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主成分分析在大棚土壤重金属元素区域分异特征的应用 被引量:4

Application of principle component analysis method in the heavy metals regional different lation in greenhouse soils of Yunnan province
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摘要 以云南省设施栽培面积最大的6个片区的设施土壤为研究对象,运用主成分分析方法对大棚土壤重金属元素进行区域分异特征的研究。结果表明:按照主成分分析方法,云南设施土壤将被划为两大片区高亲硫元素区和高铁族元素区。按照地域区划,昆明地区的官渡、呈贡、红河属于高铁族元素区;保山、曲靖、玉溪属于高亲硫元素区。相关分析表明:1)铁族元素间的相关关系达到极显著水平;2)亲硫元素的相关关系不如铁族元素,各种元素间的相关关系只达到显著水平;3)亲硫元素与铁族元素之间呈正相关,但未达到显著水平;4)Cd与亲硫元素、铁族元素均达到显著相关水平,但与亲硫元素中达到极显著水平的占总量的33%,而与铁族元素均达到极显著相关;5)Hg与大多数元素之间一般为负相关关系。 Cultivation in greenhouse has become one important cropping system in Yunnan province. The accumulation of heavy metal caused by different fertilization may affect the soil ecosystem in greenhouse. This paper investigated the heavy metals contents of soil surface horizon and studied their rigional different lation useing principle component analysis method in greenhouse from six major areas in Yunnan Province. Results showed as follows: According to the principal component analyses,the study area was divided into two groups: Yuxi,Qujing and Baoshan areas belonged to the first group,in which the heavy meatals were sulphurphile group. And Chenggong county,Guandu county and Honghe district belonged to the second,where the heavy meatals were iron group. Correlation analyses indicated that there were significant positive correlations among the elements of iron group and the elements of closing to sulphur group. The correlation elements of iron group were more significant than those among the latter. There were positive correlation between the elements of iron group and the elements of closing to sulphur group. There was significant correlation between Cd and sulphurphile group,and 33% of them was highly significant. There was highly significant correlation between Cd and iron group. The correlation between Hg and the other elements was negative.
出处 《中国土壤与肥料》 CAS CSCD 北大核心 2016年第4期65-69,共5页 Soil and Fertilizer Sciences in China
基金 云南省应用基础研究计划项目(2013FB043) 国家自然科学基金(41301349) 2015HC018科技创新人才计划
关键词 大棚土壤 主成分分析 重金属 区域分异 greenhouse soils principle component analysis method heavy metal regional differentiation
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