2014
DOI: 10.1016/j.atmosenv.2014.08.066
|View full text |Cite
|
Sign up to set email alerts
|

Influence of surface and subsidence thermal inversion on PM2.5 and black carbon concentration

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
38
0
3

Year Published

2016
2016
2022
2022

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 74 publications
(43 citation statements)
references
References 17 publications
2
38
0
3
Order By: Relevance
“…The occurrence of very low winds (67% of cases have V < ~1 m s -1 averaged over hours 20-23 LT in the months from May to August) in the area appears to be a necessary factor for high PM concentrations, confirming the findings by Gramsch et al (2006) and Gramsch et al (2014). Beyond the influence of the mean wind speeds on PM concentrations, the newly available data has allowed us to explore the impact of meandering and the occurrence of calm conditions.…”
Section: Discussionsupporting
confidence: 63%
See 1 more Smart Citation
“…The occurrence of very low winds (67% of cases have V < ~1 m s -1 averaged over hours 20-23 LT in the months from May to August) in the area appears to be a necessary factor for high PM concentrations, confirming the findings by Gramsch et al (2006) and Gramsch et al (2014). Beyond the influence of the mean wind speeds on PM concentrations, the newly available data has allowed us to explore the impact of meandering and the occurrence of calm conditions.…”
Section: Discussionsupporting
confidence: 63%
“…More recently, Ragsdale et al (2013) and Barrett et al (2012) documented the influence of the Madden-Julian oscillation on the air quality of Santiago. At a more local scale and closer to the scale addressed in the present work, Gramsch et al (2014) studied the influence of the thermal stability and other local meteorological factors on black carbon concentrations in Santiago. Due to the lack of continuous observations of vertical profiles of meteorological variables in Santiago, however, the stability characterization had to be performed with limited datasets: 3 months of temperature profiles measured by commercial aircraft operating at Santiago's airport, which provided only two morning soundings every day during the period, and 45-days of temperature measurements at the top and base of a 300-m hill in the valley.…”
Section: Introductionmentioning
confidence: 99%
“…These episodes occur at night and are related to adverse meteorological conditions such as thermal inversion and low wind speed (Rutland and Garreaud, 1995;Gramsch et al, 2000) as well as the location of the episode (Gramsch et al, 2006). It is not clear whether the episodes are related to a build-up of secondary PM 2.5 components or to freshly emitted pollutants (Gramsch et al, 2014). It is also well known that Santiago has a diurnal-nocturnal, valley-mountain wind cycle and as a result, the air mass can remain an average 2-3 days trapped on the city with the consequent enhancement of the secondary PM 2.5 fraction.…”
Section: Introductionmentioning
confidence: 99%
“…1, but during episodes, the wind speed is so low, that there is no predominant direction. These meteorological conditions favor building up of contaminants (Schaefer et al, 2006;Gramsch et al, 2014) therefore increasing pollution during episodes. Another feature that can be seen in the plots is that the increase in PM 2.5 is larger at night (8 pm-5 am) than during the day.…”
Section: Pollution Behavior During Episodesmentioning
confidence: 99%
“…Air masses following these trajectories would not be directly in contact with the polluted central Santiago region. In fact, they would be in contact with pollutants characteristics of the southern periphery of Santiago, where other studies have indicated (Seguel et al, 2013;Gramsch et al, 2014) that the air quality is not correlated with conditions in Santiago and sometimes even considered more representative of background aerosol concentrations. A detailed analysis of the individual trajectories in this cluster indicates arrival at the research site mainly between 1800 LT and 0300 LT. Recall that CN concentrations reached a maximum at the research site at 18:00 LT (Fig.…”
Section: Mesoscale Circulationsmentioning
confidence: 99%