首页> 外文会议>The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)论文集 >A Study on the Marine Ecological Carrying Capacity in Qingdao Based on Principle Component Analysis and Entropy
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A Study on the Marine Ecological Carrying Capacity in Qingdao Based on Principle Component Analysis and Entropy

机译:基于主成分分析和熵权的青岛市海洋生态承载力研究

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Ocean exploitation continues to be a major international growth area. In term of achieving marine sustainable development it is, therefore, the marine ecological carrying capacity influenced by many factors, need to be analyzed, addressed and monitored. The concept and influencing factors of marine ecological carrying capacity were discussed, and a method based on principle component analysis (PCA) and entropy was proposed to quantitatively reveal the change of marine ecological carrying capacity in this paper. Taking Qingdao City as an example, three principal components were extracted from 10 influencing factors by PCA, whose weights were assigned by entropy method. The results show that the marine ecological carrying capacity in Qingdao decreased firstly and then increased from 1998 to 2005, and the value is smallest in 2000.The amount of marine fishery resources, social economic development level and environmental pollution treatment are the three main supporting factors, the economic development and environmental pollution are the two main pressure of marine ecological carrying capacity, which have decreased year by year.
机译:海洋开发仍然是主要的国际增长领域。因此,就实现海洋可持续发展而言,需要分析,处理和监测受许多因素影响的海洋生态承载力。讨论了海洋生态承载力的概念和影响因素,提出了一种基于主成分分析(PCA)和熵的方法,定量地揭示了海洋生态承载力的变化。以青岛市为例,通过PCA从10个影响因素中提取了3个主成分,并用熵权法对其权重进行了赋权。结果表明,从1998年到2005年,青岛市海洋生态承载力先下降后上升,2000年为最小。海洋渔业资源总量,社会经济发展水平和环境污染治理是三大支撑因素经济发展和环境污染是海洋生态承载力的两个主要压力,并且逐年下降。

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