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安徽省沿淮地区生态安全评价模型和指标体系

王振祥1,2;朱晓东1;石磊1;李杨帆1;汪家权3;贾良清2   

  1. 1南京大学环境学院污染控制与资源化研究国家重点实验室, 南京 210093;
    2安徽省环境保护局, 合肥 230061;
    3合肥工业大学资源与环境工程学院, 合肥 230009
  • 收稿日期:2006-05-04 修回日期:2006-10-06 出版日期:2006-12-18 发布日期:2006-12-18

Ecological security assessment model and corresponding indicator system of the regions along Huaihe River in Anhui Province

WANG Zhenxiang1,2;ZHU Xiaodong1;SHI Lei1;LI Yangfan1;WANG Jiaquan3;JIA Liangqing2   

  1. 1State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210093, China;
    2Anhui Environmental Protection Bureau, Hefei 230061, China;
    3School of Resources Science and Environment Engineering, Hefei University of Technology, Hefei 230009, China
  • Received:2006-05-04 Revised:2006-10-06 Online:2006-12-18 Published:2006-12-18

摘要: 运用压力-状态-响应(PSR)模型,以安徽省沿淮地区为例进行了生态安全评价研究.根据安徽省沿淮地区的经济、社会和环境特点,提出社会经济作为模型组成部分的区域生态安全综合评价模型及指标体系.采用德尔菲法、层次分析法确定了17项评价指标及其权重,分类建立评价指标数学函数,计算该地区生态安全指数,并与PSR模型的评价结果进行了比较分析.结果表明,PSR模型评价结果为0.41,增加社会经济部分后的PSR模型的评价结果为0.34,两种评价结果同属较不安全等级,但相差为20.6%.区域生态安全评价模型和指标体系的建立应当结合区域特点,采用多模型进行评价,分析差异原因,以确定影响生态安全的主要要素.

关键词: 小麦, 增铵营养, 净光合速率, 可溶性糖, 硝酸还原酶

Abstract: 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.

Key words: Wheat, Enhanced ammonium nutrition (EAN), Net photosynthetic rate, Soluble sugar, Nitrate reductase (NR)