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Dynamic assessment on regional eco-environmental quality using AHP-statistics model —A case study of Chaohu Lake Basin

机译:基于AHP统计模型的区域生态环境质量动态评价-以巢湖流域为例

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摘要

An indicator system closely connected with eco-environment, in which indicator involves in such fields as society, economy, resources, environment and ecology, is first proposed for eco-environmental quality assessment. Then, a hierarchical model with four levels is established by virtue of these indicators and attributes. In the model, weights of indicators and attributes are determined by combining Delphi method with the Analytic Hierarchy Process (AHP) and a statistic method is used to eliminate the influences arising from the differences in dimension and magnitude of indicators. On these grounds, an AHP-statistics model is provided for regional eco-environmental quality assessment. As a case, such AHP-statistics model is utilized in the dynamic analysis of regional eco-environmental assessment in Chaohu Lake basin. Study results show that natural environmental quality in the watershed was in the declining state while social environmental quality was in a markedly improved situation from 1996, and the synthetic eco-environmental quality was gradually and slowly improved under the common influences of both natural and social environmental factors. Example of application testified the capacities of above methodology to evaluate the real and dynamic state of regional eco-environmental quality.
机译:首先提出了与生态环境密切相关的指标体系,该指标体系涉及社会,经济,资源,环境和生态等领域,用于生态环境质量评价。然后,借助这些指标和属性建立具有四个级别的层次模型。在模型中,通过将德尔菲方法与层次分析法(AHP)相结合来确定指标和属性的权重,并使用统计方法消除因指标尺寸和大小差异而产生的影响。基于这些理由,为区域生态环境质量评估提供了AHP统计模型。以巢湖流域区域生态环境评价动态分析为例。研究结果表明,流域自然环境质量从1996年开始处于下降状态,社会环境质量明显改善,在自然环境和社会环境共同影响下,综合生态环境质量逐步提高。因素。应用实例证明了上述方法对区域生态环境质量真实和动态状态的评估能力。

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