Wang Zhenxiang, Zhu Xiaodong, Shi Lei, Li Yangfan, Wang Jiaquan, Jia Liangqing
State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210093, China.
Ying Yong Sheng Tai Xue Bao. 2006 Dec;17(12):2431-5.
With the Pressure-State-Response (PSR) model developed by the Organization for Economic Cooperation and Development (OECD) and United Nations Environment Program (UNEP), this paper assessed the ecological security of the regions along Huaihe River in Anhui Province. Based on it, a revised integrative assessment model of regional ecological security and corresponding indicator system were built, in light of the social, economic and environmental characteristics of the regions. The weight of 17 indicators was estimated by Analytic Hierarchy Process (AHP) and Delphi technique, and three mathematical functions for these indicators were established. The results showed that the integrative ecological security degree of the regions based on PSR model was 0.41, and that after adding social-economic components was 0.34. Compared with the criterion set in this paper, the two assessment results of the regions were at comparatively unsafe level. However, the difference between the two results was 20.6%. To confirm the main elements that affect regional ecological security, the assessment model and corresponding indicator system should be combined with regional characteristics, and assessed with multi-model.
运用经济合作与发展组织（OECD）和联合国环境规划署（UNEP）提出的压力-状态-响应（PSR）模型，本文对安徽省淮河流域地区的生态安全状况进行了评估。在此基础上，结合该地区的社会、经济和环境特征，构建了区域生态安全综合评估修正模型及相应指标体系。运用层次分析法（AHP）和德尔菲法确定了17项指标的权重，并建立了这些指标的三个数学函数。结果表明，基于PSR模型的区域综合生态安全度为0.41，加入社会经济因素后的综合生态安全度为0.34。与本文设定的标准相比，该地区的两项评估结果均处于相对不安全水平。然而，两项结果之间的差异为20.6%。为确定影响区域生态安全的主要因素，评估模型及相应指标体系应结合区域特征，并采用多模型进行评估。
