Application of the self-organizing map (SOM) to assess the heavy metal removal performance in experimental constructed wetlands
Lee, B and Scholz, M 2006, 'Application of the self-organizing map (SOM) to assess the heavy metal removal performance in experimental constructed wetlands' , Water Research, 40 (18) , pp. 3367-3374.
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The self-organizing map (SOM) model was applied to elucidate heavy metal removal mechanisms and to predict heavy metal concentrations in experimental constructed wetlands treating urban runoff. A newly developed SOM map showed that nickel in constructed wetland filters is likely to leach under high conductivity in combination with low pH in winter. In contrast, influent pH and conductivity were not shown to have clear relationships with copper (Cu) concentrations in the effluent, suggesting that the mobility of Cu was not considerably affected by salt increase during winter. The accuracy of prediction with SOM was highly satisfactory, suggesting heavy metals can be efficiently estimated by applying the SOM model with input variables such as conductivity, pH, temperature and redox potential, which can be monitored in real time. Moreover, domain understanding was not required to implement the SOM model for prediction of heavy metal removal efficiencies.
|Uncontrolled Keywords:||Constructed wetland, copper, correlation, nickel, road salting, self-organizing map|
|Themes:||Built and Human Environment|
|Schools:||Schools > School of the Built Environment
Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)
|Journal or Publication Title:||Water Research|
|Depositing User:||Users 47901 not found.|
|Date Deposited:||22 Aug 2011 11:32|
|Last Modified:||01 Dec 2015 00:00|
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