The early detection of sulphur emissions reductions using Wet Deposition Measurements |
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| Institution: | 1. Key Laboratory of Karst Georesources and Environment (Guizhou University), Ministry of Education, College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China;2. Institute of Earth Sciences, China University of Geosciences (Beijing), Beijing 100083, China;3. North Alabama International College of Engineering and Technology, Guizhou University, Guiyang 550025, China;4. School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng 224051, China |
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| Abstract: | 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. |
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