Evaluation of Dominant Factors Causing Error in PM2.5 Simulations by Air Quality Models

2016 Fiscal Year Final Research Report

• Project/Area Number: 26740038
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Modeling and technologies for environmental conservation and remediation
• Research Institution: Osaka University
• Principal Investigator: SHIMADERA Hikari 大阪大学, 工学研究科, 助教 (20647367)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: 大気質モデル / PM2.5 / 感度解析 / 地域汚染 / 長距離輸送 / 鉛直拡散 / エアロゾル直接効果 / 気象モデル

Outline of Final Research Achievements

In order to identify dominant factors causing error in PM2.5 simulations by air quality models, the following studies were conducted: a comparison of model performances for air quality simulations by CMAQ and CAMx; an evaluation of model performance for simulating local pollution and long-range transport of PM2.5; an impact assessment of meteorology-chemistry feedback on PM2.5 simulation by using the online-coupled WRF-CMAQ; a sensitivity analysis of simulated PM2.5 concentration fields to air quality model configurations. Various air quality simulations in these studies generally underestimated PM2.5 concentration in Japan. Therefore, factors causing the underestimate of PM2.5 concentration was revised for improvement of the air quality model performance, which resulted in mitigation of the underestimate by 39%.

Free Research Field

大気環境工学