Estimation of the CO2flux index in the San Andrés Island using fuzzy logic

When applying fuzzy inference systems through the software to Spatial data processing for decision making (GeoFis) to a coral complex database of the island of San Andres, a CO2 flux index was estimated that allows us to know the effect of the flux on the sea and the influence of the variables invol...

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Autores:
Popayán-Hernández, Juan Guillermo
Becerra Moreno, Dorance
Zuñiga Escobar, Orlando
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Universidad Francisco de Paula Santander
Repositorio:
Repositorio Digital UFPS
Idioma:
eng
OAI Identifier:
oai:repositorio.ufps.edu.co:ufps/320
Acceso en línea:
http://repositorio.ufps.edu.co/handle/ufps/320
Palabra clave:
Acidification
CO2 flux
Fuzzy logic
GeoFIS
Acidificación
Flujo de CO2
GeoFIS
Lógica difusa
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-sa/4.0/
Description
Summary:When applying fuzzy inference systems through the software to Spatial data processing for decision making (GeoFis) to a coral complex database of the island of San Andres, a CO2 flux index was estimated that allows us to know the effect of the flux on the sea and the influence of the variables involved. It was found that six of the studied areas had a state of acidification of the sea due to CO2, while all other areas had a slight incorporation of the gas. Likewise, it was evident that variables that have a significant influence on the incorporation of CO2 into the marine environment are the sea surface temperature and the chemical nature of this gas, according to the component analysis. Therefore, the fuzzy methods for the determination of acidification of coral ecosystems, allows establishing an approachment effects from the gradual incorporation of CO2 that would have into the marine environment, in addition to providing excellent advantages in terms of its determination based on satellite information.