Advanced search
Add to list

Quantitative detection and attribution of runoff variations in the Aksu River basin

(2016) WATER. 8(8).
Author
Organization
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.
Keywords
runoff variation, climate change, human activities, Aksu River, CLIMATE-CHANGE, LAND-USE, TARIM RIVER, VEGETATION CHANGES, STREAMFLOW, VARIABILITY, IMPACTS, CATCHMENT, MODEL, SWAT

Citation

Please use this url to cite or link to this publication:

MLA
Meng, Fanhao et al. “Quantitative Detection and Attribution of Runoff Variations in the Aksu River Basin.” WATER 8.8 (2016): n. pag. Print.
APA
Meng, F., Liu, T., Huang, Y., Luo, M., Bao, A., & Hou, D. (2016). Quantitative detection and attribution of runoff variations in the Aksu River basin. WATER, 8(8).
Chicago author-date
Meng, Fanhao, Tie Liu, Yue Huang, Min Luo, Anming Bao, and Dawei Hou. 2016. “Quantitative Detection and Attribution of Runoff Variations in the Aksu River Basin.” Water 8 (8).
Chicago author-date (all authors)
Meng, Fanhao, Tie Liu, Yue Huang, Min Luo, Anming Bao, and Dawei Hou. 2016. “Quantitative Detection and Attribution of Runoff Variations in the Aksu River Basin.” Water 8 (8).
Vancouver
1.
Meng F, Liu T, Huang Y, Luo M, Bao A, Hou D. Quantitative detection and attribution of runoff variations in the Aksu River basin. WATER. 2016;8(8).
IEEE
[1]
F. Meng, T. Liu, Y. Huang, M. Luo, A. Bao, and D. Hou, “Quantitative detection and attribution of runoff variations in the Aksu River basin,” WATER, vol. 8, no. 8, 2016.
@article{8617403,
  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.},
  articleno    = {338},
  author       = {Meng, Fanhao and Liu, Tie and Huang, Yue and Luo, Min and Bao, Anming and Hou, Dawei},
  issn         = {2073-4441},
  journal      = {WATER},
  keywords     = {runoff variation,climate change,human activities,Aksu River,CLIMATE-CHANGE,LAND-USE,TARIM RIVER,VEGETATION CHANGES,STREAMFLOW,VARIABILITY,IMPACTS,CATCHMENT,MODEL,SWAT},
  language     = {eng},
  number       = {8},
  pages        = {21},
  title        = {Quantitative detection and attribution of runoff variations in the Aksu River basin},
  url          = {http://dx.doi.org/10.3390/w8080338},
  volume       = {8},
  year         = {2016},
}

Altmetric
View in Altmetric
Web of Science
Times cited: