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[1]FENG Yi,WU Bo-qiang,CUI Ling-zhou.Study on Forecasting Typhoon Rainfall Based on BP Neural Network[J].Research of Soil and Water Conservation,2012,19(03):289-293.

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Study on Forecasting Typhoon Rainfall Based on BP Neural Network

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 19 Number of periods: 2012 03 Page number: 289-293 Column: Public date: 2012-06-20

Title:: Study on Forecasting Typhoon Rainfall Based on BP Neural Network

Author(s):: FENG Yi¹, WU Bo-qiang³, CUI Ling-zhou²; 1. Editorial Department of Journal, Wenzhou University, Wenzhou, Zhejiang 325035, China;
2. College of Life and Environmental Science, Wenzhou University, Wenzhou, Zhejiang 325035, China;
3. Colloge of Geological Engineering, Chang’an University, Xi’an 710054, China

Keywords:: BP neural network; typhoon; rainfall; forecasting

CLC:: P457.8

DOI:: -

Abstract:: The heveay rainfall resulting from typhoon often caused severe disasters. Based on the principle of BP neural network and rainfall character of typhoon, the model of forecasting typhoon rainfall was set up. By using the rainfall of 6 hours from 88 rainfall observation stations during typhoon Matsa (No: 200509) and parameter of typhoon character, the model was trained and validated. The results showed that the proportion of relative error lower than 30% of per 6 hours rainfall was 71.1%. The study tried rapid prediction of the temporal variation and spatial distribution of typhoon rainfall, which was more important for typhoon disaster forecast, the damage assessment and decision-making.

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