Urgent flood hazard assessment using multi-sensor data in refugee hosting community settings: implications for immediate planning and design of anticipatory actions
One in 4 refugees and 95.5 percent of refugee camps in Ethiopia are exposed to 1-in-100-year floods which are expected to intensify due to shorter return periods and more extreme floods. Both fluvial (due to river flooding) and pluvial floods (due to excess rainfall) occur in the study areas of Dolo...
| Main Authors: | , , , , |
|---|---|
| Format: | Brief |
| Language: | Inglés |
| Published: |
International Water Management Institute
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/158207 |
| _version_ | 1855529197320011776 |
|---|---|
| author | Haile, Alemseged Tamiru Bekele, T. W. Negash, E. D. Mekuria, Wolde Ruckstuhl, Sandra |
| author_browse | Bekele, T. W. Haile, Alemseged Tamiru Mekuria, Wolde Negash, E. D. Ruckstuhl, Sandra |
| author_facet | Haile, Alemseged Tamiru Bekele, T. W. Negash, E. D. Mekuria, Wolde Ruckstuhl, Sandra |
| author_sort | Haile, Alemseged Tamiru |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | One in 4 refugees and 95.5 percent of refugee camps in Ethiopia are exposed to 1-in-100-year floods which are expected to intensify due to shorter return periods and more extreme floods. Both fluvial (due to river flooding) and pluvial floods (due to excess rainfall) occur in the study areas of Dolo Ado and Bokolmayo woredas. Recently, the 2023 flood caused devastating damage. Host communities and irrigated fields were most affected, followed by some of the refugee camps, suggesting the need for proactive strategies to prevent predictable climate shocks from turning into costly emergencies. This technical brief provides evidence of the importance of: (i) using multisource satellite data to map floods, and (ii) empowering and engaging local communities to fill data gaps and improve flood risk knowledge and awareness. It also discusses the implications of using flood mapping to plan, design, and implement anticipatory actions to address the impacts of floods on people and their livelihoods. |
| format | Brief |
| id | CGSpace158207 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | International Water Management Institute |
| publisherStr | International Water Management Institute |
| record_format | dspace |
| spelling | CGSpace1582072025-12-08T10:11:39Z Urgent flood hazard assessment using multi-sensor data in refugee hosting community settings: implications for immediate planning and design of anticipatory actions Haile, Alemseged Tamiru Bekele, T. W. Negash, E. D. Mekuria, Wolde Ruckstuhl, Sandra flooding risk management refugees communities early warning systems monitoring resilience remote sensing satellites rainfall nature-based solutions irrigated land citizen science One in 4 refugees and 95.5 percent of refugee camps in Ethiopia are exposed to 1-in-100-year floods which are expected to intensify due to shorter return periods and more extreme floods. Both fluvial (due to river flooding) and pluvial floods (due to excess rainfall) occur in the study areas of Dolo Ado and Bokolmayo woredas. Recently, the 2023 flood caused devastating damage. Host communities and irrigated fields were most affected, followed by some of the refugee camps, suggesting the need for proactive strategies to prevent predictable climate shocks from turning into costly emergencies. This technical brief provides evidence of the importance of: (i) using multisource satellite data to map floods, and (ii) empowering and engaging local communities to fill data gaps and improve flood risk knowledge and awareness. It also discusses the implications of using flood mapping to plan, design, and implement anticipatory actions to address the impacts of floods on people and their livelihoods. 2024-09-30 2024-10-29T05:57:43Z 2024-10-29T05:57:43Z Brief https://hdl.handle.net/10568/158207 en Open Access application/pdf International Water Management Institute Haile, Alemseged Tamiru; Bekele, T. W.; Negash, E. D.; Mekuria, Wolde; Ruckstuhl, Sandra. 2024. Urgent flood hazard assessment using multi-sensor data in refugee hosting community settings: implications for immediate planning and design of anticipatory actions. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Initiative on Fragility, Conflict, and Migration. 10p. |
| spellingShingle | flooding risk management refugees communities early warning systems monitoring resilience remote sensing satellites rainfall nature-based solutions irrigated land citizen science Haile, Alemseged Tamiru Bekele, T. W. Negash, E. D. Mekuria, Wolde Ruckstuhl, Sandra Urgent flood hazard assessment using multi-sensor data in refugee hosting community settings: implications for immediate planning and design of anticipatory actions |
| title | Urgent flood hazard assessment using multi-sensor data in refugee hosting community settings: implications for immediate planning and design of anticipatory actions |
| title_full | Urgent flood hazard assessment using multi-sensor data in refugee hosting community settings: implications for immediate planning and design of anticipatory actions |
| title_fullStr | Urgent flood hazard assessment using multi-sensor data in refugee hosting community settings: implications for immediate planning and design of anticipatory actions |
| title_full_unstemmed | Urgent flood hazard assessment using multi-sensor data in refugee hosting community settings: implications for immediate planning and design of anticipatory actions |
| title_short | Urgent flood hazard assessment using multi-sensor data in refugee hosting community settings: implications for immediate planning and design of anticipatory actions |
| title_sort | urgent flood hazard assessment using multi sensor data in refugee hosting community settings implications for immediate planning and design of anticipatory actions |
| topic | flooding risk management refugees communities early warning systems monitoring resilience remote sensing satellites rainfall nature-based solutions irrigated land citizen science |
| url | https://hdl.handle.net/10568/158207 |
| work_keys_str_mv | AT hailealemsegedtamiru urgentfloodhazardassessmentusingmultisensordatainrefugeehostingcommunitysettingsimplicationsforimmediateplanninganddesignofanticipatoryactions AT bekeletw urgentfloodhazardassessmentusingmultisensordatainrefugeehostingcommunitysettingsimplicationsforimmediateplanninganddesignofanticipatoryactions AT negashed urgentfloodhazardassessmentusingmultisensordatainrefugeehostingcommunitysettingsimplicationsforimmediateplanninganddesignofanticipatoryactions AT mekuriawolde urgentfloodhazardassessmentusingmultisensordatainrefugeehostingcommunitysettingsimplicationsforimmediateplanninganddesignofanticipatoryactions AT ruckstuhlsandra urgentfloodhazardassessmentusingmultisensordatainrefugeehostingcommunitysettingsimplicationsforimmediateplanninganddesignofanticipatoryactions |