A study of atmospheric ammonia by means of modeling analysis in the Kanto region of Japan

Tatsuya Sakurai, Shin Ichi Fujita, Hiroshi Hayami, Noritaka Furuhashi

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

To evaluate the primary factor for the seasonal variation and the level of atmospheric ammonia concentration in the local scale, the emission, transport, and deposition of atmospheric ammonia were analyzed in the Kanto region of Japan, which has an area of about 40,000 km 2, by means of an atmospheric transport model. In the analysis of episodes of high concentration, the model reproduced an observed concentration of NH 3 and NH 4 + particles during a 5-day observation period in the summer of 2002. In the annual simulation, the calculated concentration showed reasonable agreement with the spatial distribution and seasonal variation of the annual observation in 2000. The NH 3 concentration strongly reflected the effect of local emission sources because of its short lifespan in the atmosphere. Moreover, it is found from the simulation results that atmospheric ammonia was transported over long distances when it existed as a particulate. The calculated deposition amount of NH 3 and NH 4 + particles was about the same as the emission amount of NH 3 throughout the year. Moreover, the model simulation showed that there was little contribution from sources outside the Kanto region. These findings suggest that the concentration and the deposition in the Kanto region mainly originated from the emission sources in itself.

Original languageEnglish
Pages (from-to)203-210
Number of pages8
JournalAtmospheric Environment
Volume39
Issue number2
DOIs
Publication statusPublished - 2005 Jan
Externally publishedYes

Keywords

  • Ammonia
  • Ammonium
  • Atmospheric transport modeling
  • Deposition
  • Emission

ASJC Scopus subject areas

  • Environmental Science(all)
  • Atmospheric Science

Fingerprint

Dive into the research topics of 'A study of atmospheric ammonia by means of modeling analysis in the Kanto region of Japan'. Together they form a unique fingerprint.

Cite this