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Article

Hazard Assessment of Debris-Flow along the Baicha River in Heshigten Banner, Inner Mongolia, China

by 1,†, 1,†, 1,*, 2 and 1
1
College of Construction Engineering, Jilin University, Changchun 130026, China
2
Construction Engineering College, Changchun Sci-Tech University, Changchun 130600, China
*
Author to whom correspondence should be addressed.
Chen Cao and Peihua Xu are co-first authors. They contributed equally to this work.
Academic Editor: Jason K. Levy
Int. J. Environ. Res. Public Health 2017, 14(1), 30; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph14010030
Received: 24 October 2016 / Revised: 19 December 2016 / Accepted: 23 December 2016 / Published: 29 December 2016
(This article belongs to the Section Environmental Health)
This study focused on a cloud model approach for considering debris-flow hazard assessment, in which the cloud model provided a model for transforming the qualitative and quantitative expressions. Additionally, the entropy method and analytical hierarchy process were united for calculating the parameters weights. The weighting method avoids the disadvantages inherent in using subjective or objective methods alone. Based on the cloud model and component weighting method, a model was established for the analysis of debris-flow hazard assessment. There are 29 debris-flow catchments around the pumped storage power station in the study area located near Zhirui (Inner Mongolia, China). Field survey data and 3S technologies were used for data collection. The results of the cloud model calculation process showed that of the 29 catchments, 25 had low debris-flow hazard assessment, three had moderate hazard assessment, and one had high hazard assessment. The widely used extenics method and field geological surveys were used to validate the proposed approach. This approach shows high potential as a useful tool for debris-flow hazard assessment analysis. Compared with other prediction methods, it avoids the randomness and fuzziness in uncertainty problems, and its prediction results are considered reasonable. View Full-Text
Keywords: 3S technologies; cloud model; analytical hierarchy process; entropy method 3S technologies; cloud model; analytical hierarchy process; entropy method
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MDPI and ACS Style

Cao, C.; Xu, P.; Chen, J.; Zheng, L.; Niu, C. Hazard Assessment of Debris-Flow along the Baicha River in Heshigten Banner, Inner Mongolia, China. Int. J. Environ. Res. Public Health 2017, 14, 30. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph14010030

AMA Style

Cao C, Xu P, Chen J, Zheng L, Niu C. Hazard Assessment of Debris-Flow along the Baicha River in Heshigten Banner, Inner Mongolia, China. International Journal of Environmental Research and Public Health. 2017; 14(1):30. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph14010030

Chicago/Turabian Style

Cao, Chen, Peihua Xu, Jianping Chen, Lianjing Zheng, and Cencen Niu. 2017. "Hazard Assessment of Debris-Flow along the Baicha River in Heshigten Banner, Inner Mongolia, China" International Journal of Environmental Research and Public Health 14, no. 1: 30. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph14010030

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