| 胡鑫,罗真华,谢会雅,周毅,晏哲,彭亮,曾清如.土壤性质对烟叶中铅、镉含量的影响及预测模型研究[J].农业环境科学学报,2016,35(3):449-454. |
| 土壤性质对烟叶中铅、镉含量的影响及预测模型研究 |
| Soil property effects on and prediction models of lead and cadmium concentrations in tobacco leaves |
| 投稿时间：2015-04-03 |
| DOI：10.11654/jaes.2016.03.006 |
| 中文关键词: 烟叶 铅 镉 土壤性质 预测 |
| 英文关键词: tobacco leaf lead cadmium soil properties prediction |
| 基金项目:湖南省株州市烟草公司资助项目"烟草产地重金属污染风险评估定量模型及控制技术的研究与示范"[SHZH(湘F)2013-006] |
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| 中文摘要: |
| 在湖南某植烟区采集代表性的土壤和烟叶样品112个,测定了土壤理化性质和样品的铅、镉含量,并通过相关性和回归分析来研究烟叶铅、镉含量与土壤因子关系。结果表明:研究区土壤Pb、Cd全量平均值为40.91、0.37 mg·kg-1,Pb、Cd有效态平均值分别为10.71、0.23 mg·kg-1,烟叶Pb、Cd含量分别为3.86、7.55 mg·kg-1;烟叶Pb、Cd的富集系数分别为0.094和19.84,对比富集系数可知,植烟区烟叶镉的健康风险要大于铅。相关性分析表明:烟叶中Pb与土壤Pb全量、Pb有效态含量呈正相关,与pH值呈负相关;烟叶Cd与土壤Cd全量、Cd有效态含量、有机质含量和氯离子量呈正相关,与pH值负相关。通过数据逐步回归得到的方程为lgYtobac-Pb=0.806lgXsoilPb-0.314pH-0.020(R2=0.499)、lgYtobac-Cd=0.877XsoilCd-0.302pH+0.465lgXOM+1.632(R2=0.561),回归方程对烟叶中Pb、Cd的预测达到极显著水平。 |
| 英文摘要: |
| Plant heavy metal content is greatly affected by soil properties. In this paper, 112 flue-cured tobacco leaf and corresponding soil samples were collected from typical tobacco growing areas in Hunan Province to analyze soil properties and plant lead and cadmium content. Correlationship between Pb and Cd content in tobacco leaves and soil properties were studied. Results showed that the average values of soil total Pb and Cd were 40.91 mg·kg-1 and 0.37 mg·kg-1 and those of soil available Pb and Cd 10.71 mg·kg-1 and 0.23 mg·kg-1, respectively. The average content of Pb and Cd in flue-cured tobacco leaves was respectively 3.86 mg·kg-1 and 7.55 mg·kg-1, with enrichment factor of 0.094 and 19.84. This indicated that cadmium had higher health risks than lead. Lead in tobacco was positively correlated with soil total and available Pb, but negatively correlated with soil pH. The content of Cd in tobacco was positively correlated with soil total and available Cd, organic matter, and chloride content, but negatively with soil pH. The optimal prediction models for Pb and Cd content in tobacco were lgYtobac-Pb=0.806lgXsoilPb-0.314pH-0.02(R2=0.499), and lgYtobac-Cd=0.877XsoilCd-0.302pH+0.465lgXOM+1.632(R2=0.561), with good prediction. |
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