Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Effect of Model Structure and Calibration Algorithm on Discharge Simulation

Version 1 : Received: 29 November 2022 / Approved: 30 November 2022 / Online: 30 November 2022 (03:35:08 CET)

A peer-reviewed article of this Preprint also exists.

Alp, H.; Demirel, M.C.; Aşıkoğlu, Ö.L. Effect of Model Structure and Calibration Algorithm on Discharge Simulation in the Acısu Basin, Turkey. Climate 2022, 10, 196. Alp, H.; Demirel, M.C.; Aşıkoğlu, Ö.L. Effect of Model Structure and Calibration Algorithm on Discharge Simulation in the Acısu Basin, Turkey. Climate 2022, 10, 196.

Abstract

In this study, Acısu Basin, which is upper side of one of the most important basins (Gediz) in Türkiye, was modelled using three types of hydrological models and three different calibration algorithms. Lumped (GR4J), semi-distributed (SWAT+), and fully distributed (mHM) hydrological models were built and integrated with Parameter Estimation Tool (PEST) which is a model independent calibration tool including various algorithms. Levenberg Marquardt (L-M), Shuffled Complex Evolution (SCE), and Covariance Matrix Adoption Evolution Strategy (CMA-ES) were selected as calibration algorithms. Calibration period was 1991-2000, and validation results were obtained for 2002-2005. The effect of model structure and calibration algorithm selection on discharge simulation was evaluated via comparison of 9 different model-algorithm combinations. Results have shown that mHM and CMA-ES combination showed the best discharge simulation performance according to NSE values (calibration: 0.67, validation: 0.60). Although statistically the model results were classified as acceptable, the pattern comparison of discharge value shows that all of the models miss the peak values in significant amounts. This problem may be related to the interventions made in 2000-2001 years interval and possible to overcome by changing the calibration and validation periods, increasing the number of iterations or using the naturalized gauge data.

Keywords

Hydrological Modelling, Calibration Algorithm, GR4J, SWAT+; mHM

Subject

Engineering, Civil Engineering

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.