Please wait a minute...
干旱区科学  2011, Vol. 3 Issue (4): 278-284    DOI: 10.3724/SP.J.1227.2011.00278
  学术论文 本期目录 | 过刊浏览 | 高级检索 |
Regional partitioning of agricultural non-point source pollution in China using a projection pursuit cluster model
XinHu LI1, ChengYi ZHAO1*, Bin WANG2, Garry FENG3
1 State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;
2 College of Water Conservancy and Building Engineering, Northeast Agricultural University, Harbin 100500, China;
3 Department of Biological Systems Engineering, Washington State University, Washington 99164-6120, USA
Regional partitioning of agricultural non-point source pollution in China using a projection pursuit cluster model
XinHu LI1, ChengYi ZHAO1*, Bin WANG2, Garry FENG3
1 State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;
2 College of Water Conservancy and Building Engineering, Northeast Agricultural University, Harbin 100500, China;
3 Department of Biological Systems Engineering, Washington State University, Washington 99164-6120, USA
下载:  PDF (441KB) 
输出:  BibTeX | EndNote (RIS)      
摘要 A projection pursuit cluster (PPC) model was used to analyze the regional partitioning of agricultural non-point source pollution in China. The environmental factors impacting the agricultural non-point source pollution were compiled into a projection index to set up the projection index function. A novel optimization algorithm called Free search (FS) was introduced to optimize the projection direction of the PPC model. By making the appropriate improvements as we explored the use of the algorithm, it became simpler, and developed better exploration abilities. Thus, the multi-factor problem was converted into a single-factor cluster, according to the projection, which successfully avoided subjective disturbance and produced objective results. The cluster results of the PPC model mirror the actual regional partitioning of the agricultural non-point source pollution in China, indicating that the PPC model is a powerful tool in multi-factor cluster analysis, and could be a new method for the regional partitioning of agricultural non-point source pollution.
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
XinHu LI
ChengYi ZHAO
Bin WANG
Garry FENG
关键词:  oasis stability  landscape scale  regional scale  the lower reaches of the Tarim River    
Abstract: A projection pursuit cluster (PPC) model was used to analyze the regional partitioning of agricultural non-point source pollution in China. The environmental factors impacting the agricultural non-point source pollution were compiled into a projection index to set up the projection index function. A novel optimization algorithm called Free search (FS) was introduced to optimize the projection direction of the PPC model. By making the appropriate improvements as we explored the use of the algorithm, it became simpler, and developed better exploration abilities. Thus, the multi-factor problem was converted into a single-factor cluster, according to the projection, which successfully avoided subjective disturbance and produced objective results. The cluster results of the PPC model mirror the actual regional partitioning of the agricultural non-point source pollution in China, indicating that the PPC model is a powerful tool in multi-factor cluster analysis, and could be a new method for the regional partitioning of agricultural non-point source pollution.
Key words:  oasis stability    landscape scale    regional scale    the lower reaches of the Tarim River
收稿日期:  2011-05-04      修回日期:  2011-06-28           出版日期:  2011-12-07      发布日期:  2011-09-06      期的出版日期:  2011-12-07
基金资助: 

The National Natural Science Foundation of China (40830640); the Plan for Innovation of Graduate Students of Jiangsu province (CX09B_168Z).

通讯作者:  ChengYi ZHAO    E-mail:  zcy@ms.xjb.ac.cn
引用本文:    
XinHu LI, ChengYi ZHAO, Bin WANG, Garry FENG. Regional partitioning of agricultural non-point source pollution in China using a projection pursuit cluster model[J]. 干旱区科学, 2011, 3(4): 278-284.
XinHu LI, ChengYi ZHAO, Bin WANG, Garry FENG. Regional partitioning of agricultural non-point source pollution in China using a projection pursuit cluster model. Journal of Arid Land, 2011, 3(4): 278-284.
链接本文:  
http://jal.xjegi.com/CN/10.3724/SP.J.1227.2011.00278  或          http://jal.xjegi.com/CN/Y2011/V3/I4/278
[1] Chao LENG, YaNing CHEN, XinGong LI, YanXia SUN. Evaluation of oasis stability in the lower reaches of the Tarim River[J]. 干旱区科学, 2011, 3(2): 123-131.
[2] GePing LUO, Lei LU, ChangYing YIN, YiXing FENG. An analysis of oasis stability in arid areas: a case study in the northern slope areas of the Tianshan Mountains[J]. 干旱区科学, 2009, 1(1): 49-56.
No Suggested Reading articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed