Abstract: The evaluation of sediment quality is a relevant topic that involves the analysis of various parameters that are altered by natural or anthropogenic causes. Therefore, the Grey Clustering method provides an alternative to evaluate sediment quality. In the present study, the sediment quality of the Chontayacu river watershed was evaluated considering the results of the monitoring of twenty-three points carried out in the early evaluations by the Environmental Impact Evaluation Agency (OEFA by its Spanish acronym). These twenty-three points were separated into three blocks considering the monitoring points upstream of the Uchiza town center and the Chontayacu Alto and Chontayacu Bajo hydroelectric plants. Seven parameters were analyzed: As, Cd, Cr, Cu, Pb, Hg and Zn, which were compared with Canadian sediment quality standards for the protection of aquatic life. The results of the assessment showed that all points in the Chontayacu River were classified as having unlikely adverse biological effects from heavy metals. However, a quality ranking was established between the points of each block where it was found that points P3, P4 and P17 correspond to the lowest values for the high CH, low CH and CP Uchiza blocks respectively. Finally, the results obtained will provide integrated information for decision making by the competent authorities in Peru, as well as indicate the level of sediment contamination that should be taken into account for the proposal of hydroelectric projects that influence sediment transport and entrainment.

Alexi Delgado, Jossel Altaminarano, Luis Pariona, Patricia Oscanoa, Stephany Esquivel, Wendy Mejía and Chiara Carbajal, “Grey Clustering Approach to Assess Sediment Quality in a Watershed in Peru” International Journal of Advanced Computer Science and Applications(IJACSA), 12(7), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120727

@article{Delgado2021,
title = {Grey Clustering Approach to Assess Sediment Quality in a Watershed in Peru},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120727},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120727},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {7},
author = {Alexi Delgado and Jossel Altaminarano and Luis Pariona and Patricia Oscanoa and Stephany Esquivel and Wendy Mejía and Chiara Carbajal}
}