Modelling Arsenic Removal from Groundwater with Grey Relational Analysis

1. Introduction

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.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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