Flood Modelling Of Upper Gurara Watershed
Using Remote Sensing Data And The Geospatial
Streamflow Model
Author(s)
O. A. Agunbiade & O. D. Jimoh
Abstract
This study evaluates the use of Remote Sensing (RS) and Geographic
Information System (GIS) technologies to augment the conventional methods
used in watershed-scale hydrological modelling and rainfall-runoff studies in the
Upper Gurara watershed in Northern Nigeria. Streamflow at the catchment outlet
was simulated within a GIS environment at a daily time-step from the year 2001
to 2010, using freely available RS datasets and a physically based, semidistributed
hydrological model (GeoSFM). Two procedures were available in the
model for estimation of the contribution of soil moisture to streamflow
generation: the Nonlinear Soil Moisture Accounting (NSMA), and the Linear
Soil Moisture Accounting (LSMA) routines. Model performance was evaluated
by comparing the monthly averaged simulated flows with the available observed
historical data for 19 years (1971–1989). It was observed that both methods
adequately estimated the peak flow occurrence and value when compared with
the historically observed data. The log-transformed coefficient of determination
(R2) between the observed and simulated flow was 0.96 and 0.68 for NSMA and
LSMA respectively. It was concluded that the model and datasets performed
satisfactorily in simulating the peak discharge in the basin but was inadequate in
simulating the rising limb of the hydrograph and the total volume of flow at the
catchment outlet.
Keywords: flood modelling, remote sensing, geographic information system,
ungauged catchment, soil moisture accounting, data scarce locations.
Keywords
Keywords: flood modelling, remote sensing, geographic information system,
ungauged catchment, soil moisture accounting, data scarce locations.
Related Book
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