温带树种的季节性生物挥发性有机化合物排放因子:对排放估算和臭氧形成的影响

IF 7.6 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
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引用次数: 0

摘要

生物挥发性有机化合物(BVOC)在不同物种和不同季节的排放差异给准确的区域排放估算和有效的臭氧(O)控制政策带来了挑战。为解决这一问题,我们对北京六种主要树种四季的排放因子进行了现场测量。随后,我们开发了月度动态标准排放因子 (s),以模拟全市和各区的月度 BVOC 排放及其对臭氧形成的影响。我们的观测结果表明,BVOC 的组成和排放率存在明显的季节性差异,而且它们对月平均气温的反应也不尽相同。通过引入 s,我们估算出北京主要树种的 BVOC 排放量为每年 38.2 千兆克,其中单萜和异戊二烯分别占 49% 和 11%。这种计算方法在地区层面上将与恒定标准排放因子相关的高估率降低了 31%-38%。估算结果还显示了植物组成的地区差异,而不是地区温度和光合有效辐射期的简单反馈。在这些条件下,每月 BVOC 诱导的 O 浓度最大值出现在 8 月份,各地区的浓度范围在 4 到 17 μg m 之间,异戊二烯是最主要的贡献者。这些结果表明,在制定城市 BVOC 排放清单时,有必要引入优势物种 BVOC 排放的物种特异性节律。这种方法可为制定符合当地植被组成和 O 污染特征的空气污染管理政策提供依据。对于北京和其他类似的北方城市来说,在区域环境 O 浓度峰值期间减少使用排放大量异戊二烯的树种,可能是未来改善城市空气质量的一种有效的自然解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Seasonal biogenic volatile organic compound emission factors in temperate tree species: Implications for emission estimation and ozone formation

Seasonal biogenic volatile organic compound emission factors in temperate tree species: Implications for emission estimation and ozone formation

Variability in biogenic volatile organic compound (BVOC) emissions across species and seasons poses challenges for accurate regional emission estimates and effective ozone (O3) control policies. To address this issue, we conducted in-situ measurements of emission factors for six dominant tree species in Beijing across four seasons. Subsequently, we developed monthly dynamic standard emission factors (SER-MDs) to model monthly BVOC emissions and their impacts on O3 formation at citywide and district levels. Our observations revealed pronounced seasonal differences in the BVOC composition and emission rates, as well as their responsiveness to monthly average temperature. By introducing the SER-MDs, we estimated BVOC emissions from the dominant tree species in Beijing to be 38.2 Gg yr−1, with monoterpenes and isoprene contributing 49% and 11%, respectively. This calculation reduced the overestimation associated with constant standard emission factors by 31%–38% at district level. The estimates also revealed regional differences in plant compositions rather than simple feedback from regional temperature and photosynthetically active radiation periods. Under these conditions, the maximum monthly BVOC-induced O3 concentration occurred in August and ranged from 4 to 17 μg m−3 across districts, with isoprene being the dominant contributor. Quercus mongolica and Populus tomentosa played significant roles in the formation of BVOC-induced O3 due to their strong isoprene emitting potential in July–August. These results indicate the necessity of introducing species-specific rhythms of BVOC emissions from dominant species in the development of urban BVOC emission inventories. This approach could inform the development of air pollution management policies that are consistent with the local vegetation composition and O3 pollution characteristics. For Beijing and other similar northern cities, reducing the use of tree species emitting substantial amounts of isoprene during periods of regional peak ambient O3 concentrations could constitute an effective nature-based solution for improving urban air quality in the future.

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来源期刊
Environmental Pollution
Environmental Pollution 环境科学-环境科学
CiteScore
16.00
自引率
6.70%
发文量
2082
审稿时长
2.9 months
期刊介绍: Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health. Subject areas include, but are not limited to: • Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies; • Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change; • Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects; • Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects; • Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest; • New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.
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