Arleth Mendoza
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Arleth Mendoza has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Edwin Pino-Vargas
Department of Civil Engineering, Jorge Basadre Grohmann National University, Tacna 23000, Peru
1 shared publication - Eusebio Ingol-Blanco
Department of Civil Engineering, New Mexico State University, Las Cruces, NM 88003, USA
1 shared publication - German Huayna
Master’s Program in Water Resources, Jorge Basadre Grohmann National University, Tacna 23000, Peru
1 shared publication - Pablo Franco-León
Laboratory of Ecological Processes, Research Group of Arid Zones, Deserts and Climate Change (ADERIZA), Jorge Basadre Grohmann National University, Tacna 23000, Peru
1 shared publication - Samuel Chucuya
Department of Civil Engineering, Jorge Basadre Grohmann National University, Tacna 23000, Peru
1 shared publication - Víctor Pocco
Department of Geology-Geotechnics, Jorge Basadre Grohmann National University, Tacna 23000, Peru
1 shared publication
Latest Publications
- Open Access
Assessment of Potential Aquifer Recharge Zones in the Locumba Basin, Arid Region of the Atacama Desert Using Integration of Two MCDM Methods: Fuzzy AHP and TOPSIS
Natural aquifers used for human consumption are among the most important resources in the world. The Locumba basin faces significant challenges due to its limited water availability for the local population. In this way, the search for possible aquifer recharge zones is crucial work for urban development in areas that have water scarcity. To evaluate this problem, this research proposes the use of the hybrid Fuzzy AHP methodology in conjunction with the TOPSIS algorithm to obtain a potential aquifer recharge map. Ten factors that influence productivity and capacity in an aquifer were implemented, which were subjected to Fuzzy AHP to obtain their weighting. Using the TOPSIS algorithm, the delineation of the most favorable areas with high recharge potential was established. The result shows that the most influential factors for recharge are precipitation, permeability, and slopes, which obtained the highest weights of 0.22, 0.19, and 0.17, respectively. In parallel, the TOPSIS result highlights the potential recharge zones distributed in the Locumba basin, which were classified into five categories: very high (13%), high (28%), moderate (15%), low (28%), and very low (16%). The adapted methodology in this research seeks to be the first step toward effective water resource management in the study area.
Open AccessAssessment of Potential Aquifer Recharge Zones in the Locumba Basin, Arid Region of the Atacama Desert Using Integration of Two MCDM Methods: Fuzzy AHP and TOPSIS
Natural aquifers used for human consumption are among the most important resources in the world. The Locumba basin faces significant challenges due to its limited water availability for the local population. In this way, the search for possible aquifer recharge zones is crucial work for urban development in areas that have water scarcity. To evaluate this problem, this research proposes the use of the hybrid Fuzzy AHP methodology in conjunction with the TOPSIS algorithm to obtain a potential aquifer recharge map. Ten factors that influence productivity and capacity in an aquifer were implemented, which were subjected to Fuzzy AHP to obtain their weighting. Using the TOPSIS algorithm, the delineation of the most favorable areas with high recharge potential was established. The result shows that the most influential factors for recharge are precipitation, permeability, and slopes, which obtained the highest weights of 0.22, 0.19, and 0.17, respectively. In parallel, the TOPSIS result highlights the potential recharge zones distributed in the Locumba basin, which were classified into five categories: very high (13%), high (28%), moderate (15%), low (28%), and very low (16%). The adapted methodology in this research seeks to be the first step toward effective water resource management in the study area.