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  • 标题:RISK ASSESSMENT ON ECOSYSTEM BASED ON UNCERTAIN MEASUREMENT THEORY
  • 本地全文:下载
  • 作者:Jia Shao ; Qinli Zhang ; Xiuli Peng
  • 期刊名称:Fresenius Environmental Bulletin
  • 印刷版ISSN:1018-4619
  • 出版年度:2017
  • 卷号:26
  • 期号:4
  • 页码:2885-2894
  • 语种:English
  • 出版社:PSP Publishing
  • 摘要:Identifications and evaluations of ecological risk have very important significances for strengthening regional ecological disaster prevention and protecting the regional ecological security. In this paper, the assessment model of regional ecological risk was established based on the uncertain measurement theory. Sixteen evaluation indexes were selected as the discriminant ones of the uncertain measurement model. In addition, the uncertain measurement functions of each index were built up. Based on the statistical data, the uncertain measurement matrices of the single index were calculated. The information entropy theory was used to calculate the weight of each discriminate index, and then the uncertain measurement matrix of multiple indexes was also built up. Finally, the results of the risk assessment on regional ecosystem were achieved by introducing the rules of credible recognition criteria. The results of the case study show that this model can take various kinds of uncertain factors into consideration in the process of evaluation, and the assessment of regional ecological risk is more reasonable.
  • 关键词:Ecological risk;uncertain measurement;risk assessment;credible degree recognition criteria;information entropy
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