Modelling discharge from a coastal watershed in southeast Sweden using an integrated framework
Article first published online: 23 JUL 2010
Copyright © 2010 John Wiley & Sons, Ltd.
Volume 24, Issue 26, pages 3837–3851, 30 December 2010
How to Cite
Salazar, O., Joel, A., Wesström, I., Linnér, H. and Skaggs, R. W. (2010), Modelling discharge from a coastal watershed in southeast Sweden using an integrated framework. Hydrol. Process., 24: 3837–3851. doi: 10.1002/hyp.7815
- Issue published online: 10 DEC 2010
- Article first published online: 23 JUL 2010
- Manuscript Accepted: 14 JUN 2010
- Manuscript Received: 10 FEB 2009
- Swedish Farmers' Foundation for Agricultural Research (SLF)
- Arc Hydro;
The field hydrology model DRAINMOD integrated with Arc Hydro in geographical information system (GIS) framework (Arc Hydro–DRAINMOD) was used to simulate the hydrological response of a coastal watershed in southeast Sweden. Arc Hydro–DRAINMOD uses a distributed approach to route water from each field edge to the watershed outlet. In the framework the Arc Hydro data model was used to describe the stream network in the watershed and to connect the individual simulated DRAINMOD-field outflow time series from each plot using Arc Hydro schema-links features, which were summed at Arc Hydro schema-nodes features along the stream network to generate the stream network flow. Hydrology data collected during six periods between 2003 and 2008 were used to test Arc Hydro–DRAINMOD and its performance was evaluated by considering uncertainties in model inputs using generalized likelihood uncertainty estimation (GLUE). The GLUE estimates obtained (uncertainty bands 5% and 95%) agreed satisfactorily with measured monthly discharges. The percentage of time in which the observed discharges were bracketed by the uncertainty bands was 88% in calibration periods and 75% in validation periods. Although monthly time step simulations showed good agreement with observed discharges during the two main discharge events in spring, the contradictory daily time step results indicate that the watershed response simulations on a daily basis need to be improved. The uncertainty analysis showed that in periods of higher discharge, such as spring periods, the uncertainty in prediction was higher. It is important to note that these uncertainty estimations using the GLUE procedure include the uncertainties in measured discharge values, model inputs, boundary conditions and model structures. It was estimated that stream baseflow represented 42% of the total watershed discharge, but further research is needed to confirm this. These results show that the new Arc Hydro–DRAINMOD framework is applicable for predicting discharge from artificially drained watersheds in southeast Sweden. Copyright © 2010 John Wiley & Sons, Ltd.