Aproximación a la vulnerabilidad sísmica de las edificaciones mediante SIG: la serie sísmica de la Vega de Granada (2020-2021) = Approach to the seismic vulnerability of buildings through GIS: the seismic series of the Vega de Granada (2020-2021).
DOI: https://doi.org/10.20868/ade.2022.5019
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La Vega de Granada es una de las comarcas españolas que presenta una mayor peligrosidad sísmica, donde se han registrado importantes eventos con intensidad macrosísmica (Io)≥VIII. A final de 2020 comenzó una serie sísmica (aún activa, en marzo de 2021), que ha alcanzado una Io=V-VI. En el marco de los estudios de riesgo sísmico, es necesario conocer la vulnerabilidad de las edificaciones. Así, esta investigación persigue estimar unos valores relativos de vulnerabilidad de las edificaciones. Para ello, partiendo de información proveniente de Catastro y del Instituto Geográfico Nacional, así como de las fechas de normativas sismorresistentes, se ha llevado a cabo un análisis multicriterio. Para la integración de los datos, los cálculos, la representación y el análisis de los mismos se ha empleado un sistema de información geográfica gratuito. Los resultados muestran que, principalmente, la zona oeste de Santa Fe es la que podría verse más afectada.
Abstract
La Vega de Granada is one of the Spanish regions with the highest seismic hazard, where important events with macroseismic intensity (Io)≥VIII have been recorded. At the end of 2020 a seismic series began (still active, in March 2021), which has reached an Io=V-VI. In the framework of seismic risk studies, it is necessary to know the vulnerability of buildings. Thus, this research aims to estimate relative vulnerability values of buildings. For this purpose, a multi-criteria analysis was carried out based on information from the Cadastre and the National Geographic Institute, as well as on the dates of seismic-resistant regulations. A free geographic information system was used for data integration, calculations, representation and analysis. The results show that the area west of Santa Fe is the most likely to be affected.
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