Structural
mapping in Rwanda — and Western Province specifically, despite its position
within the tectonically active western branch of the Albertine Rift — remains
constrained by limited access to detailed, publicly available geological and
fault maps. Conventional structural interpretation relies heavily on
lithological control, which is often unavailable, outdated, or proprietary in
data-scarce settings. This creates a gap for reconnaissance-level structural
assessment in contexts where open elevation data exist but licensed geological
data do not — a gap directly relevant to exploration screening, geohazard
assessment, and infrastructure siting in the region.
The central
problem addressed by this study is therefore not simply the absence of a fault
map, but the absence of a reproducible procedure for distinguishing persistent,
geologically plausible morpholineaments from non-tectonic or processing-related
linear features derived from open elevation data.
Many DEM-based
lineament studies present extraction results without adequately quantifying the
sensitivity of results to DEM source and resolution, hillshade illumination
direction, edge-detection parameters, the contribution of drainage and
topographic grain, the possibility of anthropogenic and vegetation-related
artefacts, and the uncertainty associated with interpreting a topographic
lineament as a geological structure. This study improves on a simple extraction
exercise by assessing the reproducibility and relative confidence of the mapped
features.
To develop and
evaluate a reproducible open-data workflow for mapping and ranking DEM-derived
morpholineaments in Western Province, Rwanda, using geomorphometric,
hydrological, seismic, geological, and land-cover evidence.
Can digital
elevation-derived lineaments be assigned meaningful structural confidence — in
the absence of a lithological or licensed fault map — through cross-validation
against independent, freely available datasets (seismicity, global active fault
compilations, drainage network anomalies) and existing field geophysical data?
A secondary, more
specific question: do the dominant lineament orientations extracted from the
DEM in Western Province align with the structural trends reported in the
literature for the Kibaran Belt fabric and the Albertine Rift's western branch?
● 1. Derive a full geomorphometric
parameter stack (slope, curvature, TRI, TPI, hydrology) for Western Province
from open DEM data.
● 2. Extract DEM-based lineaments and
characterize their orientation distribution (rose diagram, length-weighted).
● 3. Independently validate extracted
lineaments using open seismicity records, the GEM Global Active Faults
Database, and drainage-pattern anomalies (elbow bends, offsets).
● 4. Compare observed lineament
orientations against published regional tectonic trends.
● 5. Synthesize results at district/sector
level within Western Province to produce a reconnaissance-level structural
indicator map, explicitly stating its limitations relative to field-verified
geological mapping.
The orientation,
density, and spatial distribution of DEM-derived morpholineaments do not differ
significantly from patterns expected from terrain geometry, drainage,
anthropogenic features, and random spatial processes.
A subset of
DEM-derived morpholineaments is persistent across independent data and
processing methods and shows statistically or geomorphologically meaningful
association with regional structural trends, drainage anomalies, seismicity, or
mapped active faults.
The study is
limited to Western Province, Rwanda, comprising seven districts: Karongi,
Ngororero, Nyabihu, Nyamasheke, Rubavu, Rusizi, and Rutsiro. Western Province
was selected because it includes the Lake Kivu sector of the western branch of
the East African Rift, rugged mountainous terrain, strong relief contrasts, and
dense drainage — conditions well suited to investigating the relationship
between topography, drainage, and possible structural control.
The project uses
only openly available or already-held datasets and does not require licensed
fault or lithology shapefiles. The study is limited to reconnaissance-level
interpretation and does not attempt to produce a definitive geological fault
map or replace field-based geological mapping. Field geophysical data (HVSR)
already collected along the Vunga corridor are noted as a source of potential
future cross-validation but are not incorporated into this version of the
study.
Short-form writing published directly from the editor. Raw, honest, and unpolished on purpose.
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