Projection pursuit cluster model and its application in water quality assessment
  • 【DOI】

    10.3321/j.issn:1001-0742.2004.06.025

  • 【摘要】

    One of the difficulties frequently encountered in water quality assessment is that there are many factors and they cannot be assessed according to one factor, all the effect factors associated with wa... 展开>>One of the difficulties frequently encountered in water quality assessment is that there are many factors and they cannot be assessed according to one factor, all the effect factors associated with water quality must be used. In order to overcome this issues the projection pursuit principle is introduced into water quality assessment, and projection pursuit cluster(PPC) model is developed in this study. The PPC model makes the transition from high dimension to one-dimension. In other words, based on the PPC model, multifactor problem can be converted to one factor problem. The application of PPC model can be divided into four parts: (1) to estimate projection index function ; (2) to find the right projection direction; (3) to calculate projection characteristic value of the sample , and (4) to draw comprehensive analysis on the basis of . On the other hand, the empirical formula of cutoff radius is developed, which is benefit for the model to be used in practice. Finally, a case study of water quality assessment is proposed in this paper. The results showed that the PPC model is reasonable, and it is more objective and less subjective in water quality assessment. It is a new method for multivariate problem comprehensive analysis. 收起<<

  • 【作者】

  • 【作者单位】

    School of Environment/School of Environment/School of Hydropower Engineering

  • 【刊期】

    环境科学学报(英文版) ISTIC SCI 2004年6期

  • 【关键词】

    projection pursuit  cluster  model  water quality assessment 

  • 【基金项目】

    国家重点基础研究发展计划(973计划) 国家自然科学基金 中国博士后科学基金