Tsunami exposure - 2022
Data and Resources
This dataset has no data
Additional Info
| Field | Value |
|---|---|
| Source | https://app.mapx.org/static.html?views=MX-F0DEE-12D97-6447B&zoomToViews=true#JAAc6 |
| Author | UNEP/GRID-Geneva |
| Maintainer | UNEP/GRID-Geneva |
| Last Updated | December 7, 2022, 08:24 (UTC) |
| Created | December 7, 2022, 08:24 (UTC) |
| GUID | MX-F0DEE-12D97-6447B |
| Issued | 2022-05-19 16:02:56 |
| Language | EN |
| Modified | 2022-10-11 19:30:30 |
| Publisher email | info@mapx.org |
| Publisher name | UNEP/GRID-Geneva |
| Theme | Web Map |
| data_type | geospatial |
| keywords_m49 | WLD |
| projects_description | Opportunity maps based on the combination of natural hazards, ecosystems and population exposure, showing where ecosystems can help prevent or mitigate hazards, reduce exposure to hazard impacts by functioning as natural buffers, and reduce vulnerability by supporting livelihoods |
| projects_id | MX-2LD-FBB-58N-ROK-8RH |
| projects_title | Ecosystem approaches for disaster risk |
| range_end_at_year | 2022 |
| range_start_at_year | 2019 |
| source_abstract | This dataset includes an estimation of the annual physical exposition to tsunamis. It is based on three sources: 1) A comprehensive list of reports and scientific papers compiled and utilized in producing tsunami hazard maps as well as finding return periods of future events. 2) Applying numerical tsunami models and zooming on selected areas. 3) Population density map (HRSL-GSHL) 2022. The layer integrates data from the High Resolution Settlement Layer (HRSL) - META (originally Facebook), the Global Human Settlement Layer (GHSL) - JRC, and the national population count for 2018 reported on the World Population Prospects 2019. Pixel counts are recalculated for 2022 based on the country population data reported for 2022 by the World Population Prospects 2019. |
| source_title | Tsunami exposure -2022 |
| spatial | WLD |