DocumentCode
536311
Title
Future projections of streamflow in the Songhuajiang River basin based on the artificial neural networks
Author
Zeng Xiao-fan ; Zhou Jian-zhong ; Jiang Tong
Author_Institution
Sch. of Hydropower & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
1
fYear
2010
fDate
29-31 Oct. 2010
Firstpage
18
Lastpage
21
Abstract
Based on observed climate data and climate projection in the Songhuajiang River basin, streamflows at Jiamusi hydrological station under three emission scenarios during 2011-2050 are projected by applying artificial neural networks. The results show that annual streamflow will not change significantly and its decadal variations are also small, but there are significant seasonal variations under three emission scenarios.
Keywords
climatology; geophysics computing; neural nets; rivers; Jiamusi hydrological station; Songhuajiang River basin; artificial neural network; streamflow; Biological system modeling; Correlation; Meteorology; Strontium; Artificial neural networks; Projection; Streamflow; the Songhuajiang River basin;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-6582-8
Type
conf
DOI
10.1109/ICICISYS.2010.5658660
Filename
5658660
Link To Document