Abstract.
Large-scale
hydrological
models
(LHMs)
are
commonly
used
for
regional
and
global
assessment
of
future
water
shortage
outcomes
under
climate
socioeconomic
scenarios.
The
irrigation
croplands,
which
accounts
the
lion’s
share
human
consumption,
is
critical
in
understanding
these
trajectories.
Despite
irrigation’s
defining
role,
LHM
frameworks
typically
impose
trajectories
land
use
that
underlie
demand,
neglecting
potential
dynamic
feedbacks
form
instigation
subsequent
adaptation
to
via
irrigated
crop
area
changes.
We
extend
an
LHM,
MOSART-WM,
with
adaptive
farmer
agents,
applying
model
Continental
United
States
explore
emerge
from
interplay
between
hydrologic-driven
surface
availability,
reservoir
management,
adaptation.
extended
modeling
framework
conduct
hypothetical
computational
experiment
comparing
differences
a
run
without
incorporation
agents.
These
comparative
simulations
reveal
accounting
changes
substantially
alters
modeled
outcomes,
U.S.-wide
annual
reduced
by
as
much
42
percent
when
non-adaptive
versions
forced
U.S.
climatology
1950–2009.
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(8)
Published: Feb. 15, 2024
Sustainability
outcomes
are
influenced
by
the
laws
and
configurations
of
natural
engineered
systems
as
well
activities
in
socio-economic
systems.
An
important
subset
human
activity
is
creation
implementation
institutions,
formal
informal
rules
shaping
a
wide
range
behavior.
Understanding
these
codifying
them
computational
models
can
provide
missing
insights
into
why
function
way
they
do
(static)
pace
structure
transitions
required
to
improve
sustainability
(dynamic).
Here,
we
conduct
comparative
synthesis
three
modeling
approaches—
integrated
assessment
modeling,
engineering–economic
optimization,
agent-based
modeling—with
underexplored
potential
represent
institutions.
We
first
perform
experiments
on
climate
mitigation
that
specific
aspects
heterogeneous
including
policies
institutional
coordination,
attitudes
norms.
find
measurable
but
uneven
aggregate
impacts,
while
more
politically
meaningful
distributional
impacts
large
across
various
actors.
Our
results
show
omitting
institutions
influence
costs
miss
opportunities
leverage
forces
speed
up
emissions
reduction.
These
allow
us
explore
capacity
each
approach
insitutions
lay
out
vision
for
next
frontier
endogenizing
change
science
models.
To
bridge
gap
between
theories,
empirical
evidence
social
this
research
agenda
calls
joint
efforts
modelers
who
wish
incorporate
detail,
scientists
studying
socio-political
economic
foundations
transitions.
Earth s Future,
Journal Year:
2024,
Volume and Issue:
12(1)
Published: Jan. 1, 2024
Abstract
Hydrological
extremes,
such
as
droughts
and
floods,
can
trigger
a
complex
web
of
compound
cascading
impacts
(CCI)
due
to
interdependencies
between
coupled
natural
social
systems.
However,
current
decision‐making
processes
typically
only
consider
one
impact
disaster
event
at
time,
ignoring
causal
chains,
feedback
loops,
conditional
dependencies
impacts.
Analyses
capturing
these
patterns
across
space
time
are
thus
needed
inform
effective
adaptation
planning.
This
perspective
paper
aims
bridge
this
critical
gap
by
presenting
methods
for
assessing
the
dynamics
multi‐sector
CCI
hydrological
extremes.
We
discuss
existing
challenges,
good
practices,
potential
ways
forward.
Rather
than
pursuing
single
methodological
approach,
we
advocate
pluralism.
see
complementary
or
even
convergent
roles
analyses
based
on
quantitative
(e.g.,
data‐mining,
systems
modeling)
qualitative
mental
models,
storylines).
The
data‐driven
knowledge‐driven
provided
here
serve
useful
starting
point
understanding
both
high‐frequency
low‐likelihood
but
high‐impact
CCI.
With
perspective,
hope
foster
research
improve
development
strategies
reducing
risk
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(13)
Published: March 18, 2024
Equity
is
core
to
sustainability,
but
current
interventions
enhance
sustainability
often
fall
short
in
adequately
addressing
this
linkage.
Models
are
important
tools
for
informing
action,
and
their
development
use
present
opportunities
center
equity
process
outcomes.
This
Perspective
highlights
progress
integrating
into
systems
modeling
science,
as
well
key
challenges,
tensions,
future
directions.
We
a
conceptual
framework
modeling,
focused
on
its
distributional,
procedural,
recognitional
dimensions.
discuss
examples
of
how
modelers
engage
with
these
different
dimensions
throughout
the
from
across
range
approaches
topics,
including
water
resources,
energy
systems,
air
quality,
conservation.
Synthesizing
examples,
we
identify
significant
advances
enhancing
procedural
by
reframing
models
explore
pluralism
worldviews
knowledge
systems;
enabling
better
represent
distributional
inequity
through
new
computational
techniques
data
sources;
investigating
dynamics
that
can
drive
inequities
linking
approaches;
developing
more
nuanced
metrics
assessing
also
directions,
such
an
increased
focus
using
pathways
transform
underlying
conditions
lead
move
toward
desired
futures.
By
looking
at
diverse
fields
within
argue
there
valuable
mutual
learning
effectively
support
sustainable
equitable
Hydrology and earth system sciences,
Journal Year:
2024,
Volume and Issue:
28(4), P. 899 - 916
Published: Feb. 27, 2024
Abstract.
Large-scale
hydrological
models
(LHMs)
are
commonly
used
for
regional
and
global
assessment
of
future
water
shortage
outcomes
under
climate
socioeconomic
scenarios.
The
irrigation
croplands,
which
accounts
the
lion's
share
human
consumption,
is
critical
in
understanding
these
trajectories.
Despite
irrigation's
defining
role,
LHM
frameworks
typically
impose
trajectories
land
use
that
underlie
demand,
neglecting
potential
dynamic
feedbacks
form
instigation
subsequent
adaptation
to
shortages
via
irrigated
crop
area
changes.
We
extend
an
LHM,
MOSART-WM,
with
adaptive
farmer
agents,
applying
model
continental
United
States
explore
emerge
from
interplay
between
hydrologic-driven
surface
availability,
reservoir
management,
adaptation.
extended
modeling
framework
conduct
a
hypothetical
computational
experiment
comparing
differences
run
without
incorporation
agents.
These
comparative
simulations
reveal
accounting
changes
substantially
alters
modeled
outcomes,
US-wide
annual
being
reduced
by
as
much
42
%
when
non-adaptive
versions
forced
US
climatology
period
1950–2009.
Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(5)
Published: Jan. 16, 2024
Future
climate
change
can
cause
more
days
with
poor
air
quality.
This
could
trigger
alerts
telling
people
to
stay
inside
protect
themselves,
potential
consequences
for
health
and
equity.
Here,
we
study
the
in
US
quality
over
this
century
due
fine
particulate
matter
(PM
2.5
),
who
they
may
affect,
how
respond.
We
find
increase
by
1
mo
per
year
eastern
United
States
2100
quadruple
on
average.
They
predominantly
affect
areas
high
Black
populations
leakier
homes,
exacerbating
existing
inequalities
impacting
those
less
able
adapt.
Reducing
emissions
offer
significant
annual
benefits
($5,400
person)
mitigating
effect
of
pollution
its
associated
risks
early
death.
Relying
adapt,
instead,
would
require
them
inside,
doors
windows
closed,
an
extra
142
d
year,
at
average
cost
$11,000
person.
It
appears
likelier,
however,
that
will
achieve
minimal
protection
without
policy
adaptation
rates.
Boosting
net
benefits,
even
alongside
deep
emission
cuts.
New
policies
could,
example:
reduce
costs;
infiltration
improve
indoor
quality;
awareness
adaptation;
provide
measures
working
or
living
outdoors.
emissions,
conversely,
lowers
everyone’s
need
protects
cannot
Equitably
protecting
human
from
under
requires
both
mitigation
adaptation.
Water Resources Research,
Journal Year:
2024,
Volume and Issue:
60(2)
Published: Feb. 1, 2024
Abstract
Designing
urban
water
systems
to
respond
the
accelerating
and
unpredictable
changes
of
Anthropocene
will
require
not
only
built
infrastructure
operating
rules,
but
also
governance
arrangements
responsible
for
investing
in
them.
Yet,
inclusion
this
political‐economic
feedback
dynamic
models
socio‐hydrology
has
lagged
behind
operational
concerns.
We
address
gap
through
a
dynamical
application
Coupled
Infrastructure
Systems
(CIS)
Framework,
which
provides
conceptual
building
blocks
analyzing
social‐ecological
various
classes
flows
material
information
among
In
model,
involves
three
decisions—infrastructure
investment,
rate‐setting,
short‐term
demand
curtailment—and
each
decision
is
constrained
by
institutional
friction,
aggregation
transaction
costs
associated
with
taking
action.
apply
model
cities
Phoenix
Metropolitan
Area
compare
how
friction
interacts
city's
resource
portfolio
financial
position
determine
its
sensitivity,
or
degree
performance
(e.g.,
providing
sufficient
supply
meet
demand)
given
reductions
Colorado
River
availability.
find
that
slowing
effect
on
investment
rate‐setting
decisions
can
increase
sensitivity
supply,
it
promote
objectives
compete
over‐response
rate
burden).
The
dependent
initial
capacity
CIS
flexibility
within
institutions,
highlighting
need
consider
together
when
evaluating
systems.
Proceedings of the National Academy of Sciences,
Journal Year:
2023,
Volume and Issue:
120(44)
Published: Oct. 23, 2023
Despite
the
growing
calls
to
integrate
realistic
human
behavior
in
sustainability
science
models,
representative
rational
agent
prevails.
This
is
especially
problematic
for
climate
change
adaptation
that
relies
on
actions
at
various
scales:
from
governments
individuals.
Empirical
evidence
individual
climate-induced
hazards
reveals
diverse
behavioral
and
social
factors
affecting
economic
considerations.
Yet,
implications
of
replacing
optimizer
by
nature–society
systems
models
are
poorly
understood.
Using
an
innovative
evolutionary
agent-based
model
we
explore
different
framings
regarding
household
floods,
leveraging
data
a
survey
Miami,
USA.
We
find
significantly
overestimates
diffusion
underestimates
damages
compared
boundedly
revealed
our
survey.
“adaptation
deficit”
exhibited
population
empirically
informed
agents
explained
primarily
“soft”
constraints—awareness,
influences—rather
than
heterogeneity
financial
constraints.
Besides
initial
inequality
disproportionally
impacting
low/medium
adaptive
capacity
households
post-flood,
findings
suggest
even
under
nearly
complete
diffusion,
benefits
uneven,
with
late
or
less-efficient
locking
path
higher
damages,
further
exacerbating
inequalities.
Our
exploratory
modeling
assumptions
shape
uncertainty
physical
factors,
like
exposure
objective
effectiveness
flood-proofing
measures,
traditionally
considered
crucial
risk
assessments.
unique
combination
methods
facilitates
assessment
cumulative
distributional
effects
essential
designing
tailored
policies,
equitable
transitions
general.
Geoscientific model development,
Journal Year:
2025,
Volume and Issue:
18(5), P. 1737 - 1767
Published: March 13, 2025
Abstract.
Groundwater
plays
a
key
role
in
meeting
water
demands,
supplying
over
40
%
of
irrigation
globally,
with
this
likely
to
grow
as
demands
and
surface
variability
increase.
A
better
understanding
the
future
groundwater
sectoral
requires
an
integrated
hydro-economic
evaluation
its
cost
availability.
Yet
substantial
gaps
remain
our
knowledge
modeling
capabilities
related
availability,
recharge,
feasible
locations
for
extraction,
extractable
volumes,
associated
extraction
costs,
which
are
essential
large-scale
analyses
human–water
system
scenarios,
particularly
at
global
scale.
To
address
these
needs,
we
developed
Superwell,
physics-based
accounting
model
that
operates
sub-annual
temporal
coarsest
0.5°
(≈50
km
×
50
km)
gridded
spatial
resolution
coverage.
The
produces
location-specific
supply–cost
curves
provide
levelized
access
different
quantities
available
groundwater.
inputs
Superwell
include
recent
high-resolution
hydrogeologic
datasets
permeability,
porosity,
aquifer
thickness,
depth
table,
hydrogeological
complexity
zones.
It
also
accounts
well
capital
maintenance
energy
costs
required
lift
surface.
employs
Theis-based
scheme
coupled
amortization-based
formulation
simulate
quantify
pumping.
result
is
spatiotemporally
flexible,
physically
realistic,
economics-based
curves.
We
show
examples
insights
can
be
derived
from
them
across
set
scenarios
designed
explore
outcomes.
produced
by
most
(90
%)
nonrenewable
storage
globally
lower
than
USD
0.57
m−3,
while
half
volume
remains
under
0.108
m−3.
unit
estimated
range
minimum
0.004
m−3
maximum
3.971
demonstrate
discuss
how
could
used
linking
Superwell's
outputs
other
models
human–environmental
challenges,
such
resources
planning
management,
or
broader
multisectoral
feedbacks.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Aug. 27, 2024
As
regions
around
the
world
invest
billions
in
new
infrastructure
to
overcome
increasing
water
scarcity,
better
guidance
is
needed
facilitate
cooperative
planning
and
investment
institutionally
complex
interconnected
supply
systems.
This
work
combines
detailed
resource
system
ensemble
modeling
with
multiobjective
intelligent
search
explore
partnership
design
context
of
ongoing
canal
rehabilitation
groundwater
banking
California.
Here
we
demonstrate
that
severe
tradeoffs
can
emerge
between
conflicting
goals
related
deliveries,
size,
underlying
financial
risks
associated
investments.
We
show
how
hydroclimatic
variability
institutional
complexity
create
significant
uncertainty
realized
benefits
heterogeneity
partners'
threaten
viability.
partnerships
substantially
higher
a
fraction
risk
compared
status
quo
processes.
has
important
implications
globally
for
efforts
use
investments
enhance
climate
resilience
stability