%0 Journal Article
%T Hydrological Modeling of Upper OumErRabia Basin (Morocco), Comparative Study of the Event-Based and Continuous-Process HEC-HMS Model Methods
%A Mohamed Msaddek
%A George Kimbowa
%A Abdelkader El Garouani
%J Computational Water, Energy, and Environmental Engineering
%P 159-184
%@ 2168-1570
%D 2020
%I Scientific Research Publishing
%R 10.4236/cweee.2020.94011
%X Human population growth and land-use changes raise demand
and competition for water resources. The Upper OumErRabia River Basin is
experiencing high rangeland and matorral conversion to irrigated agricultural
land expansion. Given Morocco¡¯s per capita water availability, River-basin
hydrologic </span><span style=\"font-family:Verdana;\">modelling</span><span style=\"font-family:Verdana;\"> could potentially
bring together agricultural, water resources </span><span style=\"font-family:Verdana;\">and</span><span style=\"font-family:Verdana;\"> conservation objectives. However, not everywhere have hydrological models
considered events and continuous assessment of climatic data. In this study,
HEC-HMS </span><span style=\"font-family:Verdana;\">modelling</span><span style=\"font-family:Verdana;\"> approach is used to explore
the event-based and continuous-process simulation of land-use and </span><span style=\"font-family:Verdana;\">land cover</span><span style=\"font-family:Verdana;\"> change (LULCC) impact on water
balance. The use of HEC-GeoHMS facilitated the digital data processing for
coupling with the model. The basin¡¯s physical characteristics and the
hydro-climatic data helped to generate a geospatial database for </span><span style=\"font-family:Verdana;\">HEC-HMS</span><span style=\"font-family:Verdana;\"> model. We analyzed baseline and future
scenario changes for the 1980-2016 period using the SCS Curve-Number and the
Soil Moisture Accounting (SMA) loss methods. SMA was coupled with the
Hargreaves evapotranspiration method. Model calibration focused on reproducing
observed basin runoff hydrograph. To evaluate the model performance for both
calibration and validation</span></span><span style=\"font-family:Verdana;\">, </span><span style=\"font-family:&quot;\"><span style=\"font-family:Verdana;\">the Coefficient of determination (R</span><sup><span style=\"font-family:Verdana;\">2</span></sup><span style=\"font-family:Verdana;\">), Nash-Sutcliffe
efficiency (NSE), Root Mean Square Error (RSR) </span><span style=\"font-family:Verdana;\">and</span><span style=\"font-family:Verdana;\"> Percent Bias (PBIAS) criteria were exploited. The average calibration NSE
values were</span></span><span style=\"font-family:&quot;\"> </span><span style=\"font-family:&quot;\"><span style=\"font-family:Verdana;\">0.740
and 0.585 for event-based (daily) and continuous-process (annual) respectively.
The R</span><sup><span style=\"font-family:Verdana;\">2</span></sup><span style=\"font-family:Verdana;\">, RSR </span><span style=\"font-family:Verdana;\">and</span><span
%K HEC-HMS Model
%K Land-Use and Land Cover Change
%K Soil Moisture Accounting (SMA)
%K Upper OumErRabia Watershed
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=103544