This is a study on the full-chain risk assessment implemented on the fluvial flood hazard in collaboration with AXA Climate, French insurance company, on a populated Togolese city, Kara, as a case study with poor data. By making use of solely the available global open-source data, the process starts from the hydrological aspect. Associated IDF curves provide discharge hydrographs according to Curve Number and Unit Hydrograph methods. The production of hazard maps is achieved by the two-dimensional hydraulic simulation in HEC-Ras and then available global damage functions lead to the estimation of risk for both agricultural lands and residential structures, as exposed assets of interest. When the related curves and monetary representation of the risk are obtained, it is the turn for mitigation strategies. Considering structural and non-structural measurements, construction of levees and development of an EWS show up as possible mitigation options. This piece of work tries to automatize as much as possible the assessment process by implementing it in Python coding. Therefore, it can be repeated for an arbitrary other case, by using the very same open sources or even more detailed available data.

This is a study on the full-chain risk assessment implemented on the fluvial flood hazard in collaboration with AXA Climate, French insurance company, on a populated Togolese city, Kara, as a case study with poor data. By making use of solely the available global open-source data, the process starts from the hydrological aspect. Associated IDF curves provide discharge hydrographs according to Curve Number and Unit Hydrograph methods. The production of hazard maps is achieved by the two-dimensional hydraulic simulation in HEC-Ras and then available global damage functions lead to the estimation of risk for both agricultural lands and residential structures, as exposed assets of interest. When the related curves and monetary representation of the risk are obtained, it is the turn for mitigation strategies. Considering structural and non-structural measurements, construction of levees and development of an EWS show up as possible mitigation options. This piece of work tries to automatize as much as possible the assessment process by implementing it in Python coding. Therefore, it can be repeated for an arbitrary other case, by using the very same open sources or even more detailed available data.

Fluvial Flood Risk Assessment and Mitigation Based on Global Open-source Data in Kara, Togo (West Africa)

TAMADONI GHANBALANI, MOHAMMAD
2021/2022

Abstract

This is a study on the full-chain risk assessment implemented on the fluvial flood hazard in collaboration with AXA Climate, French insurance company, on a populated Togolese city, Kara, as a case study with poor data. By making use of solely the available global open-source data, the process starts from the hydrological aspect. Associated IDF curves provide discharge hydrographs according to Curve Number and Unit Hydrograph methods. The production of hazard maps is achieved by the two-dimensional hydraulic simulation in HEC-Ras and then available global damage functions lead to the estimation of risk for both agricultural lands and residential structures, as exposed assets of interest. When the related curves and monetary representation of the risk are obtained, it is the turn for mitigation strategies. Considering structural and non-structural measurements, construction of levees and development of an EWS show up as possible mitigation options. This piece of work tries to automatize as much as possible the assessment process by implementing it in Python coding. Therefore, it can be repeated for an arbitrary other case, by using the very same open sources or even more detailed available data.
2021
Fluvial Flood Risk Assessment and Mitigation Based on Global Open-source Data in Kara, Togo (West Africa)
This is a study on the full-chain risk assessment implemented on the fluvial flood hazard in collaboration with AXA Climate, French insurance company, on a populated Togolese city, Kara, as a case study with poor data. By making use of solely the available global open-source data, the process starts from the hydrological aspect. Associated IDF curves provide discharge hydrographs according to Curve Number and Unit Hydrograph methods. The production of hazard maps is achieved by the two-dimensional hydraulic simulation in HEC-Ras and then available global damage functions lead to the estimation of risk for both agricultural lands and residential structures, as exposed assets of interest. When the related curves and monetary representation of the risk are obtained, it is the turn for mitigation strategies. Considering structural and non-structural measurements, construction of levees and development of an EWS show up as possible mitigation options. This piece of work tries to automatize as much as possible the assessment process by implementing it in Python coding. Therefore, it can be repeated for an arbitrary other case, by using the very same open sources or even more detailed available data.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14239/16235