Artificial Intelligence for mapping the spatial and temporal variation meteorological drought in the Aures, Algeria

dc.contributor.authorOkba MoussaouiI
dc.contributor.authorKhemissi Yahiaoui
dc.contributor.authorAli Hachemi
dc.date.accessioned2024-05-28T15:11:25Z
dc.date.available2024-05-28T15:11:25Z
dc.date.issued2023-12-11
dc.descriptionIntervention abstract
dc.description.abstractInsects are a readily available source of chitosan due to their high reproductive rates, ease of breeding, and resistance to changes in their ecosystem. This study aims to extract chitosan from some of the widespread insects: Pimelia fernandezlopezi (CS-PF), Blaps lethifera (CS-BL), and Musca domestica (CS-MD). The study was also extended to using the obtained chitosans in removing methylene blue dye (MB) from wastewater. The source of the chitosan, the initial concentration of MB dye, and reaction time were chosen as working parameters. The experiments were designed using Central Composite Design (CCD) based on the dye removal efficiency as the response variable. The experimental work and statistical calculation of the CCD show that the dye removal efficiency ranges from 35.9% to 88.7% for CS-BL, from 18.8% to 47.1% for CS-PF, and from 10.3% to 29.0% for CSMD at an initial MB concentration of 12.79 mg/L. The highest methylene blue dye removal efficiency is 88.7% for CS-BL at a reaction time of 120 min. This indicates that the extraction of chitosan from insects (Blaps lethifera) and their application in dye removal is a promising, environmentally friendly, economical, biodegradable, and cost-effective process. Furthermore, the CCD is a statistical experimental design technique that can be used to optimize process variables for removing other organic pollutants using chitosan
dc.identifier.citationOkba MoussaouiI, Khemissi Yahiaoui. Ali Hachemi. Artificial Intelligence for mapping the spatial and temporal variation meteorological drought in the Aures, Algeria. International Pluridsciplinary PhD Meeting IPPM 23. Faculty of technology. University of Eloued [visited in ../../…]. Available from[ Copy the link here]
dc.identifier.urihttps://dspace.univ-eloued.dz/handle/123456789/32765
dc.language.isoen
dc.publisherUniversity of Eloued
dc.subjectDesign Expert
dc.subjectdye removal efficiency
dc.subjectmethylene blue
dc.subjectCentral Composite Design
dc.subjectnatural adsorbents
dc.titleArtificial Intelligence for mapping the spatial and temporal variation meteorological drought in the Aures, Algeria
dc.typeIntervention

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