Expressing the Results of the Surface Water Quality Monitoring in Lagoons of the El Padrino Mining Project in Linguistic Categories Using the Grey Clustering Methodology of the Fuzzy Logic System

Alexi Delgado, Katherine Barreto, Victor Dávila, Kevin Rivera, Enrique Lee Huamaní

Abstract

Mining activities are perceived by the population as an activity that degrades the water quality in the area in which it takes place; likewise, the communication of the results of the monitoring campaigns is unclear as it is not expressed in corresponding linguistic categories for the transmission and understanding of the information. The grey clustering methodology is a discipline within the fuzzy logic system that allows linguistic expression based on numerical variables, allowing the results to be stated appropriately for human communication. El Padrino mining project is located in Áncash. It is in the evaluation process, as part of the baseline study that has carried out the monitoring of surface water quality in the lagoons of the study area. The values obtained for the classification coefficients express the water quality of the lagoons as excellent, acceptable, and slightly polluted. The position of the evaluation points expresses natural processes of contamination in the lagoons Milpo and s/n2. The information obtained will be useful for the communication of the monitoring campaigns' results to the inhabitants of the study area. Due to the research focus, it will be of interest both for the development of future research on environmental engineering and linguistics.

 

 

Keywords: Fuzzy logic, grey clustering, linguistics, surface water quality.

 

 


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