Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/2840
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Siti aisyah Nawawi | en_US |
dc.contributor.author | Noor Syuhadah Subki | en_US |
dc.contributor.author | Norrimi Rosaida Awang | en_US |
dc.contributor.author | Shaparas Daliman | en_US |
dc.date.accessioned | 2022-01-18T14:02:56Z | - |
dc.date.available | 2022-01-18T14:02:56Z | - |
dc.date.issued | 2021 | - |
dc.identifier.isbn | 978-967-2912-89-7 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/2840 | - |
dc.description | Others | en_US |
dc.description.abstract | A 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.iso | en | en_US |
dc.title | Spatial prediction for ambient particulate pollution using SPATAP model | en_US |
dc.type | National | en_US |
dc.description.page | 94-95 | en_US |
dc.title.titleofbook | e-Proceeding Carnival of Research & Innovation (CRI 2021) Virtual International Edition | en_US |
dc.description.type | Proceeding Papers | en_US |
dc.contributor.correspondingauthor | hajar.y@umk.edu.my | en_US |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
item.openairetype | National | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | Universiti Malaysia Kelantan | - |
crisitem.author.dept | Universiti Malaysia Kelantan | - |
Appears in Collections: | Faculty of Earth Science - Other Publication |
Files in This Item:
File | Description | Size | Format | |
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e-Proceeding CRI 2021_SitiHajarYaacob_Env.pdf | 703.73 kB | Adobe PDF | View/Open |
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