Peer Review #1 of "Optimization of aeration enhanced surfactant soil washing for remediation of diesel-contaminated soils using response surface methodology (v0.1)"

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 preexperiment 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 (RSM) and Central composite design (CCD). 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 R 2 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. Abstract 18 Surfactant-enhanced soil washing has been used for remediation of organic pollutants for an extended period, but its 19 effectiveness and wide application was limited by the high concentration of surfactants utilized. In this work, the 20 efficiency of conventional soil washing performance was enhanced by 12-25% through the incorporation of air 21 bubbles into the low concentration surfactant soil washing system. Surfactant selection pre-experiment using aerated 22 and conventional soil washing reveals Brij 35 > TX100 > Tween 80 > Saponin in diesel oil removal. Optimization of 23 the effect of time, surfactant concentration, pH, agitation speed, and airflow rate in five levels were undertaken using 24 Response Surface Methodology (RSM) and Central composite design (CCD). The optimum degree of variables 25 achieved was 90 min of washing time, 370 mg/l of concentration, washing pH of 10, 535 rpm of agitation speed and 26 7.2 l/min of airflow rate with 79.5 % diesel removal. The high predicted R 2 value of 0.9517 showed that the model 27 could efficiently be used to predict diesel removal efficiency. The variation in efficiency of aeration assisted and 28 conventional soil washing was variable depending on the type of surfactant, organic matter content of the soil, particle 29 size distribution and level of pollutant weathering. The difference in removal efficiency of the two methods increases 30 when the level of organic matter increases and when the particle size and age of contamination decreases.