Urban flood numerical modeling and hydraulic performance of a drainage network: a case study in Algiers, Algeria

Abstract Urban sewer system management is challenging due to its higher vulnerability flooding caused by rapid urbanization and climate change. For local decision-makers, storm water essential for urban planning development. Therefore, the main objective of this study develop a numerical model sewerage network central catchment area Algiers since it has experienced frequent overflows during winter season. purpose, networks, was built coupling ArcGIS with MIKE URBAN. Its calibration validation were performed using real-time measurements time step 15 min. The evaluated several statistical indicators, such as coefficient determination (R2), Nash–Sutcliffe efficiency (NSE), root mean square error (RMSE), percent bias (PBIAS). results showed acceptable performance, an NSE superior 0.50, R2 approximately 0.63, RMSE 7%, PBIAS 10% model. performance parameters prove reliability developed employed can be applied in other regions could helpful policymakers managers improve flood mitigation measures based on prediction network.