The measure air pollution over large European cities with lidar, mobile differential absorption lidar (DIAL). Regardless of the measures aiming to reduce the broadcasts of atmospheric pollutants, it appears indispensable all at once to improve information and to pursue the efforts of research. Systems have been developed to produce 2D and 3D maps of concentrations of nitrous oxide, nitrogen dioxide, sulfuric dioxide, and ozone. The city, concentration gradients are high and rapidly changing periods of active traffic flow (Figure 1). In absorption of light in the spectral lines of the specter often provides precious information on the properties physics of matter [1-3]. This is how the displacements of the lines (effect Doppler) inform on the speed of the movement directed of matter, and the width of the line, on the temperature and the density of this one. One uses the laser radiance extensively to determine the content of the atmosphere in different chemical bodies and sprays, and more especially to detect concentrations petty of the sparkling impurities distributed in the atmosphere. In this study, a three-dimensional simulation MATLAB program for multi-pollutants dispersion from an industrial stack has been presented.

The most efficient method is probably the one of the absorption compared, that implies the use of the laser radars (lidar). It consists has send in the atmosphere of the impulses lasers to two neighboring frequencies and, nearly confounds itself with the center of the line of absorption of the studied body, i.e. and the other is located out of this line. All processes of interaction of the radiance with matter for the neighboring frequencies and are appreciably equal [4-6]. Are indeed the contour of the line absorption, i.e. the spectral intensity of the laser impulse; the contour of the line of absorption of the studied body; the spectral coefficient of absorption for the other processes of interaction of the radiation with matter; The power of the laser radiation captured in the hypothesis of homogeneity of the atmosphere [7-9], will express itself then by:

where is the concentration (%) mass (of the component considered in the atmosphere; m: the absorbing matter mass crossed by the laser impulse m = LSρ₀, L: the distance the impulse between emitter and the receiving S: area of the surface of the receiving antenna and ρ₀ the density of the atmosphere (Figure 2)

we deal with a simplified model of a coupled transport and Bessel (Figures 3-5) equations.

We can interpret the function transmittance as a wave that has to fulfill the homogeneous wave equation.

When one suppose the following conditions

, ,

, and

One will be able to write the transmittance:

For the left boundaries we have do discretize the following equation:

Noticing that ρ < 1 and that for value fixed of z and one has,

The gotten formulas permit to calculate the function transmission T for values arbitrary of, , , , , , as well as to examine some cases different limits. Let’s suppose for example that, i.e. that the frequency of the signal confounds itself with the center of the absorption line [10-12]. One then:

If, or

One has then according to the Equation (10)

In particular, if, one has

The contribution [Piazzola & all] to coefficient K in inverse kilometers by aerosol particulates can written as

We calculate the atmospheric transmission using the expression

The relative variation of the atmospheric transmission is given by

Before you begin to format your paper, for the 3D dimensional diffusion equation we apply a second order finite difference scheme in space and a higher order discretization scheme in time. We deal with higher order time-discretization methods. Therefore [13-16] we

propose the Runge-Kutta as adapted time-discretization methods to reach higher order results. For the time-discretization we use the following higher order discretization methods (Figures 6-8).

We deal with the following semi-discretized partial differential equations; such equations are used in each iterative splitting step:

where ν is the operator that we implicit solve in the equation and is the explicit operator, with a previous solution, e.g. last iterative solution. One supposes that the total flux one generalizes the problem (11) under the form:  

one approached the calculation with the method of Galerkin non consolidated.

For flexible specification of these model properties, a great number of variables and functions are available. with = 10 m²/s, β = −0.3 m/s. In the simulations id given by Quartaroni & All [17,18], one took a concentration u0 of 1 particle by m³ a height of 10 km the number of global.

Peclet is therefore, with = 10 m²/s, β = −0.3 m/s. Several examples on the effects of meteorological parameters (i.e., wind velocity, ambient air temperature, atmospheric stability and surface roughness) on pollutant dispersion were illustrated using the program.

The aim of this paper was to assess the vertical variations in atmospheric transmission calculated from vertical aerosol concentration profiles recorded in stratospheric

area. The analysis of the data revealed a negative transmission gradient between 0.3 and 0.4 m height during winds of marine origin lower than 8 m/s, whereas a positive gradient occurs between 0.5 to 0.6 to 0.9 m height during high-wind-speed periods (> 8 m/s), these distribution particles gradients induce a relative difference in atmospheric transmission between the two sample heights, which is maximal in the 3 - 5 μm band for winds lower 8 m/s, compared to the 8 - 12 μm band.

However, comparisons with in situ data show the need for realistic source function and to model the specific situation of the geographical location. The present paper provides a simple approach to the complex problem of the aerosol dynamics during severally seasons. A realistic simulation would take into account a set of the aqueous or gaseous chemistry equations which we have ignored here. This tool is under development in our laboratory, and includes specialized modules: dust/radiation interaction, wet scavenging, an improved dust scheme, and a more detailed emission map for the carbonaceous particles. Finally, the pollutants, emitted once in the atmosphere, can be transported on long distances and to cause some damages in regions relatively faraway of the places of emission.