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DOI: 10.14569/IJACSA.2021.0120471
PDF

Grey Clustering Method for Water Quality Assessment to Determine the Impact of Mining Company, Peru

Author 1: Alexi Delgado
Author 2: Jhoel Andy Gauna Achata
Author 3: Jorge Alfredo Barreda Valdivia
Author 4: Julio Cesar Junior Santivañez Montes
Author 5: Chiara Carbajal

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 4, 2021.

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Abstract: Mining operations have a significant impact on environment, where the quality of water is an important affected issue that need to be controlled. In that way, the Grey Clustering Method based on center-point triangular whitenization weight (CTWF), is an artificial intelligence criterion that evaluates water samples according to selected parameters, in order to realize an effective water quality assessment. In the present study, the analysis is made on the Crisnejas River Basin, by using fifteen monitoring points based on an investigation realized by the National Water Authority (ANA) in 2019, based on the Peruvian law (ECA) about water quality standards. The results reveal that almost all of the monitoring points on the Crisnejas River Basin were classified as “irrigation of vegetables unrestricted”, but only one point was classified as “animal drink”, which is ubicated in an urbanized area. This implies that mining discharges are being well treated by the company, but another deal is the contamination generated in towns. Further, the present study might be helpful to audit processes made by the state or companies, to justify the quality of surface waters using a more accurate methodology.

Keywords: Grey clustering method; mining company; water quality; artificial intelligence

Alexi Delgado, Jhoel Andy Gauna Achata, Jorge Alfredo Barreda Valdivia, Julio Cesar Junior Santivañez Montes and Chiara Carbajal, “Grey Clustering Method for Water Quality Assessment to Determine the Impact of Mining Company, Peru” International Journal of Advanced Computer Science and Applications(IJACSA), 12(4), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120471

@article{Delgado2021,
title = {Grey Clustering Method for Water Quality Assessment to Determine the Impact of Mining Company, Peru},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120471},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120471},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {4},
author = {Alexi Delgado and Jhoel Andy Gauna Achata and Jorge Alfredo Barreda Valdivia and Julio Cesar Junior Santivañez Montes and Chiara Carbajal}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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