This article summarises initial findings of a study to explore the potential of providing micro-financing for low-income households wishing to invest in improved water supply and sanitation services. Through in-depth interviews with more than 800 households in the city of Hyderabad in India, we conclude that, even if provided with market (not concessional) rates of financing, a substantial prop...

One of the goals of the APUSS project (assessing infiltration and exfiltration on the performance of urban sewer systems) is to assess sewer exfiltration, in order to support cities and operators to define problem-oriented rehabilitation strategies. In this paper, we review various methods currently used for the estimation of exfiltration and discuss data needs and applicability for rehabilitat...

  Current World Health Organization and Centers for Disease Control and Prevention guidance for the disposal of liquid waste from patients undergoing treatment for Ebola virus disease at hospitals in the U.S. is to manage patient excreta as ordinary wastewater without pretreatment. The potential for Ebolavirus transmission via liquid waste discharged into the wastewater environment is currently...

An online methane sensor was employed to monitor methane level in the sewage at the end of a rising main for a period of 3 weeks during both winter and summer periods. Based on the sewer information and the pump station operation data, a model was setup for the sewer system. The SeweX model, capable of predicting methane generation in a sewer, was employed for this purpose. The model was calibr...

In this paper, a stochastic finite element method (SFEM) is employed to investigate the probability of failure of cementitious buried sewer pipes subjected to combined effect of corrosion and stresses. A non-linear time-dependant model is used to determine the extent of concrete corrosion. Using the SFEM, the effects of different random variables, including loads, pipe material, and corrosion o...

A crucial part of image classification consists capturing non-local spatial semantics content. This paper describes the multi-scale hybrid vision transformer (MSHViT), an extension classical convolutional neural network (CNN) backbone, for multi-label sewer defect classification. To better model in images, features are aggregated at different scales non-locally through use a lightweight transfo...