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1.
Environ Sci Process Impacts ; 18(12): 1561-1571, 2016 Dec 08.
Artigo em Inglês | MEDLINE | ID: mdl-27886312

RESUMO

European Committee for Standardisation (CEN) Technical Committee 264 'Air Quality' has recently produced a standard method for the measurements of anions and cations in PM2.5 within its Working Group 34 in response to the requirements of European Directive 2008/50/EC. It is expected that this method will be used in future by all Member States making measurements of the ionic content of PM2.5. This paper details the results of a field measurement campaign and the statistical analysis performed to validate this method, assess its uncertainty and define its working range to provide clarity and confidence in the underpinning science for future users of the method. The statistical analysis showed that, except for the lowest range of concentrations, the expanded combined uncertainty is expected to be below 30% at the 95% confidence interval for all ions except Cl-. However, if the analysis is carried out on the lower concentrations found at rural sites the uncertainty can be in excess of 50% for Cl-, Na+, K+, Mg2+ and Ca2+. An estimation of the detection limit for all ions was also calculated and found to be 0.03 µg m-3 or below.


Assuntos
Poluentes Atmosféricos/normas , Ânions/análise , Ânions/normas , Cátions/análise , Cátions/normas , Monitoramento Ambiental/legislação & jurisprudência , Material Particulado/normas , Poluentes Atmosféricos/análise , Monitoramento Ambiental/métodos , Europa (Continente) , Material Particulado/análise , Padrões de Referência
2.
J Environ Monit ; 10(8): 941-50, 2008 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-18688463

RESUMO

The need to collect data representative of overall urban pollution is all-important in order to monitor the population exposure. High spatial resolution monitoring using diffusive samplers allows studying of the urban pollutant distribution, thus enabling deeper investigation of their generation and diffusion mechanisms. Nevertheless, such a monitoring campaign has a certain cost. In this study we point out how to find the best compromise between the number of necessary measurements and the affordable costs for monitoring campaigns. We also describe an innovative method for the proper design of a fixed urban monitoring network by means of preliminary high spatial resolution campaigns using diffusive samplers. Four European capital cities (Dublin, Madrid, Paris and Rome) were monitored six times, each time for seven days. Benzene, toluene, ethylbenzene, xylenes (BTEX) and NO(2) concentrations were measured at 146 sites in Dublin, 293 in Madrid, 339 in Paris and 290 in Rome. Multiscale grids have been drawn which ranged in mesh size from 500 m to 2 km. The statistical processing of data produced a twofold result: the creation of isoconcentration maps with geostatistical procedures, and an algorithm aimed at locating the minimum number of sampling sites where the fixed monitoring stations should be placed. Average urban levels estimated on the basis of these selected sites differ by less than 8% from those calculated on the whole populations of the sampled points. The aim of this work is to investigate how far the resolution of a monitoring campaign of urban pollution by diffusive sampling can be reduced, thus making the monitoring less expensive in terms of human and financial resources, while preserving the same quality of the results that could be achieved with a higher resolution. We found that there is no significant loss of information when the resolution of the monitoring grid for BTEX is lowered to a mesh size of 1.85 km, that is a sampling site each 3.4 km(2), and that the minimum number of sampling sites to be used is N = 0.29 A, where A is the urban surface to be monitored (in km(2)). As the spatial distribution of NO(2) is less sensitive to the distance from the emission source than that of BTEX, this relationship could be retained as a valid lower limit for the mesh grid size also for NO(2) monitoring.


Assuntos
Poluentes Atmosféricos/química , Monitoramento Ambiental/métodos , Cidades , Hidrocarbonetos/análise , Dióxido de Nitrogênio/análise , Controle de Qualidade , Fatores de Tempo
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