 |
| Titel |
A landslide susceptibility assessment in urban areas based on existing data: an example from the Iguaná Valley, Medellín City, Colombia |
| VerfasserIn |
J. Klimeš, V. Rios Escobar |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1561-8633
|
| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 10, no. 10 ; Nr. 10, no. 10 (2010-10-06), S.2067-2079 |
| Datensatznummer |
250008441
|
| Publikation (Nr.) |
 copernicus.org/nhess-10-2067-2010.pdf |
|
|
|
|
|
| Zusammenfassung |
| Fast urbanization and the morphological conditions of the Iguaná River
Basin, Medellín, Colombia have forced many people to settle on landslide
prone slopes as evidenced by extensive landslide induced damage. In this
study we used existing disaster databases (inventories) in order to examine
the spatial and temporal variability of landsliding within this watershed.
The spatial variability of landsliding was examined using "expert-based"
and "weighted" landslide susceptibility models. The constructed landslide
susceptibility maps demonstrate consistent results irrespective of the
underlying method. These show that at least 55.9% of the watershed is highly
or very highly susceptible to landsliding. In addition, the temporal
distribution of landsliding was analyzed and compared with climatic data.
Results show that the area has a distinct bimodal rainfall distribution, and
it is clear that landsliding is particularly frequent during the later rainy
season between October and November. Moreover, landslides are more common
during La Niña years. It is recommended that the existing landslide
inventories are improved so as to be of greater use in the future land use
planning of the watershed. The construction of landslide susceptibility maps
based on existing data represents a significant step towards landslide
mitigation in the area. Using susceptibility and hazard assessment during the
developmental process should lessen the need for disaster response at a later
stage. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|