Print Email Facebook Twitter Quantifying the failure probability of a canal levee Title Quantifying the failure probability of a canal levee Author Lendering, K.T. (TU Delft Hydraulic Structures and Flood Risk) Schweckendiek, T. (TU Delft Hydraulic Structures and Flood Risk) Kok, M. (TU Delft Hydraulic Structures and Flood Risk) Date 2018-01-23 Abstract Polders in the Netherlands are protected from flooding by flood defence systems along main water bodies such as rivers, lakes or the sea. Inside polders, canal levees provide protection from smaller water bodies. Canal levees are mainly earthen levees along drainage canals that drain excess water from polders to the main water bodies. The water levels in these canals are regulated. During the last decades, probabilistic approaches have been developed to quantify the probability of failure of flood defences along the main water bodies. This paper proposes several extensions to this method to quantify the probability of failure of canal levees. These extensions include a method to account for (i) water-level regulation in canals, (ii) the effect of maintenance dredging on the geohydrological response of the canal levee and (iii) survival of loads in the past. The results of a case study demonstrate that the proposed approach is capable of quantifying the probability of failure of canal levees and is useful for exploring the relative benefit of risk mitigating measures for canal levees. Subject Canal leveeflood risk analysis and managementquantitative risk analysisreliability analysis To reference this document use: http://resolver.tudelft.nl/uuid:a4594420-907e-4053-af62-86c17722874a DOI https://doi.org/10.1080/17499518.2018.1426865 ISSN 1749-9518 Source Georisk: assessment and management of risk for engineered systems and geohazards, 12 (3), 203-217 Part of collection Institutional Repository Document type journal article Rights © 2018 K.T. Lendering, T. Schweckendiek, M. Kok Files PDF Quantifying_the_failure_p ... _levee.pdf 2.4 MB Close viewer /islandora/object/uuid:a4594420-907e-4053-af62-86c17722874a/datastream/OBJ/view