日本地球惑星科学連合2022年大会

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[J] ポスター発表

セッション記号 A (大気水圏科学) » A-CG 大気海洋・環境科学複合領域・一般

[A-CG43] 北極域の科学

2022年5月29日(日) 11:00 〜 13:00 オンラインポスターZoom会場 (11) (Ch.11)

コンビーナ:Ono Jun(JAMSTEC Japan Agency for Marine-Earth Science and Technology)、コンビーナ:両角 友喜(北海道大学 大学院農学研究院)、島田 利元(宇宙航空研究開発機構)、コンビーナ:堀 正岳(東京大学大気海洋研究所)、座長:小野 純(国立研究開発法人 海洋研究開発機構)

11:00 〜 13:00

[ACG43-P05] Development of a portable PM2.5 measurement system for cold regions and its deployment from the Hokuriku region to Northern Japan

*安成 哲平1,2、若林 成人3、松見 豊4、的場 澄人5、高橋 文宏6齊藤 誠一1,6、石田 祐宣7、中井 専人8 (1.北海道大学 北極域研究センター、2.北海道大学 広域複合災害研究センター、3.北海道大学 大学院工学院、4.名古屋大学 宇宙地球環境研究所、5.北海道大学 低温科学研究所、6.株式会社グリーン&ライフイノベーション、7.弘前大学 大学院理工学研究科、8.防災科学技術研究所 雪氷防災研究センター)

キーワード:PM2.5、寒冷地、大気汚染、観測、機器開発、森林火災

We have developed a special insulation box that automatically adjusts the temperature inside to maintain warm even the outside air temperature was severely cold such in the conditions of the winter of Siberia and Alaska, the Arctic, and Antarctica. A portable PM2.5 sensor developed by Nagoya University and Panasonic, Co., Ltd. (Nakayama et al., 2018, https://doi.org/10.1080/02786826.2017.1375078) was installed attached in an iron box and further installed in the insulation box. We confirmed the performance of the insulation box and named the device “the portable PM2.5 measurement system for cold regions” in our recent paper (Yasunari et al., submitted and revised). First, we will summarize the performance of the prototype of the insulation box reported in the paper. After that, some minor updates were carried out for the insulation box, and now its commercial version is available to Tanaka, Co., Ltd. (http://kktanaka.co.jp/products)

To assess the transboundary air pollution transport from the Eurasian continent, such as Siberian wildfire smoke (e.g., Yasunari et al., 2018, https://doi.org/10.1038/s41598-018-24335-w), we recently installed the latest PM2.5 measurement systems in Hakodate (Hokkaido; https://www.arc.hokudai.ac.jp/en/210421-1/), Hirosaki (Aomori; https://www.arc.hokudai.ac.jp/en/210702-1/), and Nagaoka (Niigata; https://www.arc.hokudai.ac.jp/en/211104-1/). We started the observations in 2021 from April 19, June 28, and November 1, respectively. In this presentation, we introduce the time-series data of each observation, comparing them to the nearby station data by the Ministry of Environment from the AEROS website (called Soramame-Kun in Japanese; https://soramame.env.go.jp/). We used the calculated hourly mean data from the measurements at the three sites. We compared them to the nearby AEROS station data (Chubu Elementary School in Hakodate, Bunkyou Elementary School in Hirosaki, and Sirooka-Jihai in Nagaoka). The AEROS station in Hakodate is an ambient air quality monitoring station, and the others in Hirosaki and Nagaoka are roadside monitoring stations. We calculated the number of the most frequently available data per hour for the data periods. On the calculated hourly mean data, we used the mean data for further analyses only when the number of data per hour was greater than 90% of the most frequent value. We used half an hour for plotting, but we also excluded data when the calculated center time of the hour in the hourly mean data by more than one minute due to possible other data biases. On comparisons between our observations and the AEROS data, the highest correlations were found in Hakodate as a case of comparisons with the ambient air quality monitoring station. For example, in Hakodate, on May 8-9, the PM2.5 mass concentrations were highly increased (greater than 50 μg m-3), corresponding to the Asian dust transport from the Gobi desert. In Hirosaki, the AEROS station frequently showed a higher PM2.5 background level. However, our data observed at the rooftop of the Faculty of Science and Technology, Hirosaki University, showed relatively clean background conditions. Although the data covering period is still short in Nagaoka, our data and the AEROS data perhaps capture the large timely variations of PM2.5. However, our data showed a relatively clean PM2.5 background. We introduce more characteristics of the PM2.5 variations on the presentation day at each observation site.