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JOURNAL OF DESERT RESEARCH  2015, Vol. 35 Issue (2): 474-478    DOI: 10.7522/j.issn.1000-694X.2014.00024
    
Application of the BP Neural Network Model in Summer Drought Prediction: a case in the Hexi Corridor
Liu Honglan1,2, Zhang Qiang2, Zhang Junguo3, Wang Haibo1, Wen Xiaoyan1
1. Zhangye Meteorological Bureau, Zhangye 734000, Gansu, China;
2. Key Laboratory of Arid Climatic Change and Disaster Reduction of Gansu Province/Key Laboratory of Arid Climate Change and Disaster Reduction of China Meteorological Administration, Institute of Arid Meteorology, China Meteorological Administration, Lanzhou 730020, China;
3. Zhangye Middle School, Zhangye 734000, Gansu, China
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Abstract  Using the summer drought and precipitation data collected in the Hexi Corridor, temperature, precipitation air sounding data from Zhangye Observatory, and circulation factors data from National Climate Center of China, a model to predict summer drought and summer precipitation was established based on BP Neural Network model. BP Neural Network model has comparatively ideal forecasting effect to summer drought and summer precipitation. The simulation results have a consistent rate of 97.6% and 84.6% with summer drought history and forecasting, respectively. The simulation results have a consistent rate of 97.6% and 76.9% with summer precipitation history and forecasting, respectively. So BP Neural Network model has very good actual application capability for summer drought forecasting.
Key words:  summer drought      Hexi Corridor      BP neural network      forecast model     
Received:  24 February 2014      Published:  20 March 2015
ZTFLH:  P429  

Cite this article: 

Liu Honglan, Zhang Qiang, Zhang Junguo, Wang Haibo, Wen Xiaoyan. Application of the BP Neural Network Model in Summer Drought Prediction: a case in the Hexi Corridor. JOURNAL OF DESERT RESEARCH, 2015, 35(2): 474-478.

URL: 

http://www.desert.ac.cn/EN/10.7522/j.issn.1000-694X.2014.00024     OR     http://www.desert.ac.cn/EN/Y2015/V35/I2/474

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