日本地球惑星科学連合2022年大会

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[J] 口頭発表

セッション記号 H (地球人間圏科学) » H-CG 地球人間圏科学複合領域・一般

[H-CG28] 農業残渣焼却のもたらす大気汚染と健康影響および解決への道筋

2022年5月23日(月) 15:30 〜 17:00 201A (幕張メッセ国際会議場)

コンビーナ:林田 佐智子(総合地球環境学研究所)、コンビーナ:竹内 渉(東京大学生産技術研究所)、Patra Prabir(Research Institute for Global Change, JAMSTEC)、コンビーナ:山地 一代(神戸大学)、座長:Patra Prabir(Research Institute for Global Change, JAMSTEC)、Mizuo Kajino(Meteorological Research Institute)

16:00 〜 16:15

[HCG28-03] Modeling analysis of impacts from Kharif crops residue burning on air quality over North India

*山地 一代1,2梶野 瑞王3,2林田 佐智子2,4、依田 隆志5、佐々木 寛介5、齊藤 萌子5、亀田 ありす5 (1.神戸大学、2.総合地球環境学研究所、3.気象研究所、4.奈良女子大学、5.一般財団法人日本気象協会)

キーワード:大気汚染物質、北部インド、大気化学輸送モデル、排出インベントリ

The remarkable increase in atmospheric pollutant concentrations, such as CO, O3, and PM2.5 over the megacities of South Asia has caused major attention from all over the world. Especially, during the dry season, from October to February, the concentration levels of these atmospheric pollutants tend to be enhanced over the megacities in North India. Our chemical transport model simulation using WRF/CMAQ could capture well the seasonal variability of observed PM2.5 concentrations in Delhi, India, however, the model tended to overestimate PM2.5 in the rainy season but to clearly underestimate in the dry season. The simulated underestimate in the dry season seemed be caused by uncertainties in satellite-derived biomass burning emission inventories, notably for the small-scale open burning after the Kharif harvest and the other unknown sources. A statistical-derived emission inventory for crop residue burning developed by our Aakash project provides higher emissions than satellite-derived inventory. We will show the simulated atmospheric pollutant concentrations using WRF/CMAQ simulation driven by the new statistical-derived emission inventory, and that will help to understand air pollution over North India