|
Akubue, C. O.
Department of Agricultural and Biosystem Engineering, Michael Okpara University of Agriculture, Umudike Nigeria
Ahaneku, I. E.
Department of Agricultural and Biosystem Engineering, Michael Okpara University of Agriculture, Umudike Nigeria
Oduma, O.
Department of Agricultural and Biosystem Engineering, Michael Okpara University of Agriculture, Umudike Nigeria
Emeka-chris, C. C.
Department of Agricultural and Biosystem Engineering, Michael Okpara University of Agriculture, Umudike Nigeria
Ehiomogue, P.
Department of Agricultural Engineering, University of Benin, Nigeria
ABSTRACT
Small
watersheds generate the flash floods and localized inundation that account for
a disproportionate share of global flood damage, yet most remain ungauged and
structurally uncharacterized, particularly across the developing world. Digital
Elevation Models (DEMs) coupled with Geographic Information System (GIS) tools
have become the standard means of delineating such watersheds and quantifying
their morphometric properties without recourse to extensive field survey. This
review systematically synthesizes sixteen primary peer-reviewed studies —
twelve regional case studies of small, flood-prone watersheds spanning Asia,
Africa, the Middle East, Europe and the Americas, and four methodological,
DEM-comparison and review studies — that combine DEM and GIS techniques to
delineate small watersheds and compute their linear, areal and relief
morphometric parameters. The generalized DEM-to-parameter workflow is traced
from data acquisition through stream ordering to flood-susceptibility
prioritization, and the vertical accuracy and resolution trade-offs of commonly
used open-access DEMs (SRTM, ASTER, Cartosat, ALOS PALSAR, and the Copernicus
Global Land Operations DEM, GLO-30) are compared. The review further
synthesizes how bifurcation ratio, drainage density, form factor, circularity
ratio, relief ratio, and compound-factor or analytic-hierarchy-process-based
prioritization schemes are applied worldwide to flag flood-prone
sub-watersheds. Persistent gaps include inconsistent DEM-resolution selection
for small basins, limited field validation, and the absence of a universally
agreed classification of parameter values. It is accordingly recommended that
small, headwater-dominated basins be characterized using sub-15 m DEMs (e.g.,
ALOS PALSAR/AW3D, Cartosat, LiDAR or IfSAR) where feasible, and that
DEM-derived boundaries and susceptibility rankings be validated against field-
or community-reported flood data.
Keywords: Digital Elevation Model; Geographic Information System; morphometric analysis; small watershed; flood susceptibility; flash flood.
https://doi.org/10.33922/j.ujet_v12i2_10
|
View: 4 | Download: 0
Published
Sunday, May 03, 2026
Issue
Vol. 12, No. 2, June 2026
Article Section
GENERAL
|