Journal of Glaciology and Geocryology

Study of the risk evaluation of snow disaster in pastoral areas of Xilingol League， Inner Mongolia

Delegerima, Yiping LI, Xuefeng MENG, Ying TIAN, Yanxia JI, Morgen ZHANG

Journal of Glaciology and Geocryology, 2020, 42(4): 1353-1362. DOI: 10.7522/j.issn.1000-0240.2019.0089

评价指标		对白灾的贡献权重	子因子层	子因子在评价指标中的权重	子因子在白灾中的权重
致灾因子		0.6690	最大积雪深度	0.2109	0.1411
			积雪综合指数	0.6103	0.4083
			积雪掩埋布草高度比	0.1788	0.1196
孕灾环境指标	气象条件导致的孕灾环境	0.1997	最大风速月平均	0.0517	0.0103
			定时风速日平均值的月平均	0.0622	0.0124
			月最低气温	0.0367	0.0073
			日最低气温月平均值	0.1441	0.0288
			日最高气温月平均	0.0377	0.0075
			月降水量	0.3512	0.0701
			牧草生长期降水量	0.3204	0.0640
	下垫面孕灾环境	0.0843	归一化植被盖度	0.7500	0.0632
	下垫面孕灾环境	0.0843	坡度	0.2500	0.0211
脆弱性指标		0.0471	人口密度	0.0629	0.0030
			超载率	0.5810	0.0274
			牧民纯收入	0.2896	0.0136
			人均GDP	0.0665	0.0031

Table 3 Weights of risk assessment indexes on white dzud

Other figure/table from this article

Fig.1 The slope normalization map of Xiligol League
Table 1 Correlation coefficients between white dzud and various meteorological factors
Table 2 Cataclysm weight （W_θ ）changing with slopes
Fig.2 Vegetation coverage of Xilingol League in November， 2009
Fig.3 The training sample prediction results， showing that the trained neural network can get very good prediction results on the training data set
Fig.4 Comparison of snow hazard grade determined by the disaster losses and calculated by the BP method
Fig.5 The absolute error between BP prediction result and disaster grade determined by disaster losses
Table 4 The five disaster grades and disaster degree
Fig.6 Maps showing the snow disaster risk classification in Xilingol League in Nov. 1985 （a）， Feb. 1986 （b）， Feb. 2000 （c） and Nov. 1992 （d）