@article{oai:az.repo.nii.ac.jp:00004364,
 author = {桐生, 崇 and 畠山, 豪 and 光崎, 龍子 and KIRYU, Takashi and HATAKEYAMA, Go and KOHZAKI, Ryuko},
 journal = {麻布大学雑誌, Journal of Azabu University},
 month = {Mar},
 note = {It is the trend of each municipality to store air pollutant measurements in the database, but adequate collaboration between other databases and systems has not been done.
 Sagamihara City achieved remarkable development under an urban planning project. However, the abovementioned information about the environment is merely stored in the database due to the large amount of data. We conducted an examination on the purpose of creating a prediction model that can be utilized for antipollution actions. In the examination, meteorological factors such as wind direction, velocity and temperature were used as the factors contributing to the diffusion of the nitrogen dioxide that was emitted into the air. Among all the substances observed and measured at continuous observation stations for environmental pollution throughout Sagamihara City, the data on the nitrogen dioxide that is supposedly emitted from stationary and mobile sources is used for the examination, leading the following conclusions:
 1. The nitrogen dioxide density level was high when the wind direction was northwest, north-northwest and east at the city hall, and northwest, west-northwest and south-southeast at Hashimoto. The nitrogen density was high from October to March on a monthly basis and from 19:00 to 24:00 on an hourly basis. 
2. In terms of the relationship between the wind velocity and the nitrogen dioxide density, when the wind velocity was high, the nitrogen dioxide density was low, and when the wind velocity was low, the nitrogen dioxide level was high both at the city hall and Hashimoto. 
3. In the multiple regression analysis in which the nitrogen dioxide was chosen as a criterion variable and the wind direction, velocity and temperature as explanatory variables, statistical significance was found at the level of 1% for wind velocity, temperature and wind direction at the city hall, and 1% for wind velocity and temperature at Hashimoto. The regression coefficient obtained is necessary for the prediction of nitrogen dioxide density that is a criterion variable.
 4. As a result, the following two prediction models for the nitrogen dioxide density were created: The prediction model for the nitrogen dioxide density at the city hall The prediction model for the nitrogen dioxide density at Hashimoto, P(論文), 原著論文, application/pdf, ORIGINAL ARTICLE},
 pages = {21--32},
 title = {二酸化窒素の地域的予測式モデルの検討},
 volume = {1/2},
 year = {2001},
 yomi = {キリュウ, タカシ and ハタヤマ, ゴウ and コウザキ, リュウコ}
}