@article{oai:ous.repo.nii.ac.jp:00000704,
 author = {成久, 洋之 and Narihisa, Hiroyuki},
 journal = {岡山理科大学紀要. A, 自然科学, The Bulletin of the Okayama University of Science, A, Natural  Science},
 month = {Mar},
 note = {P(論文), Generally, there are two types air pollution diffusion estimation. The one is Gaussian distribution model and the other is a simulation model. Gaussian distribution model is considered that the pollutant density disperse following Gaussian distribution as a function of the distance from the pollutant source. On the other hand, a simulation model represents the air pollution diffusion phenomena as the differential equations with some boundary conditions. Practical point of vieu, we usually approximate differential eqations by difference equations for the sake of easy computation. Concerning these models, there have been proposed a lot of calulating methods. Consequently, we must select an appropriate computation model which is due match to our purpose. As you can easily imagine, it is very ease to calculate the pollutant density by using Gaussian model because the distribution function is already given. However, the fitness of its distribution is not so good. In this paper, we present Gaussian plume model of atmospheric diffusion dispersion for estimation of pollutant density around traffic road. As far as concern to the automobil emission gases diffusion density around the traffic road, the different approximate model is used hitherto because of its preciseness.},
 pages = {181--213},
 title = {大気汚染モデルについての考察},
 volume = {20},
 year = {1985},
 yomi = {ナリヒサ, ヒロユキ}
}