Real Time Air Quality Forecasting Systems For
Industrial Plants And Urban Areas By Using The
MM5-CMAQ-EMIMO
Author(s)
R. San José, J. L. Pérez, J. L. Morant & R. M. González
Abstract
During the last five years, we have been working intensively with the new
generation of air quality modeling systems such as MM5-CMAQ
(PSU/NCAR/EPA, US) and using our own emission model, EMIMO (UPM,
2006), the first version of which was developed several years ago and is in the
process of continuous adaptation. Recently we have incorporated an adapted
version of the CFD model MIMO (University of Karlsruhe, 2000) which
includes a sophisticated cellular traffic model, CAMO (UPM, 2006), to model
street level pollution with the numerical Eulerian models approach with a few
meters of spatial resolution. The integrated system formed by an adapted version
of MIMO and CAMO is called MICROSYS. The mesoscale air quality model
MM5-CMAQ-EMIMO produces air concentrations in real-time and forecasting
mode for urban and regional areas with 1 km spatial resolution. The MICROSYS
model is implemented to simulate the air concentrations in one 1 km grid cell
with 5–10 m spatial resolution and up to 200–300 m in height (over the
maximum building heights in the 1 km grid cell). The MICROSYS model is run
in diagnostic mode and uses the boundary and initial conditions from
MM5-CMAQ-EMIMO. The system MM5-CMAQ-EMIMO-MICROSYS
produces reliable air quality forecasts for urban areas with street level detail over
the Internet. In this contribution we will show the special example applied to Las
Palmas (Canary Islands, Spain). Additionally, the MM5-CMAQ-EMIMO has
been used to find the air quality impact of several industrial plants such as
combined cycle power and cement plants. The system uses sophisticated cluster
technology to take advantage of distributed and shared memory machines in
order to perform the parallel runs in an efficient and optimal way since the
process should operate on a daily basis. We will also show the methodology and
results of these applications in two industrial complexes in the surrounding area
of Madrid City.
Keywords
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