| 刘慧琳,葛畅,沈强,黄元仿,张世文.铁矿废弃地复垦土壤重金属来源解析研究[J].农业环境科学学报,2019,38(2):317-324. |
| 铁矿废弃地复垦土壤重金属来源解析研究 |
| Source apportionment of heavy metals in reclaimed soil of iron mine wasteland |
| 投稿时间：2018-04-16 修订日期：2018-07-09 |
| DOI：10.11654/jaes.2018-0499 |
| 中文关键词: 铁矿废弃地 复垦土壤 重金属 源解析 |
| 英文关键词: iron mine wasteland reclaimed soil heavy metals source apportionment |
| 基金项目:国家自然科学基金项目（41471186） |
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| 摘要点击次数: 1907 |
| 全文下载次数: 1816 |
| 中文摘要: |
| 为探明铁矿废弃地复垦土壤重金属含量特征及其主要来源，以铁矿废弃地复垦土壤为研究对象，采用多元统计分析和地统计学方法，对复垦土壤重金属（As、Cd、Cr、Cu、Hg、Zn）的主要来源、各来源的贡献量及其贡献量的空间分布特征进行研究。结果表明：研究区6种重金属变异系数在31%~67%，均属中等程度变异。对比当地背景值，除Cr外，其他5种元素均呈现富集现象，且以As、Cu累积明显。由相关性分析、主成分分析及聚类分析结果推测复垦土壤重金属主要有3个来源，PC1（As、Hg、Cu）为矿业活动源，PC2（Cd、Zn）为交通和农业活动源，PC3（Cr）为成土母质自然源。由主成分分析/绝对主成分分数（PCA/APCS受体模型）和地统计分析可知，几种元素受3种源共同作用，其中源1对As、Hg、Cu的贡献率分别为67.10%、46.30%、89.82%，源2对Cd、Zn的贡献率为86.05%、62.26%，而源3对Cr的贡献率为90.56%。Cu、Cd、Cr元素空间分布规律和其最大源贡献量空间分布格局较为一致。 |
| 英文摘要: |
| This study assesses the characteristics and main sources of heavy metals in soil reclaimed from iron mine wasteland. The pollution sources of heavy metals (As, Cd, Cr, Cu, Hg, and Zn), the percentage of contribution of every source for every element, and the spatial distribution characteristics in reclaimed soil were analyzed by combined multivariate statistical analysis and geostatistics. The results showed that the variation coefficient of the above-mentioned six heavy metals in the study area ranged from 31%~67%. In contrast to the local background value, except for Cr, all the elements were enriched, and the accumulation of As and Cu was obvious. There were three main sources of heavy metals in the reclaimed soil as per the correlation analysis, principal component analysis, and cluster analysis. PC1 (As, Hg, Cu) was derived from mine exploitation. PC2 (Cd, Zn)was derived from agricultural and transportation activities, and PC3 was derived from the soil parent material. The PCA/APCS receptor model and geostatistical analyses indicated that the heavy metals in the soils were derived from three sources. The contribution rate of source 1 to As, Hg, and Cu was 67.10%, 46.30%, and 89.82% respectively. The contribution rate of source 2 to Cd and Zn was 86.05% and 62.26% respectively, while the contribution rate of source 3 to Cr was 90.56%. The spatial distribution patterns of Cu, Cd, and Cr were consistent with the spatial distribution pattern of the maximum source contribution. |
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