Xu Jing-Xin, Zheng You-Fei, Zhao Hui, Chu Zhong-Fang, Huang Qi-Qing, Yuan Yue
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Huan Jing Ke Xue. 2017 Oct 8;38(10):4427-4437. doi: 10.13227/j.hjkx.201702122.
To better understand the ozone deposition and risk assessment over agroecosystems based on the ozone flux indices, an eddy-covariance system was used for measuring the ozone deposition continuously and dynamically in a winter wheat field. We analyzed the variations in ozone concentration, total ozone flux, and stomatal and non-stomatal flux. The relationships between stomatal/non-stomatal ozone deposition velocity and the main meteorological factors were investigated. Finally, the yield losses of winter wheat based on the ozone-dose index (AOT40) and ozone flux index (DF06) were calculated. Results showed that average daily ozone concentration () was 32.9 nL·L. The daytime (08:00-18:00) and nighttime total ozone flux () were -7.6 nmol·(m·s) and -3.1 nmol·(m·s), respectively, and the mean diurnal was -5.1 nmol·(m·s). The mean daily stomatal ozone flux () and non-stomatal ozone flux () ranged from 0 to -5.1 nmol·(m·s) and from -1.43 to -10.31 nmol·(m·s), respectively. The mean diurnal and were -1.43 nmol·(m·s) and -3.66 nmol·(m·s). High solar radiation (SR), high temperature (), and moderate humidity were used to analyze stomatal ozone deposition; high SR, moderate , and high humidity were suitable to analyze non-stomatal ozone deposition. The cumulative total ozone flux (DF), cumulative stomatal ozone flux (DF), and cumulative non-stomatal ozone flux (DF) were 31.58, 9.99, and 21.59 mmol·m during the entire experimental period, and DF and DF accounted for 32% and 68% of DF. The ranges of yield loss in winter wheat were estimated at 11.58%-20.37% and 20%-23.56% using different assessment models based on the ozone dose index AOT40 and ozone flux index DF06, respectively.
为了基于臭氧通量指数更好地理解农业生态系统中的臭氧沉降和风险评估，在冬小麦田使用涡度协方差系统连续动态地测量臭氧沉降。我们分析了臭氧浓度、总臭氧通量以及气孔和非气孔通量的变化。研究了气孔/非气孔臭氧沉降速度与主要气象因素之间的关系。最后，基于臭氧剂量指数（AOT40）和臭氧通量指数（DF06）计算了冬小麦的产量损失。结果表明，日均臭氧浓度（）为32.9 nL·L。白天（08:00 - 18:00）和夜间总臭氧通量（）分别为 - 7.6 nmol·(m·s)和 - 3.1 nmol·(m·s)，平均日通量为 - 5.1 nmol·(m·s)。日均气孔臭氧通量（）和非气孔臭氧通量（）分别在0至 - 5.1 nmol·(m·s)和 - 1.43至 - 10.31 nmol·(m·s)范围内。平均日通量和分别为 - 1.43 nmol·(m·s)和 - 3.66 nmol·(m·s)。利用高太阳辐射（SR）、高温（）和适度湿度分析气孔臭氧沉降；高SR、适度和高湿度适合分析非气孔臭氧沉降。在整个实验期间，累积总臭氧通量（DF）、累积气孔臭氧通量（DF）和累积非气孔臭氧通量（DF）分别为31.58、9.99和21.59 mmol·m，DF和DF分别占DF的32%和68%。基于臭氧剂量指数AOT40和臭氧通量指数DF06的不同评估模型分别估计冬小麦产量损失范围为11.58% - 20.37%和20% - 23.56%。
