| PeerJ | |
| Optimization of aeration enhanced surfactant soil washing for remediation of diesel-contaminated soils using response surface methodology | |
| article | |
| Befkadu Abayneh Ayele1  Jun Lu1  Quanyuan Chen1  | |
| [1] State Environmental Protection Engineering Center for Pollution Treatment and Control in Textile Industry, Donghua University;Department of Natural Resource Management, University of Gondar;Shanghai Institution of Pollution Control and Ecological Security | |
| 关键词: Diesel contaminated soil; Nonionic surfactant; Optimization; Air bubbles; RSM; Soil washing; Age of contamination; Soil texture; Organic matter; | |
| DOI : 10.7717/peerj.8578 | |
| 学科分类:社会科学、人文和艺术(综合) | |
| 来源: Inra | |
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【 摘 要 】
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 R2 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.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202307100008838ZK.pdf | 12230KB |
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