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基于环境污染账户核算的生态足迹模型优化——以珠江三角洲城市群为例

白钰1;曾辉1,2;魏建兵1;张文娟1;赵宏伟1   

  1. 1北京大学深圳研究生院城市人居环境科学与技术重点实验室, 广东深圳 518055; 2北京大学环境学院生态学系, 北京 100871
  • 收稿日期:2007-11-05 修回日期:1900-01-01 出版日期:2008-08-20 发布日期:2008-08-20

Optimization of ecological footprint model based on environmental pollution accounts: A case study in Pearl River Delta urban agglomeration.

BAI Yu1;ZENG Hui1,2; WEI Jian-bing1;ZHANG Wen-juan1;ZHAO Hong-wei1   

  1. 1Key Laboratory for Environmental and Urban Sciences, Shenzhen Graduate
    School, Peking University, Shenzhen 518055, Guangdong, China;2Department of Ecology, School of Environment, Peking University, Beijing 100871, China
  • Received:2007-11-05 Revised:1900-01-01 Online:2008-08-20 Published:2008-08-20

摘要: 针对传统的生态足迹分析模型在账户设置中忽略对环境污染核算的缺陷,本文提出了涵盖污染账户的生态足迹模型,将污染物进行合理转化进而纳入核算账户,在生态足迹核算中增加了污染足迹的计算,在生态承载力核算中增加了环境承载力的计算,并通过2005年珠江三角洲城市群的生态足迹对优化的生态足迹模型进行了验证.结果表明,通过优化模型计算得出的2005年珠江三角洲城市群的生态足迹结果与该区的实际发展特征和空间结构具有较高的吻合度.说明优化的模型在内涵上为环境污染在生态足迹模型中进行了较准确的定位,使结果能更全面地反映人类活动对生态环境的影响,在核算的完整性和客观性上均优于传统的生态足迹核算体系.

关键词: 土地利用变化, 玛多县, 空间格局, 网格单元, 生态系统服务价值

Abstract: To solve the problem of ignoring the calculation of environment pollution in traditional ecological footprint model accounts, this paper put forward an optimized ecological footprint (EF) model, taking the pollution footprint into account. In the meantime, the environmental capacity’s calculation was also added into the system of ecological capacity, and further used to do ecological assessment of Pearl River Delta urban agglomeration in 2005. The results showed a perfect inosculation between the ecological footprint and the development characteristics and spatial pattern, and illustrated that the optimized EF model could make a better orientation for the environmental pollution in the system, and also, could roundly explain the environmental effects of human activity. The optimization of ecological footprint model had better integrality and objectivity than traditional models.

Key words: grid unit, land use change, ecosystem service value, spatial pattern, Maduo County