G2TT
来源类型Article
规范类型其他
DOI10.1016/0004-6981(86)90333-1
The early detection of sulphur emissions reductions using Wet Deposition Measurements.
Munn RE; Whelpdale DM; Oehlert G; Summers PW
发表日期1986
出处Atmospheric Environment (1967) 20 (10): 1923-1930
出版年1986
语种英语
摘要This paper is the outgrowth of a workshop on the Detection of Trends in Wet Deposition Data, attended by atmospheric modellers, atmospheric chemists and statisticians in Toronto, November 1983. Methods for detecting changes or trends in network data which are described and evaluated include statistical and meteorological analyses of ‘before’ and ‘after’ time series at single stations, the analysis of changes in frequency distributions, and the analysis of entire network data sets. Relative advantages of using precipitation concentration vs deposition data sets are examined, and the added information on trends available from air concentration measurements (SO2 and particle-SO42−) is shown. The paper concludes with recommendations for data requirements and preferred approaches to trend or change detection using available statistical and modelling techniques.
主题Environment Program (ENV)
关键词trend detection statistical techniques emission reductions time series emission trends sulphur concentration/deposition time series indicators of change
URLhttp://pure.iiasa.ac.at/id/eprint/12723/
来源智库International Institute for Applied Systems Analysis (Austria)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/126943
推荐引用方式
GB/T 7714
Munn RE,Whelpdale DM,Oehlert G,et al. The early detection of sulphur emissions reductions using Wet Deposition Measurements.. 1986.
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