Modeling of Rainwater Urban Drainage Network at a Local Scale

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Abstract

Casablanca has experienced uncontrolled urbanization and an increase in waterproofed surfaces that do not comply with the size of networks. Climate change has also modified the country’s rainfall patterns. The compilations due to these factors have increased flooding in the city with varied impacts at the local levels. In this article, we will examine the case of the Sidi Bernoussi district as it is most vulnerable to the risk of flooding in Casablanca. This research study aims to carry out a diagnosis of the stormwater network of the Sidi Bernoussi district. To this end, we carry out a network capacity analysis using the hydrologic and hydraulic model Mouse software to highlight loading zones and overflowing zones and their frequency. The latter allows us to identify probable overflow areas of the network modeled by simulation of ten-year rainfall, and then we compare the network diagnosis to field observations to identify the reasons behind the dysfunctions. Overflows in Sidi Bernoussi are generally found to be due to deficiencies in the sanitation infrastructure network capacity. Thus, during the rains, a large part of the network is overloaded, resulting in overflowing areas. In order to limit the risk of overflows and ensure adequate stormwater drainage, we must put in place measures to protect against urban flooding.