Researching | Daily runoff predication using LSTM at the Ankang Station, Hanjing River

Progress in Geography, Volume. 39, Issue 4, 636(2020)

Daily runoff predication using LSTM at the Ankang Station, Hanjing River

Qingfang HU^1,1、*, Shiyi CAO^1,1, Huibin YANG^1,1,2,2, Yintang WANG^1,1, Linjie LI^1,1, and Lihui WANG^2,2

Author Affiliations

¹State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China

¹南京水利科学研究院水文水资源与水利工程科学国家重点实验室,南京 210029

²Department of Water Resources, Hydropower and PortEngineering, Fuzhou University, Fuzhou 350116, China

²福州大学水利水电与港口工程系,福州 350116

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Fig. 1. LSTM网络神经元结构示意图Fig.1

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Fig. 2. 研究区域与水文站点Fig.2

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Fig. 3. 安康及其上游石泉站2013—2014年逐日径流过程(局部)Fig.3

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Fig. 4. LSTM模型安康站检验期逐日径流预测结果(方案1)Fig.4

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Fig. 5. LSTM模型安康站检验期逐日径流预测结果(方案4)Fig.5

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Fig. 6. LSTM模型安康站逐日径流预测结果(方案7)Fig.6

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Qingfang HU, Shiyi CAO, Huibin YANG, Yintang WANG, Linjie LI, Lihui WANG. Daily runoff predication using LSTM at the Ankang Station, Hanjing River[J]. Progress in Geography, 2020, 39(4): 636

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Paper Information

Received: Nov. 4, 2019

Accepted: --

Published Online: Oct. 16, 2020

The Author Email:

DOI:10.18306/dlkxjz.2020.04.010

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