Xie Qianqian, Chen Weihua, Yuan Bin, Huangfu Yibo, He Xianjun, Wu Liqing, Liu Mingkai, You Yingchang, Shao Min, Wang Xuemei
College of Environment and Climate, Institute for Environmental and Climate Research, Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Jinan University, Guangzhou 510632, China.
College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524000, China.
Environ Sci Technol. 2025 Apr 29;59(16):8085-8098. doi: 10.1021/acs.est.5c00001. Epub 2025 Apr 14.
Recent observations have revealed unexpectedly high concentrations of monoterpenes (MT) in urban areas, frequently surpassing those in forested regions. These findings suggest significant anthropogenic contributions (MT), challenging the traditional view that MT emissions are predominantly natural (MT) in current inventories. This oversight likely results in a substantial underestimation of MT's role in urban ozone (O) production. Therefore, we developed a novel approach to generate a gridded emission inventory (EI) of MT, integrating flux measurements of MT and carbon monoxide (CO). Results show that MT emission rate in Beijing core areas exceeds MT by a factor of 1.83, with household volatile chemical products (VCPs) contributing 56% of total MT emissions. Incorporating MT emissions into the Weather Research and Forecasting Model coupled with Chemistry (WRF-Chem) model significantly improved the simulation of diurnal MT variations (correlation coefficient, = 0.985) and reduced the normalized mean bias () in surface MT concentration predictions by 53%. Notably, the combined effects of anthropogenic and biogenic MT emissions increased summertime maximum daily 8-h average (MDA8) O levels by 12.8 ppb in Beijing core areas, with MT from household VCPs (MT) accounting for 62% of the MT-driven O increase. This study provides a robust quantitative foundation for assessing the impact of anthropogenic MT emissions on urban air quality and highlights the urgent need for targeted regulatory measures to mitigate their growing contribution to O pollution.
最近的观测结果显示,城市地区单萜烯(MT)的浓度出奇地高,常常超过森林地区。这些发现表明人为排放对MT有重大贡献,这对当前清单中MT排放主要为自然排放的传统观点提出了挑战。这种疏忽可能导致对MT在城市臭氧(O)生成中作用的严重低估。因此,我们开发了一种新方法来生成MT的网格化排放清单(EI),整合了MT和一氧化碳(CO)的通量测量数据。结果表明,北京核心区域的MT排放率比MT高出1.83倍,家用挥发性化学产品(VCPs)占MT总排放量的56%。将MT排放纳入气象研究与预报模型并结合化学模型(WRF-Chem),显著改善了MT日变化的模拟(相关系数,=0.985),并将地表MT浓度预测的归一化平均偏差()降低了53%。值得注意的是,人为和生物源MT排放的综合影响使北京核心区域夏季每日最大8小时平均(MDA8)O水平增加了12.8 ppb,其中来自家用VCPs的MT(MT)占MT导致的O增加量的62%。本研究为评估人为MT排放对城市空气质量的影响提供了有力的定量基础,并突出了采取针对性监管措施以减轻其对O污染日益增长贡献的迫切需求。