Abstract
One year of, almost continuous, measurements of aerosol optical properties and chemical composition were performed at the outskirts of Praia, Santiago Island, Cape Verde, within the framework of CV-DUST (Atmospheric aerosol in Cape Verde region: seasonal evaluation of composition, sources and transport) research project, during 2011. This article reports the aerosol number and mass concentration measurements using a GRIMM Optical Aerosol Spectrometer that provides number size discrimination into 31 size ranges from 0.25 to 32 μm. Time series of 5 min average PM10 concentrations revealed peak values higher than 1000 μg.m−3 during winter dust storm events originating over Northern Africa. The 24 h average concentrations exceeded the World Health Organization (WHO) guidelines for PM2.5 and PM10 in 20 and 30% of the 2001 days, respectively. Annual average mass concentrations (±standard deviation) for PM1, PM2.5, and PM10 were 5 ± 5, 19 ± 21, and 48 ± 64 μg.m−3, respectively. The annual PM2.5 and PM10 values were also above the limits prescribed by the WHO (10 and 20 μg.m−3, respectively). The aerosol mass size distribution revealed two main modes for particles smaller than 10 μm: a fine mode (0.7–0.8 μm), which possibly results of gas to particle conversion processes; and a coarse mode with maxima at 3–4 μm, which is associated with desert dust and sea salt sources. Within the coarse mode two sub-modes with maxima at 5–6 and 10–12 μm were frequently present.
Introduction
Aerosol particles are ubiquitous in the atmosphere; their behavior and effects depend on their physical and chemical properties. Particles size and size distribution are important physical properties governing aerosol interaction with atmospheric radiation, cloud formation, transport and deposition, and health effects. Atmospheric aerosol particles present sizes ranging from a few nanometers to hundreds of micrometers. Several classifications based on particle size have been proposed to differentiate the atmospheric aerosol; the most common divides the aerosol into a coarse fraction, for supermicrometer larger particles, usually produced by mechanical processes, and a fine fraction, for submicrometer smaller particles, resulting mostly from gas to particle conversion.
One of the largest sources of atmospheric aerosol is the mechanical action of wind on dry surfaces, originating the so called atmospheric dust. Dust sources include industry (cement and mining), road traffic and agriculture, but the overwhelming source of atmospheric dust is natural soil. Wind-blown dust is emitted mainly as coarse particles, but an important fraction is also in the fine size range. Together with sea salt spray formation over the oceans, soil wind-blown dust is the largest source of atmospheric aerosol with an estimated global emission rate of 250 Tg.year−1 of fine particles and 1000–4875 Tg.year−1 of coarse particles (Raes et al., ).
The main source regions of wind-blown dust are desert areas. Although desert regions such as the Arabian Peninsula, Iran, Afghanistan, China, Namib and Kalahari are important atmospheric dust sources, the North Africa's Sahara region is by far the major source of soil dust with an estimated production of 130–760 Tg.yr−1 (Goudie and Middleton, ), but some estimates put the number at as high as 1600 Tg.yr−1 (Ozer, ). From satellite data observations, the main dust emission regions in North Africa are the Bodélé depression, in Chad, and the Mali-Mauritanian border area, (Engelstaedter et al., ), but the southern Sahel region can contribute also with up to one third of North African dust emissions (Ginoux et al., ).
Multiannual and seasonal significant variability in North Africa dust concentrations and emissions have been reported (Engelstaedter et al., ); these variations have been attributed mostly to seasonal and long-term changes in rainfall patterns. Drought conditions in Sahel seem to affect dust emissions in these areas in the years immediately following a drought year (Chiapello et al., ), probably as result of decaying in vegetation covering. Field and satellite observations show strong seasonal variations in North African dust emissions. While in some regions such as Bodélé Depression are active emitters the whole year, dust emission activity seem to peak during summer in Western and North Western Sahara areas (Engelstaedter et al., ).
Sahara dust emissions are transported to neighboring areas in the Mediterranean, Europe, Western Asia and Atlantic. Kaufman et al. () estimated North African annual dust transport to the west to be 240 ± 80 Tg, of which 140 Tg are deposited in the Atlantic Ocean, 20 Tg are transported toward Europe, 50 Tg fertilize the Amazon basin and 50 Tg reach the Caribe.
The transport of Sahara dust is strongly affected by variations in the position of the Inter Tropical Convergence Zone (ITCZ). During winter Hartmattan winds blow, at low altitudes, from Northeast to the ITCZ located at 5–10°N, transporting dust at the surface to regions off the African west coast, such as the Cape Verde islands (Engelstaedter et al., ). In summer the ITCZ moves to the North and transport of dust to the west Atlantic region happens preferably at higher altitudes; during summer at sea level wind blows preferentially from non-continental areas (Gama et al., submitted).
African desert dust has significant impacts on atmospheric heat balance and climate control, weakening Atlantic Tropical cyclones (Wu, ), on biogeochemical cycles in the Atlantic and Amazon basin (Mahowald et al., ) and on human health in Africa and surrounding regions, since it has been related with the spreading of meningitis in Sahel (Sultan et al., ) and seems to have an impact on the incidence of asthma and cardio vascular illnesses (De Longueville et al., ).
Although satellite information and transport modeling are powerful techniques to assess African desert dust role in the atmosphere, in-site aerosol measurements are fundamental complementary tools to evaluate atmospheric dust loading and transport from source regions. Long term measurements over the Atlantic to determine Sahara dust transport to the west are difficult to implement. Due to its location on the tropical North Atlantic, off the west coast of Africa, the Cape Verde Islands are particularly suitable to study the transport of Saharan dust plumes to the Atlantic, Caribbean Sea, and Amazon Basin (Prospero et al., ; Reid et al., ; Muhs et al., ). The geographical location of the Cape Verde Islands has attracted a number of important field experiments during the last decades (Jaenicke and Schutz, ; Moulin et al., ; Caquineau et al., ; Ratmeyer et al., ; Tanré et al., ; Nalli et al., ; Ansmann et al., ; Assmann et al., ; Chen et al., ). Most of these experiments consisted of short-term intensive campaigns and long term measurements covering all seasons are still scarce. Therefore, a 1 year continuous field measurement campaign was conducted during 2011 in Santiago Island, Cape Verde, within the framework of CV-DUST project, to collect and measure the atmospheric aerosol on air masses passing over the island. The aerosol physical and chemical properties, as well as the aerosol origin, estimated by transport and source apportionment modeling, were already described elsewhere (Almeida-Silva et al., , ; Gama et al., submitted; Gross et al., submitted; Almeida et al., in preparation). This article only describes and discusses the results of measurements performed with a GRIMM aerosol spectrometer, relative to aerosol size distribution and PM1 (particles mass, smaller than 1 μm), PM2.5 (particles mass, smaller than 2.5 μm), and PM10 (particles mass, smaller than 10 μm) concentration variability, across seasons. There is very little published information concerning standard PM concentrations and size distributions for this region of Africa, on a seasonal scale, and therefore this information will be quite useful for modeling and health evaluation studies.
Materials and methods
The GRIMM aerosol optical spectrometer
Several types of instrumentation can be used to physically characterize atmospheric particles but none is capable of fully specify all aerosol size ranges. Aerosol Optical Spectrometers (AOS) are relatively affordable devices employed in the measurement of atmospheric aerosol size differentiated concentrations. Operation of these instruments is based on the univocal relation between particle size and its light scattering properties. AOSs are sensitive to measure atmospheric particles, but only for size ranges above 100–300 nm, and are specially adapted to the measurement of mechanically produced coarse aerosols such as soil dust and sea salt spray. Aerosol light scattering characteristics are highly dependent on particle size, shape and Refractive Index (RI), in accordance with the equation: where I is the light scattering intensity from the particle, k is a constant depending on the instrument geometry characteristics, Θ is the scattering angle, Dp is the particle size (and shape) and f is the scattering intensity function (intensity of light scattering in Θ direction for a particle of size Dp and RI = n-ik). For spherical particles function f is given by the Mie theory. For non-spherical particles the function is more complex and several methods such as the Discrete Dipole Approximation can be employed (Yurkin and Hoekstra, ).
The GRIMM Spectrometer model EDM 164 employed in the present work uses multi-channel light scattering optics as the measuring principle; a detailed description with schematic diagrams of a similar instrument can be found in Grimm and Eatough (). The instrument is provided with a laser diode emitting at γ = 660 nm. Air is sucked continuously, at 1.2 l.min−1, into a measuring chamber. There, each single particle is illuminated by the laser beam, providing a scattering pulse height, directly related to the particle size. The particle scatters light in all directions in accordance with Maxwell theory. One fraction of this light is collected by a photo diode located at a 90° angle with the laser beam, with the help of a parabolic mirror located in the opposite direction. All scattered light between Θstart = 60° and Θstop = 120° is reflected by the parabolic mirror to the photo-detector, which collects and measures the arriving scattered and reflected laser photons. An algorithm (a manufacturer secret but probably based on Mie theory) relates the intensity of the measured scattered light impulse with the size of the particle. Grimm spectrometers are factory calibrated with polystyrene latex (PSL). The calibration is used for tuning the algorithm relating measured scattered light with particle size, for each instrument.
The instrument provides information on number concentration, in 31 size bins, for particles with sizes from 0.25 to 32 μm, for atmospheric aerosol loadings in the range 0.1–6000 μg.m−3. Number concentration time averages can be registered in the internal data logger for periods from 6 s to 1 h; during the CV-DUST sampling campaign, 5 min averaged number concentrations were registered for the 31 size bins.
The instrument is provided with a screened entrance head in accordance with Johannesburg Convention which, in accordance with the manufacturer, permits efficient entrance of particles of sizes up to 10–20 μm, for wind speeds up to 8 m.s−1 (Grimm and Eatough, ).
GRIMM field calibration
Volume size distributions can be derived from number size distributions if the form of particles is known or guessed. The Cape Verde atmospheric aerosol is a mixture of different types of particles with predominance of soil dust and sea salt spray. In the present study, we consider that dust is the prevailing component of the aerosol, making all calculations as if the aerosol is only formed by dust, as a valid approximation. Although desert dust particles are not truly spherical, presenting a Dynamic Shape Factor (χ) of around 1.25 (Kaaden et al., ), sphericity was used as an approximation in number to volume transformation. For comparison purposes, the dynamic shape factor for sodium chloride in the continuum regime is χ = 1.08 (Kelly and McMurry, ; Gysel et al., ).
Sahara dust particles measured previously at Cape Verde and in Morocco showed a specific dry mass between 2.45 and 2.7 g.cm−3 (Haywood et al., ; Kaaden et al., ). An average density of 2.5 g.cm−3 was employed here to calculate mass concentration and mass size distribution from the number distribution of GRIMM measurements. For comparison, the dry density of sodium chloride is approximately 2.16 g.cm−3 (Schladitz et al., ).
The GRIMM AOS is calibrated at the factory with PSL. As PSL is colorless, having a RI of 1.59 and desert dust has a reddish-brownish color, it is possible that the factory calibration does not reproduce correctly the light scattering behavior of the Cape Verde dust aerosol. During the CVDUST campaign the aerosol was collected in parallel, as PM10 (mass concentration of particles with diameters lower than 10 μm), in filters, and mass concentrations determined gravimetrically. A comparison between calculated time averaged GRIMM mass concentrations and PM10 gravimetric measurements is possible for equivalent sampling/measurement periods. The comparison is not direct because the GRIMM provides geometric size distributions while gravimetric PM10 determination is based on the pre-removal of coarser particles with a size selective inlet that uses impaction to separate particles according to their aerodynamic equivalent size. PM10 inlets present a sigmoidal efficiency curve, in accordance with USEPA (United States Environmental Protection Agency) regulations (USEPA, ). Therefore, to calculate aerodynamic PM10 from GRIMM mass size distribution, the aerodynamic equivalent size efficiency curve of the PM10 inlet needs to be transformed into an efficiency curve for the dust geometric size. The transformation was done using Stokes Law approximation: where Dpgeo and Dpaer are respectively the geometric and aerodynamic equivalent diameters, χ is the dynamic shape factor, ρ is the density of the particle and ρ0 is the density of water.
An adapted impactor efficiency curve for geometric size particles based on previous equation for particles with a χ = 1.25 and a ρ of 2.5 g.cm−3 can be seen in Figure 1. Aerodynamic PM10 concentrations were calculated for GRIMM measurements using the transformed sampling inlet efficiency curve shown in Figure 1. The intercomparison results between the GRIMM calculated PM10 and gravimetric aerodynamic PM10 are given in Figure 2. The figure shows a good linear correlation between the two measurement sets (R2 = 0.96) but the GRIMM under-predicts true mass concentrations by more than 40%. A better ratio for GRIMM measurements can be achieved by increasing substantially the proposed density of particles, which does not seem reasonable given what is known from experimental measurements, or by recalculating the particles size, from light scattering values, for the instrument, taking into account the RI characteristics of sampled dust.
Figure 1
Figure 2
Using the algorithm relating light scattering with aerosol size, that was developed based on the Mie theory, specifically for this instrument optical geometry, and gently provided by Thomas Müller (Leibniz Institute for Tropospheric Research, Leipzig, Germany), the particle diameters were recalculated from original factory calibration for different RIs. For γ = 660 nm, aerosol dust RIs vary between 1.53-0.001i and 1.53-0.005i (Kandler et al., ,; Muller et al., ). Figure 3 presents the recalculated diameter curve for dust particles having a RI = 1.53-0.005i; this figure shows that the new value of the RI increases the estimated value of bin diameters, principally for particles above 1 μm. Figure 4 shows the intercomparison between GRIMM and gravimetric PM10, after GRIMM diameter recalculation. The recalculated diameter values give mass concentration estimations much closer to gravimetric values (only 11% below); therefore the recalculated size bins are used in present measurements as a more correct estimate of concentrations and size distribution. As the Mie theory only applies to spherical particles and atmospheric dust has an irregular form, probably the new fitting gives excessive diameter values for most coarse measured particles. Also the GRIMM aerosol inlet is not prepared to efficiently collect giant particles. Therefore, particle concentrations with sizes greater than 10 μm measured with GRIMM were used with caution in this study.
Figure 3
Figure 4
Local and sampling conditions
The CVDUST measurement station was installed at approximately 8 m above the ground, in the roof platform of the Cape Verde Meteorological Institute (CVMI), on the eastern outskirts of Praia city, the capital of the Republic of Cape Verde (90,000 inhabitants), in Santiago Island, at about 650 Km from the western coast of Senegal (see Map in Figure 5). The CVMI is located in the ex-traffic control tower of the former Praia airport, (14° 55'N; 23° 29'W; 98 m a.s.l.), at a distance of 200 m from the road connecting the new airport to the city center and 1700 m from sea shore. Therefore, aerosol concentrations are affected by both the transport of dust from Africa and by local dust and anthropogenic emissions. Other important particle sources are sea salt spray and long-range transport of pollution.
Figure 5
The aerosol was collected and measured continuously during 2011, with exception of periods of electric power supply failure, which were quite frequent. Longer sampling interruptions occurred during the months of September and December as a result of equipment breakdown and/or removal; overall the equipment was able to gather aerosol data during 83% of the sampling campaign period. During the measuring campaign more than 100,000, 5 min averaged, samples were taken with the GRIMM. The data set contains approximately 2.5 million data concentration points for all size bins.
The local climate is humid but with scarce rainfall and the region is classified as semi-desert. The islands have a short wet season during the period of July to October, with some rain, and a dry season in the rest of the year. Total rainfall during the study period was 150 mm, and most of it was collected from August to October. Monthly averaged relative humidity varied between a minimum of 65% in February and a maximum of 81% in August. Monthly temperature averages were in the range 21 to 27°C.
During the period of November to March wind conditions favor the transport of air masses from west Africa at low altitudes, in the boundary layer, resulting in a quite dusty atmospheric environment, locally designed by “bruma seca” (dry fog).
Results and discussion
PM concentrations
Number concentrations measured with the GRIMM were used to calculate PM1 (mass concentration of particles with diameters lower than 1 μm), PM2.5 (mass concentration of particles with diameters lower than 2.5 μm) and PM10. The stored and calculated PM, 5 min averaged, mass concentrations show a large temporal variability, revealing the inhomogeneity of dust plumes transported from the African continent (standard deviations of 89, 115, and 133% for PM1, PM2.5, and PM10, respectively). Therefore, for PM climatology purposes, PM data are presented graphically in Figure 6, as 24 h run averages to permit enough variability attenuation and a better visualization of concentration values along all year. The results confirm the presence of substantial dust contamination during “bruma seca” months of December to February and lower values during the rest of the year. During winter months dust episodes can last for more than 1 week with important concentration variability within periods of hours. During dust events, 5 min average PM10 concentrations can reach values higher than 1000 μg.m−3, while 24 h run average values can reach maxima of 460 μg.m−3. Figure 7 represents one of those peak events, in January; the figure shows that short-term concentration variability happens principally for coarser size fractions.
Figure 6

PM1, PM2.5, and PM10, 24 h geometric mass concentration running averages, for GRIMM recalibrated measurements.
Figure 7

Five minutes averaged PM1, PM2.5, and PM10 concentration variability of a dust episode during the month of January, 2011.
Backward trajectories were calculated for all year using the Hysplit model (Draxler and Hess,
Figure 8

Hysplit 48 h backward trajectories of air masses arriving at Praia, for two distinct periods in 2011. (A) End of April and beginning of May, when PM10 mass concentrations exhibited minimum values; (B) 11–14 January with strong dust transport from West Africa, when PM10 mass concentrations were peaking. Each color represents a 48 backward trajectory. Trajectories were evaluated at each 6 h intervals.
Although the aerosol number concentration is mostly associated with submicrometer particles, the aerosol mass is mainly associated with the coarse supermicrometer fraction, preferentially above 2.5 μm. Annual average concentrations for PM1, PM2.5, and PM10 were 5 ± 5, 19 ± 21, and 48 ± 64 μg.m−3, respectively.
Up to now there is no consistent published information about annual average PM mass concentration from other studies to compare with our results. Published data on African dust concentrations usually refer to short term sampling campaigns or to measuring methodologies, such as bulk sampling, that do not permit direct retrieval of for PM1, PM2.5, or PM10 seasonal orannual averaged levels. Chiapello et al. (
An intensive 1 month field experiment run in Praia during January 2008 integrated in the SAMUM-2 campaign revealed PM10 values of the order of 29 μg.m−3, during transport of maritime air masses, and of 223 μg.m−3, during dust events with air masses transported directly from Africa (Kandler et al.,
World Health Organization prescribed maxima annual average concentrations of 10 and 20 μg.m−3, and 24 h average concentrations of 25 and 50 μg.m−3, for PM2.5 and PM10, respectively, which were recommended to provide public health protection (WHO,
Figure 9

Monthly averaged PM1, PM2.5, and PM10 concentrations, for each month of 2011. Values for December are less representative of average conditions during this month because of important measuring interruptions.
These dust contamination levels may have important health effects on the Cape Verde human population. Although, detailed statistical health information is not available for the country, it is widely recognized locally that hospital admissions in relation to respiratory/cardiovascular diseases increase during the “bruma seca” periods.
Despite the high aerosol mass concentrations found in the Cape Verde atmosphere during CV-DUST, these values were clearly lower than those reported before in continental West African areas, near dust sources. Kandler et al. (
An intensive field campaign of aerosol measurement was performed in Senegal during February 2006, as part of the AMMA project (Flament et al.,
Dust particles resulting from African desert emissions can impact regions located a significant distance from source emission areas. Average Total Suspended Particles (TSP) concentrations (0.5–25 μm particles) of 18, 53, and 134 μg.m−3, were found in 1996, 1997, and 1998, respectively, in Ghana, at a distance of 3000 Km from dust production zones, during Hartmattan wind periods (Afeti and Resch,
Measurements performed during 2005–2008 at the Izaña GAW Observatory, in Tenerife Island (Canary Islands), at 2367 m a.s.l., revealed, most of the time, PM10 levels of the order of 1–5 μg.m−3, characteristic of the free troposphere. Twenty-four hour average PM10 concentrations could reach values as high as 150 μg.m−3 during periods of Saharan dust advection (Rodriguez et al.,
Size distributions
Particles size distribution provides important information concerning atmospheric aerosol behavior and its effect on radiative transfer and health. The GRIMM is sensitive only to particles above 0.25 μm and therefore no information concerning Nucleation and Aitken particles can be taken from this instrument. Figure 10 shows the annual average number and mass size distribution of Cape Verde aerosol during 2011. While for number, most of the particles concentrate in diameters lower than 0.6 μm, for mass the bulk of the aerosol is above 1 μm. The annual mass size distribution shows clearly the existence of two main modes under 10 μm size: a smaller mode with maximum at 0.7–0.8 μm and a larger coarse mode with a maximum at 3–4 μm. The instrument measurements also reveals the existence of a second coarser mode for particles larger than 10 μm but neither the instrument entrance geometry nor the measurement principle were developed to measure giant particles and therefore these results will not be discussed in detail. The annual average size distribution is mainly influenced by peak concentrations in January and February during the “bruma seca” period.
Figure 10

Yearly averaged mass and number concentration size distributions for the Praia atmospheric aerosol during 2011.
Figure 11 presents the monthly averaged mass size distributions for each of the 2011 months. The figure reveals the existence of multimodal size distributions for particles above 1 μm. The main mode with maximum at 4 μm is more evident during months with strong dust events. A second mode at 5–6 μm becomes predominant at lower intermediate aerosol loadings. There is also a constant presence of a mode with maximum at 10–12 μm. These multiple aerosol modes in coarse particles may reflect the multiple sources and formation/transport processes contributing to the coarse aerosol loading in Praia atmosphere, at ground level. The coarse aerosol at this site results from dust transport from Africa at low altitude, from local emission of dust by the action of the wind on the island bare and dusty soil (Santiago island has a semi desert landscape), from human activities (road traffic, building construction, etc.) and from the constant presence of sea salt spray from the surrounding ocean. Each one of those sources may imprint the size distribution with slightly different mode maxima. Local intense human activities and soil characteristics result in the constant emission of dust that adds to the long range transported atmospheric dust loading. In periods of “bruma seca” this local emissions are difficultly discerned from North Africa imports because of the high variability of this contamination (see Figure 7). But in periods non-affected by direct African plumes the local dust imprint can easily be seen from the daily patterns in concentration variability. As shown in Figure 12 hourly variations in size distributions presented a common daily pattern in the coarser size bins (>2.5 μm) with minimum coarse particle concentration values during night and maximum values during the daytime period when road traffic and human activities peak.
Figure 11

Monthly averaged mass concentration size distributions of the Praia atmospheric aerosol, for every 2011 month.
Figure 12

Four hours average mass concentration size distributions during 2 days without direct Saharan dust intrusions. (A) 2nd May, 2011; (B) 12th June, 2011.
Goudie and Middleton (
Our results compare well with Goudie and Middleton (
Rajot et al. (
Rodriguez et al. (
The AERONET station in Sal Island, Cape Verde, (http://aeronet.gsfc.nasa.gov) provides Aerosol Optical Depth (AOD) information related with the aerosol column in the atmosphere. The AOD values show that the intense aerosol layer over the Cape Verde Islands in 2011 was not only observed during the “bruma seca” winter period but also during summer months. Aerosol transport modeling applied to Saharan dust transport in 2011 (Gama et al., submitted) revealed that while, in winter, the aerosol is transported to the islands at low altitudes, impacting directly the surface, during summer, transport occurs only at higher altitudes. A similar behavior was observed in Cape Verde in previous studies (Assmann et al.,
Figure 13

Monthly averaged, column integrated, volumetric size distributions retrieved from AOD measurements in AERONET station at Sal Island, Cape Verde. No data is available for August-October.
Conclusions
Aerosol concentrations were measured almost continuously during the entire year of 2011 with a GRIMM Optical Aerosol Spectrometer that provides number concentrations in 31 size bins between 0.25 and 32 μm. The GRIMM AOS was recalibrated from co-collected gravimetric PM10 aerosol measurements, taking into account the real dust aerosol RI, thus permitting a much better comparison with gravimetric aerosol concentration data.
Mass size distributions and PM1, PM2.5, and PM10 were calculated from number concentration measurements, with basis on dust specific density. PM concentration values peaked during winter months and were much lower during the rest of the year. Annual average mass concentrations for PM1, PM2.5, and PM10 were 5, 19, and 48 μg.m−3, respectively. During some dust events, 5 min average PM10 concentrations increased to values higher than 1000 μg.m−3, while 24 h run average values reached maxima of 460 μg.m−3. Daily concentration levels were above the WHO recommended guidelines during 20–30% of the days, in 2011. Also the PM2.5 and PM10 annual averages were well above the WHO recommended limits. As pointed by De Longueville et al. (
Mass concentration size distributions revealed the presence of two main modes under the 10 μm size range: a smaller mode with a maximum at 0.7–0.8 μm and a larger broad coarse mode with a maximum at 3–4 μm. While the fine mode is possibly the result of gas to particle conversion processes, the coarser particles, above 1 μm, have a clear origin in dust or/and sea salt formation and transport. A closer inspection for particles above 1 μm reveals the existence of multimodal size distributions. The main mode, with maximum at 4 μm is more evident during strong dust events. A second mode at 5–6 μm becomes predominant at lower intermediate aerosol loadings. There is also a constant presence of a mode with maximum at 10–12 μm. These multiple aerosol modes in coarse particles may reflect the multiple sources and formation/transport processes contributing to the coarse aerosol loading in the Praia atmosphere at ground level. The coarse aerosol at this site is the result of dust transport from Africa at low altitude, from local emission of dust by the action of wind on the island bare soil, from human activities (road traffic, building construction, etc.) and from the constant presence of sea salt spray from the surrounding ocean. Each one of those sources may imprint the size distribution with slightly different mode maxima.
Comparison of Cape Verde measurements with previously reported concentration data from Western Africa reveals that although high the PM levels at Cape Verde are significantly lower than in Western Africa continental regions, principally in relation to giant particle loadings. Measured size distributions compare reasonably well with AERONET size information taken from AOT measurements in the Cape Verde's Sal Island and with other size distribution measurements performed under Saharan dust intrusions.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Statements
Acknowledgments
The authors gratefully acknowledge the Portuguese Science Foundation through the project CV-DUST—Atmospheric aerosol in Cape Verde region: seasonal evaluation of composition, sources and transport (PTDD/AAC-CLI/100331/2008) and the PhD scholarship of João G. Cardoso.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Summary
Keywords
Sahara dust, Cape Verde, PM levels, size distribution, seasonal variation
Citation
Pio CA, Cardoso JG, Cerqueira MA, Calvo A, Nunes TV, Alves CA, Custódio D, Almeida SM and Almeida-Silva M (2014) Seasonal variability of aerosol concentration and size distribution in Cape Verde using a continuous aerosol optical spectrometer. Front. Environ. Sci. 2:15. doi: 10.3389/fenvs.2014.00015
Received
24 January 2014
Accepted
29 April 2014
Published
20 May 2014
Volume
2 - 2014
Edited by
Paulo Artaxo, University of São Paulo, Brazil
Reviewed by
Sagnik Dey, Indian Institute of Technology Delhi, India; Nan Hao, German Aerospace Center, Germany
Copyright
© 2014 Pio, Cardoso, Cerqueira, Calvo, Nunes, Alves, Custódio, Almeida and Almeida-Silva.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Casimiro A. Pio, Department of Environment and Planning, University of Aveiro, Campus de Santiago, 3810-193 Aveiro, Portugal e-mail: casimiro@ua.pt
This article was submitted to Atmospheric Science, a section of the journal Frontiers in Environmental Science.
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