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Ecosystem health assessment of Chongqing City based on entropy and GM (1, 1) model |
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Abstract Entropy-comprehensive evaluation model was established to assess the health level of urban ecosystem in Chongqing, China, the coefficients of weight index were derived from the available value of data reflecting the information entropy. Based on the evaluation results and mathematical modeling theory, GM (1,1) grey prediction model was established to make dynamic trend analysis of ecological health in Chongqing City. The experimental results indicated that the overall level of urban ecosystem health was continuously improved from 2005 to 2009, the elements index arranged in order of evaluation value size were vigor index, resilience index, organization structure index, serviceability index and people living index. From these results and model, it could be concluded that the health level of Chongqing city ecosystem will rise continuously by the rate of e0.1268 during 2010 to 2015. GM (1,1) grey prediction model based on entropy-comprehensive evaluation could have an more objective and comprehensive assessment of urban ecosystem health.
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Received: 11 October 2011
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