Title: | Disentangling the contributions of climate and basin characteristics to water yield across spatial and temporal scales in the Yangtze River Basin: A combined hydrological model and boosted regression approach |
Authors: | Sun, F., A. Mejia and Y. Che |
Year: | 2019 |
Journal: | Water Resources Management |
Volume (Issue): | 33 |
Pages: | 3449-3468 |
Article ID: | |
DOI: | 10.1007/s11269-019-02310-y |
URL (non-DOI journals): | |
Model: | SWAT |
Broad Application Category: | hydrologic only |
Primary Application Category: | calibration, sensitivity, and/or uncertainty analysis |
Secondary Application Category: | hydrologic assessment |
Watershed Description: | 1.8 million km^2 Yangtze River, which drains much of central and southern China. |
Calibration Summary: | |
Validation Summary: | |
General Comments: | |
Language: | English |
Keywords: | Boosted regression tree (BRT); Soil and water assessment tool (SWAT); Spatial and temporal scales; Water yield; Yangtze River Basin |