Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/2698
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wong Hie Ling | en_US |
dc.contributor.author | Shaparas Daliman | en_US |
dc.contributor.author | Marieanne Christie Leong | en_US |
dc.contributor.author | Siti Hajar Ya'acob | en_US |
dc.contributor.author | Muhammad Firdaus Abdul Karim | en_US |
dc.date.accessioned | 2022-01-17T03:54:34Z | - |
dc.date.available | 2022-01-17T03:54:34Z | - |
dc.date.issued | 2021-12 | - |
dc.identifier.isbn | 978-967-2912-89-7 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/2698 | - |
dc.description | Others | en_US |
dc.description.abstract | A mathematical expose model was developed at assess residents expose to pesticide vapours by living nearby the agricultural fields, drawing on the existing established exposure models.The model considers the complex processes of pesticide transfers in the environment, which is useful in supplementing costly and time-consuming field measurements. A validated version can be used as a cost-effective tool in pesticide authorisation and registration process to mitigate pesticide risks in the general public more effectively. | en_US |
dc.language.iso | en | en_US |
dc.title | A Mathematical Model Developed to Predict Residential Exposure to Pesticide Vapours Emitted from Treated Fields | en_US |
dc.type | National | en_US |
dc.description.page | 154 | en_US |
dc.title.titleofbook | e-Proceeding: Carnival of Research & Innovation (CRI 2021) Virtual International Edition | en_US |
dc.date.seminarstartdate | 2021-09-20 | - |
dc.date.seminarenddate | 2021-09-21 | - |
dc.description.type | Proceeding Papers | en_US |
dc.contributor.correspondingauthor | hlwong@umk.edu.my | en_US |
item.grantfulltext | open | - |
item.languageiso639-1 | en | - |
item.openairetype | National | - |
item.fulltext | With Fulltext | - |
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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eCRI Proceeding.pdf | e-Proceeding Carnival of Research & Innovation (CRI 2021) | 1.45 MB | Adobe PDF | View/Open |
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