Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(2), P. 530 - 530
Published: Jan. 16, 2023
Many
regions
worldwide
suffer
from
heavy
air
pollution
caused
by
particulate
matter
(PM2.5)
and
nitrogen
dioxide
(NO2),
resulting
in
a
huge
annual
disease
burden
significant
welfare
costs.
Following
the
outbreak
of
COVID-19
global
pandemic,
enforced
curfews
restrictions
on
human
mobility
(so-called
periods
‘lockdown’)
have
become
important
measures
to
control
spread
virus.
This
study
aims
investigate
improvement
quality
following
lockdown
projected
benefits
for
environmental
health.
China
was
chosen
as
case
study.
The
work
projects
premature
deaths
costs
integrating
PM2.5
NO2
pollutant
measurements
derived
satellite
imagery
(MODIS
instruments
Terra
Aqua,
TROPOMI
Sentinel-5P)
with
census
data
archived
Organization
Economic
Co-operation
Development
(OECD).
A
91-day
timeframe
centred
initial
date
23
January
2020
investigated.
To
perform
projections,
OECD
five
variables
1990
2019
(mean
population
exposure
ambient
PM2.5,
deaths,
costs,
gross
domestic
product
population)
were
used
training
run
Autoregressive
Integrated
Moving
Average
(ARIMA)
multiple
regression
models.
analysis
revealed
that
across
Beijing,
Hebei,
Shandong,
Henan,
Xi’an,
Shanghai
Hubei,
average
concentrations
decreased
6.2,
30.7,
14.1,
20.7,
29.3,
5.5
17.3%,
while
45.5,
54.7,
60.5,
58.7,
63.6,
50.5
66.5%,
respectively,
during
period
2020,
compared
equivalent
2019.
Such
improvements
found
be
beneficial,
reducing
both
number
approximately
97,390
over
USD
74
billion.
International Journal of Disaster Risk Reduction,
Journal Year:
2023,
Volume and Issue:
95, P. 103894 - 103894
Published: July 26, 2023
Urban
flooding
is
a
priority
in
natural
risk
management
and
mitigation
because
it
the
most
frequent
disaster
densely
urbanised
environments.
This
research
explores
flood
vulnerability
cities
by
developing
an
index
that
can
be
easily
implemented
across
world.
Our
methodology
based
on
arrangement
of
series
variables
into
three
different
classes
(demography,
socioeconomics
infrastructure)
determination
their
spatial
variability
through
Principal
Component
Analysis
(PCA).
We
tested
proposed
approach
city
Santander
(Spain)
where
map
was
generated
combination
classes.
The
analysis
show
we
reduce
complexity
from
initially
identified
159
relevant
to
16
representative
impactful
terms
variance.
Classification
made
possible
quantify
main
causes
space.
produce
integrating
our
findings
with
hazard
for
same
area.
gives
urban
planners
detailed
information
about
affected
areas
allows
them
design
measures
mitigate
severity
effects
floods
optimising
available
resources.
MethodsX,
Journal Year:
2019,
Volume and Issue:
6, P. 862 - 875
Published: Jan. 1, 2019
Identifying
vulnerable
levels
of
eco-environment
over
a
global
scale
is
critical
for
environmental
management
and
ecological
conservation.
We
present
the
method
to
optimize
use
freely
assessable
datasets
derive
16
factors
proposed
assessment
framework
(Nguyen
Liou,
2019;
Liou
et
al.,
2017;
Nguyen
2016)
[[1],
[2],
[3]].
Results
show
that
are
suitable
evaluating
eco-environmental
vulnerability
(GEV).
PM2.5
hazardous
substance
in
environment
an
anthropogenic
disturbance
associated
with
nature
human-made
influence
selected
validate
GEV
map.
The
map
well
correlates
distribution
patterns
correlation
coefficient
approximately
0.82.
All
mapping
procedures
processed
ArcGIS
10.3/QGIS
2.16.3
software.
Advantages
our
include
three
aspects:
•The
analysis
procedure
simple
but
powerful,
while
dealing
various
complex
issues.•The
flexible
adjust
influential
indicators
subject
conditions
concerned
regions
purposes
decision
makers.•The
can
be
easily
applied
different
scales.
Our
findings
eco-protection
zoning
provide
key
hotspots
makers
people
take
further
actions
lessen
disturbances
achieve
sustainability.
Frontiers in Marine Science,
Journal Year:
2022,
Volume and Issue:
9
Published: Sept. 29, 2022
Bacterial
diseases
of
marine
fish
inflict
significant
economic
damage
to
fisheries
and
aquaculture
pose
an
increasing
risk
public
health.
When
addressing
disease,
accumulating
body
research
suggests
adding
another
factor
the
classic
epidemiological
triangle
host-environment-pathogen:
microbiome.
The
gills,
being
a
gateway
into
bearing
important
role
in
homeostasis,
have
been
found
be
proxy
gut
microbiota
as
well
reflecting
microbial
communities
surrounding
water.
In
this
study,
16S
rRNA
amplicons
bacterial
DNA
extracted
from
gills
89
asymptomatic
specimens
three
wild
species
(
Pagrus
caeruleostictus
,
Scomber
colias
Saurida
lessepsianus
)
were
sequenced
using
Next
Generation
Sequencing
methodology
(NGS).
Data
analyses
revealed
presence
41
potentially
pathogenic
species,
including
several
zoonotic
agents.
Five
genera
known
include
widespread
chosen
for
further
investigation:
Photobacterium,
Shewanella,
Staphylococcus,
Streptococcus
Vibrio
.
Of
these,
Photobacterium
Shewanella
proved
most
prevalent
abundant,
making
up
30.2%
11.3%
Bluespotted
seabream
P.
gill
microbiome
alone.
damselae
baltica
common
at
level.
remaining
-
Vibrio,
Staphylococcus
–
less
prevalent,
level
comprised
only
1−4%
representatives.
Gill
microbiomes
exhibited
host
specificity,
with
strong
correlations
between
certain
taxonomic
groups.
No
definite
obligatory
bacteria
it
was
suggested
that
are
present
either
covert
pathobionts
or
opportunists
them.
Water,
Journal Year:
2022,
Volume and Issue:
14(1), P. 106 - 106
Published: Jan. 4, 2022
The
DPSIR
model
is
a
conceptual
established
by
the
European
Environment
Agency
to
solve
environmental
problems.
It
provides
an
overall
framework
for
analysis
of
problems
from
five
aspects:
driving
force
(D),
pressure
(P),
state
(S),
impact
(I),
and
response
(R).
Through
use
framework,
this
paper
presents
SEEC
approach
evaluating
watershed
ecological
security.
considers
four
socioeconomic
health
(E),
ecosystem
services
function
control
management
(C).
screening,
38
evaluation
indicators
were
determined.
results
showed
that
security
index
study
area
was
>80,
indicating
generally
safe
level.
lowest
score
mainly
attributable
low
rate
treatment
rural
domestic
sewage.
water
quality
status
used
evaluate
applicability
model,
calculation
indicated
higher
results,
better
status.
findings
show
demonstrates
satisfactory
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(2), P. 530 - 530
Published: Jan. 16, 2023
Many
regions
worldwide
suffer
from
heavy
air
pollution
caused
by
particulate
matter
(PM2.5)
and
nitrogen
dioxide
(NO2),
resulting
in
a
huge
annual
disease
burden
significant
welfare
costs.
Following
the
outbreak
of
COVID-19
global
pandemic,
enforced
curfews
restrictions
on
human
mobility
(so-called
periods
‘lockdown’)
have
become
important
measures
to
control
spread
virus.
This
study
aims
investigate
improvement
quality
following
lockdown
projected
benefits
for
environmental
health.
China
was
chosen
as
case
study.
The
work
projects
premature
deaths
costs
integrating
PM2.5
NO2
pollutant
measurements
derived
satellite
imagery
(MODIS
instruments
Terra
Aqua,
TROPOMI
Sentinel-5P)
with
census
data
archived
Organization
Economic
Co-operation
Development
(OECD).
A
91-day
timeframe
centred
initial
date
23
January
2020
investigated.
To
perform
projections,
OECD
five
variables
1990
2019
(mean
population
exposure
ambient
PM2.5,
deaths,
costs,
gross
domestic
product
population)
were
used
training
run
Autoregressive
Integrated
Moving
Average
(ARIMA)
multiple
regression
models.
analysis
revealed
that
across
Beijing,
Hebei,
Shandong,
Henan,
Xi’an,
Shanghai
Hubei,
average
concentrations
decreased
6.2,
30.7,
14.1,
20.7,
29.3,
5.5
17.3%,
while
45.5,
54.7,
60.5,
58.7,
63.6,
50.5
66.5%,
respectively,
during
period
2020,
compared
equivalent
2019.
Such
improvements
found
be
beneficial,
reducing
both
number
approximately
97,390
over
USD
74
billion.