Responses of River Runoff to Climate Change Based on Nonlinear Mixed Regression Model in Chaohe River Basin of Hebei Province, China
文献类型：期刊论文
| 作者 | Jiang Yan; Liu Changming; Zheng Hongxing; Li Xuyong; Wu Xianing |
| 刊名 | CHINESE GEOGRAPHICAL SCIENCE
 |
| 出版日期 | 2010-04 |
| 卷号 | 20期号:2页码:152-158 |
| 关键词 | river runoff runoff forecast nonlinear mixed regression model linear multi-regression model linear mixed regression model BP neural network |
| 中文摘要 | Taking the nonlinear nature of runoff system into account, and combining auto-regression method and multi-regression method, a Nonlinear Mixed Regression Model (NMR) was established to analyze the impact of temperature and precipitation changes on annual river runoff process. The model was calibrated and verified by using BP neural network with observed meteorological and runoff data from Daiying Hydrological Station in the Chaohe River of Hebei Province in 1956-2000. Compared with auto-regression model, linear multi-regression model and linear mixed regression model, NMR can improve forecasting precision remarkably. Therefore, the simulation of climate change scenarios was carried out by NMR. The results show that the nonlinear mixed regression model can simulate annual river runoff well. |
| WOS记录号 | WOS:000276234800008 |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/21008]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Jiang Yan,Liu Changming,Zheng Hongxing,et al. Responses of River Runoff to Climate Change Based on Nonlinear Mixed Regression Model in Chaohe River Basin of Hebei Province, China[J]. CHINESE GEOGRAPHICAL SCIENCE,2010,20(2):152-158. |
| APA | Jiang Yan,Liu Changming,Zheng Hongxing,Li Xuyong,&Wu Xianing.(2010).Responses of River Runoff to Climate Change Based on Nonlinear Mixed Regression Model in Chaohe River Basin of Hebei Province, China.CHINESE GEOGRAPHICAL SCIENCE,20(2),152-158. |
| MLA | Jiang Yan,et al."Responses of River Runoff to Climate Change Based on Nonlinear Mixed Regression Model in Chaohe River Basin of Hebei Province, China".CHINESE GEOGRAPHICAL SCIENCE 20.2(2010):152-158. |
入库方式： OAI收割
来源：生态环境研究中心
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