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| Titel |
QVAST: a new Quantum GIS plugin for estimating volcanic susceptibility |
| VerfasserIn |
S. Bartolini, A. Cappello, J. Martí, C. Negro |
| 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 ; 13, no. 11 ; Nr. 13, no. 11 (2013-11-27), S.3031-3042 |
| Datensatznummer |
250085568
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| Publikation (Nr.) |
 copernicus.org/nhess-13-3031-2013.pdf |
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| Zusammenfassung |
| One of the most important tasks of modern volcanology is the construction of
hazard maps simulating different eruptive scenarios that can be used in
risk-based decision making in land-use planning and emergency management. The
first step in the quantitative assessment of volcanic hazards is the
development of susceptibility maps (i.e., the spatial probability of a future
vent opening given the past eruptive activity of a volcano). This challenging
issue is generally tackled using probabilistic methods that use the
calculation of a kernel function at each data location to estimate
probability density functions (PDFs). The smoothness and the modeling ability
of the kernel function are controlled by the smoothing parameter, also known
as the bandwidth. Here we present a new tool, QVAST, part of the open-source
geographic information system Quantum GIS, which is designed to create
user-friendly quantitative assessments of volcanic susceptibility. QVAST
allows the selection of an appropriate method for evaluating the bandwidth for the
kernel function on the basis of the input parameters and the shapefile
geometry, and can also evaluate the PDF with the Gaussian kernel. When
different input data sets are available for the area, the total susceptibility
map is obtained by assigning different weights to each of the PDFs, which are
then combined via a weighted summation and modeled in a non-homogeneous
Poisson process. The potential of QVAST, developed in a free and
user-friendly environment, is here shown through its application in the
volcanic fields of Lanzarote (Canary Islands) and La Garrotxa (NE Spain). |
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