**7. Strategic aspects for decision making**

Information on atmospheric pollution levels in general and external air quality (AQ) in particular is a widely discussed and developed aspect both in the scientific community and in the general population. However, an effort has been made by the scientific community to develop models that somehow predict and simulate PM concentration in the environment. An even more recent and ambitious step refers to the modelling of the human exposure to this pollutant, relating the activity of the individual and his time of permanence in this space with the environments in which he is in terms of PM concentration [31]. It is therefore essential that mitigation and mitigation measures should be implemented through National and International Plans and Programs that will lead to significant benefits for atmospheric PM levels to be significantly reduced with benefits to health [32]. These measures include:


**Author details**

**References**

2008

October 12, 2016]

João Nuno Pinto Miranda Garcia1,2\*, Joana Borrega1

Special Publication; 2001. pp. 960-963

de Lisboa e Vale do Tejo no período 2001-2013; 2014

\*Address all correspondence to: joao.garcia@estsetubal.ips.pt 1 Polytechnic Institute of Setubal (IPS), EST, Setubal, Portugal

2 CINEA-IPS, Centro de Investigação em Energia e Ambiente, Setúbal, Portugal

[1] WHO. Update of WHO Air quality guidelines 2008. WHO Regional Office for Europe;

Airborne PM Impact on Health, Overview of Variables, and Key Factors to Decision Making in Air Quality

[2] Hackley VA, Ferraris CF. The Use of Nomenclature in Dispersion Science and Technology, NIST Recommended Practice Guide. NIST. Washington, United States of America:

[3] HEI. State of Global Air 2018. Special Report. Boston, MA: Health Effects Institute; 2018

[4] Respostas para artigo de Saúde Ambiental Jornal Água & Ambiente [Internet]. 2015. Available from: https://www.apambiente.pt/\_cms/view/page\_doc.php?id=486 [Acessed:

[5] O Ar e os Poluentes Atmosféricos [Internet]. 2014. Available from: http://www.ccdr-lvt. pt/pt/o-ar-e-os-poluentes-atmosfericos/8082.htm [Accessed: October 12, 2016]

[6] Nogueira L, Mesquita S. Relatório de avaliação da qualidade do ar ambiente na região

[7] Iijima, Tago H, Kumagai K, Kato M, Kozawa K, Satob K, Furuta N. Regional and seasonal characteristics of emission sources of fine airborne particulate matter collected in the centre and suburbs of Tokyo, Japan as determined by multielement analysis and source receptor models. Journal of Environmental Monitoring. 2008;**10**:1025-1032

[8] Garcia J, Teodoro F, Cerdeira R, Coelho LMR, Kumar P, Carvalho MG. Developing a methodology to predict PM10 concentrations in urban areas using generalized linear models. Environmental Technology. 2016. pp. 1-34. DOI: 10.1080/09593330.2016.1149228

[9] Kumar P, Morawska L, Birmili W, Paasonen P, Hu M, Kulmala M, Harrison RM, Norford L, Britter R. Ultrafine particles in cities. Environment International. 2014;**66**:1-10

[11] Pohjola M, Kousa A, Aarnio P, et al. Meteorological interpretation of measured urban PM2.5 and PM10 concentrations in the Helsinki metropolitan area. In: Longhurst JWS, Brebbia

[10] Cordeiro GM, Demétrio CGB. Modelos Lineares Generalizados; 2007

and Luís M. R. Coelho1,2

http://dx.doi.org/10.5772/intechopen.79695

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