2008, Volume 10, Issue 7
Strategic Study of CAE >> 2008, Volume 10, Issue 7
Research of mine farmland heavy metal pollution assessment basedon synthetic principal component analysis model
1. College of Energy and Safety Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411201, China;
2. School of Resource and Safe Engineering, Central South University, Changsha 410083, China ;
3. Hunan Vocational Institute of Technology, Xiangtan, Hunan 411104, China
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Abstract
Referring to GB5618 — 1995 about heavy metal pollution,and using statistical analysis SPSS,the major pollutants of mine area farmland heavy metal pollution were identified by variable clustering analysis.Assessment and classification were done to the mine area farmland heavy metal pollution situation by synthetic principal components analysis (PCA) . The study result implied that variable clustering analysis is efficient to identify the principal components of mine area farmland heavy metal pollution.Sort and clustering were done to the synthetic principal components scores of soil sample, which is given by synthetic principal components analysis. In this paper, data structure of soil heavy metal contaminations, relationships and pollution level of different soil samples were discovered. The results of mine area farmland heavy metal pollution quality assessed and classified with synthetic component scores reflect the influence of both the major and compound heavy metal pollutants. Identification and assessment results of mine area farmland heavy metal pollution can provide reference and guide to propose control measures of mine area farmland heavy metal pollution and focus on the key treatment region.
Keywords
synthetic principal components analysis model ; mine region soils ; heavy metal pollution ; assessment
References
[ 1 ] 赵彦锋,史学正,于东升.工业型城乡交错区农业土壤Cu,Zn,Pb和Cd的空间分布及响因素研究[J].土壤学报,2007,44(2):227-234 link1
[ 2 ] Bloemen M L ,Markert B ,Lieth H .The distribution of Cd ,Cu ,Pb and Zn in top soils of Osnabrck in relation to land use[J] .The Science of the Total Environment ,1995 ,166 :137 - 148 link1
[ 3 ] 李娟娟,马金涛,楚秀娟.应用地积累指数法和富集因子法对铜矿区土壤重金属污染的安全评价[J].中国安全科学学报,2006,16(12):136-142 link1
[ 4 ] 高吉喜,段飞舟,香宝.主成分分析在农田土壤环境评价中的应用[J].地理研究,2006,25(5):836-842 link1
[ 5 ] 宋桂杰,田小娟.基于主成分分析法的房地产投资环境分析[J].扬州大学学报(自然科学版),2006,9(4):69-72 link1
[ 6 ] Polat K ,Güne樬 S .An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease [ J] .Digital Signal Processing ,2007 ,17 (4) :702 - 710 link1
[ 7 ] Ahn Hyunchul , Choi Eunsup , Han Ingoo . Extracting underlying meaningful features and canceling noise using independent component analysis for direct marketing [ J] .Expert Systems with Applications , 2007 ,33(1) :181 - 191 link1
[ 8 ] Tan M H ,Hammond J K .A non-parametric approach for linear system identification using principal component analysis [ J ] . Mechanical Systems and Signal Processing ,2007 ,21(4) :1576 - 1600 link1
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