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http://hdl.handle.net/2074/191
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| Title: | Comparison of sigma schemes for estimation of air pollutant dispersion in low winds |
| Authors: | Maithili Sharan
Yadav, Anil Kumar
Singh, M P |
| Keywords: | Low wind speed
sigma schemes
diffusion parameters
dispersion modelling
mathematical model |
| Issue Date: | 1995 |
| Citation: | Atmospheric Environment, 29(16), 2051-2059 |
| Abstract: | The dispersion coefficients are key parameters in most of the air quality models and their use in
low wind speed conditions involves some degree of uncertainty. Various estimates of dispersion parameters are discussed for low wind conditions. Specifically, schemes viz., standard, sprit sigma, sprit sigma theta, segmented plume (I) and (II), short-term averaging and Umi, approach are studied through intercomparison. The concentration formula used in this intercomparison is obtained from the steady-state
advection--diffusion equation. The results show that with hourly data of wind velocity and standard deviation of horizontal wind direction (a0), split sigma and split sigma trbeta schemes perform much better than the traditional standard
method as they take into account the wind direction fluctuations for the horizontal dispersion. On the other hand, with high-frequency data of wind velocity and a0, schemes like segmented plume (I) and (II) and
short-term averaging simulate the obser... |
| URI: | http://eprint.iitd.ac.in/dspace/handle/2074/191 |
| Appears in Collections: | Atmospheric Sciences [CAS]
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