Development of determination and prediction method of long-range transport event of atmospheric aerosol particles using machine learning algorithm

• Project/Area Number: 18K04407
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 22060:Environmental systems for civil engineering-related
• Research Institution: University of Yamanashi
• Principal Investigator: Kobayashi Hiroshi 山梨大学, 大学院総合研究部, 准教授 (20313786)
• Project Period (FY): 2018-04-01 – 2021-03-31
• Project Status: Completed (Fiscal Year 2020)
• Budget Amount: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000); Fiscal Year 2020: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000); Fiscal Year 2019: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000); Fiscal Year 2018: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
• Keywords: 越境輸送微粒子 / 偏光光散乱式粒子計測器 / ディープラーニング / 鉱物粒子 / 大気汚染粒子 / 観測ネットワーク / 畳み込みニューラルネットワーク / 機械学習アルゴリズム / 濃度予測 / 大気エアロゾル粒子 / 越境輸送 / 黄砂 / 人為起源粒子

Outline of Final Research Achievements

In this study, we continued to add new observation site at the foot of Mt. FUji to the polarization OPC observation network to determine and predict events of long-range transported particles. We have improved the method for estimating the concentration by composition, and the accuracy of the estimation of the particle size and mass concentration of mineral particles and deliquescent particles, which are often included in anthropogenic secondary particles, has been greatly improved. A model that can determine long-range transport events has been developed using deep learning. As for the prediction, we have not been able to obtain sufficient results at present, so we will continue to improve the model in the future.

Academic Significance and Societal Importance of the Research Achievements

環境基準に微小粒子状物質が加えられたことや報道により北京での高濃度の様子が伝えられることにより，広く社会に微粒子の健康影響が意識されるようになっている．このような状況で微粒子の関する観測ネットワークを維持し，そのデータを公開するだけではなく濃度予測にも活用を試みたことが社会的な意義が高い．また，特許を取得しているオリジナルの測定器による観測ネットワークは世界で唯一であり，学術的にも貴重なデータである．

Research Products

• [Journal Article] Synergistic effect of water-soluble species and relative humidity on morphological changes of aerosol particles in Beijing mega-city during severe pollution episodes (2019)
  • Author(s): Pan, X., Ge, B., Wang, Z., Tian, Y., Liu, H., Wei, L., Yue, S., Uno, I., Kobayashi, H., Nishizawa, T., Shimizu, A., Fu, P., Wang, Z.
  • Journal Title: Atmospheric Chemistry and Physics Volume: 19 Issue: 1 Pages: 219-232
  • DOI: 10.5194/acp-19-219-2019
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Journal Article] Variability of depolarization of aerosol particles in the megacity of Beijing: implications for the interaction between anthropogenic pollutants and mineral dust particles (2018)
  • Author(s): Yu Tian, Xiaole Pan, Tomoaki Nishizawa, Hiroshi Kobayashi, Itsushi Uno, Xiquan Wang, Atsushi Shimizu, and Zifa Wang
  • Journal Title: Atmospheric Chemistry and Physics Volume: 18 Issue: 24 Pages: 18203-18217
  • DOI: 10.5194/acp-18-18203-2018
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Presentation] 山岳域における偏光OPCによる大気エアロゾル観測 (2021)
  • Author(s): 小林 拓
  • Organizer: 東京理科大学総合研究院大気科学研究部門第５回成果報告会
• [Presentation] 衛星データと山岳観測拠点での連続測定を組み合わせた自由対流圏中黄砂の動態解析 (2019)
  • Author(s): 石井雄太
  • Organizer: 第5回山岳科学学術集会
• [Presentation] 偏光光散乱式粒子計測器を用いた組成別エアロゾル質量濃度推定法の改良 (2018)
  • Author(s): 沖 由裕，石井雄太，小林 拓，白石浩一，林 政彦，鵜野 伊津志，西澤智明，清水 厚，杉本伸夫
  • Organizer: 第３５回エアロゾル科学・技術研究討論会
• [Remarks] POPCARN (POPC Aerosol monitoRing Network)
  • URL: http://popcarn.yamanashi.ac.jp/