Evaluation of Dominant Factors Causing Error in PM2.5 Simulations by Air Quality Models
Project/Area Number |
26740038
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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 |
|
Project Period (FY) |
2014-04-01 – 2017-03-31
|
Project Status |
Completed (Fiscal Year 2016)
|
Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
|
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 / 土壌性ダスト飛散 / 植物起源二次有機粒子 / 越境汚染 / 発生源解析 / モデル間比較 / 乾性・湿性沈着 |
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%.
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Report
(4 results)
Research Products
(51 results)