Research Repository

Sensitivity analysis of SWAT model in the Yarra River catchment

Das, S. K, Ng, A. W. M and Perera, B. J. C (2013) Sensitivity analysis of SWAT model in the Yarra River catchment. In: 20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013. Piantadosi, J, Anderssen, R. S and Boland, J, eds. Modelling and Simulation Society of Australia and New Zealand, Canberra, ACT, pp. 1666-1672.

Full text for this resource is not available from the Research Repository.

Abstract

Catchment-scale hydrologic and diffuse source pollution models simulating a catchment are useful analysis tools to understand problems and find solutions through simulation of BMPs for particular catchment and agronomic settings. However, developing reliable catchment model and validating them on real-world catchment with monitored data is challenging. In this regard, model calibration and uncertainty analysis help to evaluate the ability of the model to sufficiently predict streamflow and constituent yields for specific applications. Complex physics-based distributed models contain many parameters that can complicate calibration process. In addition, the model when includes multi-variable at multi-site with multiobjective functions introduces more complexity to the calibration process. Over-parameterization is a wellknown problem in such distributed model. Sensitivity analysis methods reducing the number of parameters to be adjusted during calibration are important for simplifying the use of these models. The objective of this paper is to perform a sensitivity analysis for multiple variables (streamflow, sediment and nutrients) at three sites on a SWAT model developed in the agricultural part of the Yarra River catchment, Victoria (Australia) so that the model can be calibrated efficiently for water quality analysis purposes.

Item Type: Book Section
ISBN: 9780987214331
Uncontrolled Keywords: sensitivity analysis, SWAT, Latin-Hypercube and One-factor-At-a-Time (LH-OAT) sampling, Yarra River catchment, Australia
Subjects: FOR Classification > 0502 Environmental Science and Management
FOR Classification > 0907 Environmental Engineering
Faculty/School/Research Centre/Department > College of Science and Engineering
Related URLs:
Depositing User: VUIR
Date Deposited: 03 Jun 2014 02:09
Last Modified: 03 Jun 2014 02:09
URI: http://vuir.vu.edu.au/id/eprint/25263
ePrint Statistics: View download statistics for this item

Repository staff only

View Item View Item

Search Google Scholar