Print Email Facebook Twitter A method to identify the weakest link in urban drainage systems Title A method to identify the weakest link in urban drainage systems Author Meijer, D.H. (TU Delft Sanitary Engineering; Deltares) Korving, J.L. (Deltares) Langeveld, J.G. (TU Delft Sanitary Engineering; Partners4UrbanWater) Clemens-Meyer, François (Norwegian University of Science and Technology (NTNU); SkillsInMotion) Date 2023 Abstract Urban drainage systems are composed of subsystems. The ratio of the storage and discharge capacities of the subsystems determines the performance. The performance of the urban water system may deteriorate as a result of the change in the ratio of storage to discharge capacity due to aging, urbanisation and climate change. We developed the graph-based weakest link method (GBWLM) to analyse urban drainage systems. Flow path analysis from graph theory is applied instead of hydrodynamic model simulations to reduce the computational effort. This makes it practically feasible to analyse urban drainage systems with multi-decade rainfall series. We used the GBWLM to analyse the effect of urban water system aging and/or climate scenarios on flood extent and frequency. The case study shows that the results of the hydrodynamic models and the GBWLM are similar. The rainfall intensities of storm events are expected to increase by approximately 20% in the Netherlands due to climate change. For the case study, such an increase in load has little impact on the flood frequency and extent caused by gully pots and surface water. However, it could lead to a 50% increase in the storm sewer flood frequency and an increase in the extent of flooding. To reference this document use: http://resolver.tudelft.nl/uuid:14430319-e162-421a-991d-caf48ed6b47b DOI https://doi.org/10.2166/wst.2023.057 ISSN 0273-1223 Source Water Science and Technology, 87 (5), 1273-1293 Part of collection Institutional Repository Document type journal article Rights © 2023 D.H. Meijer, J.L. Korving, J.G. Langeveld, François Clemens-Meyer Files PDF wst087051273.pdf 1.15 MB Close viewer /islandora/object/uuid:14430319-e162-421a-991d-caf48ed6b47b/datastream/OBJ/view