Identification of driving factors of algal growth in the South-to-North Water Diversion Project by Transformer-based deep learning
Jing Qian,
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Nan Pu,
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Li Qian
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et al.
Water Biology and Security,
Journal Year:
2023,
Volume and Issue:
2(3), P. 100184 - 100184
Published: April 20, 2023
Accurate
and
credible
identification
of
the
drivers
algal
growth
is
essential
for
sustainable
utilization
scientific
management
freshwater.
In
this
study,
we
developed
a
deep
learning-based
Transformer
model,
named
Bloomformer-1,
end-to-end
without
needing
extensive
priori
knowledge
or
prior
experiments.
The
Middle
Route
South-to-North
Water
Diversion
Project
(MRP)
was
used
as
study
site
to
demonstrate
that
Bloomformer-1
exhibited
more
robust
performance
(with
highest
R2,
0.80
0.94,
lowest
RMSE,
0.22–0.43
μg/L)
compared
four
widely
traditional
machine
learning
models,
namely
extra
trees
regression
(ETR),
gradient
boosting
tree
(GBRT),
support
vector
(SVR),
multiple
linear
(MLR).
addition,
had
higher
interpretability
(including
transferability
understandability)
than
which
meant
it
trustworthy
results
could
be
directly
applied
real
scenarios.
Finally,
determined
total
phosphorus
(TP)
most
important
driver
MRP,
especially
in
Henan
section
canal,
although
nitrogen
(TN)
effect
on
Hebei
section.
Based
these
results,
loading
controlling
whole
MRP
proposed
an
control
strategy.
Language: Английский
Enhancing the engineering design of diversion routes to safeguard water quality: New insights from a carbon cycling perspective
Hanlu Yan,
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Qiuwen Chen,
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Yuqing Lin
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et al.
The Innovation Geoscience,
Journal Year:
2024,
Volume and Issue:
2(2), P. 100075 - 100075
Published: Jan. 1, 2024
<p>Conserving
the
quality
of
transferred
water
ensures
success
and
sustainability
interbasin
diversion
works,
which
are
increasingly
crucial
for
global
security.
Despite
intensive
scientific
engineering
efforts,
carbon
dynamics
in
these
artificial
rivers
have
been
overlooked.
The
accumulation
organic
mud
some
transfer
canals,
example,
Middle
Route
South-to-North
Water
Diversion
(SNWT)
China,
poses
multifaceted
risks,
including
jeopardized
quality,
disrupted
supply,
surging
removal
expenses.
In
contrast,
natural
channels
delivery,
such
as
parallel
East
SNWT,
do
not
experience
challenges.
Our
study
reveals
that
open
concrete
canal
Route,
devoid
connections
to
local
bodies,
compromises
hydrological
connectivity,
contrasting
with
enhances
it.
This,
turn,
undermines
microbial
stochastic
assembly
processes,
impedes
introduction
habitat-generalist
species,
facilitates
detrital
within
ecosystem,
presumably
due
constraints
on
bacterial
community
functions.
These
findings
can
improve
future
designs
schemes,
approaches
channel
construction,
preserving
quality.</p>
Language: Английский
Algal proliferation risk assessment using Vine Copula-based coupling methods in the South-to-North Water Diversion Project of China
Xizhi Nong,
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Jun Zeng,
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Yonghang Ma
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et al.
Frontiers in Ecology and Evolution,
Journal Year:
2023,
Volume and Issue:
11
Published: June 13, 2023
The
Middle
Route
of
the
South-to-North
Water
Diversion
Project
China
(MRSNWDPC),
i.e.,
longest
inter-basin
water
diversion
project
(1,432
km)
in
world,
has
delivered
more
than
60
billion
m
3
resources
to
North
and
benefiting
100
million
people
since
December
2014.
However,
abnormal
algal
proliferation
main
canal
under
low
nutrient
background
seriously
threatened
quality
safety
this
mega
project.
In
research,
years
monitoring
data
matrix,
including
temperature
(WT),
flow
discharge
(Q),
velocity
(V),
dissolved
oxygen
(DO),
cell
density
(ACD),
from
MRSNWDPC
were
analyzed.
nonlinear
relationships
determined
based
on
multiple
regression
models,
a
composite
risk
analysis
model
was
constructed
by
Latin
hypercube
sampling
(LHS)
method
coupled
with
Vine
Copula
function.
impacts
different
hydrological
environmental
factors
comprehensively
analyzed
Bayesian
theory.
results
showed
that
WT
gradually
decreased
upstream
downstream,
narrow
range
16.6–17.4°C,
annual
average
concentrations
DO
gradual
increase
downstream.
had
tendency
year
year,
maximum
exceeds
0.8
m/s
upstream,
midstream
downstream
2018.
ACD
accumulated
along
canal,
ACDs
highest,
ranging
366.17
462.95
×
10
4
cells/L.
joint
early-warning
considering
both
conditions
is
an
effective
way
for
warning
management.
When
temperatures
midstream,
below
26,
23°C,
respectively,
can
be
controlled
50%
at
0.3
m/s;
otherwise,
needs
regulated
higher
m/s.
order
keep
avoid
events
(ACD
≥
500
cells/L),
corresponding
need
lower
319
cells/L
470
cells/L,
respectively.
This
study
provides
scientific
reference
long-distance
project’s
control
protection.
proposed
coupling
models
also
widely
applied
multivariate
fields.
Language: Английский
Online monitoring and sampling analysis of siltation in the middle route of the south-to-north water diversion project
Dawei Zhang,
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Xiaolin Han,
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Zhong Qiang
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et al.
Frontiers in Environmental Science,
Journal Year:
2022,
Volume and Issue:
10
Published: July 26, 2022
The
middle
route
project
(MRP)
of
the
South
to
North
Water
Diversion
Project
is
a
significant
infrastructure
and
alleviating
water
scarcity
in
Northern
China.
MRP
suffered
from
untraditional
siltation
problems.
Obvious
occurred
regulating
reservoir
at
end
channel
some
locations
with
weak
hydrodynamic
conditions
when
mineral
concentration
flow
very
low.
To
study
characteristics
time
period,
an
IoT
based
automatic
monitoring
system
using
cloud
was
installed
outlet
inverted
siphon
on
Xiao
River.
Three
years
online
data
since
2018
samples
five
sites
for
particle
size
analysis
were
collected.
shows
that
mainly
occurs
during
March
October,
almost
no
winter.
maximum
speed
can
reach
390
mm
per
day.
gradually
increases
upstream
downstream,
which
range
above
100
m.
organic
matter
contained
increase
40.3
86.4%
downstream
sampling
position,
respectively.
Monitoring
results
main
body
not
traditional
but
remnants
algae
proliferate
large
numbers.
During
temperature
suitable
proliferation
attaches
sediment
particles
grows
flow.
Language: Английский
Identifying Mechanisms of the Outbreak and Termination of Riverine Diatom Blooms Using Daily Sampling Data
Yi‐Ming Kuo,
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Enmin Zhao,
No information about this author
Yan Li
No information about this author
et al.
Published: Jan. 1, 2024
Intensive
anthropogenic
activities
and
climate
change
have
led
to
frequent
algal
blooms
in
rivers
globally,
threatening
riverine
ecosystems.
Traditional
sampling
methods
such
as
monthly
or
seasonal
make
causal
analysis
difficult
due
multiple
influencing
factors
complex
temporal
dynamics
of
algae.
This
study
investigates
the
mechanisms
behind
outbreak
termination
a
diatom
bloom
downstream
Han
River
(DHR)
central
China
using
high-frequency
daily
data
from
February
27
March
27,
2019.
Diatom
density
peaked
at
8.30
×
106
cells/L.
Multivariate
statistical
analyses
revealed
that
increased
water
stabilization,
rising
temperatures
(up
16.2
°C),
high
light
intensity
139
W/m²)
were
key
triggering
bloom,
with
nutrients
not
being
limiting
factors.
Conversely,
nitrogen
levels
found
significantly
correlate
during
period,
indicating
limitation
(TN
reduced
1.216
mg/L)
critical
factor
ending
bloom.
discrepancy
may
stem
use
long-term,
low-frequency
prior
research.
The
highlights
importance
monitoring
capture
rapid
dynamics,
offering
valuable
insights
for
prevention
control
blooms.
Language: Английский
Ecological impacts and supply demand evolution of the Yangtze to Huaihe water transfer project in Anhui section
Wenqing Ding,
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Guangzhi Shi,
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Hui Zha
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et al.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Sept. 2, 2024
Human
activities
have
profound
impacts
on
land
use
and
the
supply–demand
balance
of
ecosystem
services
(ESs).
Various
activities,
such
as
urban
construction,
rural
planning,
inter-basin
water
transfer
projects,
continuously
reshape
patterns.
This
is
a
case
study
Anhui
section
Yangtze-Huaihe
Water
Diversion
Project.
Data
from
2000,
2010,
2020
analyzed.
Additionally,
patch-generating
simulation
(PLUS)
model
utilized
to
quantify
specific
diversion
project
construction
supply
demand
ESs.
The
results
indicate
that
comprehensive
dynamic
attitude
during
period
significantly
increased,
rising
0.16
13.79%,
mainly
affected
forest,
areas,
land,
unused
land.
Specifically,
led
significant
changes
in
purification,
biodiversity,
and,
especially,
hydrological
regulation
services.
migration
residents
impacted
for
also
found
correlation
between
ES
demand:
proportion
cultivated
positively
correlated
with
balance,
while
grassland,
areas
negatively
correlated.
provides
empirical
data
understanding
environmental
socio-economic
large-scale
projects
offers
scientific
basis
local
mitigation
control
adverse
impacts.
Through
quantitative
analysis
prediction,
this
research
effectively
bridges
gap
theory
practice,
providing
important
references
sustainable
regional
development.
Language: Английский
Comprehensive Benefit Assessment of the Middle Route of South-to-North Water Diversion Project Based on Markowitz Theory
Yan Long,
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Jia Qu,
No information about this author
Wei Gao
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et al.
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Sept. 7, 2023
Abstract
In
order
to
maximize
the
water
utilization
rate
of
complex
diversion
projects
at
different
times
and
in
regions,
this
study
takes
actual
benefits
from
2015
2021
Beijing,
Tianjin,
Hebei
province
Henan
receiving
areas
middle
route
project
as
basis,
selects
nine
representative
indicators
regarding
social,
economic
ecological
benefits.
Then
Markowitz
theory
economics
is
used
calculate
combination
allocation
for
achieve
maximum
comprehensive
benefits,
a
model
conservancy
built.
The
results
show
that
are
achieved
when
79.9%
transferred
produce
social
15.8%
4.5%
Language: Английский
Comprehensive Benefit Assessment of the Middle Route of South-to-North Water Diversion Project Based on Markowitz Theory
Yan Long,
No information about this author
Jia Qu,
No information about this author
Tianhao Zhao
No information about this author
et al.
Water,
Journal Year:
2023,
Volume and Issue:
15(24), P. 4212 - 4212
Published: Dec. 6, 2023
In
the
context
of
global
climate
change
and
water-carbon
peak
target,
improving
water
security
in
arid
regions
is
a
persistent
challenge
resources
management.
Water
diversion
projects
can
serve
as
an
important
measure
to
effectively
alleviate
uneven
distribution
resources,
achieve
rational
allocation
efficient
utilization
resources.
However,
how
maximization
comprehensive
benefits
during
process
also
urgent
problem
that
needs
be
solved.
This
study
focuses
on
Middle
Route
Project
South
North
Diversion
China,
selecting
four
municipalities
provinces
2015
2021,
namely
Beijing,
Tianjin,
Hebei
Province,
Henan
based
actual
receiving
areas
middle
line
project.
Nine
representative
indicators
related
social,
economic,
ecological
were
selected
evaluate
optimal
combination
resource
along
central
line,
order
maximum
solve
problems
high
safety
guarantee
requirements
difficult
balanced
urban
agglomerations
areas.
Through
calculation
Markovsky
theoretical
model,
results
show
when
79.9%
conveyance
used
generate
social
benefits,
15.8%
4.5%
economic
project
achieves
benefits.
computational
model
method
provide
technical
support
scientific
reference
for
cross
regional
transfer
projects.
Language: Английский
Evaluation of Water Pollution Prevention and Control Project in the South-to-North Water Diversion Project Based on Machine Learning
Ken Lodewyk
No information about this author
Water Pollution Prevention and Control Project,
Journal Year:
2021,
Volume and Issue:
2(4)
Published: Dec. 18, 2021
During
the
South-to-North
Water
Diversion
(SNWD)
Project,
water
pollution
(WP)
is
caused
by
industrial
production,
domestic
garbage
and
other
reasons,
which
may
affect
role
of
SNWD
Project.Therefore,
WP
governance
project
in
has
become
a
very
important
social
issue.Based
on
this,
this
paper
studied
effect
prevention
control
evaluated
quality
H
section
eastern
route
proposed
prediction
method
based
machine
learning
(ML),
Project
combining
index
evaluation
standard
fuzzy
logic
system.The
results
showed
that
average
absolute
error
was
about
0.16,
root
mean
square
0.25.This
had
certain
accuracy.The
after
good.The
played
its
due
role,
but
there
still
room
for
improvement.
Language: Английский