| Title: | A review on methodology in O(3)-NOx-VOC sensitivity study |
| Address: | "College of Environmental Sciences and Engineering, China West Normal University, Nanchong, Sichuan, China; College of Biology and Environmental Sciences, Jishou University, Jishou, Hunan, China. College of Environmental Sciences and Engineering, China West Normal University, Nanchong, Sichuan, China; College of Biology and Environmental Sciences, Jishou University, Jishou, Hunan, China. Electronic address: shikai@jsu.edu.cn" |
| DOI: | 10.1016/j.envpol.2021.118249 |
| ISSN/ISBN: | 1873-6424 (Electronic) 0269-7491 (Linking) |
| Abstract: | "Gaining insight into the response of surface ozone (O(3)) formation to its precursors plays an important role in the policy-making of O(3) pollution control. However, the real atmosphere is an open and dissipative system, and its complexity poses a great challenge to the study of nonlinear relations between O(3) and its precursors. At present, model-based methods based on reductionism try to restore the real atmospheric photochemical system, by coupling meteorological model and chemical transport model in temporal and spatial resolution completely. Nevertheless, large inconsistencies between predictions and true values still exist, due to the great uncertainty originated from emission inventory, photochemical reaction mechanism and meteorological factors. Recently, based on field observations, some nonlinear methods have successfully revealed the complex emergent properties (long-term persistence, multi-fractal, etc) in coupling correlation between O(3) and its precursors at different time scales. The emergent properties are closely associated with the intrinsic dynamics of atmospheric photochemical system. Taking them into account when building O(3) prediction model, is helpful to reduce the uncertainty in the results. Nonlinear methods (fractal, chaos, etc) based on holism can give new insights into the nonlinear relations between O(3) and its precursors. Changes of thinking models in methodology are expected to improve the precision of forecasting O(3) concentration. This paper has reviewed the advances of different methods for studying the sensitivity of O(3) formation to its precursors during the past few decades. This review highlights that it is necessary to incorporate the emergent properties obtained by nonlinear methods into the modern models, for assessing O(3) formation under combined air pollution environment more accurately. Moreover, the scaling property of coupling correlation detected in the real observations of O(3) and its precursors could be used to test and improve the simulation performance of modern models" |
| Keywords: | *Air Pollutants/analysis *Air Pollution/analysis Environmental Monitoring *Ozone/analysis *Volatile Organic Compounds/analysis Holism Nitrogen oxides Ozone Reductionism Volatile organic pollutants; |
| Notes: | "MedlineLiu, Chunqiong Shi, Kai eng Review England 2021/10/03 Environ Pollut. 2021 Dec 15; 291:118249. doi: 10.1016/j.envpol.2021.118249. Epub 2021 Sep 29" |
