SWAT Literature Database for Peer-Reviewed Journal Articles

Title:
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Computational Procedure for Evaluating Sampling Techniques on Watershed Model Calibration 
Authors:
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Yen, H., J. Jeong, W-H. Tseng, M-K. Kim, R. M. Records, M. Arabi 
Year:2015 
Journal:Journal of Hydrologic Engineering 
Volume:20(7) 
Pages: 
Article ID: 
DOI:10.1061/(ASCE)HE.1943-5584.0001095 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:computational approaches 
Primary Application Category:hydrologic assessment 
Secondary Application Category:nutrient cycling and transport 
Watershed Description:
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248 km^2 Eagle Creek Watershed, a tributary of the White River, located in central Indiana, U.S. 
Calibration Summary:
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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 CreekWatershed, 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. 
Language:English 
Keywords:Optimization; Model evaluation; Behavior definition; Tree structured density estimation (TSDE)