| contributor author | Qin Ju | |
| contributor author | Zhongbo Yu | |
| contributor author | Zhenchun Hao | |
| contributor author | Gengxin Ou | |
| contributor author | Zhiyong Wu | |
| contributor author | Chuanguo Yang | |
| contributor author | Huanghe Gu | |
| date accessioned | 2017-05-08T21:49:49Z | |
| date available | 2017-05-08T21:49:49Z | |
| date copyright | January 2014 | |
| date issued | 2014 | |
| identifier other | %28asce%29he%2E1943-5584%2E0000795.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/63678 | |
| description abstract | Recent climate changes have observable impacts on hydrologic processes and will further affect hydrologic systems in the future. The temperature and precipitation modeled with eight global circulation models (GCMs) (selected from 22 GCMs published in the Fourth Assessment of the Intergovernmental Panel on Climate Change) under three typical emission scenarios entitled A1B, A2, and B1 were evaluated in this study for future projections in the Yangtze River Basin, China. The artificial neural network model was used to assess the evolutional trend of hydrologic processes (e.g., streamflow) and the possibility of extreme floods in the Yangtze River Basin by using data generated by selected GCMs under future climate changes. The results indicate that the future annual streamflow tends to decrease in the Yangtze River Basin. The future average annual flow is reduced by | |
| publisher | American Society of Civil Engineers | |
| title | Response of Hydrologic Processes to Future Climate Changes in the Yangtze River Basin | |
| type | Journal Paper | |
| journal volume | 19 | |
| journal issue | 1 | |
| journal title | Journal of Hydrologic Engineering | |
| identifier doi | 10.1061/(ASCE)HE.1943-5584.0000770 | |
| tree | Journal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 001 | |
| contenttype | Fulltext | |
