Using ANNs to analyse effects of the Three Gorges Dam on sedimentation in Dongting Lake, China

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成果类型：

期刊论文

作者：

Gao, Ye;Xie, Yong-hong*;Zou, Dong-sheng

通讯作者：

Xie, Yong-hong

作者机构：

[Gao, Ye; Zou, Dong-sheng] Hunan Agr Univ, Coll Biosci & Biotechnol, Changsha, Hunan, Peoples R China.

[Gao, Ye] Dept Hydrol, Changsha, Hunan, Peoples R China.

[Gao, Ye] Water Resources Survey Bur Hunan Prov, Changsha, Hunan, Peoples R China.

[Xie, Yong-hong] Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Changsha, Hunan, Peoples R China.

[Xie, Yong-hong] Chinese Acad Sci, Dongting Lake Stn Wetland Ecosyst Observat & Res, Inst Subtrop Agr, Yueyang, Peoples R China.

通讯机构：

[Xie, Yong-hong] C

Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Changsha, Hunan, Peoples R China.

Chinese Acad Sci, Dongting Lake Stn Wetland Ecosyst Observat & Res, Inst Subtrop Agr, Yueyang, Peoples R China.

语种：

英文

关键词：

Dongting Lake;Three Gorges Dam;artificial neural network;multi-layer perceptron

期刊：

Hydrological Sciences Journal

ISSN：

0262-6667

年：

2017

卷：

期：

页码：

1583-1590

DOI：

10.1080/02626667.2017.1338833

基金类别：

National Science-Technology Support Plan [2014BAC09B03]

机构署名：

本校为第一机构

院系归属：

生物科学技术学院

摘要：

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 L...

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Using ANNs to analyse effects of the Three Gorges Dam on sedimentation in Dongting Lake, China

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