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The remediation variables that were varied were the injection and extraction rate, the injection and extraction duration, and the surfactant injection concentrations.
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In addition, the review presents detailed theoretical aspects, design and operational considerations of electrokinetic soil-remediation variables, which are most important in efficient process application, as well as the advantages over other technologies and obstacles to overcome.
Multivariate design and analysis was applied for assessing the efficiency of electrodialytic remediation treatment and variable importance varied for each of the studied metals.
An experimental design technique was used to investigate the effect of relevant process variables on remediation efficiency.
Modeling is useful in predicting effects of human actions, the success of environmental remediation, or specific ecosystem variables of economic interest such as fish production.
Based on the developed surrogate models, the Sobol′ method was used to calculate the sensitivity indices of the design variables which affect the remediation efficiency.
Sobol′ sensitivity analysis results demonstrated that the remediation duration was the most important variable influencing remediation efficiency, followed by rates of injection at wells 1 and 3, while rates of injection at wells 2 and 4 and the surfactant concentration had negligible influence on remediation efficiency.
Radiation accidents and incidents accompanied by radioactivity release into the environment are variable, thereby requiring distinct remediation actions.
Doubts about mold threats, uncertainty over who should be responsible for problems that may arise, and variable guidance on appropriate remediation continue to play a role in political responses to mold concerns.
Four major clusters had been formed in the PCA plot which suggests that there are four major physico-chemical variables that could significantly affect the remediation of DWW.
By employing m1ultivariate modelling and investigating additional experimental variables, the relative importance of variables effecting remediation was determined and response surfaces for heavy metal removal were calculated.
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