The impact of El Niño Southern Oscillation on space time PM10 levels in Peninsular Malaysia: the hierarchical spatio-temporal autoregressive models approach

Simple item page
dc.contributor.authorMaizatul F. Zulkifi
dc.contributor.authorRossita M. Yunus
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-10T03:25:08Z
dc.date.available2024-05-10T03:25:08Z
dc.date.issued2022
dc.description.abstractHierarchical spatio-temporal autoregressive models are useful to understand the impact of predictors on a spatio-temporal-dependent variable. This study aims to fit the model to monthly PM10 concentration using potential predictors from 33 monitoring stations within Peninsular Malaysia from 2006 to 2015 and predict the space-time data spatially and temporally. Using Monte Carlo Markov Chain (MCMC), spatial predictions are obtained based on the posterior and predictive distributions of the model. The posterior distribution of the model that is without covariates exhibits a strong temporal correlation between successive months and also a strong spatial correlation with an efective range of 300 km. Spatio-temporal models were ftted to the data with a sine term, a cosine term, and a lagged El Niño Southern Oscillation (ENSO) index as predictors. Of the 33 monitoring sites, 8 were selected randomly for validation sets.
dc.identifier.citationZulkifli, M. F., & Yunus, R. M. (2022). The impact of El Nino Southern Oscillation on space time PM10 levels in Peninsular Malaysia: the hierarchical spatio-temporal autoregressive models approach. Meteorology and Atmospheric Physics, 134(2), 25.
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/515
dc.language.isoen
dc.publisherSpringer
dc.publisher.alternativeMeteorology and Atmospheric Physics
dc.titleThe impact of El Niño Southern Oscillation on space time PM10 levels in Peninsular Malaysia: the hierarchical spatio-temporal autoregressive models approach
dc.typeJournal

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
1_The_impact_of_El_Nino_Southern_Oscillation_on_space_time_PM10_levels_in_Peninsular_Malaysia_the_hierarchical_spatio-temporal_autoregressive_models_approach.pdf
Size:
1.58 MB
Format:
Adobe Portable Document Format
Download

Collections

Quality