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Chinese Agricultural Science Bulletin ›› 2017, Vol. 33 ›› Issue (33): 85-91.doi: 10.11924/j.issn.1000-6850.casb17070106

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Evaluation on Soil Fertility in Sewage Irrigation Area of Xiaodian in Taiyuan: Based on Principal Component Analysis and Hierarchical Cluster Analysis

  

  • Received:2017-07-20 Revised:2017-11-09 Accepted:2017-09-19 Online:2017-11-27 Published:2017-11-27

Abstract: To clarify soil fertility status of sewage irrigation area in Xiaodian District of Taiyuan, the authors adopted the methods of principal component analysis and hierarchical cluster analysis. The results showed that the contents of total phosphorus, available phosphorus and total nitrogen were abundant, and the contents of organic matter and alkali-hydrolyzable nitrogen were moderate, while the available potassium content was poor. Principal component analysis showed that 10 evaluation factors could be classified into four major components, with 80.24% of cumulative contribution rate. The first main component consisted of alkali hydrolyzable nitrogen, available phosphorus, available potassium, cation exchange capacity and organic matter; the second principal component contained conductivity and pH value; the third principal component was composed of total phosphorus and total nitrogen; and the fourth principal component was total potassium. The results could reflect soil fertility to certain extent. The 18 soil samples were classified into four levels by the hierarchical cluster analysis with the proportion of 5.6%, 61%, 27.8% and 5.6%, respectively. This method could make a relatively correct evaluation on soil fertility status, and provide a reference basis for rational fertilization of soil.

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