The Study On The Ecological Security Evaluation In Yanbian Based On The P-S-R Model

Based on the object of sustainable development,human society always pursue the coordinated development with the natural environment.Study on the ecological security has become the significance,especially in some special regions."the Pressure-State-Response"frame model is used for establishment of regional ecological security assessment index system,because of the research of the impact of ecological security and stability .The natural conditions,ecological problem,ecnonmic and social development level of Yanbian are very important for the selection of 21 representative evaluation index.Then,the values of evaluation index weights have been calculated by the method of AHP. Through the calculation of pressure index and response index, human social activities and the impact of environmental pollution on the situation of the study area have been analyzed.the spatial differences also have been found. Finally, according to the criteria layer weight values and standardized values,the ecological security composite index has been calculated by the weighted model.Quantitative and qualitative analysis have been performed for the natural conditions and human economic activities on the environment and the status and spatial differences of ecological secutity base on the ESI.At the same time,evaluation of the standard value will be implemented in the study area administrative divisions of each data unit on a grid by using of remote sensing and GIS technology.Eventually,the final outcome of ecological security assessment have been shown by means of graphs,charts and text,which are intuitive and comprehensive.The main conclusion as follows:Composite index of ecological security evaluation results show that the differences current state of ecological safety in Yanbian,The West is better than the East.The main focus of ecological safety problems are Yanji,Tumen and Hunchun.The spatial distribution of ecological safety with more significant spatial autocorrelation in Yanbian in 2007,showing characteristics of a good clustering.