Marine and Atmospheric Sciences Department, Indian Institute of Remote Sensing, Indian Space Research Organisation, Kalidas Road, Dehradun, India.
Department of Physics, DSB Campus, Kumaun University, Nainital, India.
Environ Sci Pollut Res Int. 2021 Feb;28(7):8722-8742. doi: 10.1007/s11356-020-11099-y. Epub 2020 Oct 17.
MOZART-4 chemistry transport model has been used to examine the contribution of carbon monoxide (CO) from different source regions/types by tagging their emissions in model simulations. These simulations are made using tagged tracer approach to estimate the relative contribution of different geographical regions and different emission sources, such as anthropogenic or biomass burning to the CO concentration at the surface, in the planetary boundary layer (PBL), and in the free troposphere (FT) over the Indian sub-continent. The CO budget analyses highlight the significant contribution of the Indian emissions on surface CO and influence of chemical production on the free tropospheric CO concentration. The total CO mixing ratio is estimated as 263 ± 139 parts per billion by volume (ppbv) for surface, 177 ± 71 ppbv for PBL, and 112 ± 14 ppbv for FT. The percentage contributions of primary sources are found to be 80%, 68%, and 53% at the surface, in the PBL, and in the FT, respectively. The sub-regional analysis of India shows that anthropogenic and photochemical processes contribute 41-75% and 15-46% CO, respectively, at the surface. Maximum percentage contribution of anthropogenic CO is observed over Indo-Gangetic Plain and Eastern India (75%). CO contribution from local anthropogenic and biomass burning emissions and transported from other global source regions are analyzed over the Indian region at the surface, in the PBL, and in the FT. The local anthropogenic sources contribute largest to the surface CO over India with 108 ppbv, followed by China with 98 ppbv, Europe with 55 ppbv, North America (NA) with 46 ppbv, and South-east Asia (SEA) and Middle East (ME) with 23 ppbv each. India's PBL (FT) CO is mostly influenced by China's anthropogenic emissions with 12 ppbv (8 ppbv) followed by SEA with 7 ppbv (6 ppbv). Surface biomass burning CO over India (6 ppbv) is much lower than in other regions such as SEA (32 ppbv), Africa (24 ppbv), and South America (11 ppbv). In the PBL (FT), SEA and Africa's BB emissions show major impact on CO over India with 6 ppbv (5 ppbv) and 5 ppbv (4 ppbv), respectively.
MOZART-4 化学输送模式已被用于通过标记排放源来研究来自不同源区/类型的一氧化碳 (CO) 的贡献。这些模拟使用标记示踪剂方法进行,以估计不同地理区域和不同排放源(如人为源或生物质燃烧)对印度次大陆地表、行星边界层 (PBL) 和自由对流层 (FT) 中 CO 浓度的相对贡献。CO 预算分析强调了印度排放对地表 CO 的显著贡献以及化学产生对自由对流层 CO 浓度的影响。地表 CO 的总混合比估计为 263 ± 139 十亿分率 (ppbv),PBL 为 177 ± 71 ppbv,FT 为 112 ± 14 ppbv。主要源的百分比贡献分别为 80%、68%和 53%,地表、PBL 和 FT。印度次大陆的次区域分析表明,人为和光化学过程分别贡献 41-75%和 15-46%的 CO,地表。在印度恒河平原和东部地区观察到人为 CO 的最大百分比贡献为 75%。在地表、PBL 和 FT 上分析了印度次大陆上的本地人为和生物质燃烧排放物及其从其他全球源区的输送。本地人为源对印度的地表 CO 贡献最大,为 108 ppbv,其次是中国的 98 ppbv、欧洲的 55 ppbv、北美 (NA) 的 46 ppbv,以及东南亚 (SEA) 和中东 (ME) 的 23 ppbv。印度的 PBL(FT)CO 主要受中国人为排放的影响,分别为 12 ppbv(8 ppbv)和 SEA 的 7 ppbv(6 ppbv)。印度地表生物质燃烧 CO(6 ppbv)远低于其他地区,如 SEA(32 ppbv)、非洲(24 ppbv)和南美洲(11 ppbv)。在 PBL(FT)中,SEA 和非洲的 BB 排放对印度的 CO 产生了重大影响,分别为 6 ppbv(5 ppbv)和 5 ppbv(4 ppbv)。