Numerical predictions of sulfur and nitrogen depositions through fog in forest areas
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- Shimadera Hikari
- Graduate School of Engineering, Osaka University Research Fellow of the Japan Society for the Promotion of Science
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- Kondo Akira
- Graduate School of Engineering, Osaka University
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- Kaga Akikazu
- Graduate School of Engineering, Osaka University
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- Shrestha Kundan Lal
- Graduate School of Engineering, Osaka University Research Fellow of the Japan Society for the Promotion of Science
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- Inoue Yoshio
- Graduate School of Engineering, Osaka University
Bibliographic Information
- Other Title
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- 森林地域における霧による硫黄および窒素沈着量の数値予測
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Abstract
This paper presented a method to estimate the spatial distributions of fog water deposition and corresponding sulfur and nitrogen depositions. A two-dimensional fog deposition model (FDM) to predict the turbulent fog water flux was developed. The FDM-predicted turbulent fog water flux depended on the wind speed and forest parameters. Comparisons of FDM with measurement data showed that the model well reproduced the turbulent deposition of fog water during typical fog events in mountainous regions. In order to estimate fog deposition in the Kinki Region of Japan, FDM was utilized with the results derived from the 5th generation Mesoscale Model (MM5) and the Community Multiscale Air Quality model (CMAQ) in March 2005. In the mountainous areas, the ratios of fog water deposition to rainfall reached up to 22.5% (mean = 3.4 %). The amounts of S and NOY depositions through fog were equivalent to those through rainfall and more than those through dry deposition in some areas. A longer term prediction (1year ~) is required for further study because the contribution of fog may considerably vary with seasonal variations in the meteorology, air quality and vegetation structure.
Journal
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- Journal of Japan Society for Atmospheric Environment / Taiki Kankyo Gakkaishi
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Journal of Japan Society for Atmospheric Environment / Taiki Kankyo Gakkaishi 45 (6), 247-255, 2010
Japan Society for Atmospheric Environment
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Details 詳細情報について
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- CRID
- 1390001204616801024
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- NII Article ID
- 130004554390
- 10026966502
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- NII Book ID
- AN10512108
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- ISSN
- 21854335
- 13414178
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- NDL BIB ID
- 10899106
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed
