A comprehensive review of flood monitoring and evaluation in Nigeria
International Journal of Energy and Water Resources,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 8, 2025
Language: Английский
Assessing the impact of climate change on flood patterns in downstream Nigeria using machine learning and geospatial techniques (2018-2024)
Desmond Rowland Eteh,
No information about this author
Bunakiye R. Japheth,
No information about this author
Charles Ugochukwu Akajiaku
No information about this author
et al.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 18, 2025
Abstract
Climate
change
has
increased
flood
risks
in
downstream
Nigeria,
driven
by
altered
hydrology,
dam
operations,
and
land-use
changes
threatening
infrastructure,
livelihoods,
ecosystem
stability
with
growing
frequency
severity.
This
study
analyzes
patterns,
identifies
key
environmental
drivers,
predicts
flood-prone
areas
through
an
integrated
machine
learning
geospatial
analysis
approach.
Data
sources
included
Synthetic
Aperture
Radar
(SAR)
imagery
from
Sentinel-1,
rainfall
measurements,
Shuttle
Topography
Mission
(SRTM)
elevation
data,
surface
water
level
records.
Machine
models
Random
Forest
(RF),
Support
Vector
(SVM),
Artificial
Neural
Network
(ANN)
were
applied
using
tools
such
as
Google
Earth
Engine
ArcGIS
10.5
to
assess
dynamics
2018
2024.
Downstream
regions
(elevation:
78–235.1
m)
exhibited
greater
susceptibility
than
upstream
(up
1399.43
m).
Flood
extents
rose
10.9%
August
(from
2441.91
km²
2707.75
2024)
39.8%
October
3083.44
4311.55
km²).
The
RF
model
achieved
the
highest
accuracy
(92%),
outperforming
SVM
(88%)
ANN
(85%).
Inundated
20–35%
of
zones.
Rainfall
intensity
15–20%,
annual
totals
exceeding
4311
mm
some
areas.
cover
declined
further
exacerbating
risks.
findings
demonstrate
that
climate
change,
alteration,
operations
are
major
contributors
flooding.
Mitigation
strategies
include
10–15%
reforestation,
embankment
construction,
learning–driven
early
warning
systems,
which
can
reduce
damage
up
30%.
These
approaches
support
sustainable
risk
management
Nigeria.
Language: Английский
Evaluating the Impact of the Spatial Resolution of Digital Elevation Models on Flood Modelling
Water Resources Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 23, 2025
Language: Английский