土壤重金属的竹基活性炭吸附及近红外光谱预测

刘洁, 董书岑, 张文博, 陆薇. 土壤重金属的竹基活性炭吸附及近红外光谱预测[J]. 环境工程学报, 2018, 12(10): 2855-2863. doi: 10.12030/j.cjee.201806023
引用本文: 刘洁, 董书岑, 张文博, 陆薇. 土壤重金属的竹基活性炭吸附及近红外光谱预测[J]. 环境工程学报, 2018, 12(10): 2855-2863. doi: 10.12030/j.cjee.201806023
LIU Jie, DONG Shucen, ZHANG Wenbo, LU Wei. Bamboo activated carbon adsorption and near infrared spectroscopy prediction of heavy metal in soil[J]. Chinese Journal of Environmental Engineering, 2018, 12(10): 2855-2863. doi: 10.12030/j.cjee.201806023
Citation: LIU Jie, DONG Shucen, ZHANG Wenbo, LU Wei. Bamboo activated carbon adsorption and near infrared spectroscopy prediction of heavy metal in soil[J]. Chinese Journal of Environmental Engineering, 2018, 12(10): 2855-2863. doi: 10.12030/j.cjee.201806023

土壤重金属的竹基活性炭吸附及近红外光谱预测

  • 基金项目:

    国家林业局948项目 (2014-4-04)

Bamboo activated carbon adsorption and near infrared spectroscopy prediction of heavy metal in soil

  • Fund Project:
  • 摘要: 为探究竹基活性炭对土壤的修复及改良效果,用水蒸气活化法制备出竹基活性炭,分析其孔结构特性,采用盆栽实验的方法,研究不同添加量(0%、10%、20%)的竹基活性炭对土壤性质、土壤重金属含量、植物株高和生物量以及植物地上和地下部分重金属含量的影响,研究发现随着竹基活性炭添加量的升高,土壤pH和有机质逐渐上升,且土壤中的重金属含量下降明显。其中,添加量高的竹基活性炭对土壤中的重金属Cu、Pb、Zn的去除率可达94.8%、82.1%、87.7%。添加竹基活性炭可增加百日草株高及生物量,其根和茎叶部分的重金属浓度有所降低,表明竹基活性炭吸附土壤重金属性能显著。同时,利用近红外光谱技术结合偏最小二乘法建立了不同竹基活性炭添加比例的土壤中的铜离子含量预测模型。该模型相关系数R2达到0.995 9,相对分析误差RPD大于10,模型相关性好,具有良好的预测性能。
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出版历程
  • 刊出日期:  2018-10-11

土壤重金属的竹基活性炭吸附及近红外光谱预测

  • 1. 北京师范大学环境学院, 北京100875
  • 2. 北京林业大学材料科学与技术学院,北京 100083
  • 3. 中国轻工业信息中心, 北京 100833
基金项目:

国家林业局948项目 (2014-4-04)

摘要: 为探究竹基活性炭对土壤的修复及改良效果,用水蒸气活化法制备出竹基活性炭,分析其孔结构特性,采用盆栽实验的方法,研究不同添加量(0%、10%、20%)的竹基活性炭对土壤性质、土壤重金属含量、植物株高和生物量以及植物地上和地下部分重金属含量的影响,研究发现随着竹基活性炭添加量的升高,土壤pH和有机质逐渐上升,且土壤中的重金属含量下降明显。其中,添加量高的竹基活性炭对土壤中的重金属Cu、Pb、Zn的去除率可达94.8%、82.1%、87.7%。添加竹基活性炭可增加百日草株高及生物量,其根和茎叶部分的重金属浓度有所降低,表明竹基活性炭吸附土壤重金属性能显著。同时,利用近红外光谱技术结合偏最小二乘法建立了不同竹基活性炭添加比例的土壤中的铜离子含量预测模型。该模型相关系数R2达到0.995 9,相对分析误差RPD大于10,模型相关性好,具有良好的预测性能。

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