Abstract
Flood hazard maps display areas inundated by water bodies after extreme rainfall events occur, helping governments focus on performing protection works there. However, rainfall also causes small disasters at other moments, which are not included in these maps, such as traffic impedance and water-borne diseases, both inside and outside the mapped floodplain. Their mitigation would help build resilience and reduce inequality. Unfortunately, small disasters are overlooked in traditional risk management for being tolerable, mild, and scattered. Though they do occur with high frequency, it is challenging to get data sources to describe them accurately. Therefore, efforts must be made to base analyses on available on-site reports. The objectives of this paper are to relate small disasters to rainfall parameters and neighborhood attributes, and to prioritize neighborhoods for intervention in Cali, Colombia. Contributions provided here are useful to prioritize areas in other cities, and to follow better data gathering practices.
| Original language | English |
|---|---|
| Pages (from-to) | 1672-1681 |
| Number of pages | 10 |
| Journal | Urban Water Journal |
| Volume | 20 |
| Issue number | 10 |
| DOIs | |
| State | Published - 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Data analytics
- decision support system
- flood risk reduction
- small disasters
- weather impact research
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