Análisis inteligente de datos aplicados al estudio y propagación de contaminantes en redes de abastecimiento de agua urbana

Abstract

The proposal presents a global vision of the concept of Data Mining (data mining) as a tool for the intelligent analysis of data, how this has been adapted to the needs of modern research and how they currently address some of their methodologies in the field of engineering, specifically in urban water distribution systems. The aim is to establish a link between epidemiology and hydraulics, to show possible common aspects and tools that can be explored, studied and adapted to the management of urban water distribution systems, under an intelligent data analysis approach and traditionally used in the area of ​​epidemiology. Some examples of how this concept has been adapted in urban water distribution systems and within the context of Data Science are presented. We present some of the different data analysis methodologies used in Data Mining that have traditionally been applied to analyzes based on the epidemiological area, and that will be addressed for the management of urban water distribution systems, more specifically in the study and spread of pollutants. The present proposal, will work with data from the supply network of Bogotá D.C.