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
Multivariate analysis of contaminants in paddy soils polluted by Dabaoshan sulfur-polymetallic mines in the north of Guangdong
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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．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.
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Keywords:
- trace metals /
- contamination /
- paddy soil /
- principal component analysis
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