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http://hdl.handle.net/20.500.11765/14783
Impact of mixing layer height variations on air pollutant concentrations and health in a European urban area: Madrid (Spain), a case study
Title: | Impact of mixing layer height variations on air pollutant concentrations and health in a European urban area: Madrid (Spain), a case study |
Authors: | Salvador, Pedro; Pandolfi, Marco; Tobías, Aurelio; Gómez Moreno, Francisco Javier; Molero Menéndez, Francisco; Barreiro, Marcos; Pérez, Noemí; Revuelta, María Aránzazu
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Keywords: | Mixing layer height; Urban air pollution; Gaseous pollutants; Particle number concentration; Health effects |
Issue Date: | 2020 |
Publisher: | Springer |
Citation: | Environmental Science and Pollution Research. 2020, 27, p. 41702–41716 |
Publisher version: | https://doi.org/10.1007/s11356-020-10146-y |
Abstract: | The occurrence of local high-pollution episodes in densely populated urban areas, which have huge fleets of vehicles, is currently one of the most worrying problems associated with air pollution worldwide. Such episodes are produced under specific meteorological conditions, which favour the sudden increase of levels of air pollutants. This study has investigated the influence of the mixing layer height (MLH) on the concentration levels of atmospheric pollutants and daily mortality in Madrid, Spain, during the period 2011–2014. It may help to understand the causes and impact of local high-pollution episodes. MLH at midday over Madrid was daily estimated from meteorological radio soundings. Then, days with different MLH over this urban area were characterized by meteorological parameters registered at different levels of an instrumented tower and by composite sea level pressure maps, representing the associated synoptic meteorological scenarios. Next, statistically significant associations between MLH and levels of PM, PM, NO, NO, CO and ultra-fine particles number concentrations registered at representative monitoring stations were evaluated. |
URI: | http://hdl.handle.net/20.500.11765/14783 |
ISSN: | 0944-1344 1614-7499 |
Appears in Collections: | Artículos científicos 2019-2022 |
Files in This Item:
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![]() | ESPRI_Salvador_2020.pdf | 179,29 kB | Adobe PDF | ![]() View/Open |
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