基于熵权与模糊数学的城市生态系统健康评价  

Assessment of Urban Ecosystem Health Based on Entropy Weight and Fuzzy Mathematical Method

作　　者：向柳[1] 

机构地区：[1]首都师范大学资源环境与旅游学院,北京100048

出　　处：《绿色科技》2015年第9期1-5,共5页Journal of Green Science and Technology

基　　金：国家"十二五"科技支撑计划课题(编号:2012BAC19B0305)资助

摘　　要：指出了城市生态系统健康评价能为服务城市生态系统管理提供决策依据。选择活力-组织结构-恢复力-服务功能-人群健康框架构建评价指标体系,运用熵权理论及模糊数学法对研究区进行了城市综合评价与分析比较。研究表明:熵权法与模糊综合评价法结合能有效避免评价指标主观性,结果清晰可靠;研究区总体城市生态系统处于亚健康水平,城市生态系统活力内生动力和支撑能力不足,结构不协调,人群健康水平偏低,而恢复力和服务功能良好;各城市健康水平城际、区际差异大,成都为首,巴中为尾,成都经济区优于川南地区,川东北地区最差,健康状况地域差异主要因素是由以活力为主的多种因素综合作用的结果。The assessment of urban ecosystem health can provide decision basis for urban ecosystem management. This paper build the evaluation indicator system by choosing the vigor, organization structure, resiliency, ecosystem service function and people health （VORSP） as indicators,then using the entropy theory and fuzzy mathematics method to make a comprehensive assessment and comparison of the study area. The results show that ： 1 ） The indicators are more objective and the results are distinct and reliable by combining the entropy weight method with the fuzzy mathematical method. 2） The general urban ecosystem of the study area is in the state of sub -health ：the vitality, endogenous moti- vation and supporting ability of the urban ecosystem is insufficient, the structure of it is not harmonious, and the health level of the residents is low. But the resilience and service function are fine. 3） The health condition of intercity and interregional have huge differences：Chengdu is the best and better than the south region of Siehuan, Bazhong is the worst as it is in the northeast region of Siehuan. These differences are the comprehensive result of many factors as the vitality is the main factor.

关 键 词：城市生态系统 健康评价 熵权 模糊数学法 空间比较 

分 类 号：X171.1[环境科学与工程—环境科学]