Modelling Arsenic Removal from Groundwater with Grey Relational Analysis
Ngozi Hossain
Corresponding
Korea Advanced Institute of Science and Technology
Abstract
Tightening regulations on wind energy farms have prompted a re-examination of established practice for arsenic removal from groundwater. Data gathered over a period of several months from wind energy farms were processed and analysed using grey relational analysis. A payback period of roughly 7 years was estimated for the proposed installation. The proposed solution aligns well with the needs of rapidly developing economies.
Keywords:
arsenic removal from groundwatergrey relational analysisface detectionphotocatalysis
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