基于遗传算法和云模型的公路沿线泥石流灾害危险性区划

doi:10.13722/j.cnki.jrme.2016.0157

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Abstract Hazard regionalization of debris flow disasters along highways clarifies the priorities of disaster prevention and protection standards for different parts of China，and provides a theoretical basis for macro policy formulation. Hazard sources of debris flow disasters along highways were identified from four aspects of the topography and landscape，precipitation，rock and soil materials，and vegetation. The hazard assessment indexes were extracted using the genetic algorithm according to the survey results of the potential debris flow disasters along highways. The weight of each index was calculated through the AHP algorithm improved by the cloud model. The assessment index maps were rendered and the spatial hazard analysis of debris flow disasters along highways was made with ArcGIS. Hazard regionalization scheme of debris flow disasters along highways in China was worked out mainly based on the hazardous degree. The hazardous degree of debris flow disasters along highways in China is from 1.000 to 7.900. High hazardous areas are the mountainous areas in the southeast of Zhejiang and Fujian province，the mountain areas of Taiwan，Kunlun Mountains，Tianshan Mountains，Taihang Mountains，Loess Plateau，Hengduan Mountains and eastern Tibetan Plateau. China is divided into regions of low hazard，moderate hazard，severe hazard and extremely severe hazard. The extremely severe hazard areas are the Loess Plateau—Qinba mountain areas，Wuyishan—Taiwan mountain areas，Sichuan-Yunnan mountain areas and Tianshan-Kunlun mountain areas.

Key words： engineering geology debris flow disaster along highway assessment index genetic algorithm AHP algorithm improved by cloud model

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	Articles by authors
	YIN Chao1
	2
	3
	WANG Xiaoyuan1
	2
	ZHANG Jinglei1
	2
	TIAN Weiping3
	HUAN Rong1

Cite this article:

YIN Chao1,2,3, et al. Hazard regionalization of debris flow disasters along highways based on genetic algorithm and cloud model[J]. , 2016, 35(11): 2266-2275.

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http://rockmech.org/EN/10.13722/j.cnki.jrme.2016.0157 OR http://rockmech.org/EN/Y2016/V35/I11/2266

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