Evaluating model and approach of snow disaster effect on grassland animal husbandry ——A case study in Aletai Region of Xinjiang;

Assessment and monitoring of snow disaster effect on grassland livestock industry in the Aletai region using remote sensing technology;

Vulnerability assessment of regional snow disaster of animal husbandry: taking pasture of Inner Mongolia as an example;

Research on Characteristics of Climate and Forecasting Model for the Snow Disasters in the Prairie of Northwest Sichuan;

This paper utilized deviation cofficient(s) of snow disasters When deviation coefficient of snow disasters beyomded2.

Based on the data of air temperature,rainfall,and snow cover observed by meteorological stations in the pasturing area in the south of Qinghai Province from 1961 to 2005 and using the climate diagnosis method,the evolutional characteristics of climate elements and the cause of change of snow disasters are analyzed.

The characteristics of snow calamity in Inner Mongolian pastoral areas are as follows: the losses caused by snow calamity are serious and the degrees of difficulty to provide disaster relief are extremely difficult.

The foundation of the function of snow calamity fragility degrees can lead to the realization of integrated and stepwise forecasting,warning and assessment.

This text uses the theory of fuzzy mathematics, adopts the definite weight of law of coefficient correlation, sets up the snow calamity of Qinghai Plateau and fuzzy evaluation models , divides grade to the snow calamity that takes place in Qing.

This paper summarizes the lessons drawn from the fact that this year′s snow and ice disaster has caused great harm to power network.

An extremely rare snow and ice disaster hit the south area of China in January,2008,seriously influencing people s production and life.

This article reflects the damages to the national electrical network caused by the snow and ice disaster in 2008.

The 110 kV and above voltage line faults occurred in Qujing Power System during the ice disaster in 2008 are retro-spect, showing that the single-phase breakdown is over 86% to the total.