A Method Based on Neural Network for Risk Prediction of the Typical Moraine-Dammed Lake Outburst in the Himalayan Region

Weng Ming Xu; Gang Cheng Wang; Chong Liu

doi:10.4028/www.scientific.net/AMR.535-537.1799

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A Method Based on Neural Network for Risk Prediction of the Typical Moraine-Dammed Lake Outburst in the Himalayan Region
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 535-537A Method Based on Neural Network for Risk...

A Method Based on Neural Network for Risk Prediction of the Typical Moraine-Dammed Lake Outburst in the Himalayan Region

Abstract:

In this research, based on neural network, thirty typical moraine-dammed lakes were selected as the training set. In accordance with the rules defined, ten evaluation indexes were made dimensionless and used to train the model. Then the research could get the applicable model that evaluated the probabilities of moraine-dammed lake outburst in the Himalayas region of Tibet, China. Then the probability of outburst was predicted for the Laqu Lake based on the developed model, and the predictive value was 0.538. In terms of risk level standards divided, the Laqu Lake was high-risk, which is consistent with the field survey. It well demonstrated the applicability that using the neural network to assess the probabilities of moraine-dammed lake outburst.

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Periodical:

Advanced Materials Research (Volumes 535-537)

Pages:

1799-1802

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.535-537.1799

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Online since:

June 2012

Authors:

Weng Ming Xu, Gang Cheng Wang, Chong Liu

Keywords:

Evaluation Index, Moraine-Dammed Lake, Neural Network (NN), Probability of Outburst

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