QUICK FACTS
- Needed to measure and analyze climatic and meteorological data daily to forecast the quantities and dispersion abilities of air pollutants
- Uses the IMSL Numerical Libraries to create air pollution mathematical models
- Researchers simulate atmospheric dispersion and predict ground-level concentrations
- Forecasts allow policy makers to make decisions at power plants and other large polluters based on weather conditions
THE PROBLEM
Last winter, Milan Major Paolo Pillitteri announced a one-day ban
on all private cars and trucks in an attempt to relieve a five-day
air inversion. Cold, windless weather conditions combined with a
month of almost constant fog had trapped sulfur and nitrogen dioxides
at ground level in the city, Italy's industrial and financial center.
"The air pollution was at a dangerous
level, and though the automobile ban didn't have a great effect
on the pollution, it was successful in making people aware of the
problem," said Dr. Giuseppe Brusasca, research scientist at
ENEL, the Italian Electricity Board.
Regularly, environmental researchers at
ENEL's Thermal and Nuclear Research Center (CRTN) in Milan send
weather information to the Italian Electricity Board. Using the
IMSL® Numerical Libraries from Visual Numerics to create mathematical
models, the research group measures and analyzes various climatic
and meteorological data daily to forecast the quantities and dispersion
abilities of pollutants in the air.
The electricity board can then determine
what action to take. For example, if the air is very still and an
inversion is forecast, the board could opt to shut off the low chimneys
at the power plant and use only the tall stacks to vent smoke. If
cold weather is forecast, the electricity board knows that demands
for energy will be greater and can act accordingly.
Scientists at the Thermal and Nuclear Research
Center take two approaches to the forecast. One group studies the
dispersion qualities of pollutants. The other analyzes the impact
of weather conditions on the demand for electricity.
THE SOLUTION
Seventy
percent of Italy's energy is produced at fossil-fuel power plants.
Burning coal and oil emit noxious fumes including sulfur and nitrogen
oxides and aerosol. The ground concentration of these pollutants
has to be controlled around the power plants. The emissions are
a major environmental concern, and Dr. Brusasca's group is involved
in research that will minimize ground-level pollution.
Dr. Brusasca turned to the IMSL Numerical Libraries subroutines
for air pollution modeling that simulates atmospheric dispersion
and predicts ground-level concentrations. "The knowledge of
the dynamic and thermodynamic fields affecting the planetary boundary
layer is one of the most important aspects in studies of environmental
problems and atmospheric pollution over urban and industrial areas,"
Dr. Brusasca said. "Ten years ago," said Dr. Brusasca,
"I was developing numerical code for simulating the atmospheric
circulation of local flow and needed to integrate a system of differential
equations. That was the first time that I used the IMSL subroutines."
Using special functions of the IMSL Numerical Libraries, Dr. Brusasca's
group simulates an analytical solution Dr. Brusasca's group has
developed an advanced particle model that simulates turbulent diffusion
phenomena in the atmosphere by means of a Lagrangian particle semirandom
motion.
By using suitable Monte Carlo numerical techniques, particles released
by a source are scattered in the computing domain, simulating transport,
diffusion, chemical reaction and ground-deposition mechanisms. "The
random number generator routines are the core of this model, and
the IMSL Libraries are very fast and very accurate," said Dr.
Brusasca. "We've had good results comparing simulations with
real systems, enabling us to use the model in real time. The digital
system receives and codes data from measurement instruments such
as Doppler Sonar, acoustic antennae that produce a vertical profile
of the air temperature. Then particle models are created using the
remote sensor data and IMSL's Monte Carlo simulation subroutines."
Because the energy utility is particularly vulnerable to meteorological
conditions, the electricity board requires accurate weather reports
to prepare for unusual demands on resources or a possible lack of
resources. For example, 15 percent of ENEL's energy is produced
by hydraulic power stations, making timely precipitation forecasts
a necessity for predicting load demands.
Another group at the CRTN prepares weather charts with data received
every day from the European Center for Medium-range Weather Forecasts
(ECMWF) at Reading, England. The meteorological group began receiving
data fields from ECMWF in 1980 for statistical processing. Using
the IMSL Libraries for the statistical processing of four levels
of atmosphere, humidity, temperature, wind and precipitation, the
group forecasts weather conditions for the electricity board.
In September 1989, the CRTN began a cooperative project with the
University of Bologna and the Regional Meteorological Service of
Emilia-Romagna (Italy) to run a three-dimensional model focusing
on limited-area scale features. Dr. Roberto Buizza, research scientist,
said, "The aim is to have more knowledge of the meteorological
fields, such as surface temperature, wind field and precipitation,
with a higher resolution than the statistics given by the European
Center."
Dr. Brusasca added, "We are starting a similar project in
collaboration with EFT (Electricité de France) using another
three-dimensional model to simulate mesoscale atmospheric pollutant
diffusion. Both models need mathematical routines, and we'll use
the IMSL Libraries."
RETURN
ON INVESTMENT
In April and May 1986, the research group did a study on the Chernobyl
accident, forecasting the medium- and long-range transport of radiation,
to predict when the fallout would reach Italy. Using a system that
had already been established to calculate the long-range trajectories
of acid deposition, they analyzed the meteorological factors that
characterized the transport and dispersion of the radionuclides
over northern Italy from the Chernobyl nuclear power station.
Dr. Buizza explained, "The aim of our
study was to test some computation procedures and specific meteorological
analyses for a comprehensive study of long-range pollution transport
problems. By reconstructing the particle trajectories of the radioactive
Chernobyl plume, we determined the most probable starting and arrival
dates of the plume and the level over the source. Analysis of the
meteorological configuration up- and downwind of the Alps permitted
us to explain the temporal displacement between different kinds
of measured fallout."
CRTN's research group has worked on projects
that measure visibility, solar radiation and acid rain. The acid
rain project, detecting acidity of rain and its effect on lakes,
forests and monuments, analyzed composition of chemicals in the
rain.
Future projects for Dr. Brusasca include
studies on the greenhouse effect. "There is increasing attention
being paid to this phenomenon," said Dr. Brusasca. "We
are developing a station in the Alps to measure carbon dioxide and
other chemicals in the air, and we may attempt a modeling of the
greenhouse effect."
Research at ENEL is often a cooperative
project with other countries, universities and industries, committed
to finding alternative, renewable energy, conserving valuable resources
and protecting the environment.