| 制约钝化剂对紫色土砷和镉污染修复效果的土壤性质因素分析 |
| 摘要点击 1014 全文点击 122 投稿时间：2024-02-21 修订日期：2024-04-25 |
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| 中文关键词 土壤钝化剂 砷（As） 镉（Cd） 土壤理化性质 钝化效率 |
| 英文关键词 soil passivators arsenic（As） cadmium（Cd） soil physical and chemical properties passivation efficiency |
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| 中文摘要 |
| 钝化剂对Cd和As的钝化效果与土壤性质关系密切,优选适配土壤性质的钝化剂是钝化技术应用的关键基础. 以8种性质差异较大的紫色土为供试土壤,采用室内培养实验,设置不同的污染条件,同步比较了7种常见钝化剂对镉（Cd）和砷（As）的钝化率,结合土壤理化性质测定,探讨了钝化效率与土壤性质之间的关系. 结果表明,供试7种常见钝化剂中,氧化钙、有机肥、硅钙镁肥、腐植酸以及羟基磷灰石对于紫色土Cd具有显著钝化效果；三氧化二铁、硅钙镁肥、羟基磷灰石和腐植酸对于As具有钝化效果,仅有硅钙镁肥、羟基磷灰石和腐植酸这3种钝化剂对于Cd和As同时具有钝化效果. 决定特定钝化剂钝化效率的关键土壤性质因子存在很大差异：土壤有机质、黏粒含量和全钾与供试钝化剂对土壤Cd的钝化率呈显著正相关；土壤pH、游离氧化铁、游离氧化锰和全磷与之呈显著负相关；土壤CEC,游离氧化锰和土壤全As与供试钝化剂对As的钝化率呈显著正相关；土壤黏粒含量与之呈显著负相关. 研究建立了钝化剂Cd和As钝化效率与紫色土土壤性质和污染特征的最优多元线性回归模型,模型定量反映了重金属钝化效率与土壤性质的关系,可据此预测和优选适配不同土壤性质的高效钝化剂,为区域受污染耕地安全利用提供科学依据. |
| 英文摘要 |
| The effect of passivating agents on Cd and As is closely related to soil properties. Optimizing passivating agents that adapt to soil properties is the key basis for the application of passivation technology. This study uses eight types of purple soils with widely different properties as test soils, uses indoor culture experiments, sets different pollution conditions, and simultaneously compares the passivation rates of cadmium （Cd） and arsenic （As） by seven common passivators. Additionally, combined with the measurement of soil physical and chemical properties, the relationship between passivation efficiency and soil properties was explored. The results showed that among the seven common passivators tested, calcium oxide, organic fertilizer, silicon calcium magnesium fertilizer, humic acid, and hydroxyapatite had a significant passivation effect on purple soil Cd, and iron oxide, silicon calcium magnesium fertilizer, hydroxyapatite, and humic acid had a passivating effect on As. Only three passivating agents, calcium silicon magnesium fertilizer, hydroxyapatite, and humic acid, had a passivating effect on both Cd and As. Great differences exist in the key soil property factors that determined the passivation efficiency of specific passivators： soil organic matter, clay content, and total potassium were significantly positively correlated with the passivation rate of soil Cd by the tested passivators； soil pH, free iron oxide, free manganese oxide, and total phosphorus were significantly negatively correlated with them； soil CEC, free manganese oxide, and soil total As were significantly positively correlated with the As passivation rate of the tested passivators； and the content of soil clay particles was significantly negatively correlated with it. The study established the optimal multiple linear regression model between the passivation efficiency of passivating agents Cd and As and the soil properties and pollution characteristics of purple soil. The model quantitatively reflects the relationship between the passivation efficiency of heavy metals and soil properties and can be used to predict and optimize adaptation accordingly. Highly efficient passivators with different soil properties provide a scientific basis for the safe use of regionally contaminated farmland. |
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