English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/210706
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:


Geolocation of premises subject to radon risk: Methodological proposal and case study in Madrid

AuthorsFrutos Vázquez, Borja ; Martín-Consuegra, Fernando; Alonso, Carmen; Frutos, Fernando de; Sánchez, Virginia; García-Talavera, Marta
Issue Date2019
CitationEnvironmental Pollution 247: 556-563 (2019)
AbstractUseful information on the potential radon risk in existing buildings can be obtained by combining data from sources such as potential risk maps, the ‘Sistema de Información sobre Ocupación del Suelo de España’ (SIOSE) [information system on land occupancy in Spain], cadastral data on built property and population surveys. The present study proposes a method for identifying urban land, premises and individuals potentially subject to radon risk. The procedure draws from geographic information systems (GIS) pooled at the municipal scale and data on buildings possibly affected. The method quantifies the magnitude of the problem in the form of indicators on the buildings, number of premises and gross floor area that may be affected in each risk category. The findings are classified by type of use: residential, educational or office. That information may guide health/prevention policies by targeting areas to be measured based on risk category, or protection policies geared to the construction industry by estimating the number of buildings in need of treatment or remediation. Application of the methodology to Greater Madrid showed that 47% of the municipalities have houses located in high radon risk areas. Using cadastral data to zoom in on those at highest risk yielded information on the floor area of the vulnerable (basement, ground and first storey) premises, which could then be compared to the total. In small towns, the area affected differed only scantly from the total, given the substantial proportion of low-rise buildings in such municipalities.
Publisher version (URL)https://doi.org/10.1016/j.envpol.2019.01.083
Appears in Collections:(IETCC) Artículos
Files in This Item:
File Description SizeFormat 
geolocatpremis.pdf1,81 MBAdobe PDFThumbnail
Show full item record
Review this work

Related articles:

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.