印度喜马拉雅山杜恩山谷上空的地表臭氧:特征、影响评估和模型结果

IF 3.8 Q2 ENVIRONMENTAL SCIENCES
S. Harithasree , Kiran Sharma , Imran A. Girach , Lokesh K. Sahu , Prabha R. Nair , Narendra Singh , Johannes Flemming , S. Suresh Babu , N. Ojha
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引用次数: 0

摘要

喜马拉雅山的空气质量和气候受到山谷地区强烈人为排放和光化学过程的严重影响。考虑到快速的城市化和人口增长,我们在 2018 年 4 月至 2023 年 6 月期间对印度喜马拉雅山杜恩山谷进行了地表臭氧(O3)测量,并结合卫星观测和建模分析。据观测,季风前期中午的臭氧水平最高(5 月份为 63.8 ± 15.3 ppbv),冬季和季风季节较低(22.1-56.7 ppbv)。值得注意的是,在四月至六月期间,每天最大 8 小时平均值(MDA8)的臭氧浓度超过 50 ppbv 临界值的天数占 60%,这表明该地区的臭氧浓度对健康有很大影响。在这一时期,臭氧暴露对植被的影响也很大,这可以从高于阈值 40 ppbv 的臭氧累积指数(AOT40)和日间 7 小时平均指数(M7)中反映出来。哥白尼大气监测服务(CAMS)再分析成功地再现了观测到的中午臭氧浓度变化(r2 = 0.79-0.91)。对 CAMS 模式中一种示踪剂的分析表明,平流层对地表 O3 的平均贡献通常较小(最多为 8%)。这表明,O3 污染主要受区域排放和气象条件所支持的光化学生成影响。结合原地 O3 测量和卫星检索(HCHO 和 NO2)进行的分析表明,光化学 O3 生成处于过渡或挥发性有机化合物受限状态,因此应减少 NOx 和挥发性有机化合物 (VOC) 的排放,以减轻 O3 污染。最后,考虑到非线性因素的统计模型被成功应用于模拟从现有卫星观测数据和气象再分析数据中观测到的臭氧变化(r2 = 0.75,RMSE = 7 ppbv)。我们的研究强调了减轻印度喜马拉雅山杜恩山谷臭氧污染的必要性,同时也为制定科学的政策提供了宝贵的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Surface ozone over Doon valley of the Indian Himalaya: Characteristics, impact assessment, and model results

The air quality and climate of the Himalaya is found to be impacted profoundly by strong anthropogenic emissions and photochemical processes in the valley region. Considering rapid urbanization and population growth, we performed surface ozone (O3) measurements over Doon valley of the Indian Himalaya during April 2018–June 2023, in conjunction with the analysis of satellite observations and modeling. Noontime O3 levels are observed to be the highest during pre-monsoon (63.8 ± 15.3 ppbv in May) and lower (22.1–56.7 ppbv) during winter and monsoon seasons. Notably, the daily maximum 8-h average (MDA8) O3 exceeds the 50 ppbv threshold for ∼60% of the days during April–June, which suggests substantial health impacts in the region. Impact of O3 exposure on vegetation is also significant during this period of year, as reflected from high Accumulated Ozone above Threshold 40 ppbv (AOT40) and Mean of daytime 7 hours (M7) indices. The Copernicus Atmosphere Monitoring Service (CAMS) reanalysis successfully reproduced the observed variability in the noontime O3 (r2 = 0.79–0.91). Analysis of a tracer in the CAMS model shows that the mean stratospheric contributions to surface O3 were typically smaller (up to 8%). This suggests that O3 pollution is governed primarily by the photochemical production favored by regional emissions and meteorological conditions. Analysis combining in-situ O3 measurements with satellite retrievals (HCHO and NO2) revealed that the photochemical O3 production is in the transition or VOC-limited regime, and therefore emission of both NOx and volatile organic compounds (VOCs) are to be reduced to mitigate O3 pollution. Finally, a statistical model considering the non-linearities was successfully applied to simulate observed O3 variability from available satellite observations and meteorological reanalysis data (r2 = 0.75, RMSE = 7 ppbv). Our study highlights the need to mitigate O3 pollution in the Doon valley of the Indian Himalaya and also provides invaluable inputs for designing science-informed policies.

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来源期刊
Atmospheric Environment: X
Atmospheric Environment: X Environmental Science-Environmental Science (all)
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