云南水力发电2024,Vol.40Issue(2) :4-8,106.DOI:10.3969/j.issn.1006-3951.2024.02.002

基于神经网络的台特玛湖湖区植被盖度预测

Prediction of Vegetation Coverage in Taitema Lake Area Based on Neural Networks

谢志勇 璋瑜 刘坤
云南水力发电2024,Vol.40Issue(2) :4-8,106.DOI:10.3969/j.issn.1006-3951.2024.02.002

基于神经网络的台特玛湖湖区植被盖度预测

Prediction of Vegetation Coverage in Taitema Lake Area Based on Neural Networks

谢志勇 1璋瑜 1刘坤2
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作者信息

  • 1. 塔里木河干流管理局,新疆 库尔勒 841000
  • 2. 中国科学院新疆生态与地理研究所,新疆 乌鲁木齐 830001;新疆农业大学水利与土木工程学院,新疆 乌鲁木齐 830052
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摘要

台特玛湖是塔里木河和车尔臣河的尾闾湖,是目前塔里木河下游的唯一湖泊,研究台特玛湖适宜面积及其与植被盖度之间的关系对塔里木河下游生态水精细化管理具有实际意义.基于塔里木河干流来水量、台特玛湖湖面面积、大西海子水库下泄水量等作为输入神经元,以植被盖度作为输出,通过建立BP神经网络与RBF神经网络模型,分别进行模拟并预测,模拟及预测的结果表现为BP神经网络得到的效果较好.

Abstract

Taitema Lake is the tail lake of the Tarim River and the Cherchen River.It is the only lake in the lower reaches of the Tarim River.It is of practical significance to study the suitable area of Taitema Lake and its relationship with vegetation coverage for the fine management of ecological water in the lower reaches of Tarim River.Based on the inflow of the main stream of the Tarim River,the area of Taitema Lake and the discharge of Daxihaizi Reservoir as input neurons,and vegetation coverage as output,BP neural network and RBF neural network models are established to simulate and predict respectively.The results of simulation and prediction show that the effect of BP neural network is better.

关键词

台特玛湖/植被盖度/BP神经网络/RBF神经网络/塔里木河

Key words

Taitema Lake/vegetation coverage/BP neural network/RBF neural network/Tarim River

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出版年

2024
云南水力发电
云南水力发电工程学会

云南水力发电

影响因子:0.213
ISSN:1006-3951
参考文献量10
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