SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Quantitative detection and attribution of runoff variations in the Aksu River Basin 
Authors:Meng, F., T. Liu, Y. Huang, M. Luo, A. Bao and D. Hou 
Year:2016 
Journal:Water 
Volume:8(8) 
Pages: 
Article ID:338 
DOI:10.3390/w8080338 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:climate change and land use change 
Secondary Application Category:hydrologic assessment 
Watershed Description:43000 km^2 Aksu River, located in the Tianshan mountains northwest of the Tarim Basin in northwest China. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:Since the flow variations of Aksu River are strongly influenced by climate change and human activities which threat the local ecosystem and sustainable development, it is necessary to quantify the impact degree of the driving factors. Therefore, this study aims to quantify the impacts of climate change and human activities on the variability of runoff in the Aksu River Basin. The Mann-Kendall trend test and accumulative anomaly method were used to detect the break points of the flow difference value (FDV) between the upstream and downstream flume stations. The improved slope change ratio of cumulative quantity (SCRCQ) method and the Soil and Water Assessment Tool (SWAT) model were applied to decouple the contribution of each driving factor to the FDV variations. Furthermore, a Pearson Correlation Analysis was performed to show the relationships among the driving factors and the FDV. The time series prior to the year (1988) of break point was considered as the baseline period. Based on the annual precipitation and the potential evapotranspiration (PET), the relative impacts of precipitation, PET and human activities on FDV variations as determined by the SCRCQ method were 77.35%, -0.98% and 23.63%, respectively. In addition, the SWAT model indicated that climate factors and human activities were responsible for 92.28% and 7.72% of the variability, respectively. Thus, climate change and human activities showed a similar scale of impact on FDV changes. 
Language:English 
Keywords:runoff variation; climate change; human activities; Aksu River