Contamination Forecast in Liquid Residues by Response Functions

Authors

  • Elizabeth Canchingre−Bone Universidad “Luis Vargas Torres” de Esmeraldas
  • Ramón Rodríguez−Betancourt Profesor invitado de la Universidad Universidad “Luis Vargas Torres” de Esmeraldas
  • Milagros Morales−Pérez Universidad de Oriente

Keywords:

residual liquids, Multiple Lineal Regression, contamination, plan of investments, efficiency.

Abstract

In objective 11 of the National Plan for Good Living (2013-2017), the state considers water as a strategic sector, a renewable natural resource; however, industries have excluded from the productive process the rational planning of pollution of Residuals Liquids. The level of efficiency of the planned in these residues in the Esmeraldas Refinery is insufficient, since it is not known from the factory point of view what is the factor that most affects the contamination, with the aim of emphasizing its decrease, Which leads to the use of econometric techniques to achieve this objective. For its fulfillment a Multiple Linear Regression model is used, from five functions to choose the best one. The results have enabled the Esmeraldas State Refinery to create the necessary premises for the execution of the 2018-2020 investment plan with the minimum cost and recovery period.

Author Biography

Elizabeth Canchingre−Bone, Universidad “Luis Vargas Torres” de Esmeraldas

 

Downloads

Published

2016-12-22

Issue

Vol. 8 (2017)

Section

Artículos

License

Esta revista proporciona un acceso abierto inmediato a su contenido, basado en el principio de que ofrecer al público un acceso libre a las investigaciones ayuda a un mayor intercambio global de conocimiento.

This journal provides immediate open access to its content, based on the principle that providing the public with free access to research supports a greater global exchange of knowledge.

Most read articles by the same author(s)