Air pollution management pdf




















Behaviour of CO concentrations relevant year , number, can lead to perform the elaboration phase using filtered around rush hours 9,00 a. This restriction can wake difficult individuating peculiar dynamic of pollution phenomena To characterize the CO behaviour relevant to a whole like daily and seasonal recurrences , distorting the obtained year, the trend of daily average and maximums values have results.

Therefore, reconstruction techniques, based on both been analysed. By using these techniques, it numerous measurement elaborations performed on data sets, is possible to work with a continuous and valid set of data, we have individuated a mathematic model, based on a with the further aim of reducing the measurement suitable polynomial interpolation, able to describe the uncertainty []. By Taranto, during year , are here presented. The greatest recalculating the interpolation polynomial obtained using attention is devoted to the substances playing the leading the so reduced data set, and by comparing the results carried role in the road traffic pollution.

As example, Fig. So we started to analyse the data about the CO concentration measurements. As example, analysing the annual with complete data set trend of hourly concentrations of CO, allows us information 1. Behaviour of fitting polynomial curves representing the daily average CO concentrations relevant year , calculated corresponding to summer days, when it is normally by considering the complete set of data continuous line and possible to observe a reduction in road traffic.

In this case, the standard deviations of m and q are concentrations, a similar analysis has been carried out. To supply a fist validation of obtained results, we have where x i and yi represent the i-th value of CO and benzene carried out an annual reconstruction of daily average interpolation curves, respectively, x and y are the average concentrations of benzene, starting from CO values and values of CO and benzene interpolation curves, respectively, coefficients of the achieved linear regression straight line.

The following expression indicates the carried out relation between CO and benzene. Having determined the relationship between interpolation curves of two pollutants and having verified 4. Once more, the measurements of air pollutants have been analysed and reconstruction curve is inside in uncertainty band previous elaborated.

Particular attention has been turned on behaviour calculated as shown in Fig 4. Some mathematic models has been developed reconstruction, possible correlations with other substances to characterize the trend of quantities analysed and to have been investigated.

In this context a order vector estimate the reliability of implemented method. Jacob, J. Munger, D. Empath Up! No problem. Chhaya Rekhate. Shere Khan. Sravanthi Jithendra. Naseem Ahmed. Anusree N Prakasan. Shweta Revankar. Arun Kumar. Show More. Views Total views. Actions Shares. No notes for slide. Air pollution and its management 1. Natural sources I. Atmospheric Reactions In the atmosphere, different types of chemical reactions are always going on.

In the lower atmosphere the gases and vapours are always converted into solids and liquids by condensation or oxidation. In the upper atmosphere, the photochemical reations are going on by the absorption of ultra-violet solar radiations. This gas is very dangerous to human health. Below are a few ideas that you can take to help clean our air.

This conserves energy and reduces production emissions. If the test shows elevated levels of radon, the problem can be fixed cost effectively.

If you or your visitors must smoke, then smoke outside. They are environmentally friendly products. Save gasoline and reduce air pollution.

A control strategy related to air quality is a set of specific techniques and measures identified and implemented to achieve reductions in air pollution to attain an air quality standard or goal. Pollution prevention approaches to reduce, eliminate, or prevent pollution at its source, should be considered.

Examples are to use less toxic raw materials or fuels, use a less-polluting industrial process, and to improve the efficiency of the process. The Clean Air Technology Center serves as a resource on air pollution prevention and control technologies, including their use, effectiveness and cost. Examples are mechanical collectors, wet scrubbers, fabric filters baghouses , electrostatic precipitators, combustion systems thermal oxidizers , condensers, absorbers, adsorbers, and biological degradation.

Controlling emissions related to transportation can include emission controls on vehicles as well as use of cleaner fuels. Economic incentives , such as emissions trading, banking, and emissions caps can be used.

These strategies may be combined with the "command-and-control" type regulations which have traditionally been used by air pollution control agencies. Air pollution does not recognize geographic boundaries. Some pollutants can travel great distances affecting air quality and public health locally, regionally, nationally, and even internationally in areas that are downwind.

For this reason, control strategies to improve air quality in local areas need to include control measures that are mandated and implemented on a state, region-wide or national basis.



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