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
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;
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
DOI :
10.1109/ICICISYS.2010.5658660
