日本地球惑星科学連合2022年大会

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[J] ポスター発表

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31日(火) 11:00 〜 13:00 オンラインポスターZoom会場 (16) (Ch.16)

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)

11:00 〜 13:00

[HCG28-P07] Simulated impacts of agricultural residue burning on autumn air quality in northwestern India

*Mizuo Kajino1,2,3、Joseph Ching1,2Kazuyo Yamaji4,2、Rio Ishikawa3,1Sachiko Hayashida2,5 (1.Meteorological Research Institute、2.Research Institute for Humanity and Nature、3.University of Tsukuba、4.Kobe University、5.Nara Women's University)

キーワード:Air quality modeling, Ground based observation, Source term uncertainty

Japan Meteorological Agency's regional meteorology-chemistry model (NHM-Chem) was used to simulate the impacts of agricultural residue burning on air quality, such as CO, O3, and PM2.5 in northwesten India. The study period is in October and November of 2019, when the surface PM2.5 concentration in Delhi reached almost 1000 micrograms per cubic meter. During the period, rice residues were burned intensively mainly in Punjab state, located upwind (northwest) of Delhi. The rice residue burning probably affected air quality in Delhi, but anthropogenic emissions in Delhi should also affect air quality. Simulation using satellite-derived daily fire emissions failed to reproduce the significant enhancement of PM2.5 concentration observed in November 2 and 3. It is probably because due to the presence of cloud or smoke, fire emission was significantly underestimated by satellites. Accurate estimation of the impacts of rice residue burning on air quality requires development of bottom-up fire emission inventory to validate the satellite-derived emissions and additional installation of intensive monitoring network of surface air pollutants concentrations to validate the simulated spatio-temporal distributions.