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This paper proposes a methodology for the optimal design of series of sewer pipes including pumping stations. It employs a Shortest Path Algorithm to select the optimal combination of pipe diameters and invert elevations, as well as the optimal pumping features such as the number of pumps, location, and pumping head. The methodology is intended to be applied to the design of any sewer series. Although these are uncommon in real infrastructure, the study allows an analysis of the effect of pipe roughness, inflows, and pipe length on the total cost of the system and pumping features. The methodology was tested in theoretical series of 10 and 20 pipes as well as in a real series that is part of the sewer system of Bogotá, Colombia. The resulting designs suggested that using smooth pipes and reducing the pumping flow rate would decrease the cost of sewer systems in flat terrain. [ABSTRACT FROM AUTHOR]

Due to the increased frequency of extreme rainfall events caused by climate change, flooding in urban areas is becoming increasingly recurrent. Nevertheless, mitigation and response actions to flood events are still defined according to the best judgments of civil protection authorities, based on their experience and on simple flood modelling tools. In this paper we present the methodological structure of an innovative prototype tool for dynamic pluvial-flood emergency planning. The tool is aimed at helping civil protection authorities (and the population) in the preparation, mitigation and response to flood events. The 2009 flood in the Agualva village (Terceira Island, Azores, Portugal), is used to exemplify the model's calibration and to illustrate the prototype capabilities. The results highlight the importance of considering a dynamic approach in the design of pluvial-flood emergency planning. [ABSTRACT FROM AUTHOR]