| Title: | A generic system dynamics model for simulating and evalutating the hydrological performance of reconstructed watersheds |
| Authors: | Keshta, N., A. Elshorbagy and S. Carey |
| Year: | 2009 |
| Journal: | Hydrology and Earth System Sciences |
| Volume (Issue): | 13 |
| Pages: | 865-881 |
| Article ID: | |
| DOI: | |
| URL (non-DOI journals): | http://www.hydrol-earth-syst-sci.net/13/865/2009/hess-13-865-2009.html |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | model and/or data comparison |
| Secondary Application Category: | hydrologic assessment |
| Watershed Description: | Reconstructed watersheds in northern Alberta that cover a total area of approximately 2 km^2 |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | This study also reports some comparisons between the GSDW model and SWAT. |
| Abstract: | A generic system dynamics watershed (GSDW)
model is developed and applied to five reconstructed watersheds
located in the Athabasca mining basin, Alberta,
Canada, and one natural watershed (boreal forest) located
in Saskatchewan, Canada, to simulate various hydrological
processes in reconstructed and natural watersheds. This paper
uses the root mean square error (RMSE), the mean absolute
relative error (MARE), and the correlation coefficient
(R) as the main performance indicators, in addition to the
visual comparison. For the South Bison Hills (SBH), South
West Sand Storage (SWSS) and Old Aspen (OA) simulated
soil moisture, the RMSE values ranges between 2.5–4.8 mm,
and the MARE ranges from 7% to 18%, except for the D2-
cover it was 26% for the validation year. The R statistics
ranges from 0.3 to 0.77 during the validation period. The
error between the measured and simulated cumulative actual
evapotranspiration (AET) flux for the SWSS, SBH, and the
OA sites were 2%, 5%, and 8%, respectively. The developed
GSDW model enables the investigation of the utility of different
soil cover designs and evaluation of their performance.
The model is capable of capturing the dynamics of water balance
components, and may used to conduct short- and longterm
predictions under different climate scenarios. |
| Language: | English |
| Keywords: | |