Stability Analysis of Climate System Using Fuzzy Cognitive Maps

Ortiz, Iván

doi:10.1007/978-3-319-03581-9_15

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…Pioneering contributions arose with the work of Gay-García and Paz-Ortiz in the study of stability in terrestrial climate systems (Paz-Ortiz, 2011;Gay-García and Paz-Ortiz, 2014), modeling, simulation and evaluation of the terrestrial climate system based on a framework of planetary limits (Paz-Ortiz and Gay-García, 2014), as well as the analysis of the impact that climate change will have on CDMX's water supply sources (Paz-Ortiz and Gay-García, 2013). It is worth highlighting the fact that this last study utilized scenarios in which there was an increase or decrease in the average annual precipitation in CDMX.…”

Section: Fuzzy Cognitive Maps In the Environmental And Climatological Areasmentioning

confidence: 99%

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

Fuentes

2021

ATM

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Currently the drinking water supply service system of the Metropolitan Area of Mexico City (ZMCM) faces serious problems in its operation, which generate highly negative 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 is generated 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 that, in addition to being highly complex, the available information presented large ranges of uncertainty. Based on the resuls obtained, we present a mitigation measure for each sector, in order to provide efficient actions to decisions makers.

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Section: Fuzzy Cognitive Maps In the Environmental And Climatological Areasmentioning

confidence: 99%