
materials,
simultaneous
fermentation
hydrogen
production,
their
large-scale
production
application.
Language: Английский