Browsing by Author "Carbajal, Chiara"

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Applying the grey clustering method to assess water quality in a watershed in Cusco, Peru
(LACCEI Inc., 2020-07) Delgado, Alexi; M., Acuña; N., Justano; E., Llanos; I., Puma; Carbajal, Chiara
Water quality assessment is a current issue of increasing concern in many countries around the world for reasons such as population health, national economic development and the environmental quality of ecosystems. At this juncture, the Grey Clustering method is used to assess water quality at discharge points, from the beginning to the end of the environmental monitoring process in the area of influence of the Anabi mining unit in the Chonta and Milos micro-watershed. The parameters evaluated were pH, dissolved oxygen, total suspended solids (TSS), iron and manganese. The results obtained through the Grey Clustering methodology showed a monitoring point with contamination from a treated water discharge. On the other hand, in order to obtain greater efficiency in the evaluation of water quality, national standard DS 004-2017-Minam (Water Quality Standards) and international standards were used through the PRATI index. Through the results obtained it was observed that (by means of the Prati index ) there is a better classification of the water quality in each point, therefore this research becomes an important tool for future studies to consider the Prati index for greater reliability of results.
Assessment of perception from engineering students on an environmental conflict using the grey clustering method
(LACCEI Inc., 2020-07) Delgado, Alexi; Buleje, Robert; Muñoz, Zilmer; Reyes, Bianca; Tenorio, Raquel; Carbajal, Chiara
The objective of this research is to assess the perception of the students of the National Engineering University through the method of Grey Clustering, with respect to the socioenvironmental conflict of Las Bambas, an emblematic conflict in Peru. The students were selected according to the direct relationship of their careers with the conflict. For this particular study, the following faculties were chosen: Faculty of Environmental Engineering (FIA by its Spanish acronym), Faculty of Geological, Mining and Metallurgical Engineering (FIGMM by its Spanish acronym), Faculty of Economic Engineering, Statistics and Social Sciences (FIEECS by its Spanish acronym). For this method, the following evaluation criteria were defined: Land Use, Water Availability, Environmental Pollution, Employment and Economic Development. Through the method of Grey Clustering, it was found that the perception of the National Engineering University students is Normal with respect to the social conflict in Las Bambas. This means that, according to their perspective, the conflict will continue as it is. On the other hand, this study could be a tool for the analysis and prevention of socio-environmental conflicts, as it defines the kind of impact according to each stakeholder, which would help local and regional authorities, as well as mining companies, in their decision-making.
Exposure assessment to equivalent noise in the coffee production industry
(LACCEI Inc., 2020-07) Delgado, Alexi; Farfan, Henry; Pantoja, Jesús; Alonso, Diego; Carbajal, Chiara
The present article provides the results of a study on the noise as an industrial agent in a coffee company, during the roasting process, packaging and distribution of the final product. The study is oriented to identify the dangers and risks that are presented in the processes to determine the level to which the workers are exposed with the purpose of establishing preventive protection measures that allow to control the risks. Although the results of this study cannot be generalized, due to its qualitative nature, the proposed study can guide similar studies in other related processes in the coffee industry.
Water quality assessment after the spill of the former mining company in Peru using the grey clustering method
(LACCEI Inc., 2021-07) Carbajal, Chiara; Delgado, Alexi; Zarria, Hassan; Ramirez, Johan; Camargo, Gresli; Cornelio, Angela
The area that involves the Santa river watershed is characterized by its mining potential, this fact has generated the existence of environmental mining liabilities. Therefore, it is necessary to evaluate water quality in areas where there may be an impact caused by a former mine harming mains rivers in the surrounding areas. In this work, we apply the center-point triangular whitenization weight functions (CTWF) method, which is based on the grey systems theory that is an approach from artificial intelligence. In the case study, we analyzed monitoring points (after the accident) near the area affected by a tailings spill, these points correspond to the Pelagatos ravine that co-flows with the Santa River. The monitoring data were obtained from Water National Authority of Peru (ANA by its Spanish acronym). The CTWF method was applied using parameters of water quality such as Ph, OD, SS, Fe, and Mn. Then, the results were ranked using the Prati scale. Consequently, the results showed that 80% of the monitoring points were classified as contaminated including points highly contaminated. Finally, the results of this study could be used by local authorities, supervision organisms, government or the company in charge of closing the liabilities to make the best decision on the affected area.