Modelling emission trends from non-constant time series of PM10 concentrations in Christchurch, New Zealand
This paper presents an attempt to model the trend of emissions through analysis of a time series of PM10 concentrations in Christchurch, New Zealand. Emissions are not constant over time, but show high seasonality. Fluctuations are removed by creating a time series in which concentrations do not show dependency on ambient air temperature. Remaining meteorological influences are removed through multiple linear regression. Finally, a moving average filter is applied to reveal the low-frequency trend in the residuals of the meteorologically adjusted time series. The modelled trend shows a peak in emissions in 2001-2002 with a steady decrease thereafter.
SubjectsScience & Technology
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Ubiquity Symposium: The science in computer science: unplugging computer science to find the science Bell, T. (University of Canterbury. Computer Science and Software Engineering, 2014)
Chang, C-L.; McAleer, M. (University of Canterbury. Department of Economics and Finance, 2014)The paper analyses academic journal quality and research impact using quality weighted citations versus total citations, based on the widely-used Thomson Reuters ISI Web of Science citations database (ISI). A new Index of ...
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