Citas bibligráficas
Gonzales, T., Horna, D., Justo, S., Zapata, M. (2023). Propuesta de mejora en la metodología de evaluación del impacto ambiental mediante la aplicación de técnicas difusas en proyectos de hidrocarburos en la Selva Peruana [Trabajo de investigación, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/667843
Gonzales, T., Horna, D., Justo, S., Zapata, M. Propuesta de mejora en la metodología de evaluación del impacto ambiental mediante la aplicación de técnicas difusas en proyectos de hidrocarburos en la Selva Peruana [Trabajo de investigación]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2023. http://hdl.handle.net/10757/667843
@mastersthesis{renati/405204,
title = "Propuesta de mejora en la metodología de evaluación del impacto ambiental mediante la aplicación de técnicas difusas en proyectos de hidrocarburos en la Selva Peruana",
author = "Zapata Perez, Manuel Alejandro",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2023"
}
The Environmental Impact Studies (EIA) use various methodologies to measure and calculate their environmental impacts, within the theoretical review five IGAs approved according to the criteria established in the Methodological Guide for Environmental Impact Assessment - CONESA are taken into account, however, this methodology turns out to be very subjective and qualitative thus generating an inefficient evaluation of the environmental impacts that can generate: Incorrect identification of environmental aspects and impacts, problems at the level of execution of measures and controls, economic losses due to the inefficient evaluation of the impacts evaluated, damage to the population that is part of the area of direct and indirect influence by not foreseeing certain environmental controls against some impacts. The proposed methodology consists of using fuzzy logic to analyze the qualitative and quantitative information collected, allowing greater flexibility in decision-making and the ability to manage uncertainty and subjectivity in the data. This is achieved by using membership functions and inference rules to classify and assign degree of truth values to the variables involved in the problem. Once the information has been analyzed and classified, optimization and simulation techniques can be used to efficiently size the measurements to be executed. In our research we compared the identification matrix of environmental aspects and impacts of the IGA of "Lote 8" with the identification matrix of the environmental aspects and impacts presented through the diffuse analysis in the MATLAB program, corroborating the existence of environmental impacts incorrectly evaluated. This complementary methodology is expected to support environmental consultants developing the Environmental Management Instruments and public officials responsible for their assessment in the hydrocarbon sector.
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