| Title: | On the use of multi-algorithm, genetically adaptive multi-objective method for multi-site calibration of the SWAT model |
| Authors: | Zhang, X., R. Srinivasan and M. Van Liew |
| Year: | 2010 |
| Journal: | Hydrological Processes |
| Volume (Issue): | 24(15) |
| Pages: | 955-969 |
| Article ID: | |
| DOI: | 10.1002/hyp.7528 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | computational approaches |
| Primary Application Category: | multi-site calibration or testing approach |
| Secondary Application Category: | computational efficiency |
| Watershed Description: | 114,345 km^2 Yellow River Headwaters, 7 km^2 Mahantango Creek Experimental, 239 km^2 Reynolds Creek Experimental and 334 km^2 Little River Experimental Watershed which are located respectively in west central China, central Pennsylvania, U.S., southwest Idaho, U.S. and southwest Georgia, U.S. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | distributed hydrologic model; multi-method search; multi-objective optimization; multi-site calibration; soil and water assessment tool |