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CO2-induced release of copper and zinc from model soil in water
International Journal of Greenhouse Gas Control ( IF 4.6 ) Pub Date : 2018-07-10 , DOI: 10.1016/j.ijggc.2018.07.003
Christos D. Tsakiroglou , Katerina Terzi , Christos Aggelopoulos , Maria Theodoropoulou

The eventual leakage of CO2 from storage sites into shallow aquifers may degrade the quality of potable groundwater, due to acidification caused by the intrusion of gas CO2. Experiments in continuous-stirred tank reactors (CSTRs) seems to be a fast and cost-effective way to quantify the kinetics of heavy metal release from soil material to groundwater. The goal of the present work is to evaluate the capability of a model to provide reliable values for the kinetic parameters of metal release from CSTR tests with reference to results from soil column and batch tests. Well-sorted silica sand is used as model soil with its composition being modified with the pH-controlled precipitation of Cu or Zn. Gas CO2 is dissolved in distilled water, and the carbonated water is fed at constant flow rate in a CSTR containing soil grains suspended in water. The concentration of dissolved metals in effluents is measured with atomic absorption spectroscopy (AAS). A dynamic mathematical model of the operation of CSTRs is developed by regarding the metal release as a pH-controlled two-site adsorption/desorption process. A sensitivity analysis is done, and the kinetic parameters of the sorption model are estimated, separately for each metal, with inverse modeling of the transient response of metal concentration in CSTR. In addition, the model validity is assessed by comparing the transient response of pH and redox potential with numerical predictions. In general, a significant uncertainty is embedded in estimated parameters of the 2-site sorption model. Compared to the corresponding kinetic parameter values estimated from soil column and batch tests, any differences should be interpreted in the light of the different experimental conditions and assumptions.



中文翻译:

CO 2诱导的模型土壤中铜和锌的释放

由于气体CO 2侵入引起的酸化作用,最终导致CO 2从存储地点泄漏到浅层含水层中,可能会降低饮用水的质量。在连续搅拌釜反应器(CSTR)中进行的实验似乎是一种快速,经济高效的方法,可以量化重金属从土壤物质释放到地下水的动力学。本工作的目的是评估模型的能力,以参考土壤柱和分批试验的结果为CSTR试验中的金属释放动力学参数提供可靠的值。使用分类良好的硅砂作为模型土壤,其组成随pH值控制的Cu或Zn沉淀而改变。气体CO 2将碳酸钙溶于蒸馏水,然后将碳酸水以恒定的流量送入含有悬浮在水中的土壤颗粒的CSTR中。废水中溶解金属的浓度通过原子吸收光谱法(AAS)进行测量。通过将金属释放视为pH值控制的两点吸附/解吸过程,开发了CSTR操作的动态数学模型。进行了灵敏度分析,并分别对每种金属进行了吸附模型的动力学参数估算,并采用了CSTR中金属浓度瞬态响应的逆模型。此外,通过将pH和氧化还原电势的瞬态响应与数值预测进行比较,可以评估模型的有效性。通常,在两点吸附模型的估计参数中嵌入了很大的不确定性。

更新日期:2018-07-10
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