吉林大学学报(理学版)

• 环境科学 • 上一篇    

人类活动影响下城市大气环境的脆弱性评价

张阳1, 王苿2, 金国华2, 申婧1, 丁峰3, 李鱼1   

  1. 1. 华北电力大学 资源与环境研究院, 北京 102206; 2. 吉林省环境工程评估中心, 长春 130022;3. 中华人民共和国环境保护部 环境工程评估中心, 北京 100012
  • 收稿日期:2017-01-12 出版日期:2017-07-26 发布日期:2017-07-13
  • 通讯作者: 李鱼 E-mail:liyuxx8@hotmail.com

Vulnerability Assessment of Urban AtmosphericEnvironment under Influence of Human Activities

ZHANG Yang1, WANG Mo2, JIN Guohua2, SHEN Jing1, DING Feng3, LI Yu1   

  1. 1. Resources and Environmental Research Academy, North China Electric Power University, Beijing 102206, China; 2. Environmental Assessment Center of Jilin Province, Changchun 130022, China; 3. Appraisal Centre for Environmental and Engineering, Ministry of Environmental Protection of the People’sRepublic of China, Beijing 100012, China
  • Received:2017-01-12 Online:2017-07-26 Published:2017-07-13
  • Contact: LI Yu E-mail:liyuxx8@hotmail.com

摘要: 将脆弱性的概念引入区域性大气环境研究中, 在暴露-敏感性-适应能力的脆弱性研究框架(ESA framework)基础上, 将地球信息系统(GIS)、 多准则决策分析(MCDA)和有序加权平均(OWA)法相结合, 综合考虑人类活动、 大气环境和社会经济因素, 构建基于人类活动影响的大气环境脆弱性评价模型, 并以京津冀地区为例验证模型的实用性, 以探寻人类活动与城市大气环境脆弱性之间的关系.

关键词: 多准则决策分析, 大气环境, 人类活动, 脆弱性评价, 有序加权平均模型

Abstract: The concept of vulnerability was introduced into the study of regional atmospheric environment, on the basis of the framework of research on the vulnerability of exposuresensitivityadaptability,using combination method of geographic information system (GIS), multicriteria decision analysis (MCDA) and ordered weighted averaging (OWA) method, considering the human activities, atmospheric environment and socioeconomic factors. We constructed avulnerability assessment model of atmospheric environment based on the influence of human activities. We took BeijingTianjinHebei region as an example to explore the practicability of the model, and verified the relationship between human activities and vulnerability of urban atmospheric environment.

Key words: multicriteria decision analysis, atmospheric environment, human activity, vulnerability assessment, ordered weighted averaging model

中图分类号: 

  • X321