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

Dang Luo ()

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2014, vol. 71, issue 3, 1419-1431

Abstract: 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. Copyright Springer Science+Business Media Dordrecht 2014

Keywords: Ice-jam disaster; Risk evaluation; Risk prediction; Gray system theory (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11069-013-0952-z

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