Resumo

VARGAS-FRANCO, Viviana  e  RESTREPO-TARQUINO, Inés. Construction of index with artificial intelligence to evaluate vulnerability to climate change in Andean tropical micro-watersheds. Study case in Colombia. Dyna rev.fac.nac.minas [online]. 2018, vol.85, n.204, pp.194-203. ISSN 0012-7353.  https://doi.org/10.15446/dyna.v85n204.67048.

This article constructs and applies an index to estimate vulnerability level to climate change (CCI) in tropical Andean micro-watersheds. The ICC was constructed with a combination of two analytical methodologies: Pressure-State-Response (PER) indicators and fuzzy logic from artificial intelligence. One pressure indicator, three statuses and two response indicators were defined. Each indicator is associated with a fuzzy logic function. For the operation of the index, 234 decision rules were generated, which were programmed in the MATLAB program. The index was applied to the tropical Andean microcuenca Chocho located in the Department of Valle del Cauca in Colombia. With the application of the ICC index in this micro-basin, the high level of vulnerability of this microwatershed was evidenced in the low, medium and high zone. The ICC is a support for the decision making by different actors of the micro-watershed.

Palavras-chave : climate change index; vulnerability to climate change; the Chocho micro-watershed; artificial intelligence; pressure-state-response indicators.

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