PREDICTION MODEL AND SENSITIVE FACTORS FOR AVERAGE SPEED OF DEBRIS FLOWS AT JIANGJIA GULLY

YU Guoqiang; ZHANG Maosheng; WANG Genlong

doi:10.13544/j.cnki.jeg.2014.03.001

Volume 22 Issue 3

Jun. 2014

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YU Guoqiang, ZHANG Maosheng, WANG Genlong. 2014: PREDICTION MODEL AND SENSITIVE FACTORS FOR AVERAGE SPEED OF DEBRIS FLOWS AT JIANGJIA GULLY. JOURNAL OF ENGINEERING GEOLOGY, 22(3): 355-360. doi: 10.13544/j.cnki.jeg.2014.03.001

Citation:

YU Guoqiang, ZHANG Maosheng, WANG Genlong. 2014: PREDICTION MODEL AND SENSITIVE FACTORS FOR AVERAGE SPEED OF DEBRIS FLOWS AT JIANGJIA GULLY. JOURNAL OF ENGINEERING GEOLOGY, 22(3): 355-360. doi: 10.13544/j.cnki.jeg.2014.03.001

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PREDICTION MODEL AND SENSITIVE FACTORS FOR AVERAGE SPEED OF DEBRIS FLOWS AT JIANGJIA GULLY

doi: 10.13544/j.cnki.jeg.2014.03.001

Key Laboratory for Geo-hazards in Loess Area, MLR, Xi'an Center of Geological Survey, China Geological Survey, Xi'an 710054

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Received Date: 2013-11-20
Rev Recd Date: 2014-02-15
Publish Date: 2014-06-25

Abstract

Abstract

This paper investigates the sensitive factors of the average speed of debris flows and coupling relationship of the influence factors with the data of debris flows in Jiangjia gully. The BPANN and SVM are proposed for building predictive model of average velocity of debris flows. Prediction accuracy and scope of application of the two models are compared. Analysis is done on various factors for their sensitivities to average speed of debris flows with the default factor method. A prediction model for debris flows is established and verified. The results show that the prediction accuracy of the SVM model is better than that of the BPANN model in the validation phase. The extrapolating ability and predicting capability have been validated by using the support vector machine prediction model,and the SVM model is more suitable for its prediction of debris flow. Channel slope and the thickness of the unstable layer are the main sensitive factors affecting average velocity of debris flows. The interaction amongst various factors formed coupling relationship under the complicated condition. The relationship model of average speed of debris flows established base upon channel slope,and the thickness of the unstable layer can well express quantitatively the response relationship between debris flows dynamic and various factors with sufficient high accuracy. It is an accurate scientific basis for prevention of debris flow.
- Debris flow,
- Jiangjia gully,
- Average velocity,
- Prediction model,
- Sensitive factors

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References(1)

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