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Rufus “Ty” White

PhD Candidate

Howard University

&

NOAA Student fellow

NOAA Center for Atmospheric

Science

 Interest

1. Instrumentation, Measurements, and

Data Analysis

2. Investigations of the cycles of chemical

elements such as carbon, oxygen,

nitrogen, and sulfur,as well as their stable

ions and isotopes in the atmosphere.

 Research Experience

– University of Guam, Marine Laboratory.

 This research investigated environmental

pollutions, and flux of nutrients, energy,

and microorganisms among fresh, brackish

and marine waters.

 We measured the pollution by recording

and observing phosphate, silicate, and

nitrate levels.

 Also measured bacterial organism growth.

 Research Experience

– EPA CASNET Site

 Energy Research Center of the Netherlands (ECN)

developed the MARGA, instrument for Measuring

AeRosol and GAses, for the determination of the

following air-polluting species.

 Ammonia, nitric acid nitrous acid, sulphur dioxide,

hydrochloric acid in the gas phase and ammonium,

nitrate, sulphate, chloride, sodium, potassium,

magnesium and calcium in aerosols.

– MARGA

– MARGA measures the hourly averaged

concentrations of these compounds. MARGA is

an extension of the SJAC (Steam Jet Aerosol

Collector) for on-line collection and analysis of

aerosol components with IC.

 MARGA

 The novelty of MARGA that it contains a wet-

denuder. Compared with the classical denuder

filter pack method, this instrument offers high

time resolution, no contamination by off-line

handling and no artifacts introduced by semi-

volatile ammonium salts. New is also the

capability of long-term stand-alone

measurements (over a week). Gas

denuder









Steam Jet Aerosol Collector

Current Research Topic



MARGA and the factors that limit the formation of Fine

Secondary Inorganic Aerosols at an agricultural site in

Beltsville, MD.

• (MARGA 1 &2 intra-comparison) Principle component

factor analysis (PCA), These factors are used to explain

the pattern of relationships among the data points. Close

factor variability percentage equated to a common source.

(refer to next slide)

• These factors also were used to illuminate major

processes that contribute to the production of particles in

this environment.

• NOAA’s Hysplit Back Trajectory. Back trajectories were

produced to determine the direction the polluted air mass

was traveling and the source region. (see poster)

Component



1 2 3 4 5 6 7



M2 SO4 0.519 0.674



M1 SO4 0.513 0.679



M2 NO3 0.508



M1 NO3 0.708



M2 HNO3 0.777



M1 HNO3 0.804



M2 NH3 0.799



M1 NH3 0.741



M2 NH4 0.732



M1 NH4 0.748



M1 HNO2 0.606



M2 HNO2 0.670



M2 SO2 0.824



M1 SO2 0.819



TE SO2 0.829



TE NO 0.890



TE NOY -0.574 0.600



TE CO 0.713



RH 0.581



TE ozone 0.875



WD

temp 0.830



radiation 0.505



MDE Nox -0.775



MDE NO -0.655



MDE NO2 -0.718

Extraction Method: Principal Component Analysis.

left to do:

 Once the correlation between the ratios

and local versus long-range emissions is

determined the data will be summarized,

the temp/RH and diurnal variability

investigated

 Pollution events, local versus long-range

pollution sources will be quantified, local

variability assessed and cause of local

particle formation will be determined.

Professional and Academic Goals





•Complete PhD program

•Work for an environmental think-tank

•Start a consultant firm

THANK YOU





ANY QUESTIONS



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