Data and scripts supporting the PhD thesis: Comprehensive risk-perspective for flood defence system management
DOI: 10.4121/3e31067d-ce99-4b59-8e13-b95c271729a9
Datacite citation style
Dataset
Dataset for PhD thesis, see title of dataset. The thesis elaborates comprehensive risk analyses for flood defence system management. The main objective is to develop and test methods for risk analysis in flood defence system management subject to deterioration and climate change. It focusses on three questions which elaboration can improve the risk-based management of flood defences. 1) How can the structural robustness of the flood defence contribute to flood risk reduction? An integrated risk analysis has been set up, valuing the risk reduction due to the structural robustness of a construction type. 2) How can planning of measures contribute to effective system risk reduction? Therefore, the interventions or measures are studied for a system of dikes in flood-prone areas. A method is developed to compare different tactical plans to prioritize and plan measures in interdependent systems of dikes, to reduce risks most effectively and efficiently. 3) How can risk-based standards for flood defences reflect the benefits of structural robust designs? Therefore, it is studied how economic optimal probabilities of dike failure, can be updated. Furthermore, an analytical relation is developed for economic optimal design horizons. Finally, a dynamic and simple to use approach is developed to enable updating of the economic optimal reliability, based on a proposed design and planning. All data comes from open data sources from Dutch government (standards, dike data, flooding data). It is only transformed in lists which easily can be used in the phyton scripts. The scripts are provided as well.
History
- 2025-03-05 first online, published, posted
Publisher
4TU.ResearchDataFormat
.txt .xls .pyLanguage
nlOrganizations
TU Delft, Faculty of Civil Engineering and Geosciences , Department of Hydraulic Engineering, Hydraulic Structures and Flood RiskDATA
Files (1)
- 111,113,627 bytesMD5:
e7f863eb737668b37e8b36bdcfd9a26b
data_repository.zip