Comparison of global air pollution impacts across horizontal resolutions

IF 3.8 Q2 ENVIRONMENTAL SCIENCES Atmospheric Environment: X Pub Date : 2024-10-26 DOI:10.1016/j.aeaoa.2024.100303
Thanapat Jansakoo , Ryouichi Watanabe , Akio Uetani , Satoshi Sekizawa , Shinichiro Fujimori , Tomoko Hasegawa , Ken Oshiro
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Abstract

The impact of ambient air pollution on human health, particularly fine particulate matter (PM2.5) and tropospheric ozone (O3), is a critical global concern. Atmospheric chemical transport models (CTMs) are widely used to predict air pollutant concentrations and assess associated health risks. However, there is a need to better understand how the horizontal resolution of these models influences their accuracy, especially in future assessments. In this study, we compared the performance of global low-resolution CTMs with high-resolution nested simulations for estimating O3 and PM2.5 concentrations. The models were validated against observational data to determine their accuracy across different spatial scales and to evaluate their suitability for future scenario assessments. Our findings demonstrate that while the nested-grid simulations improved the reproducibility of regional observations, especially in areas with complex topography or localized emissions, the overall global-scale performance of the model did not significantly benefit from higher resolution. Additionally, the differences in global health and agricultural impacts between low- and high-resolution simulations were minor and within the range of uncertainty typically associated with emission inventories and CTMs. However, for specific regional studies or policy applications, higher resolution may offer improved accuracy. Ultimately, the current low-spatial-resolution model provides sufficient accuracy for many global-scale applications, but the choice of resolution should be carefully considered depending on the specific objectives of the study especially in future scenario.

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不同水平分辨率下全球空气污染影响的比较
环境空气污染,尤其是细颗粒物(PM2.5)和对流层臭氧(O3)对人类健康的影响是全球关注的一个重要问题。大气化学传输模型(CTM)被广泛用于预测空气污染物浓度和评估相关的健康风险。然而,有必要更好地了解这些模型的水平分辨率如何影响其准确性,尤其是在未来的评估中。在这项研究中,我们比较了全球低分辨率 CTM 与高分辨率嵌套模拟在估计 O3 和 PM2.5 浓度方面的性能。这些模型与观测数据进行了验证,以确定它们在不同空间尺度上的准确性,并评估它们是否适合未来的情景评估。我们的研究结果表明,虽然嵌套网格模拟提高了区域观测的再现性,尤其是在地形复杂或局部排放的地区,但模型在全球范围内的整体表现并没有从更高的分辨率中明显受益。此外,低分辨率模拟与高分辨率模拟在全球健康和农业影响方面的差异较小,在排放清单和气候变异模型的典型不确定性范围内。不过,对于特定的区域研究或政策应用,更高的分辨率可能会提高准确性。归根结底,目前的低空间分辨率模型为许多全球尺度应用提供了足够的准确性,但分辨率的选择应根据研究的具体目标,尤其是未来情景进行仔细考虑。
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来源期刊
Atmospheric Environment: X
Atmospheric Environment: X Environmental Science-Environmental Science (all)
CiteScore
8.00
自引率
0.00%
发文量
47
审稿时长
12 weeks
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