SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Evaluation of multi- and many-objective optimization techniques to improve the performance of a hydrologic model using evapotranspiration remote-sensing data 
Authors:Herman, M.R., J.S. Hernandez-Suarez, A.P. Nejadhashemi, I. Kropp and A.M. Sadeghi 
Journal:Journal of Hydraulic Engineering 
Volume (Issue):25(4) 
Article ID:04020006 
URL (non-DOI journals): 
Broad Application Category:hydrologic only 
Primary Application Category:evapotranspiration assessment 
Secondary Application Category:calibration, sensitivity, and/or uncertainty analysis 
Watershed Description:1,100 km^2 Honeyoey Creek-Pine Creek, a tributary of the Saginaw River located in the central part of the lower peninsula of Michigan, U.S. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:In this study, we explore the use of different multi- and many-objective calibration approaches in hydrological modeling when considering both observed streamflow and remotely sensed actual evapotranspiration (ETa). Eight remotely sensed ETa and an Ensemble products were used in a watershed in Michigan. Regarding the calibration process, the Unified-Non-dominated Sorting Genetic Algorithm III was integrated with the soil and water assessment tool (SWAT). The first nine calibrations used a multi-objective approach with two variables, one being streamflow and the other being a remotely sensed ETa products/Ensemble. The tenth calibration was a many-objective calibration with nine objective functions that represented observed streamflow and all eight of the remotely sensed evapotranspiration datasets. Results showed that the multi-objective calibrations were able to successfully calibrate both streamflow and ETa. However, the highest model performances were achieved using the Ensemble ETa product. Meanwhile, the required computational time for the many-objective calibration is significantly higher than the multi-objective calibration. In addition, the overall performance of many-objective method can be improved by considering weighting factors and constraining the search space 
Keywords:Actual evapotranspiration; Unified non-dominated sorting genetic algorithm III (U-NSGA-III); Ensemble; Hydrological model; Soil and water assessment tool (SWAT)