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  3. Faculty of Earth Science - Other Publication
Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2840
DC FieldValueLanguage
dc.contributor.authorSiti aisyah Nawawien_US
dc.contributor.authorNoor Syuhadah Subkien_US
dc.contributor.authorNorrimi Rosaida Awangen_US
dc.contributor.authorShaparas Dalimanen_US
dc.date.accessioned2022-01-18T14:02:56Z-
dc.date.available2022-01-18T14:02:56Z-
dc.date.issued2021-
dc.identifier.isbn978-967-2912-89-7-
dc.identifier.urihttp://hdl.handle.net/123456789/2840-
dc.descriptionOthersen_US
dc.description.abstractA model was established for PM10 prediction using a spatial approach named as SpatAP model. The SpatAp model is the improved version of the previous spatial model published by Ya'acob & Mar Iman (2020). The model has better specification with four significant predictor variables, namely RH, industry land-use, traffic count, and time for PM10 concentration prediction across Peninsular Malaysia.en_US
dc.language.isoenen_US
dc.titleSpatial prediction for ambient particulate pollution using SPATAP modelen_US
dc.typeNationalen_US
dc.description.page94-95en_US
dc.title.titleofbooke-Proceeding Carnival of Research & Innovation (CRI 2021) Virtual International Editionen_US
dc.description.typeProceeding Papersen_US
dc.contributor.correspondingauthorhajar.y@umk.edu.myen_US
item.fulltextWith Fulltext-
item.openairetypeNational-
item.languageiso639-1en-
item.grantfulltextopen-
crisitem.author.deptUniversiti Malaysia Kelantan-
crisitem.author.deptUniversiti Malaysia Kelantan-
Appears in Collections:Faculty of Earth Science - Other Publication
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