Particle Swarm Intelligence (PSI): A Particle Decantation Algorithm Application in Borehole Water Treatment
The cost implication of high iron (III) content in borehole water for domestic use is a common problemglobally. Iron (III) is the major cause of the reddish colour in water which gives bad sight as it stains brightsurfaces, clothes etc., in homes and other places. For this reason, several methods to reduce it have beenproposed. This work employed the principles of particle swarm intelligence (PSI), specifically gravitationalsearch algorithm (GSA) with the idea of decantation of particles. This research work considered five main parameters in the water sample to ascertain the efficacy of theapplication of the algorithm which are; Colour, pH value, Electrical conductivity, iron (II) and iron (III).The final outcomes showed that the specific objective to reduce iron (III) (the reddish colour) was achieved.The iron (III) content in the water was reduced from 0.66 to less than 0.01 (mg/l), algorithm eliminated theiron (III) almost completely. Also, the colour value was reduced significantly from; 289.50 to 4.0 (Pt/Co).
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-10
- DOI
- https://doi.org/10.5281/zenodo.16788984
- Primary Topic
- Hydrological Forecasting Using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00