 |
| Titel |
How useful and reliable are disaster databases in the context of climate and global change? A comparative case study analysis in Peru |
| VerfasserIn |
C. Huggel, A. Raissig, M. Rohrer, G. Romero, A. Díaz, N. Salzmann |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1561-8633
|
| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Sciences ; 15, no. 3 ; Nr. 15, no. 3 (2015-03-09), S.475-485 |
| Datensatznummer |
250119366
|
| Publikation (Nr.) |
 copernicus.org/nhess-15-475-2015.pdf |
|
|
|
|
|
| Zusammenfassung |
Damage caused by weather- and climate-related disasters have increased over
the past decades, and growing exposure and wealth have been identified as
main drivers of this increase. Disaster databases are a primary tool for the
analysis of disaster characteristics and trends at global or national
scales, and they support disaster risk reduction and climate change adaptation.
However, the quality, consistency and completeness of different disaster
databases are highly variable. Even though such variation critically
influences the outcome of any study, comparative analyses of different
databases are still rare to date. Furthermore, there is an unequal
geographic distribution of current disaster trend studies, with developing
countries being underrepresented.
Here, we analyze three different disaster databases in the developing-country
context of Peru: a global database (Emergency Events Database: EM-DAT), a multinational Latin
American database (DesInventar) and a national database (Peruvian National
Information System for the Prevention of Disasters: SINPAD). The analysis is
performed across three dimensions: (1) spatial scales, from local to
regional (provincial) and national scale; (2) timescales, from single
events to decadal trends; and (3) disaster categories and metrics, including
the number of single disaster event occurrence, or people killed and
affected.
Results show limited changes in disaster occurrence in the Cusco and
ApurÍmac regions in southern Peru over the past four decades but
strong positive trends in people affected at the national scale. We
furthermore found large variations of the disaster metrics studied over
different spatial and temporal scales, depending on the disaster database
analyzed. We conclude and recommend that the type, method and source of
documentation should be carefully evaluated for any analysis of disaster
databases; reporting criteria should be improved and documentation efforts
strengthened. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|