DOI: 10.1002/2017JD027311
Scopus记录号: 2-s2.0-85041656802
论文题名: Attribution and Statistical Parameterization of the Sensitivity of Surface Ozone to Changes in Leaf Area Index Based On a Chemical Transport Model
作者: Wong A.Y.H. ; Tai A.P.K. ; Ip Y.-Y.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 3 起始页码: 1883
结束页码: 1898
语种: 英语
英文关键词: Biogenic Emissions
; Dry Deposition
; Land Cover Change
; Leaf Area Index
; Statistical Model
; Surface Ozone
英文摘要: Many studies have shown that global land cover change can significantly affect surface ozone air quality, albeit still with great uncertainties due to the complex pathways involved. In this study, we develop a framework to systematically examine the effects of any changes in foliage density as represented by leaf area index (LAI) on surface ozone concentration. We perform a series of perturbation experiments using the GEOS-Chem chemical transport model. The spatial variability of the simulated results is used as a proxy to build a statistical model to quantify the sensitivity of surface ozone to LAI changes, which is found to arise mostly from the associated changes in dry deposition velocity and isoprene emission rate, whereas other factors and second-order effects are negligible. The spatial variations of ozone responses to LAI changes are found to be the most correlated with anthropogenic NOx emission, biogenic isoprene emission, wind speed, ozone concentration, baseline LAI, and changes in LAI. We also show that the sign of change in surface ozone under future LAI changes for a given location can be inferred by distinguishing between three different regimes based on local anthropogenic NOx emission and LAI. The statistical model is optimized so that it is applicable to a wide range of LAI changes and can be used as a quick assessment tool to estimate the impacts of various land use policies on ozone air quality, and a diagnostic tool to estimate the relative contribution of different pathways toward the overall ozone-LAI relationship. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114475
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: Earth System Science Programme, Faculty of Science, The Chinese University of Hong Kong, Hong Kong; Now at Department of Earth and Environment, Boston University, Boston, MA, United States; Graduate Division of Earth and Atmospheric Sciences, Faculty of Science, The Chinese University of Hong Kong, Hong Kong
Recommended Citation:
Wong A.Y.H.,Tai A.P.K.,Ip Y.-Y.. Attribution and Statistical Parameterization of the Sensitivity of Surface Ozone to Changes in Leaf Area Index Based On a Chemical Transport Model[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(3)