布巴内斯瓦尔东部城区臭氧$(\mathbf{O}_{\mathbf{3}})$的季节变化及其与前体($\mathbf{NO}_{\mathbf{x}}$和NMHC)的关联:$\mathbf{O}_{\mathbf{3}}$对NMHC的敏感性高于$\mathbf{NO}_{\mathbf{x}}$

M. Mishra, T. Das, R. Boopathy
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引用次数: 0

摘要

该研究报告了地表臭氧$(\ mathm {O}_{3})$与其主要前体氮氧化物$(\text{NO}_{\ mathm {x}})$和非甲烷烃(NMHCs)之间的关系,因为它们具有重要的科学意义,此外还报告了旨在减少$\ mathm {O}_{3}$污染的政策的实施。对上述微量气体的测量和分析显示,从2021年10月到2022年5月,印度东部城市布巴内斯瓦尔的微量气体之间存在相关性。与整个$\text{NO}_{\ maththrm {x}}$相比,它显示了对nmhc的敏感性。$\text{NMHC} /\text{NO}_{\mathrm{x}}$比值证实NMHC在冬前和冬季占优势,而$\text{NO}_{\mathrm{x}}$在夏季(冬后)占优势。我们还利用多元回归方法建立了一个基于前体浓度预测$\mathrm{O}_{3}$浓度的模型,该模型提供了有关前体($\text{NO}_{\mathrm{x}}$和NMHCs)的重要信息,这些前体有助于$\mathrm{O}_{3}$合成。从预测模型得出的斜率和截距表明,虽然这些前体可以解释浓度的很大一部分,但其他前体的其他未确定贡献和一些神秘的化学活动(特别是在夜间)仍然未被揭示。因此,该研究强调有必要通过遥感和限制NMHC排放等其他方法确定更多的前体,这在了解和降低当前情景下的地面臭氧水平方面可能发挥关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Seasonal day-night variation of ozone $(\mathbf{O}_{\mathbf{3}})$ in an eastern urban site, Bhubaneswar and its association with precursors ($\mathbf{NO}_{\mathbf{x}}$ and NMHC): More sensitivity of $\mathbf{O}_{\mathbf{3}}$ to NMHC than $\mathbf{NO}_{\mathbf{x}}$
The study reports on the relationships between surface ozone $(\mathrm{O}_{3})$ and its principal precursors, nitrogen oxides $(\text{NO}_{\mathrm{x}})$ and non-methane hydrocarbons (NMHCs), due to their scientific importance, in addition to the implementation of policies aimed at reducing $\mathrm{O}_{3}$ pollution. Measurements and analyses of the mentioned trace gases revealed correlations between them in a city in Eastern India, Bhubaneswar, from October 2021 to May 2022. It demonstrates sensitivity to NMHCs when compared to $\text{NO}_{\mathrm{x}}$ as a whole. The $\text{NMHC} /\text{NO}_{\mathrm{x}}$ ratios confirm NMHC dominance in pre-winter and winter, while $\text{NO}_{\mathrm{x}}$ dominance is confirmed in summer (post-winter). A multivariate regression approach was also utilised to develop a model to predict $\mathrm{O}_{3}$ concentrations based on precursor concentrations, which offers significant information on the precursors ($\text{NO}_{\mathrm{x}}$ and NMHCs) that contribute to $\mathrm{O}_{3}$ synthesis. The slope and intercept derived from the prediction model indicatethat, while these precursors can explain a significant portion of the concentration, there are other unidentified contributions from other precursors and some mysterious chemical activities going on (especially at night) that has remained unrevealed. Thus, the study emphasizes the necessity of identifying additional precursors via other methodologies such as remote sensing and limiting NMHC emissions, which could play a crucial role in both understanding and lowering ground-level ozone in the current scenario.
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