Wang Haichao, Chen Xiaorui, Lu Keding, Tan Zhaofeng, Ma Xuefei, Wu Zhijun, Li Xin, Liu Yuhan, Shang Dongjie, Wu Yusheng, Zeng Limin, Hu Min, Schmitt Sebastian, Kiendler-Scharr Astrid, Wahner Andreas, Zhang Yuanhang
State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
Sci Bull (Beijing). 2020 May 15;65(9):765-774. doi: 10.1016/j.scib.2020.02.006. Epub 2020 Feb 10.
The heterogeneous hydrolysis of dinitrogen pentoxide (NO) plays an important role in regulating NO. The NO uptake coefficient, γ(NO), was determined using an iterative box model that was constrained to observational data obtained in suburban Beijing from February to March 2016. The box model determined 2289 individual γ(NO) values that varied from <0.001 to 0.02 with an average value of 0.0046 ± 0.0039 (and a median value of 0.0032). We found the derived winter γ(NO) values in Beijing were relatively low as compared to values reported in previous field studies conducted during winter in Hong Kong (average value of 0.014) and the eastern U.S. coast (median value of 0.0143). In our study, field evidence of the suppression of γ(NO) values due to pNO content, organics and the enhancement by aerosol liquid water content (ALWC) is in line with previous laboratory study results. Low ALWC, high pNO content, and particle morphology (inorganic core with an organic shell) accounted for the low γ(NO) values in the North China Plain (NCP) during wintertime. The field-derived γ(NO) values are well reproduced by a revised parameterization method, which includes the aerosol size distribution, ALWC, nitrate and organic coating, suggesting the feasibility of comprehensive parameterization in the NCP during wintertime.
五氧化二氮（NO）的非均相水解在调节NO方面起着重要作用。采用迭代箱式模型确定了NO吸收系数γ(NO)，该模型受2016年2月至3月在北京郊区获得的观测数据约束。箱式模型确定了2289个单独的γ(NO)值，其范围从<0.001到0.02，平均值为0.0046±0.0039（中位数为0.0032）。我们发现，与先前在冬季于香港进行的实地研究（平均值为0.014）和美国东海岸（中位数为0.0143）所报告的值相比，北京冬季得出的γ(NO)值相对较低。在我们的研究中，由于pNO含量、有机物导致γ(NO)值受到抑制以及气溶胶液态水含量（ALWC）使其增强的实地证据与先前的实验室研究结果一致。低ALWC、高pNO含量和颗粒形态（无机核心包裹有机外壳）导致了华北平原（NCP）冬季γ(NO)值较低。通过一种修订的参数化方法能够很好地再现实地得出的γ(NO)值，该方法包括气溶胶粒径分布、ALWC、硝酸盐和有机涂层，这表明冬季在华北平原进行综合参数化是可行的。
