According to the geological environment conditions of the study area and the characteristics of the Yun nickel tailing pond, population, assets and resources are selected as the evaluation indexes of geological disaster vulnerability. Delphi method and analytic hierarchy process (AHP) are used to determine the weight value of evaluation indexes and establish a generalized mathematical model. Using computer programming language C⁺⁺, combined with GIS system development platform for quantitative evaluation of vulnerability of geological disasters, this article gets graded partition map of geological disasters vulnerability. Geological disaster vulnerability of the Yun nickel tailing pond may be divided into the four grades of extreme vulnerability, high vulnerability, moderate vulnerability and low vulnerability. The research results not only provide a reference for studies of geological disaster vulnerability in other similar tailings, but also provide a scientific basis for regional planning and construction suitability evaluation by governments.