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Tecnura

Print version ISSN 0123-921X

Abstract

LUQUE DIAZ, Germán Yesid; RAMIREZ SALINAS, Laura Cristina  and  RUIZ OCHOA, Mauricio Andrés. Fuzzy techniques for environmental impact assessment in hydrocarbons transportation in Colombia. Tecnura [online]. 2020, vol.24, n.64, pp.48-65. ISSN 0123-921X.  https://doi.org/10.14483/22487638.15762.

Objective:

The objective of the work was to apply fuzzy techniques to be used as one of these methodologies to reduce uncertainty and subjectivity.

Methodology:

For this article, due to the magnitude of the environmental impacts, we only present the results of applying the fuzzy techniques on the action susceptible to produce impacts (ASPI) "clearing and stripping", belonging to the construction stage of the Project Construction and Operation of the interconnection Caño Limón-Guafita Crossing Sub-River Arauca. The results were validated using Conesa's methodology.

Results:

Ten impacts were found that affected the physical, biotic and socioeconomic and cultural environments; and the components geology and geomorphology, soils, hydrogeology, water, atmosphere, flora, fauna, and archaeological aspects. By incorporating the fuzzy sets numbers, they are grouped into four broad categories: very possibly moderate with 3 impacts; possibly severe with 2 impacts; possibly moderate with 3 impacts; and little possibly severe with 2 impacts. With the proposed methodology, 40% turned out to be severe (little possibly and possibly), and the remaining percentage, moderate (possibly and very possibly); while with Conesa there are no severe impacts, moderate impacts represented 30%, and the great majority were valued as irrelevant.

Conclusions:

The proposed methodology highlights the weaknesses of conventional methodology, due to the lack of subjectivity when assessing impacts, which facilitates decision-making. Therefore, this methodology models more accurately the project-environment interaction adjusted to more real-life scenarios.

Financing:

Unidades Tecnológicas de Santander.

Keywords : environmental impact assessment; fuzzy numbers; fuzzy arithmetic.

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