基于傅里叶红外光谱的钢渣微粉修复重金属污染土壤效果软测量模型

发布时间：2019-02-11 13:14

【摘要】：以转炉钢渣作为固化稳定化药剂,采用toxicity characteristic leaching procedure(TCLP)方法与傅里叶红外光谱跟踪检测钢渣微粉对重金属土壤修复效果,以及混合物(钢渣微粉与重金属污染土壤)的微观结构。建立基于高斯过程回归的钢渣微粉对重金属污染土壤修复效果软测量模型。结果表明,钢渣微粉对重金属污染土壤具有较好的修复效果,180 d内修复效果均保持在90%以上;修复过程分为前期、中期与后期,其中前期(1~3 d)环境碱性较高,修复方式以离子交换为主,中期(7~42 d)离子交换作用减弱和凝胶固化作用增强,后期(56~180 d)形成大量C-S-H凝胶,凝胶固化作用进一步增强;基于高斯过程回归的钢渣微粉对重金属污染土壤修复效果软测量模型的真实值与预测值数据吻合较好,绝对误差为-1.35~-0.48,相对误差为-1.448%~-0.497%。
[Abstract]:Using converter steel slag as stabilizer, toxicity characteristic leaching procedure (TCLP) method and Fourier transform infrared spectroscopy (FTIR) were used to detect the remediation effect of steel slag micro-powder on heavy metal soil. And the microstructure of the mixture (steel slag powder and heavy metal contaminated soil). Based on Gao Si process regression, a soft sensor model for heavy metal contaminated soil remediation of steel slag powder was established. The results showed that the steel slag powder had a good remediation effect on heavy metal contaminated soil, and the remediation effect was above 90% within 180 days. The repair process was divided into three stages: early stage (1 ~ 3 d) and later stage, in which the environmental alkalinity was relatively high in the early stage (1 ~ 3 d), ion exchange was dominant, ion exchange was weakened and gel solidification was enhanced in the middle period (7 ~ 42 d). A large number of C-S-H gels were formed in the later stage (56180d), and the solidification effect was further enhanced. The true value of the soft sensor model based on Gao Si process regression for heavy metal contaminated soil remediation effect is in good agreement with the predicted data. The absolute error is -1.35 ~ 0.48, and the relative error is -1.448 ~ -0.497.
【作者单位】：西安建筑科技大学材料与矿资学院;中冶宝钢技术服务有限公司;
【基金】：国家自然科学基金项目(50872105)资助
【分类号】：X53

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