Future Projections of Streamflow in the Songhuajiang River Basin Based on the Artificial Neural Networks

摘要：

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.

关键词： Streamflow Projection Artificial neural networks the Songhuajiang River basin

作者: ZENG Xiao-fan ZHOU Jian-zhong JIANG Tong

作者单位: School of Hydropower & Information Engineering,Huazhong University of Science and Technology Wuhan 4 School of Hydropower & Information Engineering,Huazhong University of Science and Technology Wuhan 4 Centre on Climate Change,China Meteorological Administration Beijing 100081, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 18-21

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）