The Application of Seepage Flow Prediction in Nuer Dam Based on the Grey Self-Memory Model
The accurate time prediction of seepage pressure in the dam has essential significance for the safety of the dam body and the life and property of people. To predict the time sequence of seepage pressure, the grey self-memory model is introduced at first, and its calculative procedure is analyzed. T...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2022/6211685 |
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| author | Ai-Feng Wang Xiu-Tao Yang Da-Hai Guo |
| author_facet | Ai-Feng Wang Xiu-Tao Yang Da-Hai Guo |
| author_sort | Ai-Feng Wang |
| collection | DOAJ |
| description | The accurate time prediction of seepage pressure in the dam has essential significance for the safety of the dam body and the life and property of people. To predict the time sequence of seepage pressure, the grey self-memory model is introduced at first, and its calculative procedure is analyzed. Then, the engineering overview in the Nuer dam is narrated, and the prediction model of seepage pressure in the Nuer dam is established and analyzed based on the grey self-memory theory. Finally, the conclusions are drawn that relatively to GM (1,1), the grey self-memory model has higher accuracy, and it not only can predict the time sequence of seepage pressure in the Nuer reservoir accurately but also provide a new method for the development trend of seepage flow in the hydraulic engineering in the future. |
| format | Article |
| id | doaj-art-706c4f5993e74804bd338cb044e0e50a |
| institution | Kabale University |
| issn | 1468-8123 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geofluids |
| spelling | doaj-art-706c4f5993e74804bd338cb044e0e50a2025-02-03T01:22:26ZengWileyGeofluids1468-81232022-01-01202210.1155/2022/6211685The Application of Seepage Flow Prediction in Nuer Dam Based on the Grey Self-Memory ModelAi-Feng Wang0Xiu-Tao Yang1Da-Hai Guo2School of ArchitectureHenan Planning Design & Research Institute Co. Ltd.ZhengzhouThe Nuer Hydro-Junction Projection and Construction Authority in XinJiang Tarim River BasinThe accurate time prediction of seepage pressure in the dam has essential significance for the safety of the dam body and the life and property of people. To predict the time sequence of seepage pressure, the grey self-memory model is introduced at first, and its calculative procedure is analyzed. Then, the engineering overview in the Nuer dam is narrated, and the prediction model of seepage pressure in the Nuer dam is established and analyzed based on the grey self-memory theory. Finally, the conclusions are drawn that relatively to GM (1,1), the grey self-memory model has higher accuracy, and it not only can predict the time sequence of seepage pressure in the Nuer reservoir accurately but also provide a new method for the development trend of seepage flow in the hydraulic engineering in the future.http://dx.doi.org/10.1155/2022/6211685 |
| spellingShingle | Ai-Feng Wang Xiu-Tao Yang Da-Hai Guo The Application of Seepage Flow Prediction in Nuer Dam Based on the Grey Self-Memory Model Geofluids |
| title | The Application of Seepage Flow Prediction in Nuer Dam Based on the Grey Self-Memory Model |
| title_full | The Application of Seepage Flow Prediction in Nuer Dam Based on the Grey Self-Memory Model |
| title_fullStr | The Application of Seepage Flow Prediction in Nuer Dam Based on the Grey Self-Memory Model |
| title_full_unstemmed | The Application of Seepage Flow Prediction in Nuer Dam Based on the Grey Self-Memory Model |
| title_short | The Application of Seepage Flow Prediction in Nuer Dam Based on the Grey Self-Memory Model |
| title_sort | application of seepage flow prediction in nuer dam based on the grey self memory model |
| url | http://dx.doi.org/10.1155/2022/6211685 |
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