Redesign of Water Quality Network for the Urban Rivers in Salitre in Bogotá, Colombia, Using an Artificial Neural Network

Abstract

Bogotá is the biggest urban center in Colombia, and has the largest population in the country, with about eight million inhabitants. This has led to an impact on different natural resources, principally the water resource. This is why the city currently has a water quality network that allows measuring of the quality conditions of Bogotá’s rivers. This network has been operating since the nineties, but has not been optimized, despite the dynamics of the city and the sanitation infrastructure. For this reason, a redesign of the network over the Torca and Salitre rivers was planned using an artificial neural network, which allowed us to optimize the measurement frequency (month and day) and the number of measurement points on each river.