Abstract
A problem for drainage systems managers is the increase in extreme rain events that are increasing in various parts of the world. Their occurrence produces hydraulic overload in the drainage system and consequently floods. Adapting the existing infrastructure to be able to receive extreme rains without generating consequences for cities’ inhabitants has become a necessity. This research shows a new way to improve drainage systems with minimal investment costs, using for this purpose a novel methodology that considers the inclusion of hydraulic control elements in the network, the installation of storm tanks and the replacement of pipes. The presented methodology uses the Storm Water Management Model for the hydraulic analysis of the network and a modified Genetic Algorithm to optimize the network. In this algorithm, called the Pseudo-Genetic Algorithm, the coding of the chromosomes is integral and has been used in previous studies of hydraulic optimization. This work evaluates the cost of the required infrastructure and the damage caused by floods to find the optimal solution. The main conclusion of this study is that the inclusion of hydraulic controls can reduce the cost of network rehabilitation and decrease flood levels.
Highlights
Discussions have been generated about the pressure that climate change can generate on water supply and drainage systems
The results indicated that both alternatives could be used as Hydraulic Control in a network
The results indicate that when implementing a hydraulic control element, a slowdown of the water flow is generated
Summary
Discussions have been generated about the pressure that climate change can generate on water supply and drainage systems. The study demonstrated the economic benefits of the joint installation of STs and the replacement of pipes with others of greater capacity Following this line of research, Ngamalieu-Nengoue et al [20] present a methodology that uses the aforementioned postulates seeking rehabilitation of drainage networks and shortens the calculation time through a process of Search Space Reduction (SSR). To find the optimal solution, the model uses a PGA connected to the SWMM hydraulic simulation model through a Toolkit [27] For this reason, the objective of this work is to include additional energy losses to help retain water in the network, decrease the levels of flooding in the networks and minimize the size of the necessary protection structures
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