Print Email Facebook Twitter Building Resilience: Analyzing Beira’s Drainage Network and Flood Management Title Building Resilience: Analyzing Beira’s Drainage Network and Flood Management: The impact of failure mechanisms on flooding in informal settlements Author Knoop, Job (TU Delft Civil Engineering & Geosciences) Contributor Mostert, E. (mentor) Langeveld, J.G. (graduation committee) Becks, Michel (graduation committee) Degree granting institution Delft University of Technology Programme Civil Engineering Date 2023-11-10 Abstract This research analyses and evaluates the performance of the drainage system in Beira, Mozambique. It considers its formation, maintenance, failure modes and connections, to recommend improvements on its performance. The research identifies six primary failure modes - vegetation overgrowth, human interference, waste accumulation, sedimentation, underdimensioned structures and ’other’ - highlighting the disparities between technical design and real-world complexities. The study quantifies the presence of these failure modes by direct observations and transect walks, and uses hydraulic modeling software, D-FLOW FM 1D2D, to simulate their impact on inundation depths.The results show that widespread flooding can be found even without failure modes. Additionally, it prioritises the risks of vegetation and human interference. Therefore, it recommends an increase of hydraulic capacity of a part of the system, proactive vegetation management, water level control, and community engagement in system management. It also underscores the importance of early land demarcation in urban planning, the implementation of flexible yet delineated canals, and the involvement of communities in flood adaptation. Subject DrainageFloodingInformal settlementMozambiqueBeiraFailure modeWasteSedimentationVegetationSlumD-FLOW FMHydraulicWatermanagementSanitationColiform To reference this document use: http://resolver.tudelft.nl/uuid:942a7990-1570-43d6-8ca6-190dafcf2c1c Coordinates -19.826043, 34.869633 Part of collection Student theses Document type master thesis Rights © 2023 Job Knoop Files PDF J_Knoop_Master_Thesis.pdf 69.1 MB Close viewer /islandora/object/uuid:942a7990-1570-43d6-8ca6-190dafcf2c1c/datastream/OBJ/view