Paper Title:
Evaluation and Classification of Black Soil Structure Degradation in Jilin by Factor Analysis and Dynamic Clustering Analysis
  Abstract

The black soil in Jilin Province, famous for providing significant amount of commodity grain to entire China, had already begun to regress to disappear on different degrees. To study the structure degradation of black soil in Jilin Province, We used SPSS and matlab programming on data information processing, thirty indexes were chosen, factor analysis on twenty-three samples from different sites and depths in Jilin Province was carried out, and dynamic clustering analysis taking the score of main factor as the variable was performed in turn. Combining them together, as a result, then the degradation mechanism was evaluated and classified. The results showed that eight factors from thirty indexes were found as the principal factors by factor analysis. By dynamic clustering analysis, the areas where twenty-three samples came from could be classified into three types: high degradation, medium degradation and light degradation. Finally, the differences among index scores were analyzed respectively, and reasonable suggested measures to prevent the black soil degradation were stated.

  Info
Periodical
Advanced Materials Research (Volumes 301-303)
Chapter
Chapter 1: Material Science and Technology
Edited by
Riza Esa and Yanwen Wu
Pages
472-477
DOI
10.4028/www.scientific.net/AMR.301-303.472
Citation
C. C. Niu, Q. Wang, W. Zhang, K. Wang, Z. Guo, "Evaluation and Classification of Black Soil Structure Degradation in Jilin by Factor Analysis and Dynamic Clustering Analysis", Advanced Materials Research, Vols. 301-303, pp. 472-477, 2011
Online since
July 2011
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Price
$32.00
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