Impact of the Mining Activity on the Water Quality in Peru Applying the Fuzzy Logic with the Grey Clustering Method

Brigitte Chirinos,Gabriel Barboza,Enrique Lee,Anabel Fernandez,Alexi Delgado

doi:10.14569/ijacsa.2021.0120141

Brigitte Chirinos, Gabriel Barboza + Show 3 more

Open Access

https://doi.org/10.14569/ijacsa.2021.0120141

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Abstract

Mining activity in the department of Junín, Peru, is intense, due to the great existing mining-metallic potential that exists in the place, the Yauli and Andaychagua rivers, located in the Yauli Province, belonging to Junín, receive a large volume of discharges causing deterioration in the quality of the water of these rivers. To evaluate this quality in an integral way, fuzzy logic will be applied with the Grey Clustering methodology, defining the central point triangular whitening weight functions (CTWF), having as grey classes the Environmental Quality Standards for water (ECA-Water), Category 3, which were modified for research purposes. Four monitoring points were evaluated, both upstream (point PY-01) and downstream (PY-02) of the Yauli River; as upstream (PA-01) and downstream (PA-02) of the Andaychagua river. From the analysis it was determined that the water quality in PY-01 is 0.7302, 0.8795 in the dry season and 0.5980 in the wet season; in PY-02, 0.5448, 0.6448 in dry season and 0.5628 in wet season were obtained. At point PA-01 it is 0.8213, 0.8691 in dry season and 0.7902 in wet season; In PA-02, 0.8385, 0.8827 in the dry season and 0.8118 in the wet season were obtained, concluding that there is good water quality, decreasing in wet seasons, this due to the influence of the rains in the contact waters. The research provides an integration of the parameters that are considered in the ECA-Water with other international standards allowing to determine a more precise evaluation of the quality status of the Yauli and Andaychagua rivers after receiving the effluents generated by the mining activity, benefiting the relevant authorities for decision making and providing a methodology that improves the analysis of the results obtained by the specific parameters that are evaluated in the environmental monitoring.

Highlights

The department of Junín, in Peru, is divided into 07 metallogenic strips
To evaluate this quality in an integral way, fuzzy logic will be applied with the Grey Clustering methodology, defining the central point triangular whitening weight functions (CTWF), having as grey classes the Environmental Quality Standards for water (ECA-Water), Category 3, which were modified for research purposes
The research provides an integration of the parameters that are considered in the ECA-Water with other international standards allowing to determine a more precise evaluation of the quality status of the Yauli and Andaychagua rivers after receiving the effluents generated by the mining activity, benefiting the relevant authorities for decision making and providing a methodology that improves the analysis of the results obtained by the specific parameters that are evaluated in the environmental monitoring

Summary

Introduction

The department of Junín, in Peru, is divided into 07 metallogenic strips These strips represent periods of mineralization that extend along regional fault systems and the lithologies that have favored the mineralization of polymetallic mineral deposits of economic interest [1]. This is why it is an ideal place for the exploitation of minerals, a situation that has led many mining companies to grant concessions to a large percentage of this department to carry out the extraction of minerals. The Yauli and Andaychagua Rivers are the first to receive the greatest concentration and influence of mining activities in the Junín Region [3], since mining activity is intense, so a large volume of discharges must be evacuated, some of them directly and others in the tailings ponds [4]

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