Remediation of oil-based drilling waste using the electrokinetic-Fenton method-Reference-Cited by-同舟云学术

Remediation of oil-based drilling waste using the electrokinetic-Fenton method

Published:2021-05 Issue: Volume:149 Page:432-441
ISSN:0957-5820
Container-title:Process Safety and Environmental Protection
language:en
Short-container-title:Process Safety and Environmental Protection

Author:

Adhami Sajjad,Jamshidi-Zanjani Ahmad,Darban Ahmad Khodadadi

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference56 articles.

1. Principles of electrokinetic remediation;Acar;Environ. Sci. Technol.,1993

2. Electrokinetic remediation: basics and technology status;Acar;J. Hazard. Mater.,1995

3. Removal of antibiotics from surface and distilled water in conventional water treatment processes removal of antibiotics from surface and distilled water in conventional water treatment processes;Adams;Environ. Eng.,2002

4. Standard test method for particle-size analysis of soils D 422-63;American Society for Testing and Materials;Annu. Book ASTM Stand. Sect. Water Environ. Technol.,1985

5. thermal remediation of tar contaminated soil;Anthony;Fuel,2006

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