Zhao Hui, Zheng You-Fei, Li Shuo, Xu Jing-Xin, Cao Jia-Chen, Wei Li, Guan Qing
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, China.
School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Huan Jing Ke Xue. 2017 Dec 8;38(12):5315-5325. doi: 10.13227/j.hjkx.201704117.
Surface ozone pollution and its negative effects on crops and food safety have attracted the attention of many people. In this study, ozone concentration and meteorological parameters in a winter wheat field were measured from 2014 to 2016. We analyzed the variations in ozone concentration and AOT40 during the growing season for winter wheat. According to the revised stomatal model, the leaf stomatal conductance of winter wheat was simulated and verified by comparing with measured results. Based on the flux model, the leaf stomatal fluxes of winter wheat were calculated. In addition, we estimated the effects of ozone concentration on winter wheat dry matter and yield by using exposure-response relationships and flux-response relationships. The results suggested that the concentration of ozone gradually increased during the growing season for winter wheat and showed a distinct unimodal pattern of diurnal variation. The mean concentrations of ozone were 36.2, 37.7, and 33.6 nL·L, respectively, and the ozone AOT40 values were 17.08, 17.90, and 11.84 μL·(L·h), respectively, during the growing seasons for winter wheat from 2014 to 2016. The Jarvis-type factorial model of stomatal conductance could be used to simulate the stomatal conductance of winter wheat in the region, and approximately 81% of the variation of measured stomatal conductance could be accounted for by the model. The leaf stomatal ozone fluxes of winter wheat were 9.36, 9.32, and 8.65 mmol·m, respectively, from 2014 to 2016. Winter wheat yield decreased about 18.03%, and its dry matter decreased about 19.31% under ozone stress during these three years.
地表臭氧污染及其对作物和食品安全的负面影响已引起许多人的关注。本研究于2014年至2016年对冬小麦田中的臭氧浓度和气象参数进行了测量。我们分析了冬小麦生长季臭氧浓度和AOT40的变化情况。根据修正后的气孔模型，通过与实测结果对比，对冬小麦叶片气孔导度进行了模拟和验证。基于通量模型，计算了冬小麦叶片气孔通量。此外，我们利用暴露 - 响应关系和通量 - 响应关系估算了臭氧浓度对冬小麦干物质和产量的影响。结果表明，冬小麦生长季臭氧浓度逐渐升高，呈现出明显的单峰日变化模式。2014年至2016年冬小麦生长季期间，臭氧平均浓度分别为36.2、37.7和33.6 nL·L，臭氧AOT40值分别为17.08、17.90和11.84 μL·(L·h)。气孔导度的Jarvis型因子模型可用于模拟该地区冬小麦的气孔导度，该模型可解释约81%实测气孔导度的变化。2014年至2016年，冬小麦叶片气孔臭氧通量分别为9.36、9.32和8.65 mmol·m。这三年间，在臭氧胁迫下，冬小麦产量下降了约18.03%，干物质下降了约19.31%。
