Using ANNs to analyse effects of the Three Gorges Dam on sedimentation in Dongting Lake,China |
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| Authors: | Ye Gao Dong-sheng Zou |
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| Institution: | 1. College of Bioscience and Biotechnology, Hunan Agriculture University, Changsha, China;2. Department Hydrology and Water Resources Survey Bureau of Hunan Province, Changsha, China |
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| Abstract: | Since a river system is a unidirectional network, the upstream influencing factors often interfere with those downstream. We quantify the effects of the TGD on the sediment exchange processes between the Yangtze River and Dongting Lake. Based on yearly sediment load data from 1981 to 2008, two multi-layer perceptron (MLP) models were constructed to predict the potential sedimentation in Dongting Lake without implementation of the TGD. The sediment discharge at Yichang station decreased from 622.5 to 61.1 Mt/year between 1981–1985 and 2003–2008, while the sedimentation in Dongting Lake reduced from 127.3 to 6.6 Mt/year. The MLP models indicate that only 27.9% of the decreased sediment load at Yichang station and 16.9% of that in Dongting Lake is caused by the TGD, while the rest is caused mostly by other upstream climate variations and anthropogenic impacts. EDITOR A. Castellarin; ASSOCIATE EDITORN. Ilich |
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| Keywords: | Dongting Lake artificial neural network multi-layer perceptron Three Gorges Dam |
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