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Risk evaluation of ice-jam disasters using gray systems theory: the case of Ningxia-Inner Mongolia reaches of the Yellow River

机译:基于灰色系统理论的冰冻灾害风险评估:以宁夏-内蒙古黄河段为例

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摘要

Risk evaluation for natural disasters is an important part of the emergency management, disaster prevention and mitigation. Because of the complexity and uncertainty of practical evaluation problems, the evaluation information available generally needs depiction of interval gray numbers instead of real numbers. This paper presents an evaluation method with three-parameter interval gray numbers which can deal with dynamic multiple indicators in order to evaluate efficiently the ice-jam disaster risk of Ningxia-Inner Mongolia reaches of the Yellow River in China. The gray range transformation is introduced into the process of model building to eliminate the incomparability of different dimensions. Moreover, model GM(1,1) is used to simulate and predict the development trend of risk vector. As the results show, while the ice-jam disaster risk of Ningxia-Inner Mongolia reaches of the Yellow River reveals certain wave characteristics, the overall trend remains smooth. The risk degree of ice-jam disaster with Bayangol and Toudaoguai is expected to decrease in the years between 2013 and 2015, while that with Sanhu River tends to increase.
机译:自然灾害风险评估是应急管理,防灾减灾的重要组成部分。由于实际评估问题的复杂性和不确定性,因此可用的评估信息通常需要描述间隔灰度数字而不是实数。为了有效地评估中国黄河宁夏-内蒙古河段的冰冻灾害风险,本文提出了一种三参数区间灰阶的评价方法,该方法可以处理动态多指标。将灰度范围变换引入到模型构建过程中,以消除不同尺寸的不可比性。此外,模型GM(1,1)用于模拟和预测风险向量的发展趋势。结果表明,宁夏-内蒙古黄河段冰灾灾害风险具有一定的波浪特征,但总体趋势仍然平稳。预计在2013年至2015年之间,Bayangol和Toudaoguai发生冰冻灾害的风险程度将降低,而Sanhu River发生冰冻灾害的风险程度则将增加。

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