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Review and optimization of the operation of potable water supply sources: case of the Metropolitan Area of Monterrey

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Title: Review and optimization of the operation of potable water supply sources: case of the Metropolitan Area of Monterrey
Authors: Rico Moreno, Jose Francisco
Contributors: Ramirez Orozco. Aldo Ivan, School of Engineering and Sciences, Aguilar Barajas, Ismael, Mahlknecht, Jurgen, Barrios Piña, Héctor Alfonso, Campus Monterrey, emimmayorquin
Publisher Information: Instituto Tecnológico y de Estudios Superiores de Monterrey
Publication Year: 2025
Collection: Repositorio del Tecnologico de Monterrey
Subject Terms: INGENIERÍA Y TECNOLOGÍA::CIENCIAS TECNOLÓGICAS::INGENIERÍA Y TECNOLOGÍA DEL MEDIO AMBIENTE::OTRAS, Science, Multiobjective optimization, Compromise programming, Particle Swarm Optimization, Simulation-optimization model, Área Metropolitana de Monterrey, Water management, Urban water resources
Description: orcid:0000-0001-8148-6820 ; A simulation-optimization model was developed in R to simulate the hydrological ; cycle of the dams that are the main sources of surface water. This was ; complemented by forecast information of climatological variables and the demand ; of the Metropolitan Area of Monterrey (MAM). The model simulated scenarios that ; were based on the extraction infrastructure and sustainable operation of the sources, ; using the Particle Swarm Optimization algorithm to minimize an objective function ; that aimed to lower the extraction operation costs and ensure continuous water ; supply. ; To simulate precipitation and runoff from the contribution basins, historical data on ; the dam regime of the studied vessels and the demand for the last ten years of the ; AMM were used. These data were provided by the operating agency Servicios de ; Agua y Drenaje de Monterrey (SADM), while climatological data were collected from ; open information by the National Water Commission (CONAGUA). Databases were ; created using stochastic models such as seasonal autoregressive integrated mobile ; media (SARIMA) and neural autoregressive networks (NNAR). These databases ; contain monthly historical information on the dam regime (direct precipitation, ; evaporation, and extractions), monthly precipitation of the selected climatological ; stations, and the water demand of the MAM. ; Based on the simulation results, it was concluded that maintaining the water ; consumption trend of the last 10 years is not feasible. The demand exceeds the ; annual concessions identified, and all sources remain under high operational stress. ; However, the scenario of increased extraction capacity for one of the surface ; sources is ideal for maintaining continuous supply, respecting current annual water ; allocations, and the sustainability of the aquifers. All scenarios indicate that unless ; better and incremental extraction infrastructure is developed, demand will not be met ; unless aquifers are overexploited beyond their natural ...
Document Type: other/unknown material
File Description: Texto; application/pdf
Language: English
Relation: Instituto Tecnológico de Estudios Superiores de Monterrey; CONAHCYT; acceptedVersion; Rico Moreno, J. F. (2023). Review and optimization of the operation of potable water supply sources: case of the Metropolitan Area of Monterrey. [Tesis de Maestría]. Instituto Tecnológico y de Estudios Superiores de Monterrey. Recuperado de: https://hdl.handle.net/11285/703517; https://hdl.handle.net/11285/703517; 1188625
Availability: https://hdl.handle.net/11285/703517
Rights: openAccess ; https://creativecommons.org/licenses/by-sa/4.0
Accession Number: edsbas.E0549D64
Database: BASE
Description
Abstract:orcid:0000-0001-8148-6820 ; A simulation-optimization model was developed in R to simulate the hydrological ; cycle of the dams that are the main sources of surface water. This was ; complemented by forecast information of climatological variables and the demand ; of the Metropolitan Area of Monterrey (MAM). The model simulated scenarios that ; were based on the extraction infrastructure and sustainable operation of the sources, ; using the Particle Swarm Optimization algorithm to minimize an objective function ; that aimed to lower the extraction operation costs and ensure continuous water ; supply. ; To simulate precipitation and runoff from the contribution basins, historical data on ; the dam regime of the studied vessels and the demand for the last ten years of the ; AMM were used. These data were provided by the operating agency Servicios de ; Agua y Drenaje de Monterrey (SADM), while climatological data were collected from ; open information by the National Water Commission (CONAGUA). Databases were ; created using stochastic models such as seasonal autoregressive integrated mobile ; media (SARIMA) and neural autoregressive networks (NNAR). These databases ; contain monthly historical information on the dam regime (direct precipitation, ; evaporation, and extractions), monthly precipitation of the selected climatological ; stations, and the water demand of the MAM. ; Based on the simulation results, it was concluded that maintaining the water ; consumption trend of the last 10 years is not feasible. The demand exceeds the ; annual concessions identified, and all sources remain under high operational stress. ; However, the scenario of increased extraction capacity for one of the surface ; sources is ideal for maintaining continuous supply, respecting current annual water ; allocations, and the sustainability of the aquifers. All scenarios indicate that unless ; better and incremental extraction infrastructure is developed, demand will not be met ; unless aquifers are overexploited beyond their natural ...