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856.4.0.u: https://www.revistascca.unam.mx/atm/index.php/atm/article/view/53037/46911

100.1.#.a: Olvera-fuentes, Norma Elizabeth; Gay-garcía, Carlos

524.#.#.a: Olvera-fuentes, Norma Elizabeth, et al. (2023). Fuzzy cognitive maps to explore the repercussions of less precipitation on the water supply service of the Metropolitan Area of Mexico City. Atmósfera; Vol. 36 No. 2, 2023; 299-316. Recuperado de https://repositorio.unam.mx/contenidos/4134815

245.1.0.a: Fuzzy cognitive maps to explore the repercussions of less precipitation on the water supply service of the Metropolitan Area of Mexico City

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM

264.#.0.c: 2023

264.#.1.c: 2023-01-17

653.#.#.a: Fuzzy cognitive maps; climate change; decrease in average annual precipitation; Metropolitan Area; Python programming

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC 4.0 Internacional, https://creativecommons.org/licenses/by-nc/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico editora@atmosfera.unam.mx

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520.3.#.a: Currently the drinking water supply service system of the Metropolitan Area of Mexico City (MCMA) faces serious problems in its operation, which generate highly negative impacts on the impacts on the environmental, social and provider sectors of this system. Given the presence of climate change, we consider the possible scenario in which a decrease in average annual precipitation occurs in the area. To evaluate its impact on each of the sectors, the fuzzy cognitive map (FCM) associated with each of them was constructed. This framework allowed the study of a system whose available information presented large ranges of uncertainty, in addition to being highly complex. Based on the results obtained, we present a mitigation measure for each sector, in order to provide efficient actions to decisions makers. The mathematical simulation was carried out programming in Python.

773.1.#.t: Atmósfera; Vol. 36 No. 2 (2023); 299-316

773.1.#.o: https://www.revistascca.unam.mx/atm/index.php/atm/index

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264.#.1.b: Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM

doi: https://doi.org/10.20937/ATM.53037

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Artículo

Fuzzy cognitive maps to explore the repercussions of less precipitation on the water supply service of the Metropolitan Area of Mexico City

Olvera-fuentes, Norma Elizabeth; Gay-garcía, Carlos

Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM, publicado en Atmósfera, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Entidad o dependencia
Instituto de Ciencias de la Atmósfera y Cambio Climático, UNAM
Revista
Repositorio
Contacto
Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

Cita

Olvera-fuentes, Norma Elizabeth, et al. (2023). Fuzzy cognitive maps to explore the repercussions of less precipitation on the water supply service of the Metropolitan Area of Mexico City. Atmósfera; Vol. 36 No. 2, 2023; 299-316. Recuperado de https://repositorio.unam.mx/contenidos/4134815

Descripción del recurso

Autor(es)
Olvera-fuentes, Norma Elizabeth; Gay-garcía, Carlos
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Fuzzy cognitive maps to explore the repercussions of less precipitation on the water supply service of the Metropolitan Area of Mexico City
Fecha
2023-01-17
Resumen
Currently the drinking water supply service system of the Metropolitan Area of Mexico City (MCMA) faces serious problems in its operation, which generate highly negative impacts on the impacts on the environmental, social and provider sectors of this system. Given the presence of climate change, we consider the possible scenario in which a decrease in average annual precipitation occurs in the area. To evaluate its impact on each of the sectors, the fuzzy cognitive map (FCM) associated with each of them was constructed. This framework allowed the study of a system whose available information presented large ranges of uncertainty, in addition to being highly complex. Based on the results obtained, we present a mitigation measure for each sector, in order to provide efficient actions to decisions makers. The mathematical simulation was carried out programming in Python.
Tema
Fuzzy cognitive maps; climate change; decrease in average annual precipitation; Metropolitan Area; Python programming
Idioma
eng
ISSN
ISSN electrónico: 2395-8812; ISSN impreso: 0187-6236

Enlaces