A Fusion of Multi-Criteria Decision-Making for Select Recharge Structure
Walter Culque Toapanta1, Fausto Vizcaíno Naranjo1, Antonio Castillo Medina2
1Docente de la carrera de Software de la Universidad Regional Autónoma de los Andes (UNIANDES), Ecuador
2Docente de la carrera de Automotriz de la Universidad Regional Autónoma de los Andes (UNIANDES) Sede Santo Domingo, Ecuador
Emails: ua.walterculque@uniandes.edu.ec; ua.faustovizcaino@uniandes.edu.ec; ua.antoniocm83@uniandes.edu.ec
Abstract
Groundwater recharge is essential in establishing reliable groundwater supplies in a region. Groundwater is a vital natural water resource, but its quantity and quality may vary significantly from one area to another. Growing urbanization and population increase have put a significant demand on groundwater supplies. Using Multi-Criteria Decision-Making (MCDM), several studies have identified good areas for recharging groundwater supplies. To help choose between several types of artificial recharge (AR) structures, we have developed an MCDM approach for this research. We used an MCDM fusion methodology to combine various AR criteria with the alternatives. This study collected eight criteria and eight alternatives. We used the average method to compute the weights of the criteria. Then, we used the COCOSO method as an MCDM fusion method to rank the alternatives. The results show that hydrological conditions are the best criteria, and stakeholder engagement is the lowest weight. The sensitivity analysis is performed to show the stability of the results in this study.
Keywords: Multi-Criteria Decision Making; Data Fusion; Recharge Structure; COCOSO Method.