The study on Sanmenxia annual flow forecasting in the Yellow River with mix regression model
文献类型：SCI/SSCI论文
| 作者 | Wang Y. |
| 发表日期 | 2004 |
| 关键词 | forecast annual now mix regression model Sanmenxia Station |
| 英文摘要 | This paper established mix regression model for simulating annual flow, in which annual runoff is auto-regression factor, precipitation, air temperature and water consumption are regression factors; we adopted 9 hypothesis climate change schemes to forecast the change of annual flow of Sanmenxia Station. The results show : (1) When temperature is steady, the average annual runoff will increase by 8.3% if precipitation increases by 10%; when precipitation decreases by 10%, the average annual runoff will decrease by 8.2%; when precipitation is steady, the average annual runoff will decrease by 2.4% if temperature increases 1degreesC; if temperature decreases 1degreesC, runoff will increase by 1.2%. The mix regression model can well simulate annual runoff. (2) As to 9 different temperature and precipitation scenarios, scenario 9 is the most adverse to the runoff of Sanmenxia Station of Yellow River; i.e. temperature increases 1degreesC and precipitation decreases by 10%. Under this condition, the simulated average annual runoff decreases by 10.8%. On the contrary, scenario 1 is the best to the enhancement of runoff; i.e. when temperature decreases 1degreesC precipitation will increase by 10%, which will make the annual runoff of Sanmenxia increase by 10.6%. |
| 出处 | Science in China Series E-Engineering & Materials Science |
| 卷 | 47 |
| 页 | 118-126 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1006-9321 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/23746]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Wang Y.. The study on Sanmenxia annual flow forecasting in the Yellow River with mix regression model. 2004. |
入库方式： OAI收割
来源：地理科学与资源研究所
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