Araki Shin 荒木真

… Alternative Names

荒木真アラキシン

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Researcher Number	20794027
Other IDs	https://orcid.org/0000-0002-6149-621X
Affiliation (Current)	2024: 大阪大学, 大学院工学研究科, 招へい研究員
Affiliation (based on the past Project Information) *help	2019 – 2021: 大阪大学, 工学研究科, 招へい研究員
Review Section/Research Field	Except Principal Investigator Basic Section 64010:Environmental load and risk assessment-related
Keywords	Except Principal Investigator ハイブリッドモデル / PM2.5 / NO2 / 曝露評価 / LURモデル / 大気質モデル / 健康影響評価 / 機械学習 / 大気化学輸送モデル / 気象モデル / 曝露量推定モデル / 大気汚染物質

Development of the high-resolution disribution model for the exposure assessment of air pollutants and its application to epidemiological study
- Principal Investigator
  
  Kouhei Yamamoto
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 64010:Environmental load and risk assessment-related
- Research Institution
  Kyoto University

All 2022 2021 2020 2019

All Journal Article Presentation

[Journal Article] Land Use Random Forests Model Incorporating with WRF/CMAQ for Estimating Daily PM2.5 Concentration in Bangkok, Thailand2022
- Author(s)
  Thongthammachart T., Araki S., Shimadera H., Matsuo T., Kondo A.
- Journal Title
  
  EnvironmentAsia Journal
  
  Volume: ー
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K12370
[Journal Article] An integrated model combining random forests and WRF/CMAQ model for high accuracy spatiotemporal PM2.5 predictions in the Kansai region of Japan2021
- Author(s)
  Thongthammachart Tin、Araki Shin、Shimadera Hikari、Eto Shinnosuke、Matsuo Tomohito、Kondo Akira
- Journal Title
  
  Atmospheric Environment
  
  Volume: 262 Pages: 118620-118620
- DOI
  10.1016/j.atmosenv.2021.118620
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K12370
[Journal Article] Estimating historical PM2.5 exposures for three decades (1987 2016) in Japan using measurements of associated air pollutants and land use regression2020
- Author(s)
  Araki Shin、Shima Masayuki、Yamamoto Kouhei
- Journal Title
  
  Environmental Pollution
  
  Volume: 263 Pages: 114476-114476
- DOI
  10.1016/j.envpol.2020.114476
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K12370, KAKENHI-PROJECT-18H03060
[Presentation] 大気汚染物質濃度予測への情報科学的アプローチ2021
- Author(s)
  荒木真、嶋寺光、島正之、山本浩平
- Organizer
  第38回エアロゾル科学・技術研究討論会
- Invited
- Data Source
  KAKENHI-PROJECT-19K12370
[Presentation] Land Use Random Forests Model Incorporating with WRF/CMAQ for Estimating Daily PM2.5 Concentration in Bangkok, Thailand2021
- Author(s)
  Thongthammachart T., Araki S., Shimadera H., Matsuo T., Kondo A
- Organizer
  6th EnvironmentAsia International Conference, Online
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K12370
[Presentation] High Spatiotemporal NO2 Estimates by Land Use Random Forests Integrated with WRF/CMAQ2021
- Author(s)
  Thongthammachart T., Araki S., Shimadera H., Eto S., Matsuo T., Kondo A
- Organizer
  Air & Waste Management Associations 114th Annual Conference & Exhibition, Online
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K12370
[Presentation] PM 2.5 成分濃度推計モデルにおける機械学習アルゴリズムの評価2021
- Author(s)
  荒木真 , 嶋寺光 , 島正之 , 蓮沼英樹 , 余田佳子
- Organizer
  第62回大気環境学会年会
- Data Source
  KAKENHI-PROJECT-19K12370
[Presentation] 統計モデルと物理モデルの融合による近畿地方におけるPM2.5成分濃度の日単位での推計2020
- Author(s)
  荒木真, 嶋寺光，島正之
- Organizer
  第61回大気環境学会年会
- Data Source
  KAKENHI-PROJECT-19K12370
[Presentation] 機械学習を用いた過去30年間にわたる全国スケールPM2.5曝露濃度推計2019
- Author(s)
  荒木　真, 島　正之, 山本浩平
- Organizer
  第60回大気環境学会年会
- Data Source
  KAKENHI-PROJECT-19K12370

1. Kouhei Yamamoto (10263154)

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results
2. 島正之 (40226197)

# of Collaborated Projects: 1 results

# of Collaborated Products: 9 results

Araki Shin 荒木 真

荒木 真 アラキ シン

Research Projects

Research Products

Co-Researchers

Development of the high-resolution disribution model for the exposure assessment of air pollutants and its application to epidemiological study

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Land Use Random Forests Model Incorporating with WRF/CMAQ for Estimating Daily PM2.5 Concentration in Bangkok, Thailand2022

Author(s)

Journal Title

Data Source

[Journal Article] An integrated model combining random forests and WRF/CMAQ model for high accuracy spatiotemporal PM2.5 predictions in the Kansai region of Japan2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Estimating historical PM2.5 exposures for three decades (1987 2016) in Japan using measurements of associated air pollutants and land use regression2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] 大気汚染物質濃度予測への情報科学的アプローチ2021

Author(s)

Organizer

Data Source

[Presentation] Land Use Random Forests Model Incorporating with WRF/CMAQ for Estimating Daily PM2.5 Concentration in Bangkok, Thailand2021

Author(s)

Organizer

Data Source

[Presentation] High Spatiotemporal NO2 Estimates by Land Use Random Forests Integrated with WRF/CMAQ2021

Author(s)

Organizer

Data Source

[Presentation] PM 2.5 成分濃度推計モデルにおける機械学習アルゴリズムの評価2021

Author(s)

Organizer

Data Source

[Presentation] 統計モデルと物理モデルの融合による近畿地方におけるPM2.5成分濃度の日単位での推計2020

Author(s)

Organizer

Data Source

[Presentation] 機械学習を用いた過去30年間にわたる全国スケールPM2.5曝露濃度推計2019

Author(s)

Organizer

Data Source

Araki Shin 荒木真

荒木真アラキシン