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
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article

Particle Swarm Intelligence (PSI): A Particle Decantation Algorithm Application in Borehole Water Treatment

Zenodo (CERN European Organization for Nuclear Research)
Hydrological Forecasting Using AI
article

Particle Swarm Intelligence (PSI): A Particle Decantation Algorithm Application in Borehole Water Treatment

article en

Abstract

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).

Zenodo (CERN European Organization for Nuclear Research)
Clean water and sanitation
Openalex Percentile: Top 55%
Hydrological Forecasting Using AI
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