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Titel |
An analysis of the evolution of hydrometeorological extremes in newspapers: the case of Catalonia, 1982-2006 |
VerfasserIn |
M. C. Llasat, M. Llasat-Botija, M. Barnolas, L. López, V. Altava-Ortiz |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1561-8633
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Digitales Dokument |
URL |
Erschienen |
In: Natural Hazards and Earth System Science ; 9, no. 4 ; Nr. 9, no. 4 (2009-07-17), S.1201-1212 |
Datensatznummer |
250006883
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Publikation (Nr.) |
copernicus.org/nhess-9-1201-2009.pdf |
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Zusammenfassung |
This contribution analyzes the evolution of perception of certain natural
hazards over the past 25 years in a Mediterranean region. Articles from
newspapers have been used as indicator. To this end a specific Spanish
journal has been considered and an ACCESS database has been created with the
summarized information from each news item. The database includes data such
as the location of each specific article in the newspaper, its length, the
number of pictures and figures, the headlines and a summary of the published
information, including all the instrumental data. The study focused on
hydrometeorological extremes, mainly floods and droughts, in the northeast
of the Iberian Peninsula. The number of headlines per event, trends and
other data have been analyzed and compared with "measured" information, in
order to identify any bias that could lead to an erroneous perception of the
phenomenon. The SPI index (a drought index based on standardized accumulated
precipitation) has been calculated for the entire region, and has been used
for the drought analysis, while a geodatabase implemented on a GIS built for
all the floods recorded in Catalonia since 1900 (INUNGAMA) has been used to
analyze flood evolution. Results from a questionnaire about the impact of
natural hazards in two specific places have been also used to discuss the
various perceptions between rural and urban settings. Results show a better
correlation between the news about drought or water scarcity and SPI than
between news on floods in Catalonia and the INUNGAMA database. A positive
trend has been found for non-catastrophic floods, which is explained by
decrease of the perception thresholds, the increase of population density in
the most flood-prone areas and changes in land use. |
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