生态与农村环境学报 ›› 2014, Vol. 30 ›› Issue (6): 694-698.doi:

• 区域环境与发展 • 上一篇    下一篇

基于人均生态承载力的安徽省资源环境公平性研究

刘峰,张运,顾长梅,徐升   

  1. 安徽师范大学国土资源与旅游学院
  • 收稿日期:2014-05-03 修回日期:2014-07-06 出版日期:2014-11-25 发布日期:2014-12-05
  • 通讯作者: 张运 安徽师范大学国土资源与旅游学院 E-mail:zy2009@mail.ahnu.edu.cn
  • 作者简介:刘峰(1990—),男,安徽怀宁人,硕士生,主要从事生态环境方面的研究。E-mail:liufeng_106@163.com
  • 基金资助:

    安徽省教育厅自然基金重点项目(KJ2011A145)

Study on the Fairness of Resource-Environment System of Anhui Province Based on Ecological Carrying Capacity of Per Capita

LIU  Feng, ZHANG  Yun, GU  Chang-Mei, XU  Sheng   

  1. College of Territorial Resources and Tourism Anhui Normal University
  • Received:2014-05-03 Revised:2014-07-06 Online:2014-11-25 Published:2014-12-05
  • Contact: ZHANG Yun College of Territorial Resources and Tourism Anhui Normal University E-mail:zy2009@mail.ahnu.edu.cn

摘要:

通过对人均生态承载力内涵的扩展,提出了生态承载系数的概念。从多个时间断面出发,计算2001—2010年安徽省17 个地市的人均生态承载力,并选取能源消耗、水资源消耗、SO排放和COD 排放4 个评价因子,构建基于人均生态承载力的安徽省资源环境基尼系数和生态承载系数的计算与评价方法。结果表明:(1)安徽省SO 排放的资源环境基尼系数高于0. 4 的警戒线,能源消耗的资源环境基尼系数接近0.4 的警戒线,水资源消耗和COD排放的资源环境基尼系数均处于相对平均等级。(2)总体来看,省内资源型城市马鞍山、淮南,经济较发达城市合肥和沿江工业城市安庆、芜湖是安徽省资源消耗和污染物排放不公平性的主要因子,需要优化资源环境分配;皖南山区城市黄山、池州和宣城是安徽省资源消耗和污染物排放公平性的主要因子。该研究可为安徽省资源环境安全性评估和分配提供理论依据。

关键词: 资源环境基尼系数, 生态承载系数, 安徽省

Abstract:

Through expansion of the connotation of “per capita ecological carrying capacity”, the concept of ecological Load coefficient (ELC) was established. Based on multiple time sections, the ecological carrying capacity per capita of 17 cities in Anhui Province during 2001-2010 was calculated. At the same time, based on the per capita ecological carrying capacity the energy consumption, fresh water consumption, COD discharge and SO2 emission were chosen to establish the methods for calculation and evaluation of the Gini coefficient of resources and environment (Gr,e) and the ELC in Anhui province. The results show that (1) The SO2 emission of Gr,eare higher than the “red line” of 0.4, and the energy consumption of Gr,e is close to 0.4. The Gr,e of other items such as fresh water consumption and COD discharge are all in a relative and reasonable scope. (2) On the whole, the resource-based cities (such as Ma'anshan, Huainan), the relatively developed cities (such as Hefei) and the industrial cities along the Yangtze River (such as Anqing, Wuhu)in Anhui Province are the main factors contributing to unfairness of the resource consumption and pollutant release. These cities need to optimize the allocation of resources and environment. Cities in the mountainousareaof south Anhui Province (such as Huangshan, Chizhou, Xuancheng) are the main factors contributing to fairness of resource consumption and pollutants release. The results of thestudy can provide a theoretical basis for safety assessment and fairlydistribution of the resources and environment  of Anhui Province.

Key words: resource-environment Gini coefficient (Gr,e), ecological Load coefficient (ELC), Anhui Province

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