Liu Xing-yuan, Liang Tian-gang, Guo Zheng-gang, Zhang Xue-tong
Key Laboratory of Grassland Agro-Ecosystem of Agriculture Ministry, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China.
Ying Yong Sheng Tai Xue Bao. 2008 Jan;19(1):133-8.
Based on the analysis of animal husbandry production and of distribution characteristics of snow disaster in northern Xinjiang, and by using RS and GIS techniques and field survey data, 9 early warning factors were selected from the three subsystems of grassland' s disaster-resistant capability, livestock's disaster-bearing capacity, and disaster-causing potential, and the death rate of livestock caused by snow disaster was used as a factor of risk assessment. An index system of snow disaster' s early warning and risk assessment for completely grazing grassland was established, and the early warning model of snow disaster, its distinguishing model, and risk assessment model were built by using multi-hierarchical synthetic and multi-objective linear weight function methods to predict the resistant capability of grassland and livestock against snow disaster, and to assess the potential risk loss from snow disaster in northern Xinjiang. The accuracy of the early warning model and risk assessment model was 85% and 72% , respectively.
通过对新疆北部畜牧业生产及雪灾分布特征的分析,利用遥感(RS)和地理信息系统(GIS)技术以及实地调查数据,从草地抗灾能力、牲畜承灾能力和致灾潜力三个子系统中选取9个预警因子,并将雪灾造成的牲畜死亡率作为风险评估因子。建立了完全放牧草地雪灾预警与风险评估指标体系,运用多层次综合和多目标线性权重函数方法构建了雪灾预警模型、判别模型和风险评估模型,以预测草地和牲畜抵御雪灾的能力,评估新疆北部雪灾潜在风险损失。预警模型和风险评估模型的准确率分别为85%和72%。