文章摘要
郁何敏,李焱,石振清,王玉军.1-site/2-pKa表面络合模型预测土壤中Cd2+的吸附及生物有效性[J].农业环境科学学报,2022,41(6):1211-1220.
1-site/2-pKa表面络合模型预测土壤中Cd2+的吸附及生物有效性
Predicting the adsorption and bioavailability of Cd2+ in soils using the 1-site/2-pKa surface complexation model
投稿时间:2022-03-25  修订日期:2022-04-25
DOI:10.11654/jaes.2022-0290
中文关键词: Cd  表面络合模型  吸附行为  表面络合常数  生物有效性
英文关键词: Cd  surface complexation model  adsorption behavior  surface complexation constant  bioavailability
基金项目:国家重点研发计划项目(2021YFC1809100)
作者单位E-mail
郁何敏 中国科学院土壤环境与污染修复重点实验室(南京土壤所), 南京 210008
中国科学院大学, 北京 100049 
 
李焱 中国科学院土壤环境与污染修复重点实验室(南京土壤所), 南京 210008
中国科学院大学, 北京 100049 
 
石振清 华南理工大学环境与能源学院, 广州 510006  
王玉军 中国科学院土壤环境与污染修复重点实验室(南京土壤所), 南京 210008
1. 中国科学院土壤环境与污染修复重点实验室(南京土壤所), 南京 210008 
yjwang@issas.ac.cn 
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中文摘要:
      土壤中重金属的生物有效性与其在土壤中的吸附行为密切相关,本研究选取我国9个不同类型的非石灰性土壤,探究了Cd2+在土壤中的吸附过程。通过电位滴定获得土壤表面酸碱性质(pKa1和pKa2),基于1-site/2-pKa模型,使用ECOSAT和FIT拟合得到土壤与Cd2+的络合常数(lg K (SOCd+),结果显示该模型能很好地描述Cd2+在土壤中的吸附过程。为了进一步探究土壤性质对Cd吸附固定的影响,通过逐步回归分析了pKa1、pKa2、lg K (SOCd+与土壤性质间的关系,发现土壤pH和CEC是pKa1的主控因子,土壤pH同时也是pKa2、lg K (SOCd+的主控因子。为了验证模型的可靠性,结合历史文献,基于土壤pH和CEC预测了历史文献中土壤表面酸碱性质和lg K (SOCd+,利用得到的参数预测了Cd的吸附过程,发现预测值与实测值之间有很好的相关性,该模型能解释86%的变异。此外,利用回归模型得到的结合常数预测了历史文献中土壤溶液中的Cd含量,发现模型预测的Cd含量与蚯蚓体内Cd含量同样具有很好的相关性,能解释83%的变异。本研究基于Cd2+在不同性质土壤中的吸附行为,使用广义复合法建立的表面络合模型可以描述Cd2+在非石灰性土壤中的吸附与分配过程。
英文摘要:
      The bioavailability of heavy metals in soil is closely related to their adsorption behavior. In this study, nine different noncalcareous soils in China were selected to explore the adsorption process of Cd2+. The surface acid-base properties(pKa1 and pKa2)of the soil were obtained by potentiometric titration. Based on the 1-site/2-pKa model, the complexation constant(lg K(SOCd+))of Cd2+ was obtained by ECOSAT and FIT. The results showed that this model could well describe the adsorption process of Cd2+ in soils. To further explore the influence of soil properties on Cd2+ adsorption, the relationship between pKa1, pKa2, lg K(SOCd+) and soil properties was analyzed using stepwise regression. Soil pH and CEC were the main controlling factors of pKa1, and soil pH was also the main controlling factor of pKa2 and lg K(SOCd+).To verify model reliability, data from the historical literatures was selected to predict the soil surface acid-base properties and lg K(SOCd+) based on soil pH and CEC, and the Cd adsorption process was predicted using the predicted parameters. The predicted values were found to have a good correlation with the measured values, and the model explained 86% of the variation. In addition, the established binding constants were used to predict the concentration of Cd in soil solutions from historical literatures and the concentration of Cd predicted by the model was found to be well correlated with the content of Cd in earthworms, explaining 83% of the variation. In this study, based on the adsorption behavior of Cd2+ in soils with different properties, the generalized complex method was used to establish a surface complexation model to describe the adsorption and distribution process of Cd2+ in non-calcareous soils, thereby providing theoretical support for regional soil heavy metal environmental risk prediction.
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