We consider the case of data processing for a sewer infrastructure where water drains are equipped with waste-level sensors, which frequently send related to unit. In order understand dynamics waste accumulation within whole drain network, collected should first be pre-processed by removing unreliable (or, in other words, noisy) measurements. As we show, evolution inside can modeled non-station...

Abstract Combined Sewer Overflows (CSOs) are a major source of pollution and urban flooding, spilling untreated wastewater directly into water bodies the surrounding environment. If overflows can be predicted sufficiently in advance, then techniques available for mitigation. This paper presents novel bi-model committee evolutionary artificial neural network (CEANN) designed to forecast level CS...

Abstract In recent years, the number of pipes that have exceeded their service life has increased. For this reason, earthworm-type robots equipped with cameras been developed to perform regularly inspections sewer pipes. However, inspection methods not yet established. This paper proposes a method for anomaly detection from images in using Generative Adversarial Network (GAN). A model combines ...

This paper proposes a methodology for the layout selection of an urban drainage system as extension to optimal sewer network design proposed by Duque, Aguilar, & Saldarriaga. The approach in this uses objective function that takes into account all input data problem, such as: land topography, street topology, and inflow each manhole. Once is selected, optimally designed using dynamic progra...