SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Computational procedure for evaluating sampling techniques on watershed model calibration 
Authors:Yen, H., J. Jeong, W-H. Tseng, M-K. Kim, R. M. Records, M. Arabi 
Journal:Journal of Hydrologic Engineering 
Volume (Issue):20(7) 
Article ID: 
URL (non-DOI journals): 
Broad Application Category:hydrologic and pollutant 
Primary Application Category:computational efficiency 
Secondary Application Category:nitrogen cycling/loss and transport 
Watershed Description:248 km^2 Eagle Creek, a tributary of the White River located in central Indiana, U.S. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:A variety of computational techniques have been developed to efficiently and effectively draw realizations from the parameter space of watershed models for parameter estimation. However, to date, it has not been clearly understood how these techniques should be evaluated side by side. The main goal of this study is to develop and demonstrate a computational procedure for evaluating parameter sampling techniques. The analysis hinges on the evaluation of (1) efficiency in minimizing objective functions at the lowest required realizations; (2) effectiveness in drawing samples that adequately represent watershed characteristics based on automatic calibration results, and (3) effectiveness in enhancing the identifiability of the effective parameter space. The proposed procedure was applied to evaluate the performance of six commonly implemented sampling techniques for multisite, multiresponse parameter estimation of a river basin scale model in the Eagle Creek Watershed, Indiana, in the Midwestern United States. Results show that a particular technique surpassed all other methods in convergence speed and behavioral statistics. In addition, solutions derived using that technique were distributed closely in relatively small regions of the whole domain space, which enhanced the efficiency of the parameter search process. 
Keywords:Optimization; Model evaluation; Behavior definition; Tree structured density estimation (TSDE)