Using global datasets to estimate flood exposure at the city scale: an evaluation in Addis Ababa
Introduction: Cities located in lower income countries are global flood risk hotspots. Assessment and management of these risks forms a key part of global climate adaptation efforts. City scale flood risk assessments necessitate flood hazard information, which is challenging to obtain in these local...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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Frontiers Media
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/163322 |
| _version_ | 1855516686967373824 |
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| author | Carr, A. B. Trigg, M. A. Haile, Alemseged Tamiru Bernhofen, M. V. Alemu, Abel Negussie Bekele, Tilaye Worku Walsh, C. L. |
| author_browse | Alemu, Abel Negussie Bekele, Tilaye Worku Bernhofen, M. V. Carr, A. B. Haile, Alemseged Tamiru Trigg, M. A. Walsh, C. L. |
| author_facet | Carr, A. B. Trigg, M. A. Haile, Alemseged Tamiru Bernhofen, M. V. Alemu, Abel Negussie Bekele, Tilaye Worku Walsh, C. L. |
| author_sort | Carr, A. B. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Introduction: Cities located in lower income countries are global flood risk hotspots. Assessment and management of these risks forms a key part of global climate adaptation efforts. City scale flood risk assessments necessitate flood hazard information, which is challenging to obtain in these localities because of data quality/scarcity issues, and the complex multi-source nature of urban flood dynamics. A growing array of global datasets provide an attractive means of closing these data gaps, but their suitability for this context remains relatively unknown.
Methods: Here, we test the use of relevant global terrain, rainfall, and flood hazard data products in a flood hazard and exposure assessment framework covering Addis Ababa, Ethiopia. To conduct the tests, we first developed a city scale rain-on-grid hydrodynamic flood model based on local data and used the model results to identify buildings exposed to flooding. We then observed how the results of this flood exposure assessment changed when each of the global datasets are used in turn to drive the hydrodynamic model in place of its local counterpart.
Results and discussion: Results are evaluated in terms of both the total number of exposed buildings, and the spatial distribution of exposure across Addis Ababa. Our results show that of the datasets tested, the FABDEM global terrain and the PXR global rainfall data products provide the most promise for use at the city scale in lower income countries. |
| format | Journal Article |
| id | CGSpace163322 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1633222025-12-08T10:29:22Z Using global datasets to estimate flood exposure at the city scale: an evaluation in Addis Ababa Carr, A. B. Trigg, M. A. Haile, Alemseged Tamiru Bernhofen, M. V. Alemu, Abel Negussie Bekele, Tilaye Worku Walsh, C. L. flooding risk assessment towns datasets hydraulic models rainfall disaster risk management Introduction: Cities located in lower income countries are global flood risk hotspots. Assessment and management of these risks forms a key part of global climate adaptation efforts. City scale flood risk assessments necessitate flood hazard information, which is challenging to obtain in these localities because of data quality/scarcity issues, and the complex multi-source nature of urban flood dynamics. A growing array of global datasets provide an attractive means of closing these data gaps, but their suitability for this context remains relatively unknown. Methods: Here, we test the use of relevant global terrain, rainfall, and flood hazard data products in a flood hazard and exposure assessment framework covering Addis Ababa, Ethiopia. To conduct the tests, we first developed a city scale rain-on-grid hydrodynamic flood model based on local data and used the model results to identify buildings exposed to flooding. We then observed how the results of this flood exposure assessment changed when each of the global datasets are used in turn to drive the hydrodynamic model in place of its local counterpart. Results and discussion: Results are evaluated in terms of both the total number of exposed buildings, and the spatial distribution of exposure across Addis Ababa. Our results show that of the datasets tested, the FABDEM global terrain and the PXR global rainfall data products provide the most promise for use at the city scale in lower income countries. 2024-02 2024-12-11T07:01:01Z 2024-12-11T07:01:01Z Journal Article https://hdl.handle.net/10568/163322 en Open Access Frontiers Media Carr, A. B.; Trigg, M. A.; Haile, Alemseged Tamiru; Bernhofen, M. V.; Alemu, Abel Negussie; Bekele, Tilaye Worku; Walsh, C. L. 2024. Using global datasets to estimate flood exposure at the city scale: an evaluation in Addis Ababa. Frontiers in Environmental Science, 12:1330295. [doi: https://doi.org/10.3389/fenvs.2024.1330295] |
| spellingShingle | flooding risk assessment towns datasets hydraulic models rainfall disaster risk management Carr, A. B. Trigg, M. A. Haile, Alemseged Tamiru Bernhofen, M. V. Alemu, Abel Negussie Bekele, Tilaye Worku Walsh, C. L. Using global datasets to estimate flood exposure at the city scale: an evaluation in Addis Ababa |
| title | Using global datasets to estimate flood exposure at the city scale: an evaluation in Addis Ababa |
| title_full | Using global datasets to estimate flood exposure at the city scale: an evaluation in Addis Ababa |
| title_fullStr | Using global datasets to estimate flood exposure at the city scale: an evaluation in Addis Ababa |
| title_full_unstemmed | Using global datasets to estimate flood exposure at the city scale: an evaluation in Addis Ababa |
| title_short | Using global datasets to estimate flood exposure at the city scale: an evaluation in Addis Ababa |
| title_sort | using global datasets to estimate flood exposure at the city scale an evaluation in addis ababa |
| topic | flooding risk assessment towns datasets hydraulic models rainfall disaster risk management |
| url | https://hdl.handle.net/10568/163322 |
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