Calibration and Validation of a Two-Step Kinetic Mathematical Model for Predicting Cu Extraction Efficiency in an EDDS-Enhanced Soil Washing

  • Alberto Ferraro
  • Massimiliano Fabbricino
  • Eric D. van Hullebusch
  • Giovanni Esposito
Article

Abstract

The kinetic trend for Cu extraction from contaminated soil through ethylenediamine-N,N′-disuccinic acid (EDDS)-enhanced soil washing is investigated. Long-term tests are conducted over 96 h at five different values of EDDS-Cu (M) molar ratio (mol/mol) and five different values of liquid-to-soil (L/S) ratio (v/w). The overall Cu extraction efficiency at different M ratios ranges from ≃47 to ≃60 % as the ratio increases from stoichiometric values to EDDS excess (M = 50). An increase in the L/S ratio generally leads to the Cu extraction efficiency decrease, from ≃60 % (L/S = 5) to ≃49 % (L/S = 45). The highest decrease of Cu extraction yield is observed while increasing the L/S ratio from 5 to 15, with negligible differences occurring as the L/S ratio increases further. The collected data show a two-step kinetic tendency during the extraction process, first characterized by a fast extraction kinetic which is followed by a slow extraction step. Two sets of experimental data are used for calibration and validation of a two-step mathematical model used to simulate Cu mobilization efficiency as a function of treatment time and M ratio. The proposed model is a useful tool for Cu extraction efficiency prediction and can be applied to improve the decision-making process regarding the EDDS-enhanced soil washing approach.

Keywords

EDDS-enhanced soil washing Extraction efficiency prediction Cu contamination Two-step kinetic model Model validity assessment 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Alberto Ferraro
    • 1
    • 2
    • 3
  • Massimiliano Fabbricino
    • 2
  • Eric D. van Hullebusch
    • 3
  • Giovanni Esposito
    • 1
  1. 1.Department of Civil and Mechanical EngineeringUniversity of Cassino and Southern LazioCassinoItaly
  2. 2.Department of Civil, Architectural and Environmental EngineeringUniversity of Naples “Federico II”NaplesItaly
  3. 3.Laboratoire Géomatériaux et Environnement (EA 4508)Université Paris-Est, UPEMMarne-la-ValléeFrance

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