Oscar Peralta

Dr. Oscar Peralta

orcid

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

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

Representative Publications

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17 September 2002 in Journal of Geophysical Research: Atmospheres
Verified
Journal Article
Open access
PDF file
DBDarrel Baumgardner
Darrel Baumgardner
GRGraciela Raga
Graciela Raga
OPOscar Peralta
Oscar Peralta
IRI. Rosas
I. Rosas
TCT. Castro
T. Castro
APA. Petzold
A. Petzold
The relationship between black carbon (BC) and carbon monoxide (CO) has been analyzed using measurements from two sites in Mexico City and five urban areas in Germany. The correlation coefficient between BC and CO is greater than 0.90 for all sites. The average slope of the linear regression line for BC versus CO is 2.2 μg mg−1 for German sites and 1.1 μg mg−1 in Mexico City. The most important factors that affect the BC to CO relationship appear to be the ratio of diesel to gasoline usage and the combustion efficiency of vehicles in a particular area. The results of this analysis suggest that CO measurements in urban areas can be used to estimate BC mass when direct measurements are not available.

1 March 2021 in Science of The Total Environment
Verified
Journal Article
Closed access
OPOscar Peralta
Oscar Peralta
AOAbraham Ortínez-Alvarez
Abraham Ortínez-Alvarez
RTRicardo Torres-Jardón
Ricardo Torres-Jardón
MSManuel Suárez-Lastra
Manuel Suárez-Lastra
TCTelma Castro
Telma Castro
LRLuis Gerardo Ruíz-Suárez
Luis Gerardo Ruíz-Suárez

1 April 2013 in Geothermics
Verified
Journal Article
Closed access
OPOscar Peralta
Oscar Peralta
TCTelma Castro
Telma Castro
MDMatilde Durón
Matilde Durón
ASAlejandro Salcido
Alejandro Salcido
ACAna-Teresa Celada-Murillo
Ana-Teresa Celada-Murillo
ATAlejandro Torres-Jaramillo
Alejandro Torres-Jaramillo

21 December 2017 in Air Quality, Atmosphere & Health
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Journal Article
Closed access
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AOAbraham Ortínez-Alvarez
Abraham Ortínez-Alvarez
OPOscar Peralta
Oscar Peralta
HAHarry Alvarez
Harry Alvarez
AMAmparo Martínez-Arroyo
Amparo Martínez-Arroyo
TCTelma Castro
Telma Castro
JMJosé Luis Munguía-Guillén
José Luis Munguía-Guillén

1 May 2016 in Journal of Aerosol Science
Verified
Journal Article
Closed access
GCG. Carabali
G. Carabali
TCT. Castro
T. Castro
WCW. De La Cruz
W. De La Cruz
OPOscar Peralta
Oscar Peralta
AVA. Varela
A. Varela
LML. Molina
L. Molina

14 March 2012 in Atmospheric Chemistry and Physics
Verified
Journal Article
Open access
PDF file
GCG. Carabali
G. Carabali
RMR. Mamani-Paco
R. Mamani-Paco
TCTelma Castro
Telma Castro
OPOscar Peralta
Oscar Peralta
EHE. Herrera
E. Herrera
Balter Trujillo-NavarreteBalter Trujillo-Navarrete
Balter Trujillo-Navarrete
Atmospheric particles were sampled at T1 supersite during MILAGRO campaign, in March 2006. T1 was located at the north of Mexico City (MC). Aerosol sampling was done by placing copper grids for Transmission Electron Microscope (TEM) on the last five of an 8-stage MOUDI cascade impactor. Samples were obtained at different periods to observe possible variations on morphology. Absorption and scattering coefficients, as well as particle concentrations (0.01–3 μm aerodynamic diameter) were measured simultaneously using a PSAP absorption photometer, a portable integrating nephelometer, and a CPC particle counter. Particle images were acquired at different magnifications using a CM 200 Phillips TEM-EDAX system, and then calculated the border-based fractal dimension. Also, Energy Dispersive X-Ray Spectroscopy (EDS) was used to determine the elemental composition of particles. The morphology of atmospheric particles for two aerodynamic diameters (0.18 and 1.8 μm) was compared using border-based fractal dimension to relate it to the other particle properties, because T1-generated particles have optical, morphological and chemical properties different from those transported by the MC plume. Particles sampled under MC pollution influence showed not much variability, suggesting that more spherical particles (border-based fractal dimension close to 1.0) are more common in larger sizes (d50 = 1.8 μm), which may be attributed to aerosol aging and secondary aerosol formation. Between 06:00 and 09:00 a.m., smaller particles (d50 = 0.18 μm) had more irregular shapes resulting in higher border-based fractal dimensions (1.2–1.3) for samples with more local influence. EDS analysis in d50 = 0.18 μm particles showed high contents of carbonaceous material, Si, Fe, K, and Co. Perhaps, this indicates an impact from industrial and vehicle emissions on atmospheric particles at T1.