In the recent studies, the health implications of ultra fine
particle emissions from vehicles have been investigated in a number
of international studies. The adverse health effects are not only
dependent on total particulate mass but also on other attributes
including size, number and surface area of the particles and also
their constituents like SOF, IOF, PAH, benzene, 1-3 butadiene,
etc., which are mainly responsible for higher mortality rate due to
their carcinogenicity and mutagenecity. These ultra fine particles
cause more adverse effects than larger particles. With this need
UNECE GRPE had launched a particulate measurement program (PMP) to
formulate the regulation to control both particulate mass and
number of ultra fine particles. These new regulations are
applicable to the diesel and gasoline direct injection passenger
cars and heavy-duty engines of Euro-V/VI technology. However, at
present the other vehicle categories like 2, 3 wheelers and
alternate fuels are not being covered. Limited experiments have
been carried out on the various categories of 2-wheeler gasoline
vehicles for PM₂.₅, particle number and its other metrices
including their chemical speciation. This paper presents the work
carried out on the nano particle measurement with the test setup
complying with GRPE-PMP requirements. This paper focuses
specifically on in-use 2-wheeler motorcycle category. The test
matrix formulated include 10 motorcycles of 3 different levels of
model years tested on 4 different levels of gasoline fuels viz.
BS-III, Euro-II,III & IV. This paper discusses the findings of
analysis of Particulate matter PM₁₀ and PM₂.₅ measured on the
Indian driving cycle for motorcycles, and particle number measured
by using Condensation Particle Counter (CPC) and Volatile Particle
Remover (VPR). The other metrices of nano particles measured by
Engine Exhaust Particle Sizer (EEPS) are size, surface and volume.
Further chemical analysis of PM₂.₅ is carried out to measure
various non-regulatory pollutants like soluble organic fraction
(SOF), Inorganic fraction (IOF), Poly-aromatic hydrocarbons (PAH),
Aldehydes & Ketones, 1-3 butadiene and benzene. Experimental
data analyzed by using statistical techniques like ANOVA, box plot
and regression analysis reveal that PM₁₀ and PM₂.₅ are highly
correlated with 99% coefficient of determination. In 2-wheeler
motorcycle sector PM₂.₅ is significant over models and model
years.