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使用响应面法优化曝气强化表面活性剂土壤淋洗修复柴油污染土壤的工艺

Optimization of aeration enhanced surfactant soil washing for remediation of diesel-contaminated soils using response surface methodology.

作者信息

Ayele Befkadu Abayneh, Lu Jun, Chen Quanyuan

机构信息

State Environmental Protection Engineering Center for Pollution Treatment and Control in Textile Industry, Donghua University, Shanghai, P.R. China.

Department of Natural Resource Management, University of Gondar, Gondar, Ethiopia.

出版信息

PeerJ. 2020 Feb 13;8:e8578. doi: 10.7717/peerj.8578. eCollection 2020.

Abstract

Surfactant-enhanced soil washing has been used for remediation of organic pollutants for an extended period, but its effectiveness and wide application was limited by the high concentration of surfactants utilized. In this work, the efficiency of conventional soil washing performance was enhanced by 12-25% through the incorporation of air bubbles into the low concentration surfactant soil washing system. Surfactant selection pre-experiment using aerated and conventional soil washing reveals Brij 35 > TX100 > Tween 80 > Saponin in diesel oil removal. Optimization of the effect of time, surfactant concentration, pH, agitation speed, and airflow rate in five levels were undertaken using Response Surface Methodology and Central composite design. The optimum degree of variables achieved was 90 min of washing time, 370 mg/l of concentration, washing pH of 10,535 rpm of agitation speed and 7.2 l/min of airflow rate with 79.5% diesel removal. The high predicted value of 0.9517 showed that the model could efficiently be used to predict diesel removal efficiency. The variation in efficiency of aeration assisted and conventional soil washing was variable depending on the type of surfactant, organic matter content of the soil, particle size distribution and level of pollutant weathering. The difference in removal efficiency of the two methods increases when the level of organic matter increases and when the particle size and age of contamination decreases.

摘要

表面活性剂强化土壤淋洗已被用于有机污染物修复很长一段时间,但由于使用的表面活性剂浓度高,其有效性和广泛应用受到限制。在这项工作中,通过将气泡引入低浓度表面活性剂土壤淋洗系统,传统土壤淋洗性能的效率提高了12%-25%。使用曝气和传统土壤淋洗进行的表面活性剂选择预实验表明,在去除柴油方面,Brij 35 > TX100 > 吐温80 > 皂苷。采用响应面法和中心复合设计对时间、表面活性剂浓度、pH值、搅拌速度和气流速率五个水平的效果进行了优化。达到的最佳变量程度为:洗涤时间90分钟、浓度370毫克/升、洗涤pH值10、搅拌速度535转/分钟和气流速率7.2升/分钟,柴油去除率为79.5%。0.9517的高预测值表明该模型可有效用于预测柴油去除效率。曝气辅助和传统土壤淋洗效率的变化取决于表面活性剂的类型、土壤的有机质含量、粒径分布和污染物风化程度。当有机质含量增加以及粒径和污染时间减少时,两种方法的去除效率差异会增大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/756c/7024577/55cd3a427205/peerj-08-8578-g001.jpg

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