Despite
much
published
literature
on
the
impacts
of
agriculture
water
quality,
knowledge
gaps
persist
regarding
which
farming
systems
are
most
concern
for
these
relationships,
could
help
resource
planners
better
target
management
efforts.
This
study
addresses
subjects,
seeking
to
understand
how
this
relationship
varies
across
different
systems.
We
used
data
quality
status
in
watersheds
an
agricultural
region
southern
Portugal
and
crossed
it
with
a
map
same
provided
by
previous
study.
By
overlaying
both
layers,
we
characterized
areal
shares
inspected
relate
through
logistic
regression.
Results
support
that
impact
is
mostly
related
specific
believe
type
information
can
be
high
interest
policymakers
interested
meeting
standards,
conclude
suggesting
innovative
policy
options
based
payments
farmers
operating
selected
systems,
as
cost-effective
way
reconcile
environmental
objectives.
Water,
Journal Year:
2024,
Volume and Issue:
16(4), P. 514 - 514
Published: Feb. 6, 2024
In
regions
where
drought
has
become
a
common
occurrence
for
most
of
the
year
and
agriculture
is
main
economic
activity,
development
hydro-agricultural
systems
made
it
possible
to
improve
water
management.
Despite
this,
intensification
combined
with
climate
change
leads
potential
decrease
in
quality
management
practices
are
essential
agro-environmental
sustainability.
The
aim
this
study
was
assess
irrigation
ecological
status
reservoir
(using
support
chemical
parameters).
results
showed
biological
oxygen
demand
values
above
maximum
stipulated
an
excellent
all
sampling
periods
except
April
2018
December
2020
(with
highest
10
mg
L−1
O2
dry
periods).
Most
total
nitrogen
concentrations
(TN)
surpassed
those
good
(0.96
≤
TN
2.44
N).
fact,
suspended
solids
were
parameters
used
classification.
From
perspective
according
FAO
guidelines
regarding
infiltration
rate,
these
waters
presented
light
moderate
levels
restrictions.
Thus,
revealed
that
its
impact
on
soil
rate
can
be
related,
part,
meteorological
conditions
intensive
agricultural
developed
around
drainage
basin.
that,
as
Lage
part
Brinches–Enxoé
hydraulic
circuit,
recirculation
also
important
factor
may
have
affected
obtained.
Furthermore,
experimental
design,
integrating
status,
parameters,
systems;
using
same
from
different
perspectives;
allowed
us
global
idea
contamination
agroecosystems,
improving
river
basin
processes.
Water,
Journal Year:
2020,
Volume and Issue:
12(12), P. 3569 - 3569
Published: Dec. 19, 2020
Salinization
and
sodification
are
important
processes
of
soil
degradation
affecting
irrigated
lands.
A
large
proportion
the
global
area
is
affected
by
some
degree
salinity
or
sodicity
caused
intensification
irrigation.
The
increase
frequency
adverse
climatic
conditions,
like
high
temperatures
variations
in
precipitation
patterns
climate
change,
will
potentially
amplify
these
arid,
semi-arid,
Mediterranean
areas.
use
integrated
approaches
for
spatial
temporal
prediction
risk
salinization
areas
great
value,
helping
decision-making
regarding
land
uses
choice
more
suitable
agricultural
practices.
In
this
study,
based
on
key
criteria
assessment
irrigation-related
(e.g.,
climate,
topography,
drainage,
water
quality
irrigation,
crop
irrigation
method),
we
developed
a
methodology
lands,
using
two
composite
indices,
Risk
(RSA)
index
Sodification
(RSO)
index.
application
indices
to
real
scenario
(a
Southern
Portugal)
showed
that
67%
presented
low
development,
68%
had
moderate
sodification,
16%
was
development.
Areas
under
(26%)
were
mostly
characterized
slopes
fine-textured
soils,
Luvisols
Vertisols,
with
limited
drainage
conditions.
incidence
slope
terrain,
moderate-to-restricted
clay
content
Luvisols,
Vertisols
Cambisols,
dominated
annual
crops
surface
sprinkler
systems.
These
tools
have
potential
be
used
resource
planning
policymakers
on-farm
management
decision
farmers,
contributing
sustainability
agriculture
regions.
Water,
Journal Year:
2025,
Volume and Issue:
17(3), P. 410 - 410
Published: Feb. 1, 2025
Alluvial
aquifers
are
vital
for
agricultural
communities
in
semiarid
regions,
where
groundwater
quality
is
often
constrained
by
seasonal
and
spatial
salinity
variations.
This
study
employed
geostatistical
methods
to
analyze
the
temporal
variability
of
electrical
conductivity
(EC)
sodium
adsorption
ratio
(SAR)
elaborate
an
indicative
map
Mimoso
Aquifer,
Pernambuco,
Brazil.
Groundwater
samples
were
collected
analyzed
cations,
total
hardness
(TH),
percentage
(PS).
Moreover,
relation
between
EC
SAR
was
used
determine
irrigation.
Cation
concentrations
followed
order
Ca2+
>
Mg2+
Na+
K+.
exhibited
medium
high
variability,
with
dependence
ranging
from
moderate
strong,
presented
a
strong
cross-spatial
dependence.
Results
showed
that
sequential
Gaussian
simulation
(SGS)
provided
more
reliable
classification
purposes
compared
kriging
methods,
enabling
rigorous
evaluation.
Based
on
cross
correlation
RAS,
novel
water
index
proposed,
properly
identifying
regions
lower
quality.
The
resulting
indicator
maps
classified
as
suitable
(64.7%),
restricted
use
(2.08%)
unsuitable
(2.38%)
indicated
mostly
agriculture,
except
silty
areas,
also
corresponding
low
hydraulic
at
saturated
zone.
Soil
texture,
rainfall,
extraction
significantly
influenced
patterns
Such
correlations
allow
better
understanding
alluvial
valleys,
being
highly
relevant
resources
management
areas.
Hydrological Processes,
Journal Year:
2021,
Volume and Issue:
35(12)
Published: Oct. 30, 2021
Abstract
For
effective
water
quality
management
and
policy
development,
spatial
variability
in
the
mean
concentrations
dynamics
of
riverine
needs
to
be
understood.
Using
chemistry
(calcium,
electrical
conductivity,
nitrate‐nitrite,
soluble
reactive
phosphorus,
total
nitrogen,
phosphorus
suspended
solids)
data
for
up
578
locations
across
Australian
continent,
we
assessed
impact
climate
zones
(arid,
Mediterranean,
temperate,
subtropical,
tropical)
on
(i)
inter‐annual
concentration
(ii)
as
represented
by
constituent
export
regimes
(ratio
coefficients
variation
discharge)
patterns
(slope
concentration‐discharge
relationship).
We
found
that
vary
significantly
generally
exceeds
temporal
variability.
However,
are
consistent
zones.
This
suggests
intrinsic
properties
individual
constituents
rather
than
catchment
determine
patterns.
The
spatially
highlights
potential
predict
which
can
support
national
development.
