Energies,
Journal Year:
2022,
Volume and Issue:
15(5), P. 1682 - 1682
Published: Feb. 24, 2022
To
date,
hydropower
dams
raise
numerous
interpretations
about
their
impact
on
the
Lancang-Mekong
River.
While
most
research
studies
analyze
negative
aspects
of
development
people’s
livelihoods
and
local
environments,
sector
was
historically
one
iconic
economic
segments
facilitating
transboundary
water
cooperation
for
decades.
By
using
constructive
discourse
analysis
critical
political
ecology
approach,
presented
text
(1)
outlines
current
environmental
narratives
over
(2)
explores
politicization
Chinese
mainstream
dams.
The
data
were
collected
upon
multi-level
content
relevant
sources
double-checked
with
Cooperation
Conflict
Database
(LMCCD)
monitoring
4000
water-related
events
among
six
riparian
countries
between
1990
2021.
Our
show
that
(i)
there
is
a
stark
contrast
in
positive
rapid
development,
(ii)
river
more
often
discussed
than
tributary
dams,
(iii)
implications
are
interpreted
non-traditional
inputs
rather
widely
accepted
studies,
(iv)
developing
contradictory
arguments
through
social
public
media
contributes
to
greater
polarization
multi-stakeholders’
viewpoints
accountable
dialogue.
npj Urban Sustainability,
Journal Year:
2021,
Volume and Issue:
1(1)
Published: June 21, 2021
Abstract
Natural
infrastructure
such
as
parks,
forests,
street
trees,
green
roofs,
and
coastal
vegetation
is
central
to
sustainable
urban
management.
Despite
recent
progress,
it
remains
challenging
for
decision-makers
incorporate
the
benefits
of
natural
into
design
planning.
Here,
we
present
an
approach
support
greening
cities
by
quantifying
mapping
diverse
now
in
future.
The
relies
on
open-source
tools,
within
InVEST
(Integrated
Valuation
Ecosystem
Services
Tradeoffs)
software,
that
compute
biophysical
socio-economic
metrics
relevant
a
variety
decisions
data-rich
or
data-scarce
contexts.
Through
three
case
studies
China,
France,
United
States,
show
how
spatially
explicit
information
about
nature
enhances
management
improving
economic
valuation,
prioritizing
land
use
change,
promoting
inclusive
planning
stakeholder
dialogue.
We
discuss
limitations
including
modeling
uncertainties
limited
suite
output
metrics,
propose
research
directions
mainstream
integrated
Water Resources Research,
Journal Year:
2020,
Volume and Issue:
56(11)
Published: Oct. 29, 2020
In
this
synthesis,
we
assess
present
research
and
anticipate
future
development
needs
in
modeling
water
quality
watersheds.
We
first
discuss
areas
of
potential
improvement
the
representation
freshwater
systems
pertaining
to
quality,
including
environmental
interfaces,
in-stream
process
interactions,
soil
health
land
management,
(peri-)urban
areas.
addition,
provide
insights
into
contemporary
challenges
practices
watershed
modeling,
control
monitoring
data,
model
parameterization
calibration,
uncertainty
scale
mismatches,
provisioning
tools.
Finally,
make
three
recommendations
a
path
forward
for
improving
science,
infrastructure,
practices.
These
include
building
stronger
collaborations
between
experimentalists
modelers,
bridging
gaps
modelers
stakeholders,
cultivating
applying
procedural
knowledge
better
govern
support
processes
within
organizations.
Water Resources Research,
Journal Year:
2020,
Volume and Issue:
56(1)
Published: Jan. 1, 2020
Abstract
As
watershed
management
programs
have
become
more
common
globally,
so
efforts
to
support
these
initiatives
through
hydrologic
modeling
and
monitoring.
However,
are
often
guided
by
oversimplified
assumptions
of
how
work
the
quantity,
quality,
type
information
needed
their
planning,
implementation,
evaluation.
Semi‐structured
interviews
focus
groups
with
project
managers,
funders,
participants
in
three
Atlantic
Forest
Brazil
revealed
a
range
monitoring
needs
programs.
We
identify
five
opportunities
for
overlapping
contexts:
(1)
inspire
action
support,
(2)
inform
investment
decisions,
(3)
engage
potential
participants,
(4)
prioritize
location
types
activities
at
regional
national
scales,
(5)
evaluate
program
success.
Within
opportunities,
understanding
who
will
use
generated
they
do
is
critical
increasing
salience,
credibility,
legitimacy
efforts.
Hydrologic
play
small
but
role
larger
context
conceptualization,
design,
evaluation;
grounding
local
contexts
supports
projects
relevant
effective
ways.
Water Resources Research,
Journal Year:
2022,
Volume and Issue:
58(2)
Published: Feb. 1, 2022
Abstract
Computer
models
are
frequently
used
tools
in
hydrological
research.
Many
decisions
related
to
the
model
set‐up
and
configuration
have
be
made
before
a
can
run,
influencing
results.
This
study
is
an
empirical
investigation
of
motivations
for
certain
modeling
decisions.
Fourteen
modelers
from
three
different
institutes
were
interviewed
about
their
In
total,
83
identified.
Most
team
modeler
themselves,
“Experience
colleagues”
was
most
mentioned
motivation.
Both
institutionalization
internalization
observed:
introduce
concept
that
subsequently
becomes
teams'
standard,
or
internalize
default
approach.
These
processes
depend
on
experience
modeler.
For
selection,
two
types
identified:
(from
colleagues
themselves),
vision
(the
has
assets
align
with
vision).
Model
studies
mainly
driven
by
context,
such
as
time
constraints,
colleagues,
facilities
at
institute,
rather
than
epistemic
(such
aligning
The
role
local
context
construction
value
assigned
shows
social
constructs,
making
results
time,
place
dependent.
To
account
this
estimation
robustness
results,
we
need
diversity
opinions,
perspectives,
approaches.
requires
transparent
procedures
explicit
each
study.
Authorea (Authorea),
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 15, 2024
Understanding
climate
change
impacts
on
global
marine
ecosystems
and
fisheries
requires
complex
ecosystem
models,
forced
by
projections,
that
can
robustly
detect
project
changes.
The
Fisheries
Marine
Ecosystems
Model
Intercomparison
Project
(FishMIP)
uses
an
ensemble
modelling
approach
to
fill
this
crucial
gap.
Yet
FishMIP
does
not
have
a
standardised
skill
assessment
framework
quantify
the
ability
of
member
models
reproduce
past
observations
guide
model
improvement.
In
study,
we
apply
comprehensive
subset
produce
historical
catches.
We
consider
suite
metrics
assess
their
utility
in
illustrating
models’
observed
Our
findings
reveal
improvement
performance
at
both
regional
(Large
Ecosystem)
scales
from
Coupled
Phase
5
6
simulation
rounds.
analysis
underscores
importance
employing
easily
interpretable,
relative
estimate
capability
capture
temporal
variations,
alongside
absolute
error
measures
characterise
shifts
magnitude
these
variations
between
across
developed
tested
here
provides
first
objective
baseline
ensemble’s
reproducing
catch
scale.
This
be
further
improved
systematically
applied
test
reliability
whole
future
rounds
include
more
variables
like
fish
biomass
or
production.
Journal of Environmental Management,
Journal Year:
2020,
Volume and Issue:
278, P. 111520 - 111520
Published: Nov. 7, 2020
The
risk
of
a
large-scale
oil
spill
remains
significant
in
marine
environments
as
international
maritime
transport
continues
to
grow.
environmental
well
the
socio-economic
impacts
could
be
substantial.
Oil
models
and
modeling
tools
for
Pollution
Preparedness
Response
(PPR)
can
support
effective
management.
However,
there
is
lack
integrated
approaches
that
consider
risks
comprehensively,
learn
from
all
information
sources,
treat
system
uncertainties
an
explicit
manner.
Recently,
use
ISO
31000:2018
management
framework
has
been
suggested
suitable
basis
supporting
PPR
Bayesian
networks
(BNs)
are
graphical
express
uncertainty
probabilistic
form
thus
decision-making
processes
when
complex
data
scarce.
While
BNs
have
increasingly
used
assessment
(OSRA)
PPR,
no
link
between
literature
previously
made.
This
study
explores
how
aligned
with
by
offering
flexible
approach
integrate
various
sources
knowledge.
In
order
gain
insight
current
utilization
(OSRA-BNs)
preparedness
response,
review
was
performed.
focused
on
articles
presenting
BN
analyze
occurrence
spills,
consequence
mitigation
terms
offshore
shoreline
spills
variables
interest.
Based
results,
discusses
benefits
applying
challenges
further
research
needs.
