DOI: 10.1016/j.atmosres.2018.09.012
Scopus记录号: 2-s2.0-85053752174
论文题名: Natural and anthropogenic contributions to long-term variations of SO2, NO2, CO, and AOD over East China
作者: Kang H. ; Zhu B. ; van der A R.J. ; Zhu C. ; de Leeuw G. ; Hou X. ; Gao J.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2019
卷: 215 起始页码: 284
结束页码: 293
语种: 英语
英文关键词: Anthropogenic
; Contribution
; Long-term variation
; Natural
; Pollutants
Scopus关键词: Aerosols
; Emission control
; Energy policy
; Energy utilization
; Time series
; Anthropogenic
; Contribution
; Long-term variation
; Natural
; Pollutants
; Nitrogen oxides
; aerosol
; atmospheric pollution
; carbon monoxide
; concentration (composition)
; emission inventory
; human activity
; nitrogen oxides
; sulfur dioxide
; temporal variation
; time series analysis
; trace gas
; China
英文摘要: Concentrations of atmospheric pollutants over East China have varied considerably during the past decades. These variations are partly due to variations of human activities, e.g., increasing energy consumption and implementation of government emission control policies, and partly to natural fluctuations. This study aims to separate the effects of natural processes and anthropogenic activities on the increase/decrease of the concentrations of some of the most important pollutants (SO2, NO2, CO and aerosols) over East China in the last decade. This was achieved by the comparison of the temporal variations in long-term time series of satellite-retrieved aerosol optical depth (AOD) and vertical column densities (VCDs) of SO2, NO2, and CO, with those in model-simulated time series of the natural variations only. The latter were created by the use of the same anthropogenic emissions throughout the whole simulation, while using re-analysis data (MERRA) to describe meteorological processes and natural emissions. Thus, the comparison between observed and simulated temporal variations reveals the effects due to anthropogenic emissions only, assuming that the atmospheric processes affect natural and anthropogenic species in the same way. In the analysis, a Kolmogorov–Zurbenko (KZ) filter is used to extract long-term components from both the observed and simulated data and normalization to the situation at a certain reference point is used to eliminate bias between observations and simulations. By this new method, natural and anthropogenic contributions to long-term variations of trace gases and AOD are quantitatively estimated. The results show that NO2 VCDs increased from 2004 to 2011 by 76% and of the overall increase in this period only 1% ± 1% was attributed to natural factors, 99% ± 1% attributed to anthropogenic factors. AOD increased by 24% between 2001 and 2011 and of the overall increase 24% ± 32% was due to natural factors and 76% ± 32% was due to anthropogenic factors. SO2 VCDs decreased by 15% from 2007 to 2013, natural and anthropogenic factors contributed respectively 16% ± 14% and 84% ± 14% to the overall decrease in this period. CO decreased since 2003 with 13% and of the overall decrease 6% ± 6% was due to natural factors and 94% ± 6% was due to anthropogenic factors. © 2018 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109054
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands; Research and Development Center for Global Change, Japan Agency for Marine-Earth Science and Technology, Yokohama, 2360001, Japan; Finnish Meteorological Institute, Climate Research Unit, Helsinki, FI-00101, Finland
Recommended Citation:
Kang H.,Zhu B.,van der A R.J.,et al. Natural and anthropogenic contributions to long-term variations of SO2, NO2, CO, and AOD over East China[J]. Atmospheric Research,2019-01-01,215