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A case study of FRAT-based Urban Ecosystem Health Assessment

机译:基于FRAT的城市生态系统健康评估案例研究

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摘要

As a measurement of the disorder degree of a system, fuzzy methods can measure the amount of useful information with the provided data and has been widely used in a range of applications. Given the interesting features of this method and world-wide used, it is quite surprising that the number of proper applications in regional ecological health assessment is limited. As a case study in Tianjin, China, the index system was set up by using the frame of pressure, status and response. The principal components method was set up by using the frame of pressure, and optimally combined with fuzzy assessment model to assess the ecosystem health of Tianjin. Results showed that the indicator system that we built links various factors and it's particularly useful to researchers when exploring ecological patterns or disentangling complex environmental management issues. Furthermore, considering the interactions is helpful to achieve a precise evaluation for regional ecological health. Finally, the output value by FRAT model showed that healthy degree of Tianjin ecosystem rises continuously from 2004 to 2008.
机译:作为对系统混乱程度的一种度量,模糊方法可以利用所提供的数据来度量有用信息的数量,并且已被广泛用于一系列应用中。鉴于这种方法的有趣特征并在全球范围内使用,令人惊讶的是,在区域生态健康评估中适当应用的数量受到限制。以中国天津为例,采用压力,状态和响应框架建立指标体系。利用压力框架建立主成分法,并与模糊评价模型进行优化组合,对天津市生态系统健康状况进行评价。结果表明,我们建立的指标体系将各种因素联系在一起,对于研究生态模式或解决复杂的环境管理问题时的研究人员特别有用。此外,考虑这些相互作用有助于对区域生态健康进行精确评估。最后,FRAT模型的产值表明,天津市生态系统的健康程度从2004年到2008年持续上升。

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