| 安徽庐江县砖桥潜在富硒土壤重金属元素空间变异与来源 |
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| 引用本文： | 张敬雅,李湘凌,章凌曦,杨奎,张千明,王延明.安徽庐江县砖桥潜在富硒土壤重金属元素空间变异与来源[J].环境科学研究,2019,32(9):1594-1603. |
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| 作者姓名： | 张敬雅 李湘凌 章凌曦 杨奎 张千明 王延明 |
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| 作者单位： | 合肥工业大学资源与环境工程学院,安徽合肥,230009;合肥工业大学资源与环境工程学院,安徽合肥230009;安徽省矿产资源与矿山环境工程技术研究中心,安徽合肥230009;安徽省地质矿产勘查局327地质队,安徽合肥,230011 |
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| 基金项目： | 安徽省公益性地质工作项目（No.2016-g-2-2） |
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| 摘 要： | 为查明安徽省庐江县砖桥村周边潜在富硒区土壤中重金属及Se元素的空间分布特点及来源，采集该区域范围内430个表层（0~20 cm）土壤样品，测定土壤中w（OM）、w（TN）、w（TP）、w（K2O）、w（TS）、w（TFe2O3）、w（As）、w（Cd）、w（Cr）、w（Cu）、w（Hg）、w（Pb）、w（Ni）、w（Se）和w（Zn），并运用GIS、地统计学和主成分分析等方法进行土壤重金属元素空间变异特性与来源分析.结果表明:研究区土壤中w（Cr）、w（Ni）均低于GB 15618-2018《土壤环境质量农用地土壤污染风险管控标准（试行）》中的土壤污染风险筛选值，只有1个采样点的w（As）、w（Hg）和极少数采样点的w（Cd）、w（Pb）、w（Zn）以及部分采样点的w（Cu）超过GB 15618-2018土壤污染风险筛选值，但农产品不存在Cu污染风险.土壤重金属和Se的质量分数的变异系数为0.23~0.80，属中等程度变异.土壤中w（Cr）与w（Ni），w（As）与w（Se），w（Cu）与w（Pb）、w（Zn）、w（Hg）、w（Cd）的空间分布特征相似，w（Zn）、w（Se）、w（Cu）、w（Cr）、w（Ni）的空间自相关性均较强，w（Pb）、w（As）、w（Hg）、w（Cd）的空间自相关性均处于中等水平，提取的5个主成分累计方差贡献率为71.677%.土壤中Se主要来源于富硒岩矿石，Cu、Zn主要来源于地质背景（矿脉发育），Cr、Ni主要来源于成土母质，Pb、Cd、Hg主要受到地质背景和农业活动的共同影响，As受到富硒岩矿石和农业活动的共同影响.研究显示，综合土壤元素含量、变异强度、空间自相关及其提取的主成分，能有效识别成土母质、地质背景及农业活动等对农田土壤中重金属的影响；研究区内富硒岩矿石可持续为区域土壤提供Se源，土壤质量可满足地方发展特色富硒农业的要求.
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| 关 键 词： | 土壤 重金属 硒(Se) 空间变异 来源 庐江县 |
| 收稿时间： | 2018/12/6 0:00:00 |
| 修稿时间： | 2019/3/13 0:00:00 |
Spatial Variations and Source Apportionment of Heavy Metals in Potential Selenium-Enriched Soils in Zhuanqiao Village, Lujiang County, Anhui Province, China |
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| ZHANG Jingy,LI Xiangling,ZHANG Lingxi,YANG Kui,ZHANG Qianming and WANG Yanming.Spatial Variations and Source Apportionment of Heavy Metals in Potential Selenium-Enriched Soils in Zhuanqiao Village, Lujiang County, Anhui Province, China[J].Research of Environmental Sciences,2019,32(9):1594-1603. |
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| Authors: | ZHANG Jingy LI Xiangling ZHANG Lingxi YANG Kui ZHANG Qianming and WANG Yanming |
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| Affiliation: | 1.School of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009, China2.Anhui Province Engineering Research Center for Mineral Resources and Mine Environments, Hefei 230009, China3.No. 327 Geological Team, Bureau of Geology and Mineral Resources of Anhui Province, Hefei 230011, China |
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| Abstract: | In order to reveal the spatial distribution characteristics and source of heavy metals and Se in potential Se-enriched soils in Zhuanqiao Village, Lujiang County, we collected 430 samples of 0-20 cm top soil in the local and surrounding area. The concentrations of organic matter (OM), total nitrogen (TN), total phosphorus (TP), potassium oxide (K2O), total sulphur (TS), total ferric oxide (TFe2O3), arsenic (As), cadmium (Cd), chromium (Cr), copper (Cu), mercury (Hg), lead (Pb), nickel (Ni), selenium (Se) and zinc (Zn) in the soils were tested. Geographic information system (GIS), geostatistics and principal component analysis (PCA) were used to analyze the spatial variations and source apportionment of heavy metals. The results show that the heavy metal content varied from 0.23 to 0.80, which belonged to the moderate variability. The concentrations of Cr and Ni were lower than the national guideline values of Soil Environmental Quality Risk Control Standard for Soil Contamination of Agricultural Land (GB 15618-2018). However, Cu concentration in most soil samples were high. The same goes for Cd, Pb and Zn in a very few soil samples, and As and Hg in one sample. Copper contaminated soil did not lead to contamination of agricultural products. There was a similarity in spatial distribution between w(Cr) and w(Ni), w(As) and w(Se), as well as w(Cu) and other four elements (w(Pb), w(Zn), w(Hg) and w(Cd)) respectively. The ratio values of nugget to sill of heavy metal elements ranged from 0.168 to 0.637, where Zn, Se, Cu, Cr and Ni had a strong spatial autocorrelation, and Pb, As, Hg and Cd had a medium spatial autocorrelation. PC1 (Cr, Ni, K2O and TP), PC2 (OM, TN and TS), PC3 (Cu, TFe2O3 and Cd), PC4 (Pb, Zn and Hg) and PC5 (As and Se) were extracted by PCA method, with 71.677% of the variance being explained by variations in these values. Se in the soils came from selenium-rich rock. Cu and Zn were mainly related to the geological background (the development of veins), and Cr and Ni were derived from the parent material. Pb, Cd and Hg were affected by the geological background and agricultural activities, and As was affected by selenium-rich rock and agricultural activities. The results indicate that the effects of soil parent materials, the geological background and agricultural activities on heavy metals in farmland soil can be effectively identified by combining the content of soil elements, variation intensity, spatial autocorrelation and the extracted PC. The selenium-rich rock can provide Se source for the soil in this region, and the soil quality can meet the requirements of selenium-rich agriculture development. |
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| Keywords: | soil heavy metals selenium spatial variations apportionment Lujiang County |
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