Bullo, M.; Lakkis, G.; Pustilnik, M.; Bonfiglio, J.I.; Di Pasquale, R.; Gonzalez, L.M.; Gonzalez-Aleman, G.; Lamas, M.C.; Salvia, A.; Langsam, M.; Olego, T.; Starosta, V.; Perez-Lloret, S. The Relationship between PM2.5 and Health Vulnerability in Argentina in 2010. Atmosphere2023, 14, 1662.
Bullo, M.; Lakkis, G.; Pustilnik, M.; Bonfiglio, J.I.; Di Pasquale, R.; Gonzalez, L.M.; Gonzalez-Aleman, G.; Lamas, M.C.; Salvia, A.; Langsam, M.; Olego, T.; Starosta, V.; Perez-Lloret, S. The Relationship between PM2.5 and Health Vulnerability in Argentina in 2010. Atmosphere 2023, 14, 1662.
Bullo, M.; Lakkis, G.; Pustilnik, M.; Bonfiglio, J.I.; Di Pasquale, R.; Gonzalez, L.M.; Gonzalez-Aleman, G.; Lamas, M.C.; Salvia, A.; Langsam, M.; Olego, T.; Starosta, V.; Perez-Lloret, S. The Relationship between PM2.5 and Health Vulnerability in Argentina in 2010. Atmosphere2023, 14, 1662.
Bullo, M.; Lakkis, G.; Pustilnik, M.; Bonfiglio, J.I.; Di Pasquale, R.; Gonzalez, L.M.; Gonzalez-Aleman, G.; Lamas, M.C.; Salvia, A.; Langsam, M.; Olego, T.; Starosta, V.; Perez-Lloret, S. The Relationship between PM2.5 and Health Vulnerability in Argentina in 2010. Atmosphere 2023, 14, 1662.
Abstract
PM2.5 levels affect human health. However, its relationship with other health vulnerability determinants has not been sufficiently explored. Furthermore, public access to PM2.5 datasets, linkable to health statistics, is not available. We built a georeferenced database and map of annual mean PM2.5 emissions and air concentrations values in Argentina in 2010 and explored their correlations with other health vulnerability determinants. We obtained data for montlhy PM2.5 values emissions and air concentrations in Argentina from public sources. We evaluated health vulnerability by the “Sanitary Vulnerability Index (SVI)”. Non-parametric correlations between variables below 0.22, corresponding to a R2=5%, were deemed meaningless. PM2.5 emissions concentrated in urban and intensive agricultural areas of Argentina. PM2.5 air concentrations were acceptable (≤10 microg/m3) in only 15% of the Argentinean territory, respectively. The correlation between air concentration of PM2.5 and human emission was meaningless. Emissions, but not air concentrations correlated >0.22 with indicators of human activity. SVI correlated meaninglessly with PM2.5 air concentration. In conclusion, PM2.5 levels were above acceptable levels in 85% of the Argentinian territory in 2010. The lack of meaningful correlations between PM2.5 and SVI suggest that these coefficients might be used in combination to assess health vulnerability. Further research is warranted.
Keywords
PM2.5; health vulnerability; air quality; map; public source
Subject
Environmental and Earth Sciences, Pollution
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.