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Fu Y.,Qinghai Meteorological Science Institute | Xiao J.,Qinghai Meteorological Science Institute | Xiao R.,Qinghai Meteorological Science Institute | Sa W.,Foreign Affairs Office | And 2 more authors.
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2010

The risk zoning of geography distribution based on the establishment of risk assessment model of snow disaster was provided to carry out the evaluation and monitoring of snow disaster rapidly and accurately in large area. According to the basic GIS data of Qinghai Province, the hazards inducing environment background data, such as gradient and slope, vegetation etc. in the grid of 91.7 m×91.7 m were taken to analyze the geographic condition of snow disaster formation based on the basic measure unit of county. The risk indexes of snow disaster scale, frequency and density which will cause the disaster have been collected for statistic analysis. The people density, economy density, traffic density and richness of land source were selected as the factor of vulnerability assessment, which would provide the accurate information to forecasting and discriminating of snow disaster. The ArcGIS software was used to set up the comprehensive quantitative risk assessment model for snow disaster in Qinghai livestock region. The susceptibility of hazard inducing environment, risk hazardous, vulnerability assessment of sustaining hazard body have been gotten by operating the graphic data base. Finally the regional map of risk management of snow disaster in Qinghai Province was obtained through overlay algorithm of hierarchical maps and plaque combination, class hierarchy. The research results can help to take the effective measurement of risk management to reduce the disaster loss before winter, and it is also very important to keep the sustainable livestock development. The research results can also provide scientific basis to work out the pre-disaster planning and disaster relief strategic decision of post-disaster, and also can provide reference value to other province in risk evaluation of snow disaster.

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