基于人工神经网络的松花江流域未来流量预测

2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Pub Date : 2010-12-06 DOI:10.1109/ICICISYS.2010.5658660

X. Zeng, Jian-zhong Zhou, T. Jiang

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引用次数: 0

摘要

基于松花江流域气候观测资料和气候预估，应用人工神经网络对佳木斯水文站2011-2050年3种排放情景下的流量进行了预估。结果表明:3种排放情景下，年流量变化不大，年代际变化也较小，但存在显著的季节变化。

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Future projections of streamflow in the Songhuajiang River basin based on the artificial neural networks

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.

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2010 IEEE International Conference on Intelligent Computing and Intelligent Systems

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