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粤北大宝山高含硫多金属矿污染的水稻土壤污染元素的多元分析
引用本文:李永涛 张池 刘科学 ThierryBECQUER CécileQUANTIN MarcBENEDETI PatrickLAVELLE 戴军.粤北大宝山高含硫多金属矿污染的水稻土壤污染元素的多元分析[J].华南农业大学学报,2005,26(2):22-25,34.
作者姓名:李永涛  张池  刘科学  ThierryBECQUER  CécileQUANTIN  MarcBENEDETI  PatrickLAVELLE  戴军
作者单位:华南农业大学,资源环境学院, 广东,广州,510642;Biodiversité et Fonctionnement des Sols, IRD,France;Université Paris Sud XI FRE OrsayTerre 2566, France;Lab de Géochimie et Métallogénie / Université Pierre et Marie Curie, France
基金项目:广东省自然科学基金资助项目 (0 32 2 5 5 ),中法先进研究计划项目 (PRAE0 3 2 ),华南农业大学校长基金,新学科扶持基金资助项目 (42 0 0 K0 32 2 6 )
摘    要:调查了粤北大宝山高含硫多金属矿长期污染的水稻田的污染状况,用主成分分析法分析了环境变量问的关系及污染物在样点的空间分布.结果表明:长期的污灌导致了被调查水田土壤中铁矿、硫铜矿和铅锌矿酸性矿泥的沉积,引起土壤酸化和硫、铜、铅和镉的积累.上述污染元素与pH及矿质元素铁、钙之间高度相关,而与锰和铬的相关性差.上游土壤的污染程度显著高于下游.

关 键 词:重金属  污染  水稻土  主成分分析
文章编号:1001-411X(2005)02-0022-04

Multivariate analysis of contaminants in paddy soils polluted by Dabaoshan sulfur-polymetallic mines in the north of Guangdong
LI Yong-tao,ZHANG Chi,LIU Ke-xue,Thierry BECQUER,Cécile QUANTIN,Marc BENEDETTI,Patrick LAVELLE,DAI Jun.Multivariate analysis of contaminants in paddy soils polluted by Dabaoshan sulfur-polymetallic mines in the north of Guangdong[J].Journal of South China Agricultural University,2005,26(2):22-25,34.
Authors:LI Yong-tao  ZHANG Chi  LIU Ke-xue  Thierry BECQUER  Cécile QUANTIN  Marc BENEDETTI  Patrick LAVELLE  DAI Jun
Abstract:Soil samples were collected to investigate contamination degree in paddy soils polluted by Dabaoshan sulfur-polymetallic mines in the north of Guangdong Province. Principal component analysis (PCA) was employed to characterize the relationship among environmental variables and determine spatial distribution of contaminants. The results demonstrated that long-term wastewater irrigation resulted in depositing of wastes of limonites, copper pyrites and Pb-Zn mines in studied paddy soils, which induced soil acidification and accumulation of sulfur, copper, lead and cadmium. These contaminants were significantly correlated with iron and calcium, while were poorly correlated with manganese and chromium. Moreover, elevated contamination trend was revealed in the paddy soils with approaching the contamination sources. PCA was suggested to be an efficient multivariate analysis method of multiple soil contamination.
Keywords:trace metals  contamination  paddy soil  principal component analysis
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