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Spatial–temporal interpolation of non methane hydrocarbon levels in Kuwait

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  • S. A. Alawadhi
  • F. A. Alawadhi

Abstract

This article handles the prediction of hourly concentrations ofnon methane hydrocarbon (NMHC) pollutants at 15 unmonitored sites in Kuwait using the data recorded from 6 monitored stations at successive time points. The trend model depends on hourly meteorological variables and seasonal effects. The stochasticcomponent of the trend model which has spatiotemporal features is modeled as autoregressive temporal process. A spatial predictive distribution for residuals of the AR model is developed for the unmonitored sites. By transforming the predicted residuals back to the original data scales, we impute Kuwait’s hourly NMHC field.

Suggested Citation

  • S. A. Alawadhi & F. A. Alawadhi, 2017. "Spatial–temporal interpolation of non methane hydrocarbon levels in Kuwait," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(6), pages 2764-2779, March.
    • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:6:p:2764-2779
    DOI: 10.1080/03610926.2014.968731
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