Comparative Analysis of the Impact on Air Quality Due to the Operation of La Oroya Metallurgical Complex using the Grey Clustering Method

Alexi Delgado,Manuel Mejía,Luis Vasquez,Chiara Carbajal,Luis Espinoza,Enrique Lee,Erick Yauri

doi:10.14569/ijacsa.2021.0120257

Alexi Delgado, Manuel Mejía + Show 5 more

Open Access

https://doi.org/10.14569/ijacsa.2021.0120257

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Abstract

Air pollution is one of the biggest problems worldwide due to the increase of burning of fossil fuels by industries around the world. In the present work, the air quality study will be carried out with the grey clustering method, since the data obtained presents a certain level of uncertainty. In order to obtain a correct analysis of air quality, the comparison was made in two different years with the same monitoring stations. The air quality assessment was carried out in three monitoring stations located in three different districts of the province of La Oroya (La Oroya Antigua, minor town of Huari and Santa Rosa de Sacco), in which, they installed sampling equipment for the evaluation on the basis of 10 particulate matter (PM10) and sulfur dioxide (SO2). In each point of study a positive result was obtained, where an improvement in air quality can be seen, this it is due to the reduction of mining activity in the study area. These results show the improvement over the years. Finally, this method can also be used by any organization in the nation for water or air quality studies.

Highlights

Air pollution has become a serious problem for large cities due to transportation activities [1] or industrialization [2] as studies show [3], [4]
Because air quality assessment is a subject with a high level of uncertainty, we firmly believe that applying this method would be of great help since the center-point triangular whitenization weight functions (CTWF) method considers uncertainty in its analysis and gives weight to the criteria [10]–[14]
The air quality in 2012 compared to 2007 shows an improvement in all the evaluated control points, which may be due to the fact that in this period the mining company entered into a total temporary freeze due to social and environmental conflicts

Summary

Introduction

Air pollution has become a serious problem for large cities due to transportation activities [1] or industrialization [2] as studies show [3], [4]. We carry out an evaluation of air quality in the city of La Oroya, Junín, Peru. This city has a massive problem related to air pollution, of great magnitude in some districts, due to various factors, mainly due to mining activity [8], [9]. The main objective of this work is the evaluation of air quality at three points in the city of La Oroya, applying the grey scream method. Because air quality assessment is a subject with a high level of uncertainty, we firmly believe that applying this method would be of great help since the CTWF method considers uncertainty in its analysis and gives weight to the criteria [10]–[14]

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Conclusion