JAWRA Journal of the American Water Resources Association,
Год журнала:
2020,
Номер
56(5), С. 903 - 916
Опубликована: Авг. 19, 2020
Abstract
National
Hydrography
Dataset
(NHD)
stream
permanence
classifications
(SPC;
perennial,
intermittent,
and
ephemeral)
are
widely
used
for
data
visualization
applied
science,
have
implications
resource
policy
management.
NHD
SPC
were
assigned
using
a
combination
of
topographic
field
surveys
interviews
with
local
residents.
However,
previous
studies
indicate
that
non‐NHD,
in
situ
streamflow
observations
(NNO)
frequently
disagree
SPC.
We
hypothesized
differences
annual
climate
conditions
between
map
creation
years
the
NNO
collected
contributed
to
disagreement
compared
10,055
(classified
as
“wet”
or
“dry”)
Pacific
Northwest
1977
2015.
Annual
described
Palmer
Drought
Severity
Index
(PDSI).
Stream
order
was
added
covariate
account
different
effects
along
network.
agreed
80.5%
NNO.
“Dry”
five
times
more
likely
than
(
p
<
0.0001).
Disagreement
greatest
on
first‐order
streams.
When
during
wetter
period
probability
increased
by
factor
1.17
0.0001)
per
unit
difference
PDSI.
The
influence
disagreements
provides
support
continued
development
dynamic
models
representing
opposed
static
classifications.
Wiley Interdisciplinary Reviews Water,
Год журнала:
2021,
Номер
8(2)
Опубликована: Фев. 5, 2021
Abstract
Non‐perennial
rivers
and
streams
are
ubiquitous
on
our
planet.
Although
several
metrics
have
been
used
to
statistically
group
or
compare
streamflow
characteristics,
there
is
currently
no
widely
definition
of
how
many
days
over
what
reach
length
surface
flow
must
cease
in
order
classify
a
river
as
non‐perennial.
At
the
same
time,
breadth
climate
geographic
settings
for
non‐perennial
leads
diversity
their
regimes,
such
often
quickly
they
go
dry.
These
rich
expanding
body
literature
addressing
ecologic
geomorphic
features,
but
said
be
ignored
by
hydrologists.
Yet
much
we
do
know
about
hydrology
terms
generation
processes,
water
losses,
variability
flow.
We
also
that
while
prevalent
arid
regions,
occur
across
all
types
experience
diverse
set
natural
anthropogenic
controls
streamflow.
Furthermore,
measuring
modeling
these
presents
distinct
challenges,
research
directions,
which
still
require
further
attention.
Therefore,
present
an
overview
current
understanding,
methodologic
knowledge
gaps,
directions
hydrologic
understanding
rivers;
critical
topics
light
both
growing
global
scarcity
ever‐changing
laws
policies
dictate
whether
environmental
protection
receive.
This
article
categorized
under:
Science
Water
>
Environmental Research Letters,
Год журнала:
2021,
Номер
16(8), С. 084033 - 084033
Опубликована: Июль 29, 2021
Abstract
Non-perennial
streams
are
widespread,
critical
to
ecosystems
and
society,
the
subject
of
ongoing
policy
debate.
Prior
large-scale
research
on
stream
intermittency
has
been
based
long-term
averages,
generally
using
annually
aggregated
data
characterize
a
highly
variable
process.
As
result,
it
is
not
well
understood
if,
how,
or
why
hydrology
non-perennial
changing.
Here,
we
investigate
trends
drivers
three
signatures
that
describe
duration,
timing,
dry-down
period
across
continental
United
States
(CONUS).
Half
gages
exhibited
significant
trend
through
time
in
at
least
one
signatures,
changes
no-flow
duration
were
most
pervasive
(41%
gages).
Changes
substantial
for
many
streams,
7%
annual
exceeding
100
days
during
study
period.
Distinct
regional
patterns
change
evident,
with
widespread
drying
southern
CONUS
wetting
northern
CONUS.
These
correlated
aridity,
though
spatiotemporal
variability
diverse
signatures.
While
timing
strongly
related
climate,
was
watershed
land
use
physiography.
Our
results
indicate
conditions
increasing
prevalence
over
much
binary
classifications
‘perennial’
‘non-perennial’
an
accurate
reflection
this
change.
Water
management
should
reflect
changing
nature
both
today
future.
Wiley Interdisciplinary Reviews Water,
Год журнала:
2020,
Номер
7(3)
Опубликована: Апрель 13, 2020
Abstract
Streamflow
observations
can
be
used
to
understand,
predict,
and
contextualize
hydrologic,
ecological,
biogeochemical
processes
conditions
in
streams.
Stream
gages
are
point
measurements
along
rivers
where
streamflow
is
measured,
often
infer
upstream
watershed‐scale
processes.
When
stream
read
zero,
this
may
indicate
that
the
has
dried
at
location;
however,
zero‐flow
readings
also
caused
by
a
wide
range
of
other
factors.
Our
ability
identify
whether
or
not
gage
reading
indicates
dry
fluvial
system
far
reaching
environmental
implications.
Incorrect
identification
interpretation
data
user
lead
inaccurate
and/or
predictions
from
models
analyses.
Here,
we
describe
several
causes
readings:
frozen
surface
water,
flow
reversals,
instrument
error,
natural
human‐driven
source
losses
bypass
flow.
For
these
examples,
discuss
implications
interpretations.
We
highlight
additional
methods
for
determining
presence,
including
direct
observations,
statistical
methods,
hydrologic
models,
which
applied
interpret
reach‐
dynamics.
Such
efforts
necessary
improve
our
understand
predict
activation,
cessation,
connectivity
across
river
networks.
Developing
integrated
understanding
possible
meanings
zero‐flows
will
only
attain
greater
importance
more
variable
changing
climate.
This
article
categorized
under:
Science
Water
>
Methods
Hydrological
Processes
Life
Conservation,
Management,
Awareness
Geoderma,
Год журнала:
2021,
Номер
404, С. 115280 - 115280
Опубликована: Июнь 15, 2021
Spatially
extensive
high-resolution
soil
moisture
mapping
is
valuable
in
practical
forestry
and
land
management,
but
challenging.
Here
we
present
a
novel
technique
involving
use
of
LIDAR-derived
terrain
indices
machine
learning
(ML)
algorithms
capable
accurately
modeling
at
2
m
spatial
resolution
across
the
entire
Swedish
forest
landscape.
We
used
field
data
from
about
20,000
sites
Sweden
to
train
evaluate
multiple
ML
models.
The
predictor
features
(variables)
included
suite
generated
national
LIDAR
digital
elevation
model
ancillary
environmental
features,
including
surficial
geology,
climate
use,
enabling
adjustment
class
maps
regional
or
local
conditions.
Extreme
gradient
boosting
(XGBoost)
provided
better
performance
for
2-class
model,
manifested
by
Cohen's
Kappa
Matthews
Correlation
Coefficient
(MCC)
values
0.69
0.68,
respectively,
than
other
tested
methods:
Artificial
Neural
Network,
Random
Forest,
Support
Vector
Machine,
Naïve
Bayes
classification.
depth
water
index,
topographic
wetness
'wetland'
categorization
derived
property
were
most
important
predictors
all
presented
enabled
generation
3-class
with
MCC
0.58.
In
addition
classified
maps,
investigated
technique's
potential
producing
continuous
maps.
argue
that
probability
pixel
being
as
wet
can
be
0–100%
index
(dry
wet)
moisture,
resulting
could
provide
more
information
management
Geophysical Research Letters,
Год журнала:
2021,
Номер
48(2)
Опубликована: Янв. 26, 2021
Abstract
Over
half
of
global
rivers
and
streams
lack
perennial
flow,
understanding
the
distribution
drivers
their
flow
regimes
is
critical
for
hydrologic,
biogeochemical,
ecological
functions.
We
analyzed
nonperennial
using
540
U.S.
Geological
Survey
watersheds
across
contiguous
United
States
from
1979
to
2018.
Multivariate
analyses
revealed
regional
differences
in
no‐flow
fraction,
date
first
no
duration
dry‐down
period,
with
further
divergence
between
natural
human‐altered
watersheds.
Aridity
was
a
primary
driver
metrics
at
continental
scale,
while
unique
combinations
climatic,
physiographic
anthropogenic
emerged
scales.
Dry‐down
showed
stronger
associations
nonclimate
compared
fraction
timing.
Although
sparse
gages
limits
our
such
streams,
examined
here
suggest
important
role
aridity
land
cover
change
modulating
future
stream
drying.
Water Resources Research,
Год журнала:
2020,
Номер
56(4)
Опубликована: Март 23, 2020
Abstract
In
the
majority
of
existing
studies,
streams
are
conceived
as
static
objects
that
occupy
predefined
regions
landscape.
However,
empirical
observations
suggest
stream
networks
systematically
and
ubiquitously
featured
by
significant
expansion/retraction
dynamics
produced
hydrologic
climatic
variability.
This
contribution
presents
novel
data
about
active
drainage
network
a
5
km
2
headwater
catchment
in
Italian
Alps.
The
has
been
extensively
monitored
with
biweekly
temporal
resolution
during
field
campaign
conducted
from
July
to
November
2018.
Our
results
reveal
that,
spite
wet
climate
typical
study
area,
more
than
70%
observed
river
is
temporary,
presence
disconnected
reaches
periods.
Available
have
used
develop
set
simple
statistical
models
were
able
properly
reconstruct
length
function
antecedent
precipitation.
rainfall
timing
intensity
represent
major
controls
on
length,
while
evapotranspiration
minor
effect
intraseasonal
changes
density.
also
indicate
multiple
expansion
retraction
cycles
simultaneously
operate
at
different
time
scales,
response
distinct
hydrological
processes.
Furthermore,
we
found
spatial
patterns
unchanneled
lengths
related
underlying
heterogeneity
geological
attributes.
offers
insights
physical
mechanisms
driving
low‐order
alpine
catchments.
Wiley Interdisciplinary Reviews Water,
Год журнала:
2021,
Номер
8(4)
Опубликована: Май 4, 2021
Abstract
Intermittent
rivers
and
ephemeral
streams
(IRES)
are
now
recognized
to
support
specific
freshwater
biodiversity
ecosystem
services
represent
approximately
half
of
the
global
river
network,
a
fraction
that
is
likely
increase
in
context
changes.
Despite
large
research
efforts
on
IRES
during
past
few
decades,
there
need
for
developing
systemic
approach
considers
their
hydrological,
hydrogeological,
hydraulic,
ecological,
biogeochemical
properties
processes,
as
well
interactions
with
human
societies.
Thus,
we
assert
interdisciplinary
promoted
by
critical
zone
sciences
socio‐ecology
relevant.
These
approaches
rely
infrastructure—Critical
Zone
Observatories
(CZO)
Long‐Term
Socio‐Ecological
Research
(LTSER)
platforms—that
representative
diversity
(e.g.,
among
climates
or
types
geology.
We
illustrate
this
within
French
CZO
LTSER,
including
socio‐ecosystems,
detail
IRES.
networks
also
specialized
long‐term
observations
required
detect
measure
responses
climate
forcings
despite
delay
buffering
effects
ecosystems.
The
LTSER
platforms
development
innovative
techniques
data
analysis
methods
can
improve
characterization
IRES,
particular
monitoring
flow
regimes,
groundwater‐surface
water
flow,
biogeochemistry
rewetting.
provide
scientific
methodological
perspectives
which
its
associated
infrastructure
would
relevant
original
insights
help
fill
knowledge
gaps
about
This
article
categorized
under:
Water
Life
>
Stresses
Pressures
Ecosystems
Science
Hydrological
Processes
Conservation,
Management,
Awareness
Scientific Reports,
Год журнала:
2020,
Номер
10(1)
Опубликована: Окт. 28, 2020
Abstract
Climate
change
is
anticipated
to
increase
the
frequency
and
intensity
of
droughts,
with
major
impacts
ecosystems
globally.
Broad-scale
assessments
vegetation
responses
drought
are
needed
anticipate,
manage,
potentially
mitigate
climate-change
effects
on
ecosystems.
We
quantified
sensitivity
in
Pacific
Northwest,
USA,
as
percent
reduction
greenness
under
droughts
relative
baseline
moisture
conditions.
At
a
regional
scale,
shrub-steppe
ecosystems—with
drier
climates
lower
biomass—showed
greater
than
conifer
forests.
However,
variability
was
considerable
within
biomes
mediated
by
landscape
topography,
climate,
soil
characteristics.
Drought
generally
areas
higher
elevation,
bulk
density.
Ecosystems
high
included
dry
forests
along
ecotones
shrublands,
Rocky
Mountain
subalpine
forests,
cold
upland
sagebrush
communities.
In
valley
bottoms
low
density
available
water
capacity
showed
reduced
sensitivity,
suggesting
their
potential
refugia.
These
regional-scale
drought-sensitivity
patterns
discerned
from
remote
sensing
can
complement
plot-scale
studies
plant
physiological
help
inform
climate-adaptation
planning
conditions
intensify.