Bacterial Composition of Soils in the Fatala River Basin (Guinea) during the Dry Season: An Examination of its Relationship with Ecological Landscape Characteristics
D. A. Ignateva,
No information about this author
Tatiana Gorbunova,
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I. Keita
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et al.
South of Russia ecology development,
Journal Year:
2025,
Volume and Issue:
19(4), P. 110 - 130
Published: Jan. 22, 2025
This
paper
examines
the
bacterial
composition
of
soils
in
Fatala
River
basin,
Republic
Guinea.This
work
is
based
on
molecular
genetic
analysis.The
research
findings
indicate
that
most
prevalent
phyla
are
Proteobacteria
,
Firmicutes
Actinobacteria
and
Acidobacteria
.
Notable
dominant
species
include
Candidatus
Koribacter
versatilis
Solibacter
usitatus
In
facies
11,
particularly
a
bauxite
mining
zone,
there
an
increase
cyanobacteria,
potentially
due
to
their
capacity
enrich
soil
fertility.
Alpha
diversity
peaks
10,
12,
17
18
bottoms
out
7.
The
decline
alpha
7
might
be
attributed
plankomycetes,
which
produce
antimicrobial
substances
outcompete
other
species.
When
examining
beta
diversity,
12
show
highest
similarity,
while
3,
5,
exhibit
significant
differences
compared
all
points
analysed.The
identification
prevailing
phylum
species,
along
with
specific
taxa
exhibiting
increases
or
decreases
biodiversity,
crucial
first
step
characterising
microbial
communities
found
natural
environments
studied.
methodology
established
can
employed
environmental
surveillance
evaluation
health
diverse
types.
Language: Английский
Delineation and Morphometric Characterization of Small- and Medium-Sized Caspian Sea Basin River Catchments Using Remote Sensing and GISs
Water,
Journal Year:
2025,
Volume and Issue:
17(5), P. 679 - 679
Published: Feb. 26, 2025
This
investigation
endeavors
to
demarcate
the
boundaries
of
small-
and
medium-sized
river
catchments
within
Caspian
Sea
drainage
basin,
with
a
specific
focus
on
Northeastern
Caucasus,
Azerbaijan,
Iran
regions.
A
multi-faceted
approach
was
employed,
incorporating
various
remote
sensing
methods
select
key
areas,
including
Sunzha,
Sulak,
Ulluchay,
Karachay,
Atachay,
Haraz,
Gorgan
rivers.
Subsequently,
geoinformation
systems
(GISs)
topographic
maps
were
utilized
determine
morphometric
characteristics
these
catchments,
accompanied
by
an
assessment
accuracy
data.
The
aim
this
study
is
evaluate
suitability
digital
elevation
models
(DEMs)
spatial
resolution
30
m
per
pixel
(including
ASTER
DEM,
ALOS
NASADEM,
Copernicus
SRTM
DEM)
90
(Copernicus
DEM
for
delineating
basin
catchments.
For
DEMs
that
successfully
accurately
delineated
watershed
boundaries,
basins
calculated.
research
has
yielded
novel
findings
regarding
(area,
perimeter,
ruggedness
catchment
line
(roundness
coefficient),
maximum
height,
minimum
average
height
slope
surface,
length
main
watercourse,
shape
parameter
(catchment
elongation
coefficient,
slope,
width
basin)
individual
mountainous
rivers
in
Iran,
aforementioned
serving
as
exemplars.
practical
significance
results
lies
fact
such
detailed
have
been
obtained
first
time,
their
clarified
(burned
out
according
DEMs),
which
can
serve
basis
decision-making
processes
contribute
development
operational
environmental
monitoring
state
Language: Английский
Heavy Metals in Soils of the Fatala River Basin (Republic of Guinea)
Tatiana Gorbunova,
No information about this author
Roman Gorbunov,
No information about this author
Abdoulaye Ibrahima Camara
No information about this author
et al.
Revista de Gestão Social e Ambiental,
Journal Year:
2024,
Volume and Issue:
18(9), P. e08309 - e08309
Published: Aug. 29, 2024
Objectives:
The
objectives
of
this
research
include
assessing
the
concentrations
heavy
metals
and
trace
elements
in
Fatala
River
basin
(Republic
Guinea),
identifying
primary
sources
these
pollutants,
analyzing
their
migration
patterns,
evaluating
ecological
health
impacts,
contributing
to
development
effective
pollution
mitigation
strategies.
theoretical
framework
is
grounded
understanding
anthropogenic
impact
on
soil,
role
soil
as
a
natural
filter,
associated
risks,
application
Geographic
Information
Systems
(GIS)
for
detailed
analysis.
Theoretical
Framework:
Pollution
from
presents
significant
threat
environmental
health,
situation
that
has
been
exacerbated
with
expansion
mining
industrial
activities.
Despite
advancements
technology
aimed
at
reducing
contamination,
many
regions,
particularly
developing
countries,
continue
experience
unchecked
due
lack
safeguards.
This
study
focuses
Republic
Guinea,
region
heavily
impacted
by
extensive
activities
growth
population
settlements,
which
have
led
accumulation
soil.
Methods:
In
analysis
samples
collected
river
basin,
determination
metal
element
content
was
performed
using
an
inductively
coupled
plasma
mass
spectrometer,
specifically
PlasmaQuant
MS
Elite
S-NR:11-6000ST043
instrument.
spatial
distribution
within
mapped
ArcGIS
10.8
software.To
create
comprehensive
representation
distribution,
mathematical
interpolation
values
carried
out
Interpolation
tool
(Spatial
Analyst
Tools)
10.8.
inverse
distance
weighted
(IDW)
technique
employed
purpose.
To
assess
extent
severity
contamination
area,
three
key
parameters
were
calculated:
hazard
coefficient
Ko,
concentration
(Kc),
total
index.
These
provide
quantitative
measure
levels
risks
region.
Results
discussion:
indicates
certain
elements,
such
silver
(Ag),
arsenic
(As),
beryllium
(Be),
cadmium
(Cd),
selenium
(Se),
significantly
exceed
regulatory
limits,
posing
serious
ecosystem
whole.
categorized
into
four
groups
based
levels,
ranging
those
acceptable
limits
exceeding
them.
Cadmium
(Cd)
highlighted
its
concentrations,
some
instances
are
14
times
above
standard
limits.
It
also
emphasizes
importance
further
studies
identify
origins
effects
basin's
ecosystem.
conclusion
strategies
reduce
harmful
including
implementation
system
regulating
measures
land
reclamation.
Implications
research:
map
index
constructed.
revealed
most
territory
belongs
moderately
dangerous
category,
characterized
increase
overall
morbidity
rate.
Originality/value:
authors
stress
conducting
additional
research,
implementing
normalizing
pollutant
detrimental
environment
public
health.
serves
valuable
contribution
implications
highlights
need
ongoing
efforts
address
issue.
Language: Английский
The Dynamics of Air Pollution in the Southwestern Part of the Caspian Sea Basin (Based on the Analysis of Sentinel-5 Satellite Data Utilizing the Google Earth Engine Cloud-Computing Platform)
Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(11), P. 1371 - 1371
Published: Nov. 14, 2024
The
Caspian
region
represents
a
complex
and
unique
system
of
terrestrial,
coastal,
aquatic
environments,
marked
by
an
exceptional
landscape
biological
diversity.
This
diversity,
however,
is
increasingly
threatened
substantial
anthropogenic
pressures.
One
notable
impact
this
human
influence
the
rising
concentration
pollutants
atypical
for
atmosphere.
Advances
in
science
technology
now
make
it
possible
to
detect
certain
atmospheric
using
remote
Earth
observation
techniques,
specifically
through
data
from
Sentinel-5
satellite,
which
provides
continuous
insights
into
contamination.
article
investigates
dynamics
pollution
southwestern
part
Sea
basin
Sentinel-5P
satellite
cloud-computing
capabilities
Google
Engine
(GEE)
platform.
study
encompasses
analysis
concentrations
seven
key
pollutants:
nitrogen
dioxide
(NO2),
formaldehyde
(HCHO),
carbon
monoxide
(CO),
ozone
(O3),
sulfur
(SO2),
methane
(CH4),
Aerosol
Index
(AI).
Spatial
temporal
variations
fields
were
examined
basins
rivers
(key
areas)
flowing
Sea:
Sunzha,
Sulak,
Ulluchay,
Karachay,
Atachay,
Haraz,
Gorgan.
research
methodology
based
on
use
SRTM
DEM
absolute
elevations,
surface
temperature
data,
population
density
data.
Data
processing
performed
platform
ArcGIS
software
suite.
main
aim
evaluate
spatiotemporal
variability
pollutant
these
regions
2018
2023
identify
primary
factors
influencing
distribution.
study’s
findings
reveal
that
Heraz
Gorgan
River
have
highest
levels,
marking
as
most
vulnerable
among
those
assessed.
Additionally,
exhibited
elevated
while
detected
Sunzha
basin.
Our
demonstrated
COVID-19
pandemic
dispersion
patterns.
correlation
identified
elevation
factor
affecting
distribution,
particularly
monoxide,
ozone,
aerosol
indices.
Population
showed
strongest
with
Other
more
distribution
patterns,
influenced
diverse
mechanisms
associated
local
emission
sources
dynamics.
Language: Английский
First data on concentrations and composition of polycyclic aromatic hydrocarbons in soil, bottom sediments and suspended matter of water throughout the whole Fatala River Basin (Republic of Guinea)
Olga Soloveva,
No information about this author
В. Ю. Проскурнин,
No information about this author
Ibrahima Keita
No information about this author
et al.
Acta Geochimica,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 18, 2024
Language: Английский
Leveraging Geoinformatics to Analyze Environmental Contamination Amidst Climate Change in the MENA Region: A Review
The handbook of environmental chemistry,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 1, 2024
Language: Английский
Identification of Anthropogenic Impact and Indicators of Landscape Transformation in the Fatala River Basin (Republic of Guinea)
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(23), P. 10319 - 10319
Published: Nov. 25, 2024
The
aim
of
this
study
is
to
identify
the
main
factors
anthropogenic
impact
and
indicators
landscape
transformation
in
Fatala
River
Basin
Republic
Guinea.
Our
fieldwork
Boke
Kindia
regions
was
source
materials
data.
ecological
situation
nine
key
plots
were
characterized.
These
make
up
a
representative
series
transformed
natural
landscapes.
We
complemented
our
with
Landsat
satellite
image
analysis.
learned
that
are
systematic
burning
vegetation,
mechanical
disturbances
soil
vegetation
cover,
depletion
fertile
topsoil,
grazing,
littering
household
waste.
deforestation,
changes
mechanically
disturbed
lands.
identified
five
stages
agro-landscape
development,
starting
from
clearing
plot
by
(stage
I)
ending
completion
agricultural
activity
its
abandonment
restore
topsoil
V).
limiting
nature
management
elevation
differences,
rapid
restoration
rocky/gravelly
substrate.
It
possible
landscapes
large
or
hard-to-reach
using
images.
Thus,
quasi-natural
can
be
based
on
lower
surface
temperature
relative
surrounding
normalized
difference
index
(NDVI)
moisture
(NDMI)
could
useful
for
identifying
pasture
within
tropical
forest
long-term
data
series.
revealed
tendency
deterioration
middle
upper
parts
Basin,
while
cover
being
restored
part
basin.
Finally,
we
propose
some
measures
rehabilitate
increase
efficiency
production
region.
Language: Английский