Applying the grey clustering method to assess water quality in a watershed in Cusco, Peru

Published in: Engineering, Integration, and Alliances for a Sustainable Development. Hemispheric Cooperation for Competitiveness and Prosperity on a Knowledge-Based Economy: Proceedings of the 18th LACCEI International Multi-Conference for Engineering, Education and Technology
Date of Conference: July 27-31, 2020
Location of Conference: Virtual
Authors: Alexi Delgado (Pontificia Universidad Católica del Perú, PE)
Acuña M. (Universidad Nacional de Ingeniería, PE)
Justano N. (Universidad Nacional de Ingeniería, PE)
Llanos E. (Universidad Nacional de Ingeniería, PE)
Puma I. (Universidad Nacional de Ingeniería, PE)
Chiara Carbajal (Universidad de Ciencias y Humanidades, PE)
Full Paper: #524


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.