Chemical characterization of PM10 samples collected simultaneously at a rural and an urban site in the Caribbean coast: Local and long-range source apportionment

Morera-Gómez, Yasser; Elustondo, David; Lasheras, E.; Alonso-Hernández, Carlos; Santamaría, Jesús Miguel

doi:10.1016/j.atmosenv.2018.08.058

Cited by 19 publications

(10 citation statements)

References 48 publications

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“…Similarly, we examined compositional differences between two sites in Cuba where samples were collected simultaneously at a rural and an urban site (Morera‐Gómez et al., 2018). Despite both sites being located on the coast with high deposition from sea‐spray aerosols and under the North African dust plume in a region with some of the largest atmospheric Mo deposition rates (Wong et al., 2020b), the urban area was characterized by a higher Mo concentration than the rural site.…”

Section: Resultsmentioning

confidence: 99%

“…Maenhaut et al, , 2008W. Maenhaut et al, , 2011Mkoma et al, 2009aMkoma et al, , 2009bMkoma et al, , 2009cMorera-Gómez et al, 2018;Nyanganyura et al, 2007;Pérez et al, 2008;J. P. Putaud et al, 2010Rodríguez et al, 2015Rodríguez et al, , 2011Salma et al, 1997;Smichowski et al, 2004;Swap et al, 2002;Vanderzalm et al, 2003;Van Dingenen et al, 2004;Virkkula et al, 1999;Xiao et al, 2014).…”

Section: Analysis Of Atmospheric Observationsmentioning

confidence: 99%

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Anthropogenic Perturbations to the Atmospheric Molybdenum Cycle

Wong

Rathod

Marino

et al. 2021

Global Biogeochemical Cycles

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Molybdenum (Mo) is a key cofactor in enzymes used for nitrogen (N) fixation and nitrate reduction, and the low availability of Mo can constrain N inputs, affecting ecosystem productivity. Natural atmospheric Mo aerosolization and deposition from sources such as desert dust, sea‐salt spray, and volcanoes can affect ecosystem function across long timescales, but anthropogenic activities such as combustion, motor vehicles, and agricultural dust have accelerated the natural Mo cycle. Here we combined a synthesis of global atmospheric concentration observations and modeling to identify and estimate anthropogenic sources of atmospheric Mo. To project the impact of atmospheric Mo on terrestrial ecosystems, we synthesized soil Mo data and estimated the global distribution of soil Mo using two approaches to calculate turnover times. We estimated global emissions of atmospheric Mo in aerosols (<10 μm in diameter) to be 23 Gg Mo yr−1, with 40%–75% from anthropogenic sources. We approximated that for the top meter of soil, Mo turnover times range between 1,000 and 1,000,000 years. In some industrialized regions, anthropogenic inputs have enhanced Mo deposition 100‐fold, lowering the soil Mo turnover time considerably. Our synthesis of global observational data, modeling, and a mass balance comparison with riverine Mo exports suggest that anthropogenic activity has greatly accelerated the Mo cycle, with potential to influence N‐limited ecosystems.

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Section: Resultsmentioning

confidence: 99%

Section: Analysis Of Atmospheric Observationsmentioning

confidence: 99%

Anthropogenic Perturbations to the Atmospheric Molybdenum Cycle

Wong

Rathod

Marino

et al. 2021

Global Biogeochemical Cycles

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“…Factor 2: The second factor contributed 16.28% of the total PM 2.5, and mostly originated from natural sources, such as the lifting of dust or mechanical abrasion processes, which was identified by high concentrations of Al, Fe, Si and Ti, indicating the leading contribution of dust [71]. Si and Ti are the key tracers of soil dust caused by winds.…”

Section: Oc and Ec Levelsmentioning

confidence: 99%

Mass Concentration, Chemical Composition, and Source Characteristics of PM2.5 in a Plateau Slope City in Southwest China

et al. 2021

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In order to investigate the seasonal variations in the chemical characteristics of PM2.5 at the plateau slope of a mountain city in southwest China, 178 PM2.5 filters (89 quartz and 89 Teflon samples for PM2.5) were collected to sample the urban air of Wenshan in spring and autumn 2016 at three sites. The mass concentrations, water-soluble inorganic ions, organic and inorganic carbon concentrations, and inorganic elements constituting PM2.5 were determined, principal component analysis was used to identify potential sources of PM2.5, and the backward trajectory model was used to calculate the contribution of the long-distance transmission of air particles to the Wenshan area. The average concentration of PM2.5 in spring and autumn was 44.85 ± 10.99 μg/m3. Secondary inorganic aerosols contributed 21.82% and 16.50% of the total PM2.5 in spring and autumn, respectively. The daily mean value of OC/EC indicated that the measured SOC content was generated by the photochemical processes active during the sampling days. However, elements from anthropogenic sources (Ti, Si, Ca, Fe, Al, K, Mg, Na, Sb, Zn, P, Pb, Mn, As and Cu) accounted for 99.38% and 99.24% of the total inorganic elements in spring and autumn, respectively. Finally, source apportionment showed that SIA, dust, industry, biomass burning, motor vehicle emissions and copper smelting emissions constituted the major components in Wenshan. This study is the first to investigate the chemical characterizations and sources of PM2.5 in Wenshan, and it provides effective support for local governments formulating air pollution control policies.

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“…Increased atmospheric flux of both macronutrients (e.g. nitrogen, phosphorus) and trace metals was reported at the beginning of the V. rugosum bloom (July 2015) in the coastal area of Cienfuegos Bay (Morera-Gómez et al, 2018, 2019, which might have also contributed to this bloom development and persistence via nutrient enrichment (Walsh and Steidinger, 2001). Increasing ocean temperature and nutrient input due to global climate change and pollution may thus lead V. rugosum blooms to become more frequent and to expand their distribution towards subtropical J o u r n a l P r e -p r o o f and temperate zones, as indicated for other HAB-forming species (Anderson et al, 2014;Heisler et al, 2008;Wells et al, 2015).…”

Section: Journal Pre-proofmentioning

confidence: 99%