Perola Castro Vasconcellos

Dr. Perola Castro Vasconcellos


Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 January 2000 in Atmospheric Environment
Verified
Journal Article
Open access
JKJ Kesselmeier
J Kesselmeier
UKU Kuhn
U Kuhn
AWA Wolf
A Wolf
MAM.O Andreae
M.O Andreae
PCP Ciccioli
P Ciccioli
Paulo ArtaxoPaulo Artaxo
Paulo Artaxo

20 October 1998 in Journal of Geophysical Research: Atmospheres
Verified
Journal Article
Open access
PDF file
PHPeter Harley
Peter Harley
VFVerity Fridd‐Stroud
Verity Fridd‐Stroud
JGJames Greenberg
James Greenberg
AGAlex Guenther
Alex Guenther
PVPerola Castro Vasconcellos
Perola Castro Vasconcellos
High rates of emission of 2‐methyl‐3‐buten‐2‐ol (MBO) were measured from needles of several pine species. Emissions of MBO in the light were 1 to 2 orders of magnitude higher than emissions of monoterpenes and, in contrast to monoterpene emissions from pines, were absent in the dark. MBO emissions were strongly dependent on incident light, behaving similarly to net photosynthesis. Emission rates of MBO increased exponentially with temperature up to approximately 35°C. Above approximately 42°C, emission rates declined rapidly. Emissions could be modeled using existing algorithms for isoprene emission. We propose that emissions of MBO from lodgepole and ponderosa pine are the primary source of high concentrations of this compound, averaging 1–3 ppbv, found in ambient air samples collected in Colorado at an isolated mountain site approximately 3050 m above sea level. Subsequent field studies in a ponderosa pine plantation in California confirmed high MBO emissions, which averaged 25 μg C g−1 h−1 for 1‐year‐old needles, corrected to 30°C and photon flux of 1000 μmol m−2 s−1. A total of 34 pine species growing at Eddy Arboretum in Placerville, California, were investigated, of which 11 exhibited high emissions of MBO (>5 μg C g−1 h−1), and 6 emitted small but detectable amounts. All the emitting species are of North American origin, and most are restricted to western North America. These results indicate that MBO emissions from pines may constitute a significant source of reactive carbon and a significant source of acetone, to the atmosphere, particularly in the western United States.

27 August 1996 in Journal of Geophysical Research: Atmospheres
Verified
Journal Article
Closed access
PDF file
PCPaolo Ciccioli
Paolo Ciccioli
ACAngelo Cecinato
Angelo Cecinato
EBEnzo Brancaleoni
Enzo Brancaleoni
MFMassimiliano Frattoni
Massimiliano Frattoni
PZPaolo Zacchei
Paolo Zacchei
PVPerola Castro Vasconcellos
Perola Castro Vasconcellos

1 November 2015 in Atmospheric Environment
Verified
Journal Article
Open access
NBNilmara Oliveira Alves Brito
Nilmara Oliveira Alves Brito
Joel Ferreira de BritoJoel Ferreira de Brito
Joel Ferreira de Brito
SCSofia Caumo
Sofia Caumo
AAAndrea Arana
Andrea Arana
SHSandra de Souza Hacon
Sandra de Souza Hacon
PVPerola Castro Vasconcellos
Perola Castro Vasconcellos
The Brazilian Amazon represents about 40% of the world's remaining tropical rainforest. However, human activities have become important drivers of disturbance in that region. The majority of forest fire hotspots in the Amazon arc due to deforestation are impacting the health of the local population of over 10 million inhabitants. In this study we characterize western Amazonia biomass burning emissions through the quantification of 14 Polycyclic Aromatic Hydrocarbons (PAHs), Organic Carbon, Elemental Carbon and unique tracers of biomass burning such as levoglucosan. From the PAHs dataset a toxic equivalence factor is calculated estimating the carcinogenic and mutagenic potential of biomass burning emissions during the studied period. Peak concentration of PM10 during the dry seasons was observed to reach 60 μg m−3 on the 24 h average. Conversely, PM10 was relatively constant throughout the wet season indicating an overall stable balance between aerosol sources and sinks within the filter sampling resolution. Similar behavior is identified for OC and EC components. Levoglucosan was found in significant concentrations (up to 4 μg m−3) during the dry season. Correspondingly, the estimated lung cancer risk calculated during the dry seasons largely exceeded the WHO health-based guideline. A source apportionment study was carried out through the use of Absolute Principal Factor Analysis (APFA), identifying a three-factor solution. The biomass burning factor is found to be the dominating aerosol source, having 75.4% of PM10 loading. The second factor depicts an important contribution of several PAHs without a single source class and therefore was considered as mixed sources factor, contributing to 6.3% of PM10. The third factor was mainly associated with fossil fuel combustion emissions, contributing to 18.4% of PM10. This work enhances the knowledge of aerosol sources and its impact on climate variability and local population, on a site representative of the deforestation which occupies a significant fraction of the Amazon basin

9 October 2017 in Atmospheric Chemistry and Physics
Verified
Journal Article
Open access
PDF file
GPGuilherme Martins Pereira
Guilherme Martins Pereira
KTKimmo Teinilä
Kimmo Teinilä
DCDanilo Custódio
Danilo Custódio
ASAldenor Gomes Santos
Aldenor Gomes Santos
HXHuang Xian
Huang Xian
PVPerola Castro Vasconcellos
Perola Castro Vasconcellos
São Paulo in Brazil has relatively relaxed regulations for ambient air pollution standards and often experiences high air pollution levels due to emissions of particulate pollutants from local sources and long-range transport of air masses impacted by biomass burning. In order to evaluate the sources of particulate air pollution and related health risks, a year-round sampling was done at the University of São Paulo campus (20 m a.g.l.), a green area near an important expressway. The sampling was performed for PM2. 5 ( ≤ 2. 5 µm) and PM10 ( ≤ 10 µm) in 2014 through intensive (everyday sampling in wintertime) and extensive campaigns (once a week for the whole year) with 24 h of sampling. This year was characterized by having lower average precipitation compared to meteorological data, and high-pollution episodes were observed all year round, with a significant increase in pollution level in the intensive campaign, which was performed during wintertime. Different chemical constituents, such as carbonaceous species, polycyclic aromatic hydrocarbons (PAHs) and derivatives, water-soluble ions, and biomass burning tracers were identified in order to evaluate health risks and to apportion sources. The species such as PAHs, inorganic and organic ions, and monosaccharides were determined using chromatographic techniques and carbonaceous species using thermal-optical analysis. Trace elements were determined using inductively coupled plasma mass spectrometry. The risks associated with particulate matter exposure based on PAH concentrations were also assessed, along with indexes such as the benzo[a]pyrene equivalent (BaPE) and lung cancer risk (LCR). High BaPE and LCR were observed in most of the samples, rising to critical values in the wintertime. Also, biomass burning tracers and PAHs were higher in this season, while secondarily formed ions presented low variation throughout the year. Meanwhile, vehicular tracer species were also higher in the intensive campaign, suggesting the influence of lower dispersion conditions in that period. Source apportionment was performed using positive matrix factorization (PMF), which indicated five different factors: road dust, industrial emissions, vehicular exhaust, biomass burning and secondary processes. The results highlighted the contribution of vehicular emissions and the significant input from biomass combustion in wintertime, suggesting that most of the particulate matter is due to local sources, in addition to the influence of pre-harvest sugarcane burning.

21 April 2004 in Global Change Biology
Verified
Journal Article
Open access
PDF file
PHPeter Harley
Peter Harley
PVPerola Castro Vasconcellos
Perola Castro Vasconcellos
LVLee Vierling
Lee Vierling
CPCarlos Cleomir de S. Pinheiro
Carlos Cleomir de S. Pinheiro
JGJames Greenberg
James Greenberg
YMYadvinder Malhi
Yadvinder Malhi
As part of the Large Scale Biosphere–Atmosphere Experiment in Amazônia (LBA), we have developed a bottom‐up approach for estimating canopy‐scale fluxes of isoprene. Estimating isoprene fluxes for a given forest ecosystem requires knowledge of foliar biomass, segregated by species, and the isoprene emission characteristics of the individual tree species comprising the forest. In this study, approximately 38% of 125 tree species examined at six sites in the Brazilian Amazon emitted isoprene. Given logistical difficulties and extremely high species diversity, it was possible to screen only a small percentage of tree species, and we propose a protocol for estimating the emission capacity of unmeasured taxa using a taxonomic approach, in which we assign to an unmeasured genus a value based on the percentage of genera within its plant family which have been shown to emit isoprene.Combining this information with data obtained from 14 tree censuses at four Neotropical forest sites, we have estimated the percentage of isoprene‐emitting biomass at each site. The relative contribution of each genus of tree is estimated as the basal area of all trees of that genus divided by the total basal area of the plot. Using this technique, the percentage of isoprene‐emitting biomass varied from 20% to 42% (mean=31%; SD=8%).Responses of isoprene emission to varying light and temperature, measured on a sun‐adapted leaf of mango (Mangifera indica L.), suggest that existing algorithms developed for temperate species are adequate for tropical species as well. Incorporating these algorithms, estimates of isoprene‐emitting biomass, isoprene emission capacity, and site foliar biomass into a canopy flux model, canopy‐scale fluxes of isoprene were predicted and compared with the above‐canopy fluxes measured at two sites. Our bottom‐up approach overestimates fluxes by about 50%, but variations in measured fluxes between the two sites are largely explained by observed variation in the amount of isoprene‐emitting biomass.