Nowadays the modelling of systems in high resolution
is being used for air quality and other forecasting applications,
where a spatial area is related with different interrelated
variables that could be displayed on a map. This area is usually
represented by global domains (hundred to thousand of square
km); when smaller regions need to be represented, a high
resolution modelling system can be used, these systems goes
from one square km to dozen of square km, health is one of these
issues where this kind of resolution can be used. In Europe, Asia,
North America, South America and other countries, health
problems related with the air pollution and climate change is a
concern for individuals and world organizations like the WHO;
today studies show the relation between morbidity and mortality
rates, air pollution and effects on human health; these
modelling systems in high resolution help us to simulate
scenarios and propose solutions to this problematic. So the
objective of this work is to evaluate the system performance
WRF – CMAQ and CALIOPE on high resolution (4 km x 4 km)
to determine air pollutant impacts of PM10, PM2.5, Ozone, NO2
and SO2 on population, using BenMAP for assess impact on
health. The methodology suggested is the time series analysis of
two years of hospital admissions, morbidity and mortality rates
and the air quality forecasting of the cities selected, previously
modelled in WRF, CMAQ and CALIOPE; after that, the
Response Functions (DRF/ERF) to determine the impacts on
health and the BenMAP software will be used. It is expecting
find the scenarios that could decrease the mortality and
morbidity rates in diseases like lung cancer, chronic respiratory
obstructive disease, asthma, and the acute respiratory diseases
in adults and children under ten years old
