Effect of Three Gorges Dam on Poyang Lake water level at daily scale based on machine learning
文献类型：期刊论文
| 作者 | Huang Sheng2,3; Xia Jun1,2,3; Zeng Sidong4; Wang Yueling1; She Dunxian2,3 |
| 刊名 | JOURNAL OF GEOGRAPHICAL SCIENCES
 |
| 出版日期 | 2021-11-01 |
| 卷号 | 31期号:11页码:1598-1614 |
| 关键词 | water level Poyang Lake machine learning Three Gorges Dam Yangtze River |
| ISSN号 | 1009-637X |
| DOI | 10.1007/s11442-021-1913-1 |
| 通讯作者 | Huang Sheng(2015huangsheng@whu.edu.cn) |
| 英文摘要 | Lake water level is an essential indicator of environmental changes caused by natural and human factors. The water level of Poyang Lake, the largest freshwater lake in China, has exhibited a dramatic variation for the past few years, especially after the completion of the Three Gorges Dam (TGD). However, there is a lack of more accurate assessment of the effect of the TGD on the Poyang Lake water level (PLWL) at finer temporal scales (e.g., the daily scale). Here, we used three machine learning models, namely, an Artificial Neural Network (ANN), a Nonlinear Autoregressive model with eXogenous input (NARX), and a Gated Recurrent Unit (GRU), to simulate the daily lake level during 2003-2016. We found that machine learning models with historical memory (i.e., the GRU model) are more suitable for simulating the PLWL under the influence of the TGD. The GRU-based results show that the lake level is significantly affected by the TGD regulation in the different operation stages and in different periods. Although the TGD has had a slight but not very significant impact on the yearly decline of the PLWL, the blocking or releasing of water at the TGD at certain moments has caused large changes in the lake level. This machine-learning-based study sheds light on the interactions between Poyang Lake and the Yangtze River regulated by the TGD. |
| WOS关键词 | YANGTZE-RIVER FLOW ; NATURAL PROCESS ; CHINA ; IMPACT ; DECLINE ; FLUCTUATIONS ; IMPOUNDMENT ; PREDICTION ; SHRINKAGE ; ABUNDANCE |
| WOS研究方向 | Physical Geography |
| 语种 | 英语 |
| WOS记录号 | WOS:000714930800003 |
| 出版者 | SCIENCE PRESS |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/167544]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Huang Sheng |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China 3.Wuhan Univ, Hubei Key Lab Water Syst Sci Sponge City Construc, Wuhan 430072, Peoples R China 4.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang Sheng,Xia Jun,Zeng Sidong,et al. Effect of Three Gorges Dam on Poyang Lake water level at daily scale based on machine learning[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2021,31(11):1598-1614. |
| APA | Huang Sheng,Xia Jun,Zeng Sidong,Wang Yueling,&She Dunxian.(2021).Effect of Three Gorges Dam on Poyang Lake water level at daily scale based on machine learning.JOURNAL OF GEOGRAPHICAL SCIENCES,31(11),1598-1614. |
| MLA | Huang Sheng,et al."Effect of Three Gorges Dam on Poyang Lake water level at daily scale based on machine learning".JOURNAL OF GEOGRAPHICAL SCIENCES 31.11(2021):1598-1614. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。