基于BP神经网络和FEFLOW模型模拟预测多年冻土活动层温度
Simulation and prediction of permafrost active layer temperature based on BP neural network and FEFLOW model： take the Fenghuoshan area on the Tibetan Plateau as an example
基于BP神经网络和FEFLOW模型模拟预测多年冻土活动层温度 |
| 郭林茂, 常娟, 徐洪亮, 叶仁政 |
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Simulation and prediction of permafrost active layer temperature based on BP neural network and FEFLOW model： take the Fenghuoshan area on the Tibetan Plateau as an example |
| Linmao GUO, Juan CHANG, Hongliang XU, Renzheng YE |
| 图9 三种升温情景下气温和各深度地温变化 |
| Fig.9 Annual mean air temperature and soil temperatures at different depths under the three warming scenarios |
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