以县域为研究对象,从影响生态环境的自然因素、人类干扰因素两个方面出发,确定了包括目标层-准则层-指标层在内的系统化评价指标体系;打破传统的以行政区域为单元分析的模式,通过GIS网格技术和模糊综合评价多属性特征分析,提出了将地理信息系统技术(GIS)和AHP-模糊综合评价模型互相融合,以网格单元进行生态环境脆弱性综合评价的"分解-合成"新的技术方法,采用层次分析法赋予指标权重,建立了改进型的"模糊脆弱度评价模型"。并作了GIS脆弱性等级划分,科学地、定量地反映生态脆弱性的空间分布,有利于对区域生态脆弱性的宏观认识与问题的辨识,丰富了生态脆弱性分析的技术方法。以浑源县为研究对象,应用所建立的模型与采用的技术方法进行验证性分析,其结果与浑源县实际情况吻合较好,表明所建立的模型与技术方法是可行的。
Based on environmental ecology and restoration ecology, in this research we took regional and sustainable development as the guiding ideology. Then the ecological environmental vulnerability was carried on systematically, and the framework of synthetic analysis and evaluation on ecological environmental vulnerability was confirmed. Considering natural and artificial factors, the systematic evaluation index system was determined, including target layer-criterion layer-index layer. The 30m×30m grid system as a basic analysis unit was established, which broke with the traditional mode of administrative region as a basic analysis unit. Through the GIS grid technology and the multiple attribute characteristics analysis on the fuzzy comprehensive evaluation, the new technology "decomposition-synthesis method" was proposed, which was based on the geographic information system (GIS) and AHP-fuzzy comprehensive evaluation model. The weight for every evaluation index was confirmed with analytic hierarchy process (AHP) method, and the improved "fuzzy vulnerability evaluation model" was established. On the basis of the GIS technology, the classification of vulnerability was carried out, which reflected the spatial distribution of the ecological vulnerability scientifically and quantitatively, so that the result of evaluation made the natural elements with continuity, and was beneficial to the macroscopic realization and problem identification of the ecological environmental vulnerability. Meanwhile, it enriched the theories and methods of the analyses on the ecological environmental vulnerability. The established model and the technical method were used to verify the analysis for Hunyuan County, Shanxi Province. The results agree well with the actual situation of Hunyuan County, which shows that the established model and technical approach is feasible.
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