APPLICATION OF A CHEMICAL MASS-BALANCE RECEPTOR MODEL TO RESPIRABLE PARTICULATE MATTER IN MEXICO-CITY

Citation
E. Vega et al., APPLICATION OF A CHEMICAL MASS-BALANCE RECEPTOR MODEL TO RESPIRABLE PARTICULATE MATTER IN MEXICO-CITY, Journal of the Air & Waste Management Association [1995], 47(4), 1997, pp. 524-529
Citations number
6
Categorie Soggetti
Environmental Sciences","Metereology & Atmospheric Sciences","Engineering, Environmental
Volume
47
Issue
4
Year of publication
1997
Pages
524 - 529
Database
ISI
SICI code
Abstract
Mexico City frequently experiences high levels of air pollution. This is due mainly to its topography and meteorology that suppress pollutan t diffusion and dispersion. The atmospheric mixing is extremely poor, especially during the dry winter months. The levels of certain polluta nts, such as particulate matter, are of concern since they have severe effects on public health. Visibility deterioration is one of the most noticeable effects in large cities. Biological effects of particulate matter on man and animals, ranging from mild eye irritation to death, have been reported. The effects depend on the size of the particles, their solubility, and toxicity. The main objective of this paper is to present the results of a chemical mass balance receptor model applied to a well-characterized data set of particulate matter collected in t he Mexico City Metropolitan Area (MCMA). Samples of particulate matter were collected using a denuder and a Hi-Vol system for the respirable fraction and total suspended particles, respectively. In this paper t he analysis of a database consisting of the chemical composition of 33 samples of respirable particulate matter (aerosols with diameter less than 2.5 mu m) is presented. The 12-hour samples were acquired during day and night periods in a typical medium-income neighborhood from De cember 19, 1989 through February 5, 1990. The results show that the ma in contributors to suspended particles are vehicles without catalytic converters and heavy-duty diesel vehicles. The contribution of refiner ies, smelters, cement plants, resuspended dust, natural sources, and s econdary aerosols were taken into account. In particular, the vehicles without catalytic converters represent the major contribution to PM25 . They contribute with 50% during the day and 38% at night. Most of th e source profiles were taken from the model library SPECIATE EPA. Howe ver, native profiles for soil, vehicles, and refinery were designed.