Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/39118
Título: | Spatial-temporal modellization of the NO2 concentration data through geostatistical tools |
Autor(es): | Menezes, Raquel Piairo, Helena Garcia-Soidán, Pilar Sousa, Inês |
Palavras-chave: | Geostatistics Time series analysis Space-time analysis NO2 (Formula presented.) |
Data: | 2016 |
Editora: | Springer Heidelberg |
Revista: | Statistical Methods and Applications |
Resumo(s): | The nitrogen dioxide is a primary pollutant, regarded for the estimation of the air quality index, whose excessive presence may cause significant environmental and health problems. In the current work, we suggest characterizing the evolution of NO2 levels, by using geostatisti- cal approaches that deal with both the space and time coordinates. To develop our proposal, a first exploratory analysis was carried out on daily values of the target variable, daily measured in Portugal from 2004 to 2012, which led to identify three influential covariates (type of site, environment and month of measurement). In a second step, appropriate geostatistical tools were applied to model the trend and the space-time variability, thus enabling us to use the kriging techniques for prediction, without requiring data from a dense monitoring network. This method- ology has valuable applications, as it can provide accurate assessment of the nitrogen dioxide concentrations at sites where either data have been lost or there is no monitoring station nearby. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/39118 |
DOI: | 10.1007/s10260-015-0346-3 |
ISSN: | 1618-2510 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CMAT - Artigos em revistas com arbitragem / Papers in peer review journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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SMAP_RMenezes_et_al.pdf | 3,79 MB | Adobe PDF | Ver/Abrir |